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A Study of the Effectiveness of Human
Resource Information System on an
Organisation with special reference to
Macleod’s Pharmaceutical Ltd.
Dissertation Submitted to the D.Y. Patil University,Navi Mumbai
Department of Business Management in partial fulfillment of the requirements for the award of
the Degree of Master in Philosophy (Business Management)
Submitted by:
SHIKHA SINGH (Roll No - DYP-MPhil-11013)
Research Guide Dr. R. GOPAL
DIRECTOR, DEAN& HEAD OF THE DEPARTMENT D.Y. PATIL UNIVERSITY,NAVI MUMBAI
DEPARTMENT OF BUSINESS MANAGEMENT, Sector 4, Plot No. 10,
CBD Belapur, Navi Mumbai – 400 614
MAY 2014
2
A Study of the Effectiveness of
Human Resource Information
System on an Organisation with
special reference to Macleod’s
Pharmaceutical Ltd.
3
DECLARATION
I hereby declare that the thesis titled ―A Study of the Effectiveness of Human
Resource Information System on an Organisation with special reference to
Macleod‘s Pharmaceutical Ltd‖. Submitted for the Award of Master of
Philosophy (M. Phil) in Business Management at D.Y. Patil University,Navi
Mumbai Department of Business Management is my original work and the
Dissertation has not formed the basis for the award of any degree,
associateship, fellowship or any other similar titles.
The material borrowed from other sources and incorporated in the thesis has
been duly acknowledge.
I understand that I myself could be held responsible and accountable for
plagiarism, if any, detected later on
The research papers published based on the research conducted out of an in
the course of the study are also based on the study and not borrowed from
other sources.
Date: Signature of the student
Enrollment No: DYP-MPhil-11013
4
CERTIFICATE
This is to certify that the dissertation titled ―A Study of the Effectiveness of
Human Resource Information System on an Organisation with special
reference to Macleod‘s Pharmaceutical Ltd‖ is the bonafide research work
carried out by Ms. SHIKHA SINGH, student of Master in Philosophy (Business
Management), at D.Y. Patil University, Navi Mumbai Department of Business
Management, in partial fulfilment of the requirements for the award of the
Degree of ‗Master in Philosophy (Business Management)‘ and that the
dissertation has not formed the basis for the award previously of any degree,
diploma, associate ship, fellowship or any other similar title.
Place: Mumbai Dr. R. Gopal Date: Signature of the Guide
5
ACKNOWLEDGEMENT
First, I would like to place on record my gratitude to all concerned respectable
executives of Macleod‘s Pharmaceutical Ltd forgiving me this opportunity of
Research work which has been a pure learning experience and which have
enlightened my knowledge and skills about the HRIS practices in industry. I
would also like to express my gratitude towards the D.Y. Patil University ,Navi
Mumbai Department of Business Management for giving me the opportunity
to MPhil from their esteemed institution.
I would like to express my sincere gratitude to my guide Prof. Dr. R. Gopal,
Director, Dean and Head of the Department at Department of Business
Management of D.Y.Patil University,Navi Mumbai for the continuous
support of my Mphil study and research, for his patience, motivation,
enthusiasm, and immense knowledge. His guidance helped me in all the time
of research and writing of this thesis. I could not have imagined having a
better advisor and mentor for my Mphil study.
My thanks and appreciations go to my colleague in developing the project and
people who have willingly helped me out with their abilities. I would be
failing in my duty if I do not acknowledge with a deep sense of gratitude
to my family for their support and motivation.
6
PREFACE
While searching for a suitable topic for the M.Phil. Dissertation, I came across
a problem that I faced at work with the Human Resource Planning in HRIS.
The topic having aroused my curiosity, discussions were held with several
people in the HRD of various sector, to understand the veracity of the
above thought process and also understand the real issues plaguing the
industry.
All these aspects then resulted in the development of the project report titled
―A Study of the Effectiveness of Human Resource Information System on an
Organisation with special reference to Macleod‘s Pharmaceutical Ltd‖ It is
strongly hoped that this project covers not only the various requirements of
the Project Study but also of the Industry.
Signature of the Student (Shikha Singh)
7
Contents
Executive Summary………………………………………… 16-24
1. Introduction……………………………………………….. 24-30
2 .Literature Review…………………………... …………... 31-46
3 .Objective of Study ………………………………………. 47-53
4 .Research Method………………………………………... 53-74
5.Concepts and theory
5.1 HRIS Definition…………………………………………. 75-76
5.2 History of HRIS…………………………………………. 77-78
5.3 Types of HRIS………………………………………….. 79-81
5.4 Application of HRIS……………………………………. 82-88
5.5 Human Resource Planning…………………………… 89-90
5.6 Human Resource Forecasting ………………………. 91-92
5.7 Demand Forecasting…………………………………. 93-99
5.8 Supply Forecasting……………………………………. 100
5.9 Estimating Future Human Resource Needs………… 101
5.10 Outcome of the HR Planning Process……………. 102-105
5.11Information required to successfully forecast human resource demand and supply……………………………… 106
5.12 Identify Stakeholder to be involved…………………. 107-108
8
5.13 Human Resource Action…………………………….. 109-109
5.14 Succession Planning in HRIS………………………. 111-119
5.15 Corporate Communication…………………………. 120-122
6. Case Study of Macleod‘s Pharmaceuticals Ltd………. 123-126
7. Data Analysis ……………………………………………. 120-182
8. Data Findings ……………………………………………. 183-186
Annexure1………………………………………….............. 187-190
Glossary…………………………………………….............. 191-195
Bibliography………………………………………………… 195-200
9
List of Tables
1. Objectives for introducing HRIS ……….............................................. 43
2. End users of the HRIS once it was installed ..................................... 44
3. Distribution of sample among the department ……………................. 45
4. Sample collected at Macleod‘s pharmaceutical ltd………………….. 56
5. Breakdown of Variables ……………................................................ 60
6. Distribution of sample among the department………………………… 110
6. Measurement scales for variables……………………………………. 62
6.1. Types of data requirements and data collection methods…….... 63
7. Data Requirement table ………………............................................ 65-66
8. Data Requirement table ……………................................................ 67-68
9. Data Requirement table ……………................................................ 69-70
10. Multi-item indicators of independent variables…………………….. 74
11.Target population at Macleods pharmaceuticals Ltd………………. 124
12. Response rate from the organisations............................................ 126
10
13 Show the Descriptive data of the variable JA1, JA2, JA3………… 127
14. Tally for Discrete Variables: JA 1……............................................ 128
15. Tally for Discrete Variables: JA 2…............................................... 129
16. Tally for Discrete Variables: JA 3……........................................... 130
17. Show the Descriptive data of the variable ER1, ER2, ER3………… 131
18. Tally for Discrete Variables: ER1…….............................................. 132
19 .Tally for Discrete Variables: ER2…….............................................. 133
20. Tally for Discrete Variables: ER3……............................................... 134
21. Descriptive Statistics LS1…SP2……................................................ 135
22 .Tally for Discrete Variables: LS1……............................................... 137
23. Tally for Discrete Variables: LS2…….............................................. 138
24. Tally for Discrete Variables: LS3……............................................... 139
25. Tally for Discrete Variables: LD1……............................................... 140
26. Tally for Discrete Variables: LD2……............................................... 141
27. Tally for Discrete Variables: LD3…….............................................. 142
28. Tally for Discrete Variables: SP1……............................................... 143
11
29. Tally for Discrete Variables: SP2……............................................... 144
30. Tally for Discrete Variables: CO1….................................................. 145
31. Tally for Discrete Variables: CO2….................................................. 146
32. Tally for Discrete Variables: CO3….................................................. 147
33. Summary of Descriptive statistics …................................................ 148
34. Tally for Discrete Variables: JA 1, JA2, JA3, LS1, LS2, LS3, LD1, LD2…………...........................................................................................
151-152
12
List of Figure
1. Schematic diagram for the study framework…. 51
2.Variables in the study framework………………. 59
3.Historical Evolution HRM……………………….. 76
4.Functional components in any HRIS…………… 78
5. Type of HRIS…………………………………… 79
6. Model of an Organizational System Centred on HRIS 85
7. Resource Flow of HRIS Model…………………. 88
8. Features of the HRIS…………………………… 64
9. Human Resource Planning ……………………. 67
10. Elements of Forecasting……………………… 81
11. HR value pyramid …………………………….. 111
12. Core of Succession Planning in HRIS……….. 113
12.1. The stages of recruitment and selection….. 92
13. Variables code ………………………………. 127
14. Summary Report for JA1……………………. 128
15. Summary Report for JA2……………………. 130
13
16. Summary Report for JA3……………………. 132
17. Summary Report for ER1…………………… 133
18. Summary Report for ER2……………………. 134
19. Summary Report for ER3…………………….. 135
20. Summary Report for LS1…………………….. 136
21. Summary Report for LS2…………………….. 137
22. Summary Report for LS3…………………….. 138
23. Summary Report for LD1…………………….. 139
24. Summary Report for LD2……………………. 140
25. Summary Report for LD3……………………. 141
26. Summary Report for SP1…………………….. 142
28. Summary Report for CO1……………………. 143
29. Summary Report for CO2……………………. 144
30. Summary Report for CO3……………………. 145
31. Hypothesis t- test JA1 ……………………….. 154-155
32. Hypothesis t- test JA2……………………….. 155
33. Hypothesis t- test JA3……………………….. 157
14
34.Hypothesis t- test ER1……………………….. 159
35.Hypothesis t- test ER2……………………….. 161
36.Hypothesis t- test ER3……………………….. 163
37. Hypothesis t- test LS1 ………………………. 165
38. Hypothesis t- test LS2……………………….. 167
39. Hypothesis t- test LS3……………………… 169
40. Hypothesis t- test LD1……………………….. 171
41. Hypothesis t- test LD2………………………… 173
42. Hypothesis t- test LD3……………………….. 175
43. Hypothesis t- test SP1…………………………. 178
44. Hypothesis t- test SP2……………………….. 180
15
List of abbreviations
HRM Human Resource Management
ERP Enterprise Resource Planning
ERPIS Enterprise Resource Planning Information Systems
HRP Human Resource Planning
HR Human Resource
HRD Human Resource Development
HRIS Human Resource Information Systems
IS Information Systems
IT Information Technology
SHRP Strategic Human Resource Planning
JA Job Analysis
SP Succession Planning
CO Communication
LS Labour Supply
LD Labour Demand
16
EXECUTIVE SUMMARY
17
Executive Summary
The human resource information system (HRIS) is ―the composite of
databases, computer applications, and hardware and software necessary to
collect/record, store, manage, deliver, present, and manipulate data for
human resources‖ (Broderick and Boudreau, 1992). A survey conducted in
1998 (Ball, 2001) showed that 60 percent of Fortune 500 companies use the
HRIS to support daily human resource management (HRM) operations.
The last decade has seen a significant increase in the number of
organisations gathering, storing and analysing human resources data using
Human Resource Information Systems (HRIS) (Ball, 2001; Barron et al.,
2004; Hussain et al., 2007; Ngai et al., 2006). Strategic value can be derived
using HRIS tools that assist decision-making concerning vital HR functions
(Farndale et al., 2010; Troshani et al., 2011). HRIS gave the information
needed the strategic planners to forecast future workforce demand and
supply. Human Resource Planning is the procedure used to tie human
resource issues to the organization's business needs.
Human Resource Information Systems (HRIS) have become one of the most
important tools for many businesses. HRIS is advancing to become its own
information technology (IT) field. With HRIS, the administrative efficiency
maintains faster information processing, improved employee communications,
and greater information accuracy (Overman, 1992; Beadless, et al., 2005),
18
lower HR costs and overall HR productivity improvements (Beadles et al.,
2005;Dery et al., 2009; Wiblen et al., 2010; Troshani et al., 2011).
As valuable as HR planning is, many companies ignore this opportunity.
Human resource planning links people management to the organization‘s
mission, vision, goals and objectives, as well as its strategic plan and
budgetary resources. A critical component of an effective HR plan is the
method of forecasting. HRIS offer an alternative channel of communication
with employees and line managers by carrying organisation wide news stories
and highlighting policy changes. As for employee and manager, self-service
one of the fastest growing trends in the delivery of HR information is
employee self – service.
HRIS applications help employees to access and maintain HR information
about them. Human resource information (HRIS) is a system that help an
organization acquire, store, manipulate, analyses, retrieve, and distribute
information about an organization‘s human resources (Tannenbaum,1990).
Human Resource Information Systems (HRIS) is a process that utilizes the
information technology for the effective management of human resource
functions and applications. Actually HRIS is directed towards the HR
department itself (Ruel, Bondarouk & Looise, 2004), but the use of HRIS can
provide a number of benefits not only to the HR function, but also line
managers, and the wider organization (Parry, 2009).
This current research study is an attempt to create a framework for the
study of the effectiveness of the applications of HRIS .The Objective of study
19
are to study the Effectiveness of HRIS Recruitment application in the
organisation, to explore the contribution of Human Resource Information
System in Human Resource Planning and to study the use of Human
Resource Information System in corporate communication. The Research problem understood were, HRIS does not play a significant role
in Macleod‘s Pharmaceutical HR planning department to manage their
employees fairly, equally and transparently. How does HRIS contribute to HR
planning? Do the available HRIS functionalities adequately support
organisational HR planning efficiency and effectiveness? This dissection is to
investigate the contribution of HRIS to human resources planning through
forecasting supply of human resource , training and development subsystems
to reveal the strength of HRIS as a management information system and as a
decision support system as against a mere transaction processing system.
The current study research question were - How effective and efficiently does
the HRIS recruiting application in the organisational planning? How effective
and efficiently does the Human Resource Planning HRIS recruiting application
in the organisational planning.
This study would guide future HRIS users to make optimum use of HRIS
functionalities in HR planning rather than employing it only for administrative
works. The Study framework consists of 3 sub systems of HRD: HRIS
recruitment, HRIS Human Resource Planning and HRIS Corporate
Communication. HRIS recruiting subsystem represents the functionalities of
HRIS job analysis and inventory control. HRIS labour Forecasting and
20
Succession planning contributed by HRP system. HR – Employee relation
and Employee – Management relation represent Corporate Communication
Application.
A case study of Macleods Pharmaceuticals Ltd. was used for this study
purpose The data of 100 respondents were collected. Research strategies
developed to plan and answer the research questions. Sampling method used
is quota sampling, which was divided into 3 subset viz HRD, IT specialist
coordinating HRIS and Employees using HRIS. Data collected through the
questionnaire provided standard data allowing easy comparison. The facts
generated from the HR and the employees through field visits to Macleod‘s
pharmaceutical Ltd. HRIS through questionnaire, which was designed base
on many variables. Hypotheses were generated for future research. From the
following statements
1. Use of HRIS job analysis process in an organisation improves the efficiency
and effectiveness of HR planning.
2. The greater utilisation of HRIS Forecasting Demand and Supply analysis in
an organisation increases the efficiency and effectiveness of HR planning.
3. Succession planning of HRIS increases the efficiency and effectiveness of
HR planning of an organisation.
4. HRIS implementation is a factor for effective communication in the
organisation
Questionnaire, designed using the likert scale method was e-mailed to the
senior HR executives and the employees of the organisation who deals daily
21
with HRIS to get their views. The questionnaire was based on three main
sections; namely HRIS role in Human Resource Planning Forecasting
demand and supply, HRIS role in Recruitment - Job Analysis and
Communication - HR distance and isolation from the employees. HRIS
vendor‘s web sites used to find out the correct HRIS users, HRIS features,
and cost. Journal articles and references used to find out information on
previous research work relevant to Information system, HRM, HR planning
and HRIS Survey reports by Chartered Institute of Personnel and
Development were also used for reference. HRIS role identified from three
sub systems: HRIS recruiting subsystem, HRIS Human Resource Planning
subsystem, and HRIS Communication. From these three sub systems,
mediate variables identified considering available HRIS features. Data
requirements table were made, variable analysis code were formed which
comprise of the Principle code JA – job analysis, LD- Labor Demand, SP-
Succession planning.
HRIS job analysis process efficiency and effectiveness measured using three
factors JA1, JA2 AND JA3.
HRIS E- recruitment efficiency and effectiveness measured using three
factors ER1, ER2, ER3.
HRIS labour demand and supply analysis process effectiveness was
measured using six factors namely LS1, LS2, LS3, LD1, LD2, LD3, SP1, SP2.
HRIS communication analysis effectiveness measured using three CO1, CO2,
and CO3 factors.
22
Data analysis was done using Minitab 17, a statistical tool. A single sample t-
test was conducted using a hypothesized mean value of the variables. JA1
represent - HRIS identifies unfilled positions accurately. The most favorable
answer was agreed with 45% of the total respondent for JA1. JA2 represent -
HRIS analyses each job description and its job specification. The most
favorable answer was neither agrees nor disagreed with 35% of the total
respondent for JA2. JA3 represent - HRIS evaluates the recruiting processes
effectively. The most favorable answer was strongly agreed with 48% of the
total respondent for JA3. ER1 represent- HRIS leverages employee‘s talent in
the right place at right time. The most favorable answer was strongly agreed
with 46% of the total respondent for ER1. ER2 represent HRIS help to reduce
costs. The most favorable answer was strongly agreed with 46% of the total
respondent for ER2 .ER3 represent - HRIS eliminates unsuitable applicants
early and focus on promising candidates. The most favorable answer was
strongly agreed with 40% of the total respondent for ER3.The most favorable
answer was strongly agreed with 59% of the total respondent for LS1 which
represent HRIS forecasts supply of human resource. LS2 represent HRIS
estimates future human resources requirement of the organization. The most
favorable answer was strongly agreed with 32% of the total respondent for
LS2. The most favorable answer for LS3 which represent HRIS ensures
organization has right kind and numbers of employees at right place at
right time( EMPLOYEE PLACEMENT ) was strongly agreed with 27% of the
total respondent. The most favorable answer was strongly agreed with 48% of
the total respondent for LD1 HRIS manages internal information within the
23
organisation.LD2 represent HRIS manages external information outside the
organization. The most favorable answer was strongly agreed with 32% of the
total respondent for LD2. The most favorable answer was agreed with 49% of
the total respondent. SP1 represent HRIS identifies a logical progression
path and the steps required for advancements. The most favorable answer
was agreed with 53% of the total respondent for SP1. SP2 represent - Future
supply and demand of labor can be forecast using What-If analysis
function of HRIS. The most favorable answer was agreed with 51% of the
total respondent for SP2. CO2 represent - HRIS create platform for Open
Communication. The most favorable answer was agreed with 51% of the total
respondent for CO2.
This reduced data was further analyzed by applying t- test. Above graphical
analysis aim was to compare the sample mean with the hypothesized mean
for probability estimation, that the sample mean is different by chance or
random occurrence. Summary tables show the means and grand means of
five factors those were helpful to explain the direction and extent of difference
of perceptions of managers/employees in the organization.
Research findings clearly show that HR executives are well aware that they
can increase the efficiency of HR planning through HRIS, saving time and
cost. However, findings do not support the premise that HRIS increases the
efficiency of HR planning other than in functional work such as job analysis.
24
Organizations should identify the strategic value and competitive advantage
that they can gain through HRIS in HR planning. Strategic planning linked with
the HRIS can make the organization efficient for merger, acquisition and
takeover.
Corporate Communication through HRIS could build up strong organization
culture, which has been least bother in the organization. Human Resource
Information System will help the organization in building corporate image.
HRIS role can be studied in any of the sector as human resources are assets
of the organizations irrespective of the sector. Consequently, same research
can be conducted in future to know whether HRIS is improving with changing
time or not.
The foremost research limitation is on the subject of the industry perspective.
The research study was restricted to those respondents who wish to respond
to the questionnaire; therefore future research might focus on a generously
proportioned sample of respondents, in order to validate the results of the
study.
25
CHAPTER 1
INTRODUCTION
26
Chapter1
INTRODUCTION
The last decade has seen a significant increase in the number of
organisations gathering, storing and analysing human resources data using
Human Resource Information Systems (HRIS) (Ball, 2001; Barron et al.,
2004; Hussain et al., 2007; Ngai et al., 2006). Strategic value can be derived
using HRIS tools that assist decision-making concerning vital HR functions
(Farndale et al., 2010; Troshani et al., 2011). HRIS gave the information
needed the strategic planners to forecast future workforce demand and
supply. Considering it as a tool that helps employers in retaining the right
employees. Paying, them competitive salaries compared to the market, and
training them to develop their skills and abilities to carry out their existing and
future jobs do it.
To ensure that management practices support business needs, organizations
must continually monitor changing environmental conditions and devise HRM
strategies for dealing with them. Human Resource Planning is the procedure
used to tie human resource issues to the organization's business needs.
Human Resource Information Systems (HRIS) have become one of the most
important tools for many businesses. Even the small, 20-person office needs
to realize the benefits of using HRIS to be more efficient. Many firms do not
27
realize how much time and money they are wasting on manual human
resource management (HRM) tasks until they sit down and inventory their
time. HRIS is advancing to become its own information technology (IT) field. It
allows companies to cut costs and offer more information to employees in a
faster and more efficient way. Especially in difficult economic times, it is
critical for companies to become more efficient in every sector of their
business; human resources (HR) are no exception.
To increase the effectiveness of HRM, organizations are becoming more and
more dependent on HRIS (Ball, 2001; Lippert and Swiercz, 2005; Troshani, et
al., 2011). At the functional level, HRIS can keep track of employees,
applicants, and contingent workers qualifications, demographics, performance
evaluation, professional development, payroll, recruitment, and retention
(Harris and Desimone, 1995; Troshani et al., 2011). With HRIS, the
administrative efficiency maintains faster information processing, improved
employee communications, and greater information accuracy (Overman,
1992; Beadless, et al., 2005), lower HR costs and overall HR productivity
improvements (Beadles et al., 2005;Dery et al., 2009; Wiblen et al., 2010;
Troshani et al., 2011).
The purposes of HR planning are to enable organizations to anticipate their
future HRM needs and to identify practices that will help them to meet those
needs. It takes short or long term (three or more years to do HR planning. Its
aim is to ensure that people will be available with the appropriate
characteristics and skills when and where the organization needs them. The
28
use of HR planning enables companies to gain control of their future by
preparing for likely events. That is, they can anticipate change and devise
appropriate courses of action. When companies learn how to capitalize
on future events, their own future improves
As valuable as HR planning is, many companies ignore this opportunity.
Some see it as too difficult and frustrating, while others simply do not see the
need for it. However, when failing to properly plan for their human resources,
employers respond to events after they occur, rather than before; they
become reactive, rather than proactive. When this outcome occurs, an
organization may be unable to correctly anticipate an increase in its future
demand for personnel. At best, such a company recruit personnel at the last
minute and may fail to find the best candidates. At worst, the company may
become seriously understaffed.
HRP is to get the right number of people with the right skills, experience, and
competencies in the right jobs at the right time and at the right cost. This
ensures that the business production requirements are in efficient and
effective manner. Having too many employees is problematic due to the risk
of high labour expenses, downsizing, or layoffs. Having too few employees is
also problematic due to high overtime costs, the risk of unmet production
requirements, and the challenge of finding the instant human resources
needed to get the job done. Human resource planning links people
management to the organization‘s mission, vision, goals and objectives, as
well as its strategic plan and budgetary resources. A critical component of an
29
effective HR plan is the method of forecasting. Forecasting refers to the
interaction between the decision maker‘s perceptual and cognitive processes
and the objective characteristics of their environment.
HRIS offer an alternative channel of communication with employees and line
managers by carrying organisation wide news stories and highlighting policy
changes. As for employee and manager, self-service one of the fastest
growing trends in the delivery of HR information is employee self – service.
HRIS applications help employees to access and maintain HR information
about them. In the organisation such as ICL, Nationwide, employees are able
to select their own benefits package. Similarly, manager‘s self-service
provides a variety of HR tools and information for manager thereby improving
managerial effectiveness. Increasingly, employee can carry out some basic
HR transaction using interactive self-service application. Accuracy of the
records improves when staff handles the primary responsibility for maintaining
their own personal details.
30
CHAPTER 2
LITERATURE REVIEW
31
Chapter 2
LITERATURE REVIEW
During this study Several Articles, Research paper and Survey Report on
Human resource Information System was reviewed.
HRIS Design Characteristics: Towards a General Research Frame-work
(Daniel Mueller, Stefan Strohmeier, Christian Gasper) which was Published
by Saarland University, Germany in the Year 2010 .The objective of the
research was to examine the Problem How far the HRIS under consideration
actually meets the (elicited/existing) design characteristics relevant to HRIS
success. The objective of the paper was to propose a general research
framework of HRIS design characteristics, which allows researchers to
understand and apply crucial aspects relevant to HRIS design characteristics
better so that practitioners get support in developing, implementing and
permanently improving successful HRIS. Study Population taken was BPO
(Employee), where the unit of analysis was the employees who work in
organizations where HRIS have been introduced were selected to give their
responses on the questions asked on resistance to HRIS. The questionnaire
was sent to 200 employees. The Method of Sampling used was Simple
Random Sampling.Researcher has use of Questionnaire method for data
collection, where 200 employees questionnaire were send. Sixty six questions
were included in this questionnaire. The data analysis was prepared through
32
SPSS (Statistical Package for Social Sciences) version 16 which were used to
analyze the data set. Bar charts are used wherever possible.The key findings
of the research proposal were the framework hopefully will stimulate future
research regarding the development, implementation and improvement of
HRIS by means of particular design characteristics. In so doing, the
framework was thought to be continuously elaborated by, respectively
supports researchers in their attempts to constantly improve HR-related IT
artifacts by means of (particular/particular bundles of) HRIS-related design
characteristics.Another research paper published at Management knowledge
and Learning Conference; The importance of using human resources
information systems (HRIS) and a research on determining the success of
HRIS. (Yasemin Bal, Serdar Bozkurt, Esin Ertemsir) Year of Publication 2012.
The research objective was to analyse the relationship between the
satisfaction of employees from HRIS and their perceptions of HRIS. The
Study Population was HR employees from different sectors participated to the
research; the Unit of Analysis was 78 as only 78 respondent had answered
the questionnaire. Purposive sampling was selected, which gave the
researchers to use their own judgment to select suitable people for the
sample The First scale had 4 dimensions and 22 items that measured HRIS.
The second scale had 3 items that measured HRIS satisfaction.
Questionnaires played as measurement instrument of this research .Data
analysis was performed using SPSS for Windows 18.0 package program. T-
test and one-way ANOVA test were used to determine the differences
according to demographic qualifications. This Research founded that, the
33
satisfaction of employees working as a manager/vice manager, specialist or
HR assistant show difference. The use of HRIS in organizations has various
advantages for managers especially in decision making processes .The
results of the research reveal that HR employees perceive HRIS useful and
they are Satisfied with the system Also, it is found those employees‘
perceptions of HRIS show difference according to their position and
satisfaction of employees from HRIS shows difference according to their
position. The research paper Titled : Human Resource Information System
and its impact on Human Resource Planning: A perceptual analysis of
Information Technology companies ( Dr. Shikha N. Khera1, Ms. Karishma
Gulati ) in the Journal IOSR Journal of Business and Managementwhich was
published by IOSRJBM ; in the Year ISSN: 2278-487X Volume 3, Issue 6
(Sep,-Oct. 2012) have the Objective of to investigate the benefits of HRIS in
IT organizations. To probe the role of HRIS in strategic activities by HR
managers of IT companies. To explore the overall contribution of HRIS in
human resource planning of IT organisation. Sample of 127 respondents as
the study population from top 7 IT companies was consider. Unit of analysis
were employee of the IT organisation, where method of sampling used was
Simple random sampling. Data Collection was performed through primary
source i.e. questionnaire and Secondary sources i.e. Internet, websites of
various IT companies etc. Data analysis showed the Highest mean of 3.02 i.e.
HRIS is its ability to manage ample data and Lowest standard deviation of
0.766 showed that people are comprehensible about the ability of HRIS to
store voluminous data. The Human resources are important asset for IT
34
organization as it is the only face where if an organization lacks they have to
recompense in form of their competitiveness. HRIS is an excellent tool for
HRP but there are still some bones to pick up and the actions that HRIS has
not absorbed, should need to work on it. Limitation of this study was the
foremost research limitation is on the subject of the industry perspective.
Study of HRIS in any of the sector, as human resources is assets of the
organizations irrespective of the sector. The research study was restricted to
those respondents who wish to be interviewed. The static nature of the study
other limitation is that the questionnaire survey may endure with the reaction
bias.The Research published by Amity Business School, AUR in the January
2013 in their journal name INDIAN JOURNAL OF APPLIED RESEARCHwith
the Title Resistance to Human Resource Information Systems (HRIS) –
Problem Recognition, Diagnosis and Positive Intervention : A Study on
Employee Behaviour and Change Management (Devadesh Sharma ).This
research explores and the study examines, how HRIS technology could be
implemented effectively in the organizations with very less or no resistance to
change. BPO employee were taken as the study population ,from which unit
of analysis selected to give the response on the question asked on resistance
to HRIS , the Questionnaire was sent 150 employees. The method of
Sampling used was Random sampling .The survey was conducted in the
company where the HRIS was introduced.In this research primary data was
collected by preparing a descriptive questionnaire. Data analysis was
conducted using Chi Square Analysis where it was founded that the Null
hypotheses was rejected @ α=0.95 in all the cases hence the research data
35
was found to be significant. The finding were proposed as The resistance to
HRIS introduction needs to be recognized diagnosed to the very root level
and then with a very careful and positive intervention the change needs to be
introduced by the line managers or the change leaders. Take action to quickly
remove barriers (human or otherwise). Proper training to be induced to
facilitate acceptance towards changing system and environment. Skilled
change inspectors. Psychological expert help and managerial communication
are required before inducing change of a magnitude of affecting the whole
system. The research paper Titled Use of HRIS in Recruitment Process.
(Fernández-Sánchez, de Juana-Espinosa) Published by European and
Mediterranean Conference on Information Systems in the Year 2006.Their
Objective of the research was to study the use of HRIS as a tool for assisting
hiring decisions where 3000 Firms with more than 200 employees – Spain as
a study population which gave 334 valid answers (11, 1%).Random sampling
method was used as a Sampling technique. Descriptive data were used to
perform Data Collection which was carried a nation-wide to perform empirical
research .The T test, used to determine the inference of the observations chi-
square method. The Business HRIS is in a developing and retrieval. Large
percentages of firms rely on these systems for at least one the stages of the
recruitment process HRIS add competitive value to the firm as a whole and to
the HRM department specifically. Another research paper Titled Human
resource information systems: a review and empirical analysis (E.W.T. Ngai
and F.K.T. Wat) which was published in the year 2004. The objective of this
research is to present a comprehensive literature review of human resource
36
information systems (HRIS) and to report the results of a survey on the
implementation of HRIS in Hong Kong. The study population taken as the
HRIS users in Hong Kong. A sample of 500 company addresses was
randomly drawn from the 250 public companies quoted in the Hong Kong
Stock Exchange and 250 other selected companies listed in the Business
Directory of Hong Kong (2000). Sampling Technique used was Cluster
sampling technique .A structured questionnaire was designed, pre-tested,
modified, and used to capture data on a cross-section of HRIS users in Hong
Kong. The questionnaire was pilot-tested by practicing HRIS consultants and
by HR and MIS managers. Modification of questionnaire based on the
feedback from the pilot-test, and a final questionnaire was developed and
mailed to companies in Hong Kong. ANOVA test was conducted to compare
the means of the respondents‘ perceived benefits and barriers to the
implementation of HRIS and determine if there were any significant
differences among small, medium, and large companies. Most Hong Kong
industries perceived that the greatest benefits to the implementation of HRIS
were the quick response and access to information that it brought, and the
greatest barrier was insufficient financial support. Moreover, there was a
statistically significant difference between HRIS adopters and non-adopters,
and between small, medium, and large companies, regarding some potential
benefits and barriers to the implementation of HRIS. The research paper titled
the Relationship between Human Resource Information System (HRIS)
Functions and Human Resource Management (HRM) Functionalities (Bader
Yousef Obeidat) was published in the Journal of Management Research in
37
the year 2012.The objective of the Research paper was to study Human
Resource Information System (HRIS) functions and Human Resource
Management (HRM) functionalities. The population of the study consisted of
all commercial banks trading in the Jordanian banking sector with a total
number of fifteen banks, the population was limited to HR departments in
each bank‘s headquarter in the capital of Jordan . Only 123 questionnaires
were returned from these five banks with a response rate of 61.5%. Quota
sampling method was used as a Sampling technique.In order to address the
research objective, data was gathered using a structured questionnaire, which
enabled the hypotheses testing. Fifty six questions were included in this
questionnaire. In order to examine the research hypotheses, the data was
collected through the questionnaire, distributed to the HR professionals in five
banks in Jordan were analyzed using Statistical Package for Social Sciences
(SPSS) version 17. It was found that performance development, knowledge
management, and records and compliance as dimensions of human
resources information systems have a relationship with human resources
functionalities, accordingly, an effect over them. The results of this study were
derived from the data collected in only five banks out of fifteen Jordanian
banks. This was because of the fact that most of the banks refused to give
access to the researcher to collect data which is considered to be a limitation
of this study. The Research Paper The role of human resource information
systems in human resource planning in private sector organizations (udani
chathurika wickramaratna)in the year 2009 .The research was conducted
because the problem was known in SLT , the problem was ; Chief Officer HR
38
of SLT said that SLT initially used HRIS for administrative activities such as
salary calculations and attendance recordings successfully. According to him,
they did not use HRIS as a management tool, which contributes to HR
planning and planning related activities such as recruitment, selection,
succession planning, training, and development. The Objective of the study
was To explore the contribution of HRIS recruiting subsystem to workforce
planning of an organization. To investigate the contribution of HRIS training
and development subsystem to workforce planning of an organization. To
identify the overall contribution of HRIS in HR planning through HRIS
recruiting and training and development subsystems of an organization. Few
IT Companies were selected as the population where the Unit of Analysis HR
executives, HR Head were selected – 150 corrects answers were selected.
Stratified random sampling is used to select senior HR executives who use
HRIS to extract information to assist the top management based on the
organisation type: financial, manufacturing, and service.Data Collection was
done through Semi-structured interviews - Three semi-structured interviews
were conducted with the Heads of HR of selected organizations.
Questionnaire -Questionnaire, designed using the likert scale method was e-
mailed to the senior HR executives who deals daily with HRIS to get their
views. SPSS (Statistical Package for Social Sciences) version 16 was used to
analyse the data set. Bar charts are used wherever possible.
Research findings clearly showed that senior HR executives are well aware
that they can increase the efficiency of HR planning through HRIS, saving
39
time and cost. However, findings do not support the premise that HRIS
increases the efficiency of HR planning other than in functional work such as
job analysis. Organisations should identify the strategic value and competitive
advantage that they can gain through HRIS in HR planning. Few limitations
were founded such as HRIS user population is small since most organisations
cannot afford it. Especially small organisations cannot use integrated HRIS
with ERP within an affordable cost. Corporate planning consists not only of
human resource planning but also of marketing, financial and production
planning as well. For this research study, only the HR planning aspect is
taken in to consideration since HRIS mainly involve HR functions and
research has to be carried out within a limited time. Human Resource
Outsourcing - SURVEY REPORT published by A study by the Society for
Human Resource Management ;Year of Publication: July 2004.The Human
Resource Outsourcing Survey conducted to better understand the impact of
human resource outsourcing on today‘s organizations. The sample of HR
professionals selected from SHRM‘s membership database, which included
approximately 180,000 individual members at the time the survey was
conducted. Only members who had not participated in an SHRM survey or
poll in the last six months were included in the sampling frame. 1,619 e-mails
were successfully delivered to respondents, and 298 HR professionals
responded, yielding a response rate of 18%.Random sampling method was
used as the sampling technique. Survey study was conducted which founded
that More than one-half of HR professionals indicated that their organizations
partially outsourced an HR function and fewer outsourced completely.
40
Administration of health care benefits, pension benefits and payroll were
functions most commonly cited as partially outsourced. Only 2% of HR
professionals predicted that their organizations would outsource their entire
HR department within five years. Some of the most frequently named drivers
for outsourcing were reducing operating costs and controlling for legal risk by
improving compliance.HR outsourcing, in the form of moving one or more HR
functions from in-house to an outside provider, is a practice used by almost
six out of 10 organizations. One-third of organizations do not currently
outsource any HR functions, and only a few plans to outsource in the next
three years. Several limitation was founded while performing the survey such
as Of the 70% that did experience challenges, 37% indicated that lack of face-
to face contact with employees was the downside of outsourcing.HR
professionals from large-staff-sized organizations were much more likely than
those from small organizations to report that outsourcing had led to a lack of
face-to-face contact with employees and a loss of in-house expertise. About
one-half of small organizations (52%) reported that they had not yet realized
any downsides to outsourcing, compared with only 17% of large
organizations. It is not clear, whether small organizations are better able to
buffer the unfavourable experiences of outsourcing or if they simply realize
them later than large organizations.
41
Title of the Report: People and technology Is HR getting the best out of
IT.
Report: Survey report
Publisher: Chartered Institute of Personnel and Development (CIPD)
Year of Publication: June 2004
Introduction
Significant changes are to the role of HR professionals and the ways in which
they work. HRIS are a key part of that transformation, helping to improve the
efficiency of HR administration and enabling a greater focus on making a
strategic contribution to the organisation. However, much debate surrounds
these changes in areas such as the introduction of HR service and call
centres, and the outsourcing and off shoring of activities
Universe/Study Population:
5,000 HR professionals (one per organisation from a sample of the public,
voluntary and private sectors, stratified by size and sector) were surveyed
using a paper questionnaire. The survey was later augmented by a series of
telephone interviews with a small sub-sample of the questionnaire
respondents.
Unit of Analysis:
488 replies (9.8%) were received. Of these:
• Twenty-nine per cent were from smaller organisations (< 250 staff), 46%
were medium sized organisations (251–1,500) and 24% were from large
organisations (>1,500).
42
• Thirty-one per cent were public sector, 27% private sector (manufacturing
and production), 32% private sector (service), and 9% voluntary sector
organisations.
Data Collection: The survey data and telephone interviews
DATA ANALYSIS:
Objectives for introducing HRIS
Table 1: Objectives for introducing HRIS; Source CIPD Report.
Objective %
Improve the quality of information available 88
Improve the speed at which information is available to the organization 83
Reduce the administrative burden on the HR department 80
Improve flexibility of information to support business planning 60
Improve services to employees 45
Improve productivity 28
Reduce operational costs 24
Manage people's working time more effectively 18
Enable employees to access HR information 15
Improve profitability 08
Other reasons 06
Reduce head count 05
Gain preferred bidder status for external customers >1
No key reasons >1
43
Table 2: End users of the HRIS once it was installed; Source CIPD Report.
The most frequent reasons given for introducing an HRIS are to improve the
speed and quality of information, and to reduce the administrative burden on
the HR department.
Who uses the system once it is installed? According to the Chartered Institute of Personnel and Development (CIPD)
Survey Report in the year June 2004 on People and technology Is HR getting
the best out of IT?
%
HR department 99
Other individuals (often specified as Finance) 56
Line managers (non-HR) 50
Employees 29
44
Organisations where this function is part of HRIS
Absence management 90
Training and development 83
Reward 72
Recruitment and selection 63
Managing diversity 63
Appraisal/performance management 61
HR planning 47
Other* 37
Knowledge management 32
HR strategy 28
Expenses 20
Communication 19
Table 3: Organisations where this function is part of HRIS; Source CIPD Report.
REPORTING/ KEY FINDINGS ON INTRODUCING HRIS
Suggest some steps that organisations can take to improve the effectiveness
of their implementation, and use, of HRIS. CIPD recommend the following
points:
Draw up a list of things your new system must be capable of doing, what is
of secondary importance, and what you might like it to do, so you can be
really clear what you want from your system, where you can compromise, and
where you should not.
45
Appoint a dedicated project manager with the authority, training and
resources to see the job through.
Ask similar organisations what systems they have, and what their
experiences of them have been, both positive and negative.
Use it as an opportunity to expand the system to integrate more functions so
that more people find it valuable.
Sell the new system to other department heads that may have to lose their
current ‗pet‘ system in favour of one that allows for more cross-organisational
integration. Work with them at the design and development stages to increase
utility and cut out duplication of effort and records.
Conduct a pilot before full implementation.
Form a user-group committee with as wide a range of stakeholders as
possible, including an IT specialist if you have one.
Design a framework for evaluation at the design stage and fully evaluate the
effect of the new system once installed.
46
CHAPTER 3
Objective of Study
47
Chapter 3
Objective of Study
3.1 Research problem
Macleod‘s Pharmaceutical Ltd initially used HRIS for administrative
activities such as salary calculations and attendance recordings
successfully. They did not use HRIS as a management tool, which
contributes to HR planning and planning related activities such as
recruitment, selection, succession planning, training, and development.
HRIS does not play a significant role in Macleod‘s Pharmaceutical HR
planning department to manage their employees fairly, equally and
transparently.
How does HRIS contribute to HR planning? Do the available HRIS
functionalities adequately support organisational HR planning efficiency
and effectiveness? This dissection is to investigate the contribution of
HRIS to human resources planning through forecasting supply of human
resource , training and development subsystems to reveal the strength of
HRIS as a management information system and as a decision support
system as against a mere transaction processing system. This study
would guide future HRIS users to make optimum use of HRIS
functionalities in HR planning rather than employing it only for
administrative works.
48
This study would determine the contribution of this to human resources
planning by developing a conceptual framework and testing it using
hypotheses.
Due to the self-service agenda in HRIS there is lack of communication
between the employees and HR manager, this has created isolation area
in the organisation.
3.2 Research Question
1) How effective and efficiently does the HRIS recruiting application in the
organisational planning.
2) How effective and efficiently does the Human Resource Planning HRIS
recruiting application in the organisational planning.
3) How effective and efficiently is the use of HRIS Corporate
Communication application in the organisational.
3.3 Study framework
A study framework developed to hypotheses a logical understanding of the
relationships between the factors that were vital to the problem.
Conceptual framework (Figure 11) The 3 sub systems of HRD: HRIS
recruitment, HRIS Human Resource Planning and HRIS Corporate
Communication. HRIS recruiting subsystem represents the functionalities of
HRIS job analysis and inventory control. HRIS labour Forecasting and
Succession planning contributed by HRP system. HR – Employee relation
49
and Employee – Management relation represent Corporate Communication
Application.
Figure 1: Schematic diagram for the Study framework
Source: Author
3.5Objective of study
1) To study the Effectiveness of HRIS Recruitment application in the
organisation.
2) To explore the contribution of Human Resource Information System in
Human Resource Planning.
3) To study the use of Human Resource Information System in corporate
communication.
HUMAN
RESOURCE
INFORMATION
SYSTEM
EMPLOYEE – HR
RELATION
FORECASTEING
DEMAND &
SUPPLY
SUCESSION
PLANNING
JOB ANALYSIS
INVENTORY
RECURITMENT
CORPORATE
COMMUNICATION
HRP
50
3.6 Hypothesis
Null and Alternative hypotheses developed as follows for the research study:
1. Use of HRIS job analysis process in an organisation improves the
efficiency and effectiveness of HR planning.
H01: Higher utilisation of HRIS job analysis process in an organisation does
not improve the efficiency and effectiveness of HR planning.
H11: Higher utilisation of HRIS job analysis process in an organisation
improves the efficiency and effectiveness of HR planning.
2. The greater utilisation of HRIS Forecasting Demand and Supply
analysis in an organisation increases the efficiency and effectiveness of
HR planning.
H02: The greater utilisation of HRIS Forecasting Demand and Supply analysis
in an organisation does not increase the efficiency and effectiveness of HR
planning.
H12: The greater utilisation of HRIS Forecasting Demand and Supply analysis
in an organisation increases the efficiency and effectiveness of HR planning.
51
3. Succession planning of HRIS increases the efficiency and
effectiveness of HR planning of an organisation.
H03: Succession planning of HRIS does not increase the efficiency and
effectiveness of HR planning of an organisation.
H13: Succession planning of HRIS increases the efficiency and effectiveness
of HR planning of an organisation.
4. HRIS implementation is a factor for effective communication in the
organisation
H04: HRIS implementation is not a factor for effective communication in the
organisation
H14: HRIS implementation is a factor for effective communication in the
organisation
52
CHAPTER 4
Research Methodology
53
Chapter 4 Research Methodology
4.1 Research Design
Exploratory research or formulative research
The objective of exploratory research is to gather preliminary information that
will help define problems and suggest hypotheses.
4.1 a) Research strategy
Research strategies developed to plan and answer the research questions.
After having considered several research strategies, case study adopted for to
carry out the research. This research study was an academic research, which
completed with limited available resources: both time and money. Sampling
method used is quota sampling, which was divided into 3 subset viz HRD, IT
specialist coordinating HRIS and Employees using HRIS. Data collected
through the questionnaire provided standard data allowing easy comparison.
Therefore, survey was the most suitable strategy for this research. To test the
likelihood that the characteristics of the sample founded in the population a
statistical method has been used Data gathered from questionnaire was used
to find dependant and independent variables in the relationships and the
validity of the relationships of proposed conceptual framework.
54
4.2 Type of investigation
The t-test compares the actual difference between two means in relation to
the variation in the data (expressed as the standard deviation of the difference
between the means).
4.3 Time horizon
Cross sectional
Studies are one-shot or cross sectional when data gathered just once,
perhaps over a period of days or week or months, in order to answer a
research question (Sekaran, 2003). Researcher generated facts from the HR
and the employees through field visits to Macleod‘s pharmaceutical Ltd. HRIS
through questionnaire, which was designed base on many variables.
Hypotheses generated for future research. Therefore, cross-sectional study
was selected as time horizon.
4.4Target population
Population
HRIS user population is restricted to large-scale organisations due to
implementation and maintaining cost, lack of knowledge, technical problems,
etc. The number of employees used to decide whether the organisation is
large or small. If the employees are more than 100, it is consider as large
organisation. Macleod‘s pharmaceutical have around 765 employees which
was taken as target population
55
4.5 Sampling methods
Probability sample- Stratified random
Quota sampling used to select senior HR executives and the employees who
use HRIS in Macleod‘s pharmaceutical. Strata were divided into HR
executives, IT officers, and the employees.
Distribution of sample (valid) among the department
Department No of employees
Human Resouce Department 25
IT specialist handling HRIS 20
Employees using HRIS 55
Total 100
Table 4- Shows the sample collected at Macleod‘s pharmaceuticals
4.6 Data collection methods and procedures
Questionnaire
Questionnaire, designed using the likert scale method was e-mailed to the
senior HR executives and the employees of the organisation who deals daily
with HRIS to get their views. Questionnaire consisted of scale questions to
collect opinions. Five point Likert-style rating scale (1: strongly disagree, 2:
disagree, 3: neither agrees nor disagrees, 4: agree, 5: strongly agree) was
used when designing the questionnaire.
56
Questionnaire structure
The questionnaire was based on three main sections; namely HRIS role in
Human Resource Planning – Forecasting demand and supply, HRIS role in
Recruitment - Job Analysis and Communication - HR distance and isolation
from the employees.
Organisational annual reports
Annual reports were used to cross-reference the number of employees,
annual profit etc.
Internet / web sites
HRIS vendor‘s web sites used to find out the correct HRIS users, HRIS
features, and cost. Wikis and blogs used for user comments and technical
problems regarding HRIS.
Journal articles and references
Journal articles and references used to find out information on previous
research work relevant to IS, HRM, HR planning and HRIS.Survey reports by
CIPD were also used for reference.
4.7 Data analysis
Data analysis techniques
Based on the data collected at Macleod‘s pharmaceutical ltd, percentage
frequency in frequency distribution, median and mode through measure of
central tendency used to analyse data. t- Test is used to compares the actual
57
difference between two means in relation to the variation in the data
(expressed as the standard deviation of the difference between the means).
Data analysis tool
Minitab is a statistics package, Minitab 17 used to analyse the data set.
4.8 Variables
A study framework used to develop the hypothesis and from the hypothesis, a
working model formed as follows to test the above hypotheses and measure
the relationship between variables.
RECURITMENT
HRP
CORPORATE COMMUNICATION
Figure 2: Variables in the study framework; Source: Author
H1
H2
H3
H4
Employee – HR Communication
HR SUCESSION PLANNING
HR FORECASTING
HRIS JOB ANALYSIS
HR
PLANNI
NG
EFFECTI
VENESS
58
4.9 Breakdown of variables
Table 5 Variable breaks down based on the variable types: independent,
mediate and dependant.
4.10 Independents Variable
HRIS role identified from three sub systems: HRIS recruiting subsystem,
HRIS Human Resource Planning subsystem and HRIS Communication. From
these three sub systems, mediate variables identified considering available
HRIS features. All the variables measured using a five point Likert scale
ranging from strongly disagree (1) to strongly agree (5).
Independent Variable
Mediate Variables Dependent Variable
HRIS Role
HRIS Job Analysis
HR PLANNING EFFECTIVENESS
HR PLANNING EFFICIENCY
HRIS labor demand and supply analysis
Employee- HR
Communication
59
4.11 Dependant Variable
HR PLANNING EFFICIENCY
According to Hendrickson (2003), increased efficiency is an HRIS benefit.
Both Time and cost efficiency addressed with the ability to do more
transactions with fewer fixed resources. This can specifically seen in areas
such as payroll and benefits.
HR PLANNING EFFECTIVENESS
In terms of accuracy, the HRIS helps in transactions. Additionally, the
technology used to simplify processes (Hendrickson, 2003). Some information
is only available through technology. Many types of computer-based training,
Internet access to the recruitment world and the use of certain programs to
assess employees in the hiring process are only available for those with
technology-rich environments.
4.12 Measurement of Variables
The following variables and the sub variables (Table 6) were measured as
given below. Dependent, mediate and independent variables were included.
60
Table 6: Measurement scales for variables
Variables were classified according to whether they have more or less of a
characteristic; the scale used is referred to as an ordinal scale (definition of
ordinal scale). The main characteristic of the ordinal scale is that the
categories have a logical or ordered relationship to each other. These types of
scale permit the measurement of degrees of difference, but not the specific
amount of difference.
Ind
ep
en
den
t
Vari
ab
le
Me
as
ure
me
nt
Me
dia
te
Va
ria
ble
s
Me
as
ure
me
nt
De
pe
nd
en
t
Va
ria
ble
Me
as
ure
me
nt
HRIS Role
Ordinal Scale
HRIS Job Analysis
Ordinal Scale
HR PLANNING EFFECTIVENESS
Ordinal Scale
HRIS labor
demand and supply analysis
Ordinal Scale
HR PLANNING EFFICIENCY
Ordinal Scale
Employee- HR communication
Ordinal Scale
61
5.18 Data collection methods
Table 6.1 shows data requirements and relevant data collection methods
according to the research questions. The data requirement table was further
elaborated into three sets of table as given below.
Table 6.1 shows data requirements and relevant data collection methods
Research questions
Data
requirements
Data collection
methods
Qu
esti
on
nair
e
Lit
era
ture
Revie
w
1) HRIS Recruitment
process in an
organisation effective in
improving the Strategic
HR planning
Efficiency and Effectiveness of Job Analysis of HRIS
X
X
2) How effective HRIS is as
strategic planner in
forecasting demand and
supply.
HRIS help to design career/succession plans Strategic planner in forecasting demand and supply.
X
X
62
3) Does HRIS
implementation is the
factor for HR distance
and Isolation from the
employee.
Employee – HR relation Maintenance
X
63
Table 7: Data requirement table 1
Research Objective Type of Investigation
HRIS Recruitment application in an organisation effective. Exploratory Research
Variable - Job Analysis
Hypotheses (1)
1. Use of HRIS job analysis process in an organisation improves the efficiency and effectiveness of HR planning.
H01: Higher utilisation of HRIS job analysis process in an organisation
does not improve the efficiency and effectiveness of HR planning.
H11: Higher utilisation of HRIS job analysis process in an organisation
improves the efficiency and effectiveness of HR planning.
Investigate questions Variable(s) required
1) HRIS identifies unfilled positions accurately.
Employee Opinion on HRIS vacancy definition
2) HRIS help to reduce recruiting costs
Opinion of HRIS cost reducing ability
3) HRIS evaluates the recruiting processes effectively.
Opinion of HRIS ability in Recruitment process
4) HRIS performs comprehensive reporting and tracking of applicants efficiently.
Opinion of Applicants Tracking and reporting
5) HRIS analyses each job position and its job title in an organisation.
HRIS ability to analyze Job position and job title
6) HRIS leverages employee‗s talent in the right place at the right time.
HRIS ability to put employee at right place at right time
7) HRIS maintains relationship with individuals who register in a talent warehouse.
Behavior of candidate using HRIS
8) HRIS eliminates unsuitable applicants early and focuses on promising candidates.
Short listing of candidate
9) HRIS create ideal job description and job specification
Opinion on Job description and job Specification
10 ) Organisation uses HRIS recruitment subsystem at an optimum level
Opinion on use to HRIS at optimum
64
The above table is the summary of the data of the research question, which
were undertaken through exploratory research where the variable under study
was job analysis. To study the hypothesis I, 10 questions were study, which
are given as the investigation question and from the investigation question
variable required are framed variable analysed will help us to test the
hypotheses.
65
Research Objective Type of
Investigation
To explore the contribution of Human Resource
Information System in Human Resource
Planning.
To investigate the HRIS as strategic planner in
forecasting demand and supply.
Exploratory Research
Mediate variable – Succession Planning & Forecasting demand and supply
Hypotheses ( 2 and 3)
2) The greater utilisation of HRIS Forecasting Demand and Supply
analysis in an organisation increases the efficiency and
effectiveness of HR planning.
H02: The greater utilisation of HRIS Forecasting Demand and Supply analysis in an organisation does not increase the efficiency and effectiveness of HR planning. H12: The greater utilisation of HRIS Forecasting Demand and Supply
analysis in an organisation increases the efficiency and effectiveness of
HR planning.
3) Succession planning of HRIS increases the efficiency and
effectiveness of HR planning of an organisation.
H03: Succession planning of HRIS does not increase the efficiency and
effectiveness of HR planning of an organisation.
H13: Succession planning of HRIS increases the efficiency and
effectiveness of HR planning of an organisation.
Investigate questions Variable(s) required
1. HRIS forecasts supply of human resources. Opinion of HRIS ability to analyse supply
66
Table 8 - Data requirement table 2
The above table is the summary of the data requirement for the current
research question, which were undertaken through exploratory research
where the variable under study was job analysis. To study the hypothesis 2,
10 questions were study, which are given as the investigation question and
2. HRIS constantly analyses and matches the
demand for human resources. Opinion of HRIS ability to analyse demand
3. HRIS manages internal information within
the organisation.
Opinion of HRIS ability in Internal data management process
4. HRIS manages external information outside
the organisation. Opinion of HRIS ability in External data management process
5. HRIS estimates future human resources
requirement of the organisation. HRIS ability to analyze Forecasting
6. HRIS identifies a logical progression path
and the steps required for advancements.
Opinion of HRIS on Career planning
7. Future supply and demand of labour is
forecasted using What-If analysis function of
HRIS.
Opinion of HRIS succession ability
8. Role of HRIS aligns with the organisation‗s
HR Strategy. Opinion on organization goal achievement
9. HRIS ensures organisation has right kind and
numbers of employees at right place at right
time.
Opinion on employee placement
10. Through HRIS, the Accuracy of planning has
improved
Opinion of HRIS strategic partner role
67
from the investigation question variable required are framed, variable
analysed will help us to test the hypotheses.
Research Objective Type of Investigation
To study the perceptions of employees
toward HR distance and isolation for the
dimension of internal corporate
communication that constitutes HRIS.
Exploratory Research
Mediate variable - Employee- HR Communication
Hypotheses (4)
HRIS implementation is the factor for effective communication in
the organisation.
H04: HRIS implementation is not the factor for effective communication
in the organisation.
H14: HRIS implementation is the factor for effective communication in
the organisation.
Investigate questions Variable(s) required
1. HRIS create environment of open
communication between employees and
management?
Employee Opinion on open communication
2. HRIS perceive the effectiveness and
integrity of current communication culture Opinion of communication culture
3. Employee submit feedback and
suggested improvements to the HRIS Employee opinion feedback
4. Automated leave management system
help in smooth function of leave
management
HRIS ability to perform leave management – self service
5. HRIS salary management system help in
smooth function of payroll management HRIS ability to perform payroll management
6. Salary slips generated from the HRIS of
individual employee. Self – service by the employee
7. Experience letter and personal data can Opinion towards self
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Table 9 - Data requirement table 3
The above table is the summary of the data requirement for the current
research question, which was undertaken through exploratory research where
the variable under study was job analysis. To study the hypothesis 3 and 4,
10 questions were study, which are given as the investigation question and
from the investigation question variable required are framed, variable
analysed will help us to test the hypotheses.
be generated from HRIS service
8. HRIS give the chance of creating social
network in the organisation Opinion on organization culture
9. System being self- service there has
been very few interaction between HR and
the Employee
Opinion on HR – Employee isolation area
10. HRIS make employee aware of the
new joined , Retirement , birthday that
create friendly environment Opinion on organization culture
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5.18 Multi-item indicators of independent variables
The independent variables identified in the research model measured using
multi-item indicators
Table 10: Multi-item indicators of independent variables
Variables Items Description
HRIS Labour Demand Analysis (LD)
LD1 HRIS manages internal information within the organisation.
LD2 HRIS manages external information outside the organisation.
LD3
HRIS constantly analyses and matches the demand for human resources.
HRIS Labour Supply Analysis (LS)
LS1 HRIS forecasts supply of human resources.
LS2
HRIS estimates future human resources requirement of the organisation.
LS3
HRIS ensures organisation has right kind and numbers of employees at right place at right time.( EMPLOYEE PLACEMENT )
HRIS Succession Planning ( SP)
SP1 HRIS identifies a logical progression path and the steps required for advancements.
SP2
Future supply and demand of labor can be forecast using What-If analysis function of HRIS.
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Multi-item indicators of independent variables continue
HRIS Job Analysis (JA)
JA1 Identification of unfilled positions accurately.
JA2
HRIS analyses each job description and its job specification
JA3
HRIS evaluates the recruiting
processes effectively.
HRIS E-recruiting (ER)
ER1
HRIS leverages employee‗s talent in
the right place at the right time.
ER2
HRIS help to reduce recruiting costs
ER3
HRIS eliminates unsuitable applicants early and focus on promising candidates.
HRIS Corporate Communication ( CO)
CO 1
HRIS create self service in the organisation
CO2 HRIS create platform for Open Communication
CO3
HRIS perceive the effectiveness and integrity of current communication culture
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CHAPTER 5
CONCEPTS AND THEORY
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Chapter4
Concepts and Theory
5.1 HRIS Definition
HRIS, the abbreviation for Human Resources Information System, is a system
that lets you keep track of all your employees and information about them. It is
usually done in a database or, more often, in a series of inter-related
databases.
Human resource information (HRIS) is a system that help an organization
acquire, store, manipulate, analyses, retrieve, and distribute information about
an organization‘s human resources (Tannenbaum, 1990)
Human Resource Information Systems (HRIS) is a process that utilizes the
information technology for the effective management of human resource
functions and applications.
It is a computerized system typically comprising a data base or inter related
data base that track employees and their employment specific information
(Gill and Johnson, 2010).
It can be briefly defined as integrated systems used to gather, store and
analyze information regarding an organizations human resources
(Hendrickson 2003). An HRIS can perform a number of functions from the
simple storage and communication of information, to more complex
transactions. As technology advances, the range of functions that an HRIS
can undertake increases. Actually HRIS is directed towards the HR
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department itself (Ruel, Bondarouk & Looise, 2004), but the use of HRIS can
provide a number of benefits not only to the HR function, but also line
managers, and the wider organization (Parry, 2009).
5.2 Historical evolution of HR and HRIS
History of HRIS – Early (Pre-WWII)
Early HR (then called personnel) practices were limited to employee record
keeping and were provided as a service to the organization. There was no
HRIS as we know it today. Personnel record keeping was done by hand, often
using a system as simple as an index card file. The personnel department
was typically small, with little authority and limited interaction with the
organization‘s business mission (Hendrickson, 2003).
History of HRIS – Between 1945 and 1960
After WWII, organizations became more aware of human resource issues,
recognizing the importance of employee morale to the success of
organizations. Formal selection and development processes were developed
but there was little real change from the original responsibility of the personnel
department—that of record keeping. Record keeping was still done by hand,
and pre-1960, HR information systems hardly gave a hint of what they would
become with the advent of workplace technology (Hendrickson, 2003).
History of HRIS – Early (1960 to 1980)
In the late 1960s and 1970s, the term ―human resource management‖
replaced ―personnel,‖ and by 1974, the new term, human resource
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management, appeared in media headlines and was eventually shortened to
just HR. Between 1960 and 1980, organizations firmly integrated HR into their
core business missions. At the same time, employer regulatory reporting
requirements increased significantly. Large organizations used mainframe
computers to maintain organization databases, and technology-based human
resource information systems (HRIS) provided an efficient solution for the
increased record keeping and reporting required by government regulation.
The HR department became one of the most important users of the
organization‘s computer systems, though the primary task was still record
keeping (Hendrickson, 2003).
ROLE OF HRM
Early 20th century 21st century
Caretaker Strategic planner
Employee Focus Cost Effectiveness
Record Employee Development
Figure3: HISTORICAL EVOLUTION HRM
Source: Hendrickson, 2003
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5.2a. Components of an HRIS
Kovach et al., (1999) presented the three major functional components in any HRIS by giving the model below:
Figure 4: Functional components in any HRIS
Source: Kovach et al
The Input function enters personnel information into the HRIS. Data entry in
the past had been one way, but today, scanning technology permits scanning
and storage of actual image off an original document, including signatures
and handwritten notes. The maintenance function updates and adds new data
to the database after data have been entered into the information system.
Moreover, the most visible function of an HRIS is the output generated.
According to Kovach et al., (1999), to generate valuable output for computer
users, the HRIS have to process that output, make the necessary
calculations, and then format the presentation in a way that could be
understood. However, the note of caution is that, while it is easy to think of HR
information systems in terms of the hardware and software packages used to
implement them and to measure them by the number of workstations,
applications or users who log onto the system, the most important elements of
HRIS are not the computers, rather, the information. The bottom line of any
Input Data Maintenance Output
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comprehensive HRIS have to be the information validity, reliability and utility
first and the automation of the process second.
5.3 Types of HRIS
Fig 5: Type of HRIS Source: Author Operational HRIS
Operational HRIS Provides data to support routine and repetitive human
resource decisions. Information is detailed, structured, accurate and internal.
Examples of Operational HRIS:
Performance Management Information Systems
Applicant Selection and Placement Information Systems
Employee information system
OPERATIONAL HRIS
TACTICAL HRIS
STRATEGIC HRIS
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Tactical HRIS
Supports management decisions emphasizing allocation of human resources.
Within the human resource management area, these decisions include
recruitment decisions; job analysis and design decisions, training and
development decisions, and employee compensation plan decisions.
Examples of Tactical HRIS:
Job Analysis and Design Information Systems
Recruiting information system
Employee training system
Compensation and benefits information system
Strategic HRIS
Strategic HRIS Help top level managers to set goals and directions for
organisation.Gather and manage information from within and outside
organization.
Examples of Strategic HRIS:
Information system supporting Workspace planning
Specialized Human Resource Information Systems Software
5.4 APPLICATION OF HRIS
Payroll – This is the most common feature of any HRIS, and included in any
of them. A variety of payroll systems exist in an HRIS including some that are
fully automated and synced with external time clocks and others that allow
each employee to enter their time into the system for managerial approval.
When looking for an HRIS be sure that the payroll feature it includes is fully
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functional and includes the ability to review payroll information quickly as well
as any other additional features your specific HRIS needs may call for.
Benefits Administration – Some figures state that an HR employee could
spend as much as forty percent of their time managing employee benefits. A
great HRIS can eliminate the majority of this time completely. Many HRIS
programs will even allow each employee to manage their own benefits,
adding a spouse to their insurance or checking the total of their FSA when
they want without having to bother HR at all. If you offer employee benefits
you shouldn't invest in an HRIS that doesn't provide you with benefits
administration options, and taking it a step further and investing in an HRIS
that allows employee self-service will help your company even more.
Training Systems – With the extra time an HRIS will give your HR
department, they'll likely be able to devote more time and energy
into developing training strategies to improve your workforce. An HRIS with
a training system will allow your HR department to track and manage all
aspects of employee training and is a great feature to have in any HRIS.
Recruiting – Your HRIS will also allow your HR department more time to
focus on their recruitment efforts. New hires are valuable, but the recruitment
process can be complex. A good HRIS will provide many different features
designed to help your HR department manage each step of the recruitment
phase with ease. It's a vital component to any HRIS, and one that can really
improve your overall ROI on employees.
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HR Metrics – The best HRIS will give you the chance to review a wealth of
data about your company and your employees. This feature gives you the
ability to see where your company thrives and where it struggles and lets you
develop new strategies for improving your company.
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Fig 6: Application of HRIS; Source: Author
Recruiting
Benefits Open Enrollment
Attendance
Training
Time Collection
Succession Management
Position Control
•Outsourced Tax Filling
• Outsourced Check Printing
Payroll
Multi Language
Multi Currency
Employee Self Service
Email Alerts
•Employee Vacation Leave Request with Manager Approval
•Pay History, Print Advices, etc
•Work Flow Management
• Multi – Level User Defined Approval Levels
• Manager Self Service
• Have Managers approve Employee Time Sheets
•Life Events
Employee Self Service
•Online Review Form for Management and Work Flow and Manager Approval levels
• 360 Reviews
• Competency Based Employment Development Plans
Performance Management and Compensation
•Ability to Post Requisitions on Major Job Boards
•Screening Questions
• Testing and Results
• Applicant Self Service
Training Management
•Ability to log time online
•Need for a rules based physical time keeping system
•Time Entry and Leave Accrual Sub Questions
Time Entry & Leave Accrual
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Figure 7: Model of an Organizational System Centred on HRIS
Source: Evolution of Human Resource Management and Human Resource
Information Systems - The Role of Information Technology
National culture environment
Government regulations
Labour market Societal concerns
HR Programs
Corporate culture
Planning
Recruiting and selecting
Training Performance management
Strategic Business Compensation HR programs
management plan and Quality of life and safety evaluation
system goals employee and labour HR metrics
HR scorecard
Value-added
Strategic human HR goals Human Resource
ROI
Legal compliance
resources
Retention
Information System
management
Climate/moral
Productivity
Accident rate IT knowledge
HR knowledge
Feedback Feedback
Technology HRM research Competition
MODEL OF ORGANIZATIONAL FUNCTIONING
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The use of computer technology to improve the management of employees is
centered on the creation and maintenance of an HRIS. Figure 6 depicts a
model of an organizational system centered on an HRIS. This model shows
the interrelatedness of the parts of an organization that can affect the
functioning of the organization. It indicates the interrelatedness between the
strategic management system, the strategic HRM system, and the
performance, business, and HR goals that are generated during the strategic
planning process. Note particularly how the business goals directly affect the
HR goals; this relationship should be an ongoing process in an organization,
with adjustments made to either set of goals as needed. The HR goals drive
the HR programs that provide management the tools for the efficient and
effective use of employees.
There are several aspects of this model that are critical Firstly , this is a
systems model; that is, it is organic and can change over time, as represented
by the feedback loops from goal achievement to other parts of the model.
Secondly, the model concentrates on the use of an HRIS as critical to the
efficient operation of an organization. Removing HRIS from the model, it
would still be a model of organizational functioning. However, it is our
contention that an organization operating in accordance with this model would
run more slowly and less efficiently, and this could hurt its competitiveness in
the market place. Third, the HRIS and the HR program evaluation results, in
terms of HR metrics and cost-benefit results (value added and return on
investment—ROI), are in continual interaction. This emphasis is consistent
with current thinking in the HRM field (Cascio, 2000; Fitz-enz, 2000, 2002)
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and has generated the HR workforce scorecard (Becker et al., 2001; Huselid
et al.,2005). Finally, it is important to note that the successful design,
development, and implementation of an HRIS depend equally on IT and on
HR knowledge.
Other aspects of this model are important. First, all the factors in the external
environment will influence the internal functioning of the organization. The
most important of these factors is national culture. National culture will affect
all the factors in the external environment: government regulations, the labour
market, societal concerns, technology, HRM research, and competition.
These factors, in turn, will have an impact on the organization. Second, the
two-way arrow between the strategic management system and strategic HRM
indicates our understanding that this interaction will improve the functioning of
the organization. Finally, note that corporate culture influences the entire
internal operation of the organization.
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2.4 a) Resource Flow of HRIS Model
Figure 8: Resource Flow of HRIS Model; Source: Raymond
The figure 7 shows the resource flow of HRIS model by Raymond (1995). As
you can observe through the HRIS model, it has three set of components,
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which are Input subsystem, HRIS database, and Output subsystem. In Input
subsystem, there are three main subsystems, which are data processing,
human resource research, and human resource intelligence. Some input data
might include software that can transform the data into the format that needed
and required. The second one is HRIS database, all the data and information
can be store in computer storage. The software such as Database
management system (DBMS) can help to perform the maintenance
processes. The last one is output subsystem which contain all the output
related to HR consists of workforce planning subsystem, recruiting
subsystem, workforce management system, compensation subsystem,
benefit subsystem, and environmental reporting subsystem.
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COUNTRY MAKE THE BEST USED OF THE AREAS IN THE HRIS In which of the following areas is the HR Information System used
UK SWEDEN GERMANY GREECE SLOVAKIA
Individual personnel records
98 46 33 97 95
Payroll 74 96 93 95 94
Benefits 66 72 80 80 48
Time registration and attendance
48 20 90 86 82
Recruitment and selection
66 19 39 60 35
Training and development
68 38 55 69 44
Performance M anagement
36 12 29 53 28
Career planning / Succession Planning
15 12 24 30 17
Work scheduling
11 54 28 64 40
Health and Safety
21 18 24 29 29
Table: 11: Areas is the HR Information System used in various countries.
Source: Carnet (2003)
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The table 11 show which country make the best used of the areas in the
HRIS. From the table it can be interpreted that GREECE have the best
average for the use of HRIS in all the areas mention above.
5.5 Human Resource Planning
Bulla and Scott, defined human resource planning as ‗the process for
ensuring that the human resource requirements of an organization are
identified and plans are made for satisfying those requirements‘
According to Wikstrom, Human Resource Planning consists of a series of
activities, viz.
(a) Forecasting future manpower requirements, either in terms of
mathematical projections of trends in the economic environment and
developments in industry, or in terms of judgmental estimates based upon the
specific future plans of a company(b) Making an inventory of present
manpower resources and assessing the extent to which these resources are
employed optimally (c) Anticipating manpower problems by projecting present
resources into the future and comparing them with the forecast of
requirements to determine their adequacy, both quantitatively and
qualitatively; and (d) Planning the necessary programmes of requirements,
selection, training, development, utilization, transfer, promotion, motivation
and compensation to ensure that future manpower requirements are properly
met.
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Fig 9: Human Resource Planning Source: Edwin B.Flippo, Personnel
Management McGraw Hill , Sixth edition .
RESOURCE DEMAND FORECASTING
•Long Range
•Strategic Plans
•Demographics
•The economy
•Technological trends
•Social trends
•Short range
•Production schedules
•Affirmative Action employment opportunitygoals
•Relocations
HUMAN RESOURCE ACTION
•Hiring
•Training
•Career Management
•Productivity Program
•Reduction in Force
RESOURCE SUPPLY FORECASTING
•Current Inventory
•Productivity Levels
•Turnover Rate
•Absenteesim Rate
•Movemeny among Jobs Rates
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5.6 Human Resource Forecasting HR Forecasting attempts to determine the supply and demand for various
types of human resources, and to predict areas within the organization where
there will be labor shortages or surpluses
There are three major steps to forecasting:
1. Forecasting the demand for labor
2. Determining labor supply
3. Determining labor surpluses and shortages
FORECASTING HR REQUIREMENTS (DEMAND ANALYSIS)
Trend Analysis
• Constructing and applying statistical models that predict labor demand
for the next year, given relatively objective statistics from the previous
year.
Leading Indicators
• Objective measures that accurately predict future labor demand.
FORECASTING HR AVAILABILITY (SUPPLY ANALYSIS)
Succession or Replacement Charts
• Who has been groomed/ developed and is ready for promotion right
NOW?
Human Resource Information Systems (HRIS)
• An employee database that can be searched when vacancies occur.
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Transition Matrices (Markov Analysis)
• A chart that lists job categories held in one period and shows the
proportion of employees in each of those job categories in a future
period.
• It answers two questions:
• ―Where did people in each job category go?‖
• ―Where did people now in each job category come from?
• Personnel / Yield Ratios
• How much work will it take to recruit one new accountant?
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5.7 Demand Forecasting
Demand forecasting involves predicting the number and types of people the
organization will need at some future point in time. There are two general
approaches to demand forecasting: statistical and judgmental. Using a
statistical approach, an organization predicts its needed workforce size on the
basis of certain business factors. A business factor is an attribute of the
business, such as sales volume or market share, which closely relates to the
size of the needed workforce. For example, a hospital could use the business
factor of projected patient load to predict the number of nurses it would need
at some point in time.
A statistical approach to demand forecasting typically is used when an
organization operates in a stable environment, where an appropriate business
factor can be predicted with some degree of certainty. For example, a
statistical approach may be appropriate for a hospital located in an area with
little population growth. Organizations operating in less stable environments
(e.g., a hospital in an area experiencing explosive growth and change) are
more likely to rely on a judgmental approach.
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STATISTICAL APPROACHES
The most commonly used statistical methods of demand forecasting are
trend, ratio, and regression analysis. In trend analysis, the future demand for
human resources is projected on the basis of past business trends regarding
a business factor. Ratio analysis is the process of determining future HR
demand by computing an exact ratio between the specific business factor and
the number of employees needed. It thus provides a more precise estimate
than trend analysis. For instance, the demand for professors at a university
could be forecast on the basis of the student-faculty ratio. Suppose that a
university has 10,000 students and 500 professors; the student-faculty ratio is
thus 10,000:500 or 20:1. This ratio means that for every 20 students, the
university needs 1 professor. If the university anticipates a student enrollment
increase of 1,000 for next year, it would need to hire 50 (1000/20) new
professors. This is in addition to any hiring needed to fill vacancies from
existing faculty who might leave in the meantime.
Regression analysis is similar to both trend and ratio analyses in that
forecasts are based on the relationship between a business factor and
workforce size. However, this method is more statistically sophisticated. Using
statistical software, the analyst first creates a scatter diagram depicting the
relationship between the business factor and workforce size.
The software can then calculate a regression line, which cuts right through the
center of the point on the scattered plot. (The regression line
is mathematically determined using a formula found in most statistical texts.)
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By inspecting values along the regression line, one can see how many
employees are needed at each value of the business factor. Both ratio
analysis and regression analysis are aspects of human resource management
systems (HRMS) packages, and therefore provide the business with the
capabilities to calculate more accurate and timely forecasts.
Statistical methods of demand forecasting assume that the relationship
between workforce size and the business factor remains constant over time. If
this relationship were to change unexpectedly, the forecast would become
inaccurate. For example, the forecast of needed professors based on the
student-faculty ratio would be inaccurate if the university decided to change its
teaching approach and institute distance learning classes. This approach to
teaching involves the use of video equipment, which can beam the professor's
lectures to many different locations, thus allowing many more students to
enroll in the class. Consequently, the 20:1 ratio would no longer apply; the
university would now be able to function with fewer professors (or at least
more students per professor).
JUDGMENTAL APPROACHES.
Judgmental approaches to demand forecasting involve the use of human
judgment, rather than a manipulation of numbers. Two of the most commonly
used judgmental techniques are group brainstorming and sales force
estimates. The group brainstorming technique of demand forecasting uses a
panel of experts (i.e., people within the organization who collectively
understand the market, the industry, and the technological developments
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bearing on HRM needs). These experts are asked to generate a forecast
through the process of brainstorming.
A variety of brainstorming techniques exist. Most involve a face-to-face
discussion among group members, who are asked to reach a consensus.
When using a group brainstorming technique to forecast human resources
demand, participants must make certain assumptions regarding the future.
That is, they must examine the firm's strategic plans for developing new
products or services, expanding to new markets, and so forth, and then try to
predict such things as:
Future marketplace demands for the organization's products and
services
The percentage of the market that the organization will serve
The availability and nature of new technologies that may affect the
amounts and types of products or services that can be offered
The accuracy of the forecasts depends on the correctness of these
assumptions. Of course, the future is very difficult to predict because it is
subject to many uncertainties. Therefore, the organization must
continually monitor its demand forecasts in light of any unexpected changes.
HRMS packages facilitate the calculation and monitoring of demand
forecasts.
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The use of sales force estimates represents another judgmental approach for
forecasting HR demand. This approach is most appropriately used when the
need for additional employees arises from the introduction of new products.
When a new product is launched, sales personnel are asked to estimate the
Sdemand for the product (i.e., expected sales volume) based on their
knowledge of customer needs and interests. The organization then uses this
information to estimate how many employees will be needed to meet this
demand. One drawback of this approach is the possibility of bias. Some sales
personnel may purposely underestimate product demands so they will look
good when their own sales exceed the forecasts. Others may overestimate
demand because they are overly optimistic about their sales potential.
5.8 SUPPLY FORECASTING
Once a demand forecast has been made, an organization has a relatively
good idea of the number and nature of positions it will need to carry out its
work at a particular point in time. It then estimates which of these positions will
be filled at that time by individuals who already are employed by the company.
The process used to make this estimation is called supply forecasting.
Supply forecasting is a two-step process. HRMS packages provide the
employer with the means to automate much of these two steps. In the first
step, the organization groups its positions by title, function, and responsibility
level. These groupings should reflect levels of positions across which
employees may be expected to advance. For instance, the HRM group might
include the job titles of HR assistant, HR manager, and HR director. The
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secretarial group might include secretarial clerk, principal secretary, senior
secretary, and administrative assistant.
The second step of supply forecasting is to estimate, within each job group,
how many current employees will remain in their positions during the planning
period, how many will move to another position (e.g., through transfer,
promotion, or demotion), and how many will leave the organization. These
predictions are partially based on past mobility trends (e.g., turnover and
promotion rates). The organization also should consider any plans for
mergers, acquisitions, unit or division divestitures, layoffs, retrenchments and
downsizing, and even hostile takeovers. When making its supply forecast, the
organization also should look at specific individuals. Some may have already
announced, for instance, that they are retiring at the end of the year, returning
to school in the fall, or getting married and planning on moving to a different
part of the country.
Computerized statistical packages are available to help estimate the flow of
employees through an organization. The estimates generated by these
packages can be fairly accurate in stable environments. When the
environment is unstable, of course, these estimates are suspect. For instance,
an organization may base its estimates on past turnover rates, which have
been about 10 percent during each of the past five years. If the turnover rate
were to change drastically because of factors such as job dissatisfaction or
down-sizing, the organization would severely underestimate its future staffing
needs.
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5.9 ESTIMATING FUTURE HUMAN RESOURCE NEEDS
Combining the results of the supply and demand forecasts within each job
group derives specific staffing needs. For example, consider a firm that
currently employs twenty-five secretaries. As the result of its supply forecast,
the firm predicts that five of these secretarial positions will become vacant by
the end of the planning period because of retirements, promotions, and so
forth. Its demand forecast predicts that three new secretarial positions will be
needed during the coming period because of an increased demand for the
company's product. By combining these two estimates, the firm now realizes
that it must hire eight new secretaries (five to replace those expected to
vacate their positions, plus three to fill the newly created positions).
5.10 OUTCOMES OF THE HR PLANNING PROCESS
When the HR planning process is completed, a firm must establish and
implement HRM practices in order to meet its human resource needs.
Following is a brief overview of how HRM practices can help organizations to
deal with anticipated oversupplies and undersupplies of personnel.
The trend toward organizational restructuring usually results in a smaller
workforce. Therefore, when an organization's strategic plan calls for
restructuring, the HRM response usually is one of downsizing. Downsizing
usually results in layoffs. Because of the negative outcomes that are often
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associated with layoffs, employers are encouraged to seek alternatives, such
as hiring freezes, early retirements, restricted overtime, job sharing, and pay
reductions.
When the results of demand and supply forecasting project an undersupply of
personnel at some future point in time, the organization must decide how to
resolve this problem. The solution may involve hiring additional staff, but there
are other options. When HR plans indicate an undersupply of employees,
firms can recruit personnel to staff jobs with anticipated vacancies. HRMS
packages provide employers with capabilities to carry out recruitment in all of
its steps. The first step is to conduct a job analysis to determine the
qualifications needed for each vacant job.
The next step is to determine where and how to recruit the needed
individuals. For instance, a company must decide whether to fill its vacancies
externally (i.e., from the external labor market) or internally (i.e., from its own
current workforce). When recruiting externally, an organization should first
assess its attractiveness in the eyes of potential applicants; unattractive
employers may have trouble generating a sufficiently large applicant pool.
Such employers should attempt to increase the number of people who are
attracted to the organization and thus interested in applying for a job there.
This may be accomplished by increasing starting pay levels and/or improving
benefit packages. Another option is to target certain protected groups whose
members may be underemployed in the local labor market, such as older,
disabled, or foreign-born individuals.
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Internal recruitment efforts can be improved through the use of career
development programs. When designing such a program, the organization
should collect work history and skill level information on each of its
employees. Such information would include age, education level, training,
special skills (e.g., foreign language spoken), and promotion record, and
should be stored on a computer. This employee information allows the
organization to identify current employees who are qualified to assume jobs
with greater responsibility levels. For instance, in departments where skilled
managers are in short supply, a management replacement chart can be
prepared that lists present managers, proposes likely replacements, and gives
an estimate of when the replacement candidate will be trained and available
to fill an open position.
Instead of hiring new workers to meet increasing demands, an organization
may decide to improve the productivity of the existing workforce through
additional training. Other options include the use of overtime, additional shifts,
job reassignments, and temporary workers. Another option is to improve
retention rates. When this aim is met, firms will have fewer job vacancies to
fill.
Retention rates can be improved at the outset of the employer/employee
relationship, when applicants are first recruited. Retention rates are likely to
improve when applicants are given a realistic preview of what their jobs would
actually be like (warts and all), rather than an overly glowing one.
Workers want to feel valued and needed by their organization. In a climate
characterized by mergers, acquisitions, and layoffs, many workers feel very
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insecure about their jobs. Employees with such feelings often begin shopping
around for other jobs. These fears can be eased by implementing HR plans
for training and cross-training. Such plans allow workers to perform a variety
of functions, thus ensuring that they have the necessary skills to continue
making contributions to the firm. Management training also is crucial in this
regard. Organizations must train managers to be good supervisors. Poor
"people management" is a primary cause of voluntary turnover. Managers at
all levels should know what is expected of them, in terms of managing people
instead of just managing budgets.
Companies also can improve retention rates by creating a work environment
that encourages employees to participate actively in the company's total
welfare. Workers want recognition for their contributions to organizational
progress, but this recognition must be tailored to the workers' individual
needs. While some workers may be motivated by monetary rewards, others
seek recognition by peers and managers, feelings of accomplishment, or job
satisfaction.
Workers now demand more flexible schedules to best fit their lifestyles.
Organizations can improve retention rates by implementing programs to
accommodate these needs, such as job sharing, shortened workweeks, and
telecommuting via computer and modem.
Finally, companies also can improve retention rates by offering attractive
benefit packages, such as generous retirement plans, stock ownership, health
and dental insurance, and employee discount programs. Many firms are now
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offering "cafeteria plan" benefit packages, which are tailored to the specific
needs of each of their employees.
5.11 INFORMATION REQUIRED TO SUCCESSFULLY FORECAST
HUMAN RESOURCES DEMAND AND SUPPLY
There are three important elements to consider in order to successfully
forecasting labor demand and supply
Fig 10: Elements of Forecasting
Source: Author
5.12 Identifying stakeholders who will be involved
1. The Human Resources Planning Team
The HRP team should include all relevant stakeholders across multiple
functional areas and organizational levels. Explicitly developing a team for the
Identifying stakeholders who will be
involved
Determining the appropriate
planning horizon
Defining the internal and
external labour force.
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HRP process helps ensure success of the strategies within the plan and holds
those who are not meeting the goals accountable. Team will reduce the
tendency for group members to avoid introducing novel ideas that are outside
of the group‘s normal mode of thinking for fear that they will disrupt the group
consensus process.
2. Determining the Appropriate Planning Horizon
The appropriate planning horizon is a judgment about how far into the future
predictions can be made, taking into consideration acceptable levels of
operational, organizational, and environmental uncertainties. The typical
planning horizon is two-tiered. The first horizon, usually a year in duration,
identifies more immediate workforce concerns that can be addressed quickly,
such as known employee exits, replacements, promotions, etc. The second
horizon is usually longer, approximately 3 to 6 years, allowing for enough lead
time to actively recruit, select, train, and transfer staff as needed.
3. Evaluating the Current Human Resources Situation
Defining the Internal Labor Force
When determining which persons should be considered employees, a good
measure is those who perform the work or provide services within the
company under the control or supervision of the organization‘s management
team.
4. HR Inventory
Identifying current workforce dynamics is a critical step in the development of
an HR plan. A skills inventory is a computerized or manual system designed
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to take stock of information about current employees, experience, education,
compensation history, and/or unique abilities. As an alternative or
complement to the skills inventory, a human resource audit is a systematic
examination and analysis of an organizational workforce in an effort to create
an understanding of the current staffing situation.
Defining the External Labor Force
The external labor force refers to potential sources of human resources
outside of an organization that can affect the future supply of employees.
Evaluation of the external labor force relies on labor market estimates based
on regional and global economic, environmental, and demographic changes.
5.13 Human Resource Actions
After estimating the demand and supply of human resources, managers must
take steps to balance the two. The matching of projected human resource
needs with projected availability of human resources provides the basis for
undertaking various actions to ensure that supply will equal demand at the
time specified. Table 1 shows the HR actions based on demand and supply
forecasting. The data that has been collected for the availability and
requirement of the personnel can be categorized into four situations. Each of
these situations requires a different action to be taken for estimating the
demand and supply of human resources.
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Table 12: HR Action based on Demand and Supply Forecasting
5.14 HR Function as a Strategic Contributer
Situation Demand
for
Manpower
Supply of
Manpower
HR Actions
1 Low Low Need to pay attention to
organizational Planning
Training and development
of manpower if industry
growth and change in
demand is expected in future
2 Low High Prepare plans for growth and
expansion
Outplacement of employees
Layoff excess manpower
Demote certain personnel
Early retirement of
employees
3 High Low Internal Promotions
Training and Development
of manpower
4 High High Offer competitive pay
package
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The use of technology in HR, have facilitated a change in emphasis to that of
HR playing a more strategic role within the organisation.
Figure 11 illustrates the hierarchical roles that the HR function may play within
an organisation. Many people in HR have traditionally been involved with
administrative activity, shown at the bottom of the HR value pyramid. The use
of technology may allow HR practitioners to move up through this hierarchy
and undertake more strategic work as business partners, firstly by freeing up
time for strategic-level work and also by providing the managers with
quantifiable data to drive this strategy .With the growth of information
technology, much administration can potentially be accomplished using self-
service or automated systems. The HR function can, and increasingly is,
making strategic contributions to the performance of an organisation. The
take-up of self-service is currently relatively low, but many organisations are
planning to introduce it in the future (CIPD 2005).
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Figure 11: HR value pyramid Source : Ada Reddington et al (2005)
5.14 SUCCESSION PLANNING IN HRIS
What is Succession Planning?
Making sure that the right people are in the right place at the right time in
order to be as prepared as possible for unexpected events.
Why is it important?
On average, companies will lose a third of their top management in the next 5
years. Organisations are now flatter and leaner, with fewer layers of middle
managers available to fill key roles. To compound the problem, failure rates
Business
patnership
Consulting from reactiveto proactive
Transactions
Basic administration (entry level)
Increasing
Transform
ation of
HR
function
Increasing
developme
nt of HR
activity to
line
managers
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among executives hired from outside can be as high as 50%.Most
organisations focus almost entirely on hiring and training whilst neglecting
succession planning with more than two thirds of all businesses having no
formal succession plan. Many senior management teams fail to develop in
their successors the high-level skills and competencies they will require for
advancement. ―Continuity of leadership‖ is essential to drive organizations
forward.
How can we be effective?
There is no simple template for putting a succession planning process in
place. Every organization is different, and each must develop a succession
plan that fits its specific needs with management guiding the process. Many
large organizations require succession planning applications or human
resources information systems (HRIS) that provides visibility across the
company. This is particularly crucial when talent can reside in many different
locations. Succession planning is a complex task that requires constant
attention and ongoing resources. Successful organizations devote
considerable time and resources to mapping out skills and competencies so
that they can hire and train appropriately and achieve a distinct competitive
edge .A growing number of companies are recognising the value of
succession planning, and they are expanding the concept from one
traditionally used to manage only senior level positions to encompass
managerial positions across the organization.
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Fig. 12 shows the ―Full Details‖ screen, which is the core of Succession
Planning in HRIS, allowing rapid access to all the information on each
individual held on the database.
The top half of the screen shows key personal information; customizing which
reflect things relevant to individual organizations. For example, rather than
seeing ―Grade‖ and ―Status‖ you may prefer to record ―Location‖ and
―Education‖.
The bottom half of the screen shows a series of tabs holding further
information on the individual. Clicking on the various tab heading brings that
information to the front to view or edit. The various tabs are-
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Succeeded By - This holds the names of the people who could take over
from the individual shown in the top half of the screen. Adding a new
successor by selecting their name from the appropriate drop-down box. After
adding new successor, the summary panel on the right in the top half of the
screen get update to reflect the number of potential successors within each
category.
Job History - This is where the details of the various jobs undertaken by an
individual are stored with details of the current role also shown in the upper
half of the screen. Over time, it will show an individual‘s complete career
history.
Notes- All notes after entering will be edited, added to, or deleted.
Assessments - This is a simple method of evaluating an individual. Score is
a numeric value but is not limited in any way. For example, some users may
use a scale of 1-5, whereas others may use percentages.
Attributes - This allows a maximum of 50 additional user-defined variables to
quantify. The sort of information measured can include the key managerial
competencies relevant to an individual business.
Successor to - This shows those people for whom the individual in the top
half of the screen could take over from. Information is not input using this tab;
instead, it is populated because of what is added in the ―Succeeded By‖
panel.
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An effective HRIS solution coupled with a thoughtful
succession planning policy can rapidly boost your
organizational performance
A well-structured succession-planning program will enable you to locate
talent, prepare your organization for growth, and ensure you have the right
personnel to function at peak efficiency. Best practice organizations use
succession planning to develop and maintain strong leadership and to
ensure that they address all the skills and competencies required for
today‘s business environment. A smooth leadership transition from one
generation of executives to the next can be achieved if succession
planning is a top corporate priority. From recruiting, the right candidate to
developing new leadership from within, succession planning is essential for
an organization to meet its strategic goals.
Recruitment and selection
Recruitment represents one of the core staffing activities that need to be
efficiently and effectively planned and conducted for organizations to attain
success (Darrag et al., 2010). Darrag et al. (2010) identified recruitment as
the process of discovering potential candidates for actual or anticipated
organizational vacancies or, from another perspective; it is a link activity
bringing together those with jobs to fill and those seeking jobs. According to
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Selden et al. (2000) a fair number of studies focus on the performance effects
of specific human resource management practices, such as training, and
selection. The different stages of the recruitment and selection process were
identified by Fill and Moreland (1999) as: Department (contextual) analysis;
Job analysis; Job description and person specification; the seeking of
applicants; attracting applicants ;Screening applicants ;Interviewing
candidates ;Appointment.
Figure13: The stages of recruitment and selection
Source: Human Resources Management, Wendell L. French
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Selection process Selection is the process of choosing individuals with the relevant qualifications
to fill existing or projected openings. Data and information about applicants
regarding current employees, whether for a transfer or promotion, or outside
candidates for the first time position with the firm are collected and evaluated.
The steps in the selection process, in ascending order include preliminary
reception of applicants, initial applicant screening, selection testing, selection
interview, background investigation and reference checking, supervisory
interview, realistic job previews, making the hiring decision, candidate
notification, and evaluating the selection process. However, each step in the
selection process, from preliminary applicant reception and initial screening to
the hiring decision, is performed under legal, organizational, and
environmental constraints that protect the interests of both applicant and
organization.
Job Analysis and Design Information Systems
Tactical human resource information systems provide managers with support
for decisions that emphasize the allocation of resources. Within the human
resource management area, these decisions include recruitment decisions;
job analysis and design decisions, training and development decisions, and
employee compensation plan decisions.
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Human resource information systems (HRIS) and specialized software help
automate job analysis analyze jobs and write job descriptions and job
specifications based on those analyses. Combine job analysis with job
evaluation and the pricing of organizational jobs.
The information inputs to the job analysis and design information system
include data from interviews with supervisors and workers and affirmative
action guidelines. Inputs also include information from sources external to the
firm, such as labor unions, competitors, and government from sources
external to the firm, such as labor unions, competitors, and government
agencies. The outputs of the job analysis information system are job
descriptions and job specifications. These outputs provide managers with the
basis for many tactical human resource decisions.
E-Recruitment
Internet is an increasingly popular way to recruit applicants, research
technologies and perform other essential functions in business. Delivering
human resource services online (eHR) supports more efficient collection,
storage, distribution, and exchange of data (Friesen, 2003). An intranet is a
type of network used by companies to share information to people within the
organization. An intranet connects people to people and people to information
and knowledge within the organization; it serves as an ―information hub‖ for
the entire organization. Most organizations set up intranets primarily for
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employees, but they can extend to business partners and even customers
with appropriate security clearance (Byars & Rue, 2004). By making the move
to a HRIS system, Company is able to keep more accurate records as well as
better prepare for future growth.
The costs will be significantly reduced which is associated with sourcing
internal and external candidates when talent pool management is utilised
through an e-Recruitment system that maintains a skills framework of
previous applicants and staff, which makes position skills matching effortless.
Time to hire costs will reduced as e-Recruitment systems extend candidate
reach and provides higher quality candidates who are easier to identify
through online skills matching. The online screening tools will ensure HR does
not spend time on unsuitable candidates.
5.20 Corporate Communication (Internal Communication)
Corporate communication is a set of activities involved in managing and
orchestrating all internal and external communications aimed at creating
favorable point-of-view among stakeholders on which the company depends.
Corporate communication is the practice of enabling information and data
exchanges between internal and key external groups that have a direct
relationship with an enterprise. This practice allows the communication to be
provided from the standpoint of it with the employees, suppliers, investors and
partners.
5.21HR distance and isolation
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The implementation of an HRIS can dramatically affect the relationship
between HR staff and employees. Employees used to working with an HR
professional face to face may find it challenging to use the computer to
complete tasks or answer questions. They may miss the ―high touch‖ feeling
of working with HR staff. As more HR content are available online and more
basic administration is pushed to employees to manage, the need for
personal contact between HR staff and employees is reduced. This increased
distance can make it more difficult for effective communication to occur and
can weaken the relationship between HR and employees. HR executives
should consider the impact of this ―distancing‖ and take measures to mitigate
it.
HRIS empowers the employee to control their own data, employee do not
have to interact to their HR Manager for updating their details such as their
qualification, experience. For taking the approval of leave employees send the
leave application form to the HRIS system, which is approve by their
departmental head and next by the HRD. Due to everything being through
HRIS there is less interaction between HR and the Employee which have
several negative effect on the organisation. The Human Resource department
needs to be more responsive to employee questions and concerns. In many
companies, the HR department is consider as the policymaking, policing arm
of management. In fact, in forward thinking HR departments, responsiveness
to employee needs is one of the cornerstones.
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Employees want face-to-face communication time with both their supervisors
and executive management. This communication helps them feel recognized
and important. Moreover, yes, your time is full because you have a job, too.
However, a manager‘s main job is to support the success of all his or her
reporting employees. That is how the managers magnify their own success.
Distance and isolation raise low employee morale and poor productivity rate.
Chapter 6
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Case Study of Macleods Pharmaceuticals Ltd.
Chapter 6
Introduction to the Company
Macleods Pharmaceuticals Limited was founded in 1986 and is based in
Mumbai, India. It also has presence in South East Asia, the Asia Pacific,
Africa, North America, EU and EEA, MENA, Latin America, and CIS countries.
Macleods Pharmaceuticals Limited, a pharmaceutical company, develops and
manufactures pharmaceutical products for various therapeutic diseases in
India. It offers dispersible, bi-layered, coated, uncoated, and enteric coated
tablets; hard and soft gelatin capsules; dry powder injections and syrups; and
granules and liquid orals. The company provides products in various
therapeutic groups, such as anti-infective, cardio-vascular, CNS, respiratory
inhalation, dermatology, oncology, and orthopedics; and anti-TB, asthma and
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COPD, anti bacterial, NSAIDS, malaria, HIV, anti-arthritic, anti-osteoporotic,
gastroenterology, gynecology, diabetology, and CVS.
Macleods has enjoyed rapid growth in the recent years, growing at an
average growth rate of over 22% for the past 5 years.
Macleods with its experience spanning more than two decades has emerged
as a force to reckon with in global pharmaceutical market. With an asset of
more than 10,000 professionally qualified employees across the globe,
Macleods a multiple location organization, is based out of Mumbai, India.
With expertise in range of formulations ranging from tablets to sterile dosage
form and from inhalation to novel drug delivery system, Macleods is currently
ranked 10th (on mat basis source IMS) in Indian Pharmaceutical Industry and
is recognized as one of the fastest growing pharmaceutical company in India.
Pioneering efforts of Macleods in providing medications for both chronic and
acute therapy, with world- class state-of-the-art manufacturing facilities
approved by various regulatory authorities of many countries and well
equipped R&D, analytical and bioequivalence center audited by various
regulatory authorities makes Macleods truly a global pharmaceutical
company.
Product Portfolio
Macleod‘s product portfolio encompasses a wide spectrum of therapeutic
groups, ranging from:
119
• Anti-TB
• Asthma & COPD
• Anti bacterial
• NSAIDS
• Anti-arthritic
• Anti-osteoporotic,
• Gastroenterology,
• Gynaecology
• Diabetology and
• CVS products.
Population Frame
Organisation Macleod‘s Pharmaceutical Limited
Organisation Type Manufacturing
Company/Pharmaceutical Company
Total Employees 765
Distribution of target population
Department No of employees
Human Resouce Department 25
IT specialist handling HRIS 20
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Table 11 – Shows the target population at Macleod‘s pharmaceuticals ltd
Chapter 7
Employees using HRIS 200
Total 245
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Data analysis
Chapter 7
Data Analysis
7.1 Findings and discussions
The response rate was good among the Employees, and collected total 100
feedbacks.
Department No of employees approach
No of employees Responded
Response Rate %
HR 25 25 100
IT specialist handling HRIS
20 20 100
Employees using HRIS 70 55 78
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Table 12: Response rate from the organisations
VARIABLES ANALYSES CODE
Figure13 – Variables code
JA – JOB ANALYSIS
ER- E- RECURTIMENT
LS – LABOUR SUPPLY
LD- LABOUR DEMAND
SP- SUCESSION PLANNING
CO – COPORATE COMMUNICATION
7.2 HRIS Recruitment subsystem
HRIS job analysis
HRIS job analysis process efficiency and effectiveness measured using three
factors JA1, JA2 AND JA3.
Descriptive Statistics: JA 1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
•JA1 , JA2, JA3
•ER1, ER2, ER3
HRIS RECURITMENT SUBSYSTEM
•LS1, LS2, LS3,
•LD1, LD2,LD3
•SP2 , SP2
HRIS HUMAN RESOURCE PLANNING SUBSYSTEM
•CO1, CO2 , CO3 HRIS COMMUNICATION
Total 115 100 86
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JA 1 100 0 4.1700 0.0805 0.8047 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: JA2 Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum JA2 97 3 3.567 0.114 1.126 1.000 3.000 4.000 4.000 5.000
Descriptive Statistics: JA3 Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum JA3 100 0 4.2100 0.0998 0.9979 1.0000 4.0000 4.0000 5.0000 5.0000
Table 13– Show the Descriptive data of the variable JA1, JA2, JA3
All the respondents have responded to all factors. Most respondents agree
with the factors, where mean indicate four.
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Figure14: Summary Report for JA1
HRIS identifies unfilled positions accurately. The most favorable answer was
agreed with 45% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.0103 4.3297
4.0000 4.0000
0.7066 0.9348
A-Squared 7.68
P-Value <0.005
Mean 4.1700
StDev 0.8047
Variance 0.6476
Skewness -0.794864
Kurtosis 0.262732
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
4.304.254.204.154.104.054.00
95% Confidence Intervals
Summary Report for JA 1
Tally for Discrete Variables: JA 1
JA 1 Count
2 4
3 13
4 45
5 38
N= 100
JA1 represent -
Identification of unfilled positions accurately.
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Figure15: Summary Report for JA2
Table 15 : Tally for Discrete Variables: JA2
JA2 Count
1 9
3 37
4 29
5 22
N= 97
*= 3
HRIS analyses each job description and its job specification. The most
favorable answer was neither agrees nor disagreed with 35% of the total
respondent.
1st Quartile 3.0000
Median 4.0000
3rd Quartile 4.0000
Maximum 5.0000
3.3400 3.7940
3.0000 4.0000
0.9872 1.3119
A-Squared 5.24
P-Value <0.005
Mean 3.5670
StDev 1.1265
Variance 1.2689
Skewness -0.683780
Kurtosis 0.267519
N 97
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.83.63.43.23.0
95% Confidence Intervals
Summary Report for JA2
JA2 represent HRIS analyses each job description and its job specification
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Figure 16: Summary Report for JA3
Table 16 Tally for Discrete Variables: JA3
JA3 Count
1 4
2 2
3 11
4 35
5 48
N= 100
HRIS evaluates the recruiting processes effectively. The most favorable
answer was strongly agreed with 48% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.0120 4.4080
4.0000 5.0000
0.8762 1.1593
A-Squared 8.89
P-Value <0.005
Mean 4.2100
StDev 0.9979
Variance 0.9959
Skewness -1.55612
Kurtosis 2.47734
N 100
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
5.04.84.64.44.24.0
95% Confidence Intervals
Summary Report for JA3
JA3 represent -
HRIS evaluates the recruiting processes effectively.
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HRIS E- recruitment
HRIS E- recruitment efficiency and effectiveness measured using three
factors ER1, ER2, ER3.
Table 17 – Show the Descriptive data of the variable ER1, ER2, ER3
All the respondents have responded to all factors. Most respondents agree
with the factors, where mean indicate four.
Descriptive Statistics: ER1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
ER1 100 0 4.2000 0.0876 0.8762 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: ER2
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
ER2 100 0 4.2500 0.0833 0.8333 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: ER3
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
ER3 100 0 4.1400 0.0853 0.8530 2.0000 4.0000 4.0000 5.0000 5.0000
128
Figure 17: Summary Report for ER1
Table 18 Tally for Discrete Variables: ER1
ER1 Count
2 4
3 18
4 32
5 46
N= 100
The most favorable answer was strongly agreed with 46% of the total
respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.0261 4.3739
4.0000 5.0000
0.7693 1.0178
A-Squared 8.12
P-Value <0.005
Mean 4.2000
StDev 0.8762
Variance 0.7677
Skewness -0.772328
Kurtosis -0.362920
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
5.04.84.64.44.24.0
95% Confidence Intervals
Summary Report for ER1
ER1 HRIS leverages employee‘s talent in the right place at the right time.
129
Figure 18: Summary Report for ER2
TABLE 19 : Tally for Discrete Variables: ER2
ER2 Count
2 4
3 13
4 37
5 46
N= 100
The most favorable answer was strongly agreed with 46% of the total
respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.0846 4.4154
4.0000 5.0000
0.7317 0.9681
A-Squared 8.40
P-Value <0.005
Mean 4.2500
StDev 0.8333
Variance 0.6944
Skewness -0.928386
Kurtosis 0.221744
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
5.04.84.64.44.24.0
95% Confidence Intervals
Summary Report for ER2
ER2 represent
HRIS help to reduce recruiting costs
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Figure 19: Summary Report for ER3
Table 20 : Tally for Discrete Variables: ER3
ER3 Count
2 4
3 18
4 38
5 40
N= 100
The most favorable answer was strongly agreed with 40% of the total
respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
3.9707 4.3093
4.0000 4.2577
0.7490 0.9910
A-Squared 7.17
P-Value <0.005
Mean 4.1400
StDev 0.8530
Variance 0.7277
Skewness -0.673008
Kurtosis -0.332855
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
4.34.24.14.0
95% Confidence Intervals
Summary Report for ER3
ER3 HRIS eliminates unsuitable applicants early and focus on promising candidates.
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7.3 Human Resource Planning subsystem
HRIS labour demand and supply analysis
HRIS labour demand and supply analysis process effectiveness was
measured using six factors namely LS1, LS2, LS3, LD1, LD2.LD3, SP1, SP2.
All the factors were responded by the respondent.
Descriptive Statistics: LS1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
LS1 99 1 4.4646 0.0736 0.7328 2.0000 4.0000 5.0000 5.0000 5.0000
Descriptive Statistics: LS2
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
LS2 96 4 3.656 0.131 1.280 1.000 3.000 4.000 5.000 5.000
Descriptive Statistics: LS3
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
LS3 96 4 3.323 0.149 1.462 1.000 2.000 4.000 5.000 5.000
Descriptive Statistics: LD1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
LD1 100 0 4.2700 0.0839 0.8391 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: LD2
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
LD2 98 2 3.724 0.121 1.199 1.000 3.000 4.000 5.000 5.000
Descriptive Statistics: LD3
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
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Table 21: Descriptive Statistics
Most respondents agree with the factors where median indicate 4 (four)
LD3 100 0 4.1700 0.0779 0.7792 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: SP1 Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum SP1 100 0 4.0500 0.0914 0.9143 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: SP2 Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum SP2 100 0 4.2700 0.0694 0.6942 2.0000 4.0000 4.0000 5.0000 5.0000
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Figure 20: Summary Report for LS1
The most favorable answer was strongly agreed with 59% of the total
respondent.
1st Quartile 4.0000
Median 5.0000
3rd Quartile 5.0000
Maximum 5.0000
4.3185 4.6108
4.2870 5.0000
0.6430 0.8520
A-Squared 12.47
P-Value <0.005
Mean 4.4646
StDev 0.7328
Variance 0.5370
Skewness -1.14565
Kurtosis 0.42979
N 99
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
5.04.84.64.44.2
95% Confidence Intervals
Summary Report for LS1
LS1 represent -
HRIS forecasts supply of human resources.
Table 22 Tally for Discrete Variables: LS1
LS1 Count
2 1
3 11
4 28
5 59
N= 99
*= 1
134
Figure 21: Summary Report for LS2
LS2 represent -
HRIS estimates future human resources requirement of the organisation.
Table 22 : Tally for Discrete Variables: LD2
LD2 Count
1 6
2 10
3 21
4 29
5 32
N= 98
*= 2
The most favorable answer was strongly agreed with 32% of the total
respondent.
1st Quartile 3.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
3.3969 3.9156
3.0000 4.0000
1.1210 1.4920
A-Squared 4.63
P-Value <0.005
Mean 3.6563
StDev 1.2800
Variance 1.6385
Skewness -0.618060
Kurtosis -0.651702
N 96
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.83.63.43.23.0
95% Confidence Intervals
Summary Report for LS2
135
Figure 22: Summary Report for LS3
LS3 represent
HRIS ensures organization has right kind and numbers of employees at right place at right time.( EMPLOYEE PLACEMENT )
Table23 Tally for Discrete Variables: LS3
LS3 Count
1 18
2 10
3 18
4 23
5 27
N= 96
*= 4
The most favorable answer was strongly agreed with 27% of the total
respondent.
1st Quartile 2.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
3.0267 3.6191
3.0000 4.0000
1.2802 1.7038
A-Squared 4.48
P-Value <0.005
Mean 3.3229
StDev 1.4618
Variance 2.1367
Skewness -0.39540
Kurtosis -1.19788
N 96
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.83.63.43.23.0
95% Confidence Intervals
Summary Report for LS3
136
Figure 23: Summary Report for LD1
Table 24 : Tally for Discrete Variables: LD1
LD1 Count
2 4
3 13
4 35
5 48
N= 100
The most favorable answer was strongly agreed with 48% of the total
respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.1035 4.4365
4.0000 5.0000
0.7368 0.9748
A-Squared 8.76
P-Value <0.005
Mean 4.2700
StDev 0.8391
Variance 0.7041
Skewness -0.966987
Kurtosis 0.236971
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
5.04.84.64.44.24.0
95% Confidence Intervals
Summary Report for LD1
LD1 represent - HRIS manages internal information within the organisation.
137
Figure 24: Summary Report for LD2
LD2 represent HRIS manages external information outside the organisation.
Table 25 : Tally for Discrete Variables: LD2
LD2 Count
1 6
2 10
3 21
4 29
5 32
N= 98
*= 2
The most favorable answer was strongly agreed with 32% of the total
respondent.
1st Quartile 3.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
3.4840 3.9650
4.0000 4.0000
1.0518 1.3957
A-Squared 4.69
P-Value <0.005
Mean 3.7245
StDev 1.1995
Variance 1.4388
Skewness -0.692736
Kurtosis -0.394783
N 98
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.93.83.73.63.5
95% Confidence Intervals
Summary Report for LD2
138
Figure 25: Summary Report for LD3
Table 26: Tally for Discrete Variables: LD3
LD3 Count
2 4
3 11
4 49
5 36
N= 100
The most favorable answer was agreed with 49% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.0154 4.3246
4.0000 4.0000
0.6842 0.9052
A-Squared 8.13
P-Value <0.005
Mean 4.1700
StDev 0.7792
Variance 0.6072
Skewness -0.831068
Kurtosis 0.587580
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
4.304.254.204.154.104.054.00
95% Confidence Intervals
Summary Report for LD3
LD3 represent -
HRIS constantly analyses and matches the demand for human resources.
139
Figure 26: Summary Report for SP1
SP1 represent - HRIS identifies a logical progression path and the
steps required for advancements.
The most favorable answer was agreed with 53% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
3.8686 4.2314
4.0000 4.0000
0.8027 1.0621
A-Squared 9.93
P-Value <0.005
Mean 4.0500
StDev 0.9143
Variance 0.8359
Skewness -1.07126
Kurtosis 0.61881
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
4.24.14.03.9
95% Confidence Intervals
Summary Report for SP1
Table 27: Tally for Discrete Variables: SP1
SP1 Count
2 12
3 3
4 53
5 32
N= 100
140
Figure 27: Summary Report for SP2
SP2 represent - Future supply and demand of labor can be forecast using
What-If analysis function of HRIS.
Table 28 : Tally for Discrete Variables: SP2
SP2 Count
2 2
3 8
4 51
5 39
N= 100
The most favorable answer was agreed with 51% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.1323 4.4077
4.0000 4.0000
0.6095 0.8064
A-Squared 9.59
P-Value <0.005
Mean 4.2700
StDev 0.6942
Variance 0.4819
Skewness -0.789123
Kurtosis 0.846925
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
4.44.34.24.14.0
95% Confidence Intervals
Summary Report for SP2
141
7.4 Corporate Communication (internal) subsystem
HRIS Communication
HRIS communication analysis effectiveness measured using three CO1, CO2
and CO3 factors.
Descriptive Statistics: CO1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
CO1 100 0 4.3700 0.0646 0.6460 2.0000 4.0000 4.0000 5.0000 5.0000
Descriptive Statistics: CO2
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
CO2 100 0 3.160 0.116 1.161 1.000 2.000 3.000 4.000 5.000
Descriptive Statistics: CO3
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
CO3 100 0 3.140 0.111 1.110 1.000 2.000 3.000 4.000 5.000
Table 29: Descriptive Statistics
All the respondents have responded to three factors. Most respondents
neither agree nor disagree with the factors where mean indicate three (three).
142
Figure 28: Summary Report for co1
Table 30 : Tally for Discrete Variables: CO1
CO1 Count
2 2
3 3
4 51
5 44
N= 100
The most favorable answer was agreed with 51% of the total respondent.
1st Quartile 4.0000
Median 4.0000
3rd Quartile 5.0000
Maximum 5.0000
4.2418 4.4982
4.0000 5.0000
0.5672 0.7504
A-Squared 11.44
P-Value <0.005
Mean 4.3700
StDev 0.6460
Variance 0.4173
Skewness -0.99114
Kurtosis 1.93376
N 100
Minimum 2.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
5432
Median
Mean
5.04.84.64.44.24.0
95% Confidence Intervals
Summary Report for CO1
CO 1 represent -
HRIS create self service in the organisation
143
Figure 29: Summary Report for CO2
Table 31 : Tally for Discrete Variables: CO2
CO2 Count
1 10
2 18
3 30
4 30
5 12
N= 100
The most favorable answer was agreed with 51% of the total respondent.
1st Quartile 2.0000
Median 3.0000
3rd Quartile 4.0000
Maximum 5.0000
2.9296 3.3904
3.0000 4.0000
1.0193 1.3487
A-Squared 3.37
P-Value <0.005
Mean 3.1600
StDev 1.1610
Variance 1.3479
Skewness -0.240153
Kurtosis -0.713811
N 100
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.83.63.43.23.0
95% Confidence Intervals
Summary Report for CO2
CO2 HRIS create platform for Open Communication
144
Figure 30: Summary Report for co3
Table 32 : Tally for Discrete Variables: CO3
CO2 Count
1 10
2 16
3 32
4 30
5 12
N= 100
The most favorable answer was agreed with 30 % and 30 % neither agrees
nor disagrees of the total respondent.
1st Quartile 2.0000
Median 3.0000
3rd Quartile 4.0000
Maximum 5.0000
2.9197 3.3603
3.0000 4.0000
0.9748 1.2898
A-Squared 4.66
P-Value <0.005
Mean 3.1400
StDev 1.1103
Variance 1.2327
Skewness -0.418192
Kurtosis -0.658628
N 100
Minimum 1.0000
Anderson-Darling Normality Test
95% Confidence Interval for Mean
95% Confidence Interval for Median
95% Confidence Interval for StDev
54321
Median
Mean
4.03.83.63.43.23.0
95% Confidence Intervals
Summary Report for CO3
CO3 HRIS perceive the effectiveness and integrity of current communication culture
145
7.5 Summary of Descriptive statistics
Descriptive Statistics: JA 1, JA2, JA3, LS1, LS2, LS3, LD1, LD2, LD3, CO1, CO2, ER2, ER1, ER3
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
JA 1 100 0 4.1700 0.0805 0.8047 2.0000 4.0000 4.0000 5.0000 5.0000
JA2 97 3 3.567 0.114 1.126 1.000 3.000 4.000 4.000 5.000
JA3 100 0 4.2100 0.0998 0.9979 1.0000 4.0000 4.0000 5.0000 5.0000
LS1 99 1 4.4646 0.0736 0.7328 2.0000 4.0000 5.0000 5.0000 5.0000
LS2 96 4 3.656 0.131 1.280 1.000 3.000 4.000 5.000 5.000
LS3 96 4 3.323 0.149 1.462 1.000 2.000 4.000 5.000 5.000
LD1 100 0 4.2700 0.0839 0.8391 2.0000 4.0000 4.0000 5.0000 5.0000
LD2 98 2 3.724 0.121 1.199 1.000 3.000 4.000 5.000 5.000
LD3 100 0 4.1700 0.0779 0.7792 2.0000 4.0000 4.0000 5.0000 5.0000
CO1 100 0 4.3700 0.0646 0.6460 2.0000 4.0000 4.0000 5.0000 5.0000
CO2 100 0 3.160 0.116 1.161 1.000 2.000 3.000 4.000 5.000
146
ER2 100 0 4.2500 0.0833 0.8333 2.0000 4.0000 4.0000 5.0000 5.0000
ER1 100 0 4.2000 0.0876 0.8762 2.0000 4.0000 4.0000 5.0000 5.0000
ER3 100 0 4.1400 0.0853 0.8530 2.0000 4.0000 4.0000 5.0000 5.0000
SP1 100 0 4.0500 0.0914 0.9143 2.0000 4.0000 4.0000 5.0000 5.0000
SP2 100 0 4.2700 0.0694 0.6942 2.0000 4.0000 4.0000 5.0000 5.0000
147
7.6 DATA RECORDED
The data of 100 respondents were collected. Following is the summary of the
count on the likert scale of the variables.
Table 34: Tally for Discrete Variables: JA 1, JA2, JA3, LS1, LS2, LS3, LD1,
LD2,...
Column1
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
JA 1 100 0 4.1700 0.0805 0.8047 2.0000 4.0000 4.0000 5.0000 5.0000
JA2 97 3 3.567 0.114 1.126 1.000 3.000 4.000 4.000 5.000
JA3 100 0 4.2100 0.0998 0.9979 1.0000 4.0000 4.0000 5.0000 5.0000
LS1 99 1 4.4646 0.0736 0.7328 2.0000 4.0000 5.0000 5.0000 5.0000
LS2 96 4 3.656 0.131 1.280 1.000 3.000 4.000 5.000 5.000
LS3 96 4 3.323 0.149 1.462 1.000 2.000 4.000 5.000 5.000
LD1 100 0 4.2700 0.0839 0.8391 2.0000 4.0000 4.0000 5.0000 5.0000
LD2 98 2 3.724 0.121 1.199 1.000 3.000 4.000 5.000 5.000
LD3 100 0 4.1700 0.0779 0.7792 2.0000 4.0000 4.0000 5.0000 5.0000
CO1 100 0 4.3700 0.0646 0.6460 2.0000 4.0000 4.0000 5.0000 5.0000
CO2 100 0 3.160 0.116 1.161 1.000 2.000 3.000 4.000 5.000
ER2 100 0 4.2500 0.0833 0.8333 2.0000 4.0000 4.0000 5.0000 5.0000
ER1 100 0 4.2000 0.0876 0.8762 2.0000 4.0000 4.0000 5.0000 5.0000
148
ER3 100 0 4.1400 0.0853 0.8530 2.0000 4.0000 4.0000 5.0000 5.0000
SP1 100 0 4.0500 0.0914 0.9143 2.0000 4.0000 4.0000 5.0000 5.0000
SP2 100 0 4.2700 0.0694 0.6942 2.0000 4.0000 4.0000 5.0000 5.0000
149
5.7 HYPOTHESIS TESTING
5.7 a) Hypothesis Testing for JA1,JA2,JA3,ER1,ER2,ER3..
1. Use of HRIS job analysis process in an organisation improves the efficiency and effectiveness of HR planning.
H01: Higher utilisation of HRIS job analysis process in an organisation does not improve the efficiency and effectiveness of HR planning.
H11: Higher utilisation of HRIS job analysis process in an organisation improves the efficiency and effectiveness of HR planning.
150
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that JA1 variable for this hypothesis had
a mean value of 4.17. It is concluded that the mean is greater than 4 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 4.0364
and 4.3036, and 95% confident that it is greater than 4.0364.
151
152
A single sample t-test was conducted using a hypothesized mean value of 3. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that JA2 variable for this hypothesis had
a mean value of 3.5. It is conclude that the mean is greater than 3 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 3.3770
and 3.7570, and 95% confident that it is greater than 3.3770.
153
154
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that JA3 variable for this hypothesis had
a mean value of 4.2. Test: It is concluded that the mean is greater than 4 at the
0.05 level of significance.CI: Quantifies the uncertainty associated with estimating
the mean from sample data. 90% confident that the true mean is between 4.0443
and 4.3757, and 95% confident that it is greater than 4.0443.
155
156
A single sample t-test was conducted using a hypothesized mean value of 4.
This was because, respondents were asked to use a scale 1 to 5 in
responding to the question. The aim here was to compare the sample mean
with the hypothesized mean for probability estimation, that the sample mean
is different by chance or random occurrence. The t-test revealed that ER1
variable for this hypothesis had a mean value of 4.2. It is conclude that the
mean is greater than 4 at the 0.05 level of significance.CI: Quantifies the
uncertainty associated with estimating the mean from sample data. You can
be 90% confident that the true mean is between 4.0545 and 4.3455, and 95%
confident that it is greater than 4.0545.
157
158
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that ER2 variable for this hypothesis had
a mean value of 4.25.It is concluded that the mean is greater than 4 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 4.1116
and 4.3884, and 95% confident that it is greater than 4.1116.
159
160
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that ER3 variable for this hypothesis had
a mean value of 4.14. There is not enough evidence to conclude that the mean is
greater than 4 at the 0.05 level of significance.CI: Quantifies the uncertainty
associated with estimating the mean from sample data. 90% confident that the
true mean is between 3.9984 and 4.2816, and 95% confident that it is greater
than 3.9984.
161
From the above t- test, hypothesis test, which was, conducted on the six
variables JA1, JA2, JA3, ER1, ER2, ER3 we conclude that
H01: NULL Hypothesis is rejected; higher utilisation of HRIS job analysis
process in an organisation does not improve the efficiency and effectiveness
of HR planning. The alternative hypothesis is accepted. H11: Higher utilisation
of HRIS job analysis process in an organisation improves the efficiency and
effectiveness of HR planning. Mean is greater than 4; 4 indicate agreed on
likert scale which indicates that Job analysis have significant relationship with
effectiveness and efficiency in the organisation.
162
5.7 b) HYPOTHESIS FOR LS1...LS3, LD1...LD3, SP1...SP2...
The greater utilisation of HRIS Forecasting Demand and Supply analysis in an organisation increases the efficiency and effectiveness of HR planning.
H02: The greater utilisation of HRIS Forecasting Demand and Supply analysis in an organisation does not increase the efficiency and effectiveness of HR planning.
H12: The greater utilisation of HRIS Forecasting Demand and Supply analysis in an organisation increases the efficiency and effectiveness of HR planning.
163
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LS1 variable for this hypothesis had
a mean value of 4.4. You can conclude that the mean is greater than 4 at the
0.05 level of significance.
CI: Quantifies the uncertainty associated with estimating the mean from sample
data. 90% confident that the true mean is between 4.3423 and 4.5869, and 95%
confident that it is greater than 4.3423.
164
165
A single sample t-test was conducted using a hypothesized mean value of 3. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LS2 variable for this hypothesis had
a mean value of 3.6. It is concluded that the mean is greater than 3 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 3.4392
and 3.8733, and 95% confident that it is greater than 3.4392.
166
167
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LD1 variable for this hypothesis had
a mean value of 4.27. It is concluded that the mean is greater than 4 at the 0.05
level of significance.
CI: Quantifies the uncertainty associated with estimating the mean from sample
data. 90% confident that the true mean is between 4.1307 and 4.4093, and 95%
confident that it is greater than 4.1307.
168
169
A single sample t-test was conducted using a hypothesized mean value of 3. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LD2 variable for this hypothesis had
a mean value of 3.724. It is concluded that the mean is greater than 3 at the 0.05
level of significance.
CI: Quantifies the uncertainty associated with estimating the mean from sample
data. 90% confident that the true mean is between 3.5233 and 3.9257, and 95%
confident that it is greater than 3.5233.
170
171
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LD3 variable for this hypothesis had
a mean value of 4.17. It is concluded that the mean is greater than 3 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 4.0406
and 4.299, and 95% confident that it is greater than 4.0406.
172
173
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LD3 variable for this hypothesis had
a mean value of 4.05.There is not enough evidence to conclude that the mean
is greater than 4 at the 0.05 level of significance. Quantifies the uncertainty
associated with estimating the mean from sample data. 90% confident that
the true mean is between 3.8982 and 4.2018, and 95% confident that it is
greater than 3.8982.
174
175
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that LD3 variable for this hypothesis had
a mean value of 4.27.It is concluded that the mean is greater than 4 at the 0.05
level of significance. Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 4.1547
and 4.3853, and 95% confident that it is greater than 4.1547.
176
H02: The greater utilization of HRIS Forecasting Demand and Supply analysis
in an organization does not increase the efficiency and effectiveness of HR
planning.
H12: The greater utilization of HRIS Forecasting Demand and Supply analysis
in an organization increases the efficiency and effectiveness of HR planning.
H03: Succession planning of HRIS does not increase the efficiency and
effectiveness of HR planning of an organisation.
H13: Succession planning of HRIS increases the efficiency and effectiveness
of HR planning of an organisation.
The above Hypothesis is tested through t- test of LS1...LS3, LD1...LD3,
SP1...SP2; we conclude that
NULL Hypothesis is rejected and the alternative hypothesis is accepted. Mean
is greater than 4; 4 indicate agreed on likert scale which indicates that human
resource have significant relationship with effectiveness and efficiency in the
organisation.
177
7.7. c) Hypothesis testing of the variables C01, C02
H04: HRIS implementation is not the factor for effective communication in the
organisation
H14: HRIS implementation is the factor for effective communication in the
organisation.
178
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that CO1 variable for this hypothesis had
a mean value of 4.37. It is concluded that the mean is greater than 4 at the 0.05
level of significance.CI: Quantifies the uncertainty associated with estimating the
mean from sample data. 90% confident that the true mean is between 4.2627
and 4.4773, and 95% confident that it is greater than 4.2627.
179
180
A single sample t-test was conducted using a hypothesized mean value of 4. This
was because, respondents were asked to use a scale 1 to 5 in responding to the
question. The aim here was to compare the sample mean with the hypothesized
mean for probability estimation, that the sample mean is different by chance or
random occurrence. The t-test revealed that JA1 variable for this hypothesis had
a mean value of 3.16. There is not enough evidence to conclude that the mean
is greater than 4 at the 0.05 level of significance.CI: Quantifies the uncertainty
associated with estimating the mean from sample data. 90% confident that the
true mean is between 2.9672 and 3.355, and 95% confident that it is greater than
4.0406.
181
H04: HRIS implementation is not the factor for effective communication in the
organisation
H14: HRIS implementation is the factor for effective communication in the
organisation.
From the above t- test hypothesis test, we conclude that
NULL Hypothesis is rejected and the alternative hypothesis is accepted. Mean
is greater than 4; 4 indicate agreed on likert scale which indicates that
Communication (internal) have significant relationship with effectiveness and
efficiency in the organisation.
182
Comparative use of HRIS application in the organization
Figure 46: Use of HRIS application The study was done through questionnaire which was given to the sample
selected at Macleod‘s pharmaceutical ltd. The above pie chart shows the
comparative use of the three HRIS application which was selected for the
study. The best use is made from Human Resource Planning Application and
The Recruitment application of HRIS. Comparing to it communication
application is not use effectively and efficiently.
40%
40%
20%
Use of application in the organisation
HRP
RECURITMENT
CORPORATE COMMUNICATION
183
Figure 47: Using related to HR office hours
From the Questionnaire we have created this pie diagram which shows the
percentage of frequency of the usage of the HRIS by the employee of the
organization. 64% of the employee frequently uses the HRIS during office
hours.25% use no more than once every month and 11% have never used
the system which shows the system is not effectively use in the organization.
64%
25%
11%
Using related to HR during office hours
No more than several time a week
No more than once every month
Never use
184
Chapter 8
Findings Recommendations
Limitations of the Study
185
Chapter 8
Findings
This reduced data was further analyzed by applying t- test. Above graphical
analysis aim was to compare the sample mean with the hypothesized mean for
probability estimation, that the sample mean is different by chance or random
occurrence. Summary tables show the means and grand means of five factors
those were helpful to explain the direction and extent of difference of
perceptions of managers/employees in the organization.
Pattern of loadings showed that the respondents had given maximum
importance to the ―applications of HRIS in Human Resource Planning‖
followed by ―applications of HRIS in Recruitment management‖. The factor
named ―application of HRIS in Corporate Communication‖ was given the least
importance. Overall, respondents felt that applications of HRIS was highest in
factor ―Labour Supply‖ (x=4.46), followed by ―Job analysis‖ (x=4.31).
Past studies also revealed that the most frequent application of HRIS was in
employee records (Groe et al., 1996; Kinnie and Arthurs, 1996; Kovach and
Cathcart, 1999; Lin, 1997; Ngai and Wat, 2006;Ngai et al., 2008; Teo et al.,
2001), and next in pay roll service (Ball, 2001; Kinnie and Arthurs, 1996; Lin,
1997; Ngai and Wat, 2006; Teo et al., 2001). Further explained that HRIS was
also applied in ―corporate communication‖ (x=3.16).
186
Similar results were also found by other studies (CedarCrestone, 2006;
Richard-Carpenter, 1993; Ngai and Wat, 2006). In a recent study conducted
on applications of HRIS also confirmed that all these factors were used
moderately in organizations operating in India (Saharan and Jafri, 2012.
Recommendations
Research findings clearly show that HR executives are well aware that
they can increase the efficiency of HR planning through HRIS, saving
time and cost. However, findings do not support the premise that HRIS
increases the efficiency of HR planning other than in functional work
such as job analysis.
Organisations should identify the strategic value and competitive
advantage that they can gain through HRIS in HR planning. Strategic
planning linked with the HRIS can make the organization efficient for
merger, acquisition and takeover.
An effective HRIS solution coupled with a thoughtful succession
planning policy can rapidly boost your organizational performance
HRIS outcomes can be applied wherever possible as deemed fit by the
HR professionals, going by their experiences.
E-recruiting is not used fully since they have more faith in traditional
methods of recruiting.
187
Corporate Communication through HRIS could build up strong
organization culture, which has been least bother in the organization.
Human Resource Information System will help the organization in
building corporate image.
Limitations of the Study
The foremost research limitation is on the subject of the industry perspective.
The research study was restricted to those respondents who wish to respond
to the questionnaire; therefore future research might focus on a generously
proportioned sample of respondents, in order to validate the results of the
study.
Other limitation is the static nature of the study, that is, the study is based on
the existing scenario of the level and usage of HRIS; but HRIS can be
enhanced in future. Consequently, same research can be conducted in future
to know whether HRIS is improving with changing time or not.
Other limitation is that the questionnaire survey may endure with the reaction
bias.
188
Glossary
1. correlation analysis
A measure of the relationship or association between two continuous numeric
variables that indicates both the direction and degree to which they co-vary
with one another from case to case, without implying that one is causing the
other.
2. cross sectional study
Cross-sectional studies form a class of research methods that involve
observation of all of a population, or a representative subset, at one specific
point in time. .
3. Deductive Reasoning
Deductive reasoning, also deductive logic or logical deduction or, informally,
"top-down" logic, is the process of reasoning from one or more general
statements (premises) to reach a logically certain conclusion.
Deductive reasoning links premises with conclusions. If all premises are true,
the terms are clear, and the rules of deductive logic are followed, then the
conclusion reached is necessarily true.
189
4. Empirical research
Empirical research is a way of gaining knowledge by means of direct and
indirect observation or experience. Empirical evidence (the record of one's
direct observations or experiences) can be analyzed quantitatively or
qualitatively. Through quantifying the evidence or making sense of it in
qualitative form, a researcher can answer empirical questions, which should
be clearly defined and answerable with the evidence collected (usually called
data)
5. Effectiveness
The extent to which goals have been met.
6. Efficiency
The degree to which operations are done in an economical manner.
7. HRIS
A Human Resources Management System (HRMS) or Human Resources
Information System (HRIS), refers to the systems and processes at the
intersection between human resource management (HRM) and information
technology
8. Hypothesis
Hypothesis is propositions which can be put to test determine the validity.
Hypothesis is a suggested answer to the problem. It is an explanation needs
190
to be establishes before it can be accepted. If the hypothesis does not
provide approximate solution some alternative hypothesis must be
formulated. Hypothesis is highly useful although it may not be always
necessary.
9. Job Analysis
Job Analysis is a systematic exploration of the activities within a job. It
defines and documents the duties, responsibilities, and accountabilities of a
job and the conditions under which a job is performed
10. Job design
Job design is how a position and its tasks are organized.
11. Null Hypothesis and Alternate hypothesis
Null hypothesis represent a statement to be used to perform a statistical test
to prove to or disapprove the statement.
12. Probability sampling design
When elements in the population have a known chance of being chosen as
subjects in the sample, we resort to a probability sampling design (Sekaran,
2003).
13. Sampling
191
Sampling is a process of selecting certain items which are considered by the
researcher as true representatives of the population considered for the
research study.
14. Quota Sampling
Quota sampling involves the fication of certain quota which has to be fulfilled
by the interviewrs. It is best example of convenience sampling. Here,
research is given a quota of respondents with specific characteristic for
interview or information collection .Quota sampling is exposed to errors like
interview‘s preference, prejudice and his desire to simplify errors.
15. A longitudinal study
A correlational research study that involves repeated observations of the
same variables over long periods of time — often many decades. It is a type
of observational study.
16. MIS
A management information system (MIS) provides information that
organizations require to manage themselves efficiently and effectively.
17. Population
Population refers to the entire group of people, events, or things of interest
that the researcher wishes to investigate (Sekaran, 2003).
192
18. Qualitative and quantitative method
In new or underdeveloped areas, it is common to apply qualitative methods
in a preliminary stage, thus enabling the researcher to develop a conceptual
framework, to generate hypothesis, or to establish the necessary tools
(particularly instruments for measurement) for the quantitative study (Morgan
and Smircich, 1980).
19. Questionnaire
A questionnaire is a method for collecting primary data in which a sample of
respondents are asked a list of carefully structured questions chosen after
considerable testing, with a view to eliciting reliable responses (Collis and
Hussey, 2009).
20. Recruitment
Recruitment is the process of searching for prospective employees and
stimulating them to apply for the job in the organisation (Pattanayak, 2009).
21. A sample
Refers to a value or set of values at a point in time and/or space.
22. Succession planning
It is a process for identifying and developing internal people with the potential
to fill key business leadership positions in the company. Succession planning
193
increases the availability of experienced and capable employees that are
prepared to assume these roles as they become available.
Questionnaire
The purpose of this questionnaire is to obtain your views and opinions
on the role of HRIS (Human Resource Information System) in HR
Planning. Please select the response that you think is the most
appropriate to each statement
Organization:
Department Name:
Your Name
Date(s) of Assessment:
Using Computer related to HR during office hours
1 No more than several time a week
2 No more than once every month
194
3 Never use
PART A - HRIS Role in Recruitment
Statements
S
tro
ng
ly A
gre
e
Ag
ree
Neit
he
r A
gre
e n
or
Dis
ag
ree
Dis
ag
ree
Str
on
gly
Dis
ag
ree
Rem
ark
s
1) HRIS identifies unfilled positions
accurately.
2) HRIS help to reduce recruiting costs
3) HRIS evaluates the recruiting
processes effectively.
4) HRIS performs comprehensive
reporting and tracking of applicants
efficiently.
5) HRIS analyses each job position and its
job title in an organisation.
195
6) HRIS leverages employee‗s talent in
the right place at the right time.
7) HRIS maintains relationship with
individuals who register in a talent
warehouse.
8) HRIS eliminates unsuitable applicants
early and focuses on promising
candidates.
9) HRIS create ideal job description and
job specification
10) Organisation uses HRIS recruitment
subsystem at an optimum level
PART B - HRIS Role in HRP
Statements
Str
on
gly
Ag
ree
Ag
ree
N
eit
he
r A
gre
e
no
r D
isag
ree
Dis
ag
ree
Str
on
gly
D
isag
ree
Rem
ark
s
1. HRIS forecasts supply of human
resources.
2. HRIS constantly analyses and
matches the demand for human
resources.
3. HRIS manages internal
information within the organisation.
196
4. HRIS manages external
information outside the
organisation.
5. HRIS estimates future human
resources requirement of the
organisation.
6. HRIS identifies a logical
progression path and the steps
required for advancements.
7. Future supply and demand of labour can be forecast using What-If analysis function of HRIS.
8. Role of HRIS aligns with the
organisations HR Strategy.
9. HRIS ensures orgainsation has
right kind and numbers of
employees at right place at right
time.
10. HRIS have improved the
Accuracy of planning.
PART C - HRIS Role Corporate Communication - Internal Communication
Statements
Str
on
gly
Ag
ree
Ag
ree
N
eit
he
r A
gre
e n
or
Dis
ag
ree
Dis
ag
ree
Str
on
gly
Dis
ag
ree
Rem
ark
s
1. HRIS create environment of open communication between employees and management?
197
2. HRIS perceive the effectiveness and integrity of current communication culture
3. Employee submit feedback and suggested improvements to the HRIS
4. Automated leave management system help in smooth function of leave management
5. HRIS salary management system help in smooth function of payroll management
6. Salary slips can be generated from the HRIS of individual employee.
7. Experience letter and personal data can be generated from HRIS
8. HRIS create self service in the organization.
9 HRIS make employee aware of the new joined , Retirement , birthday that create friendly environment
10 System being self- service there has been very few interaction between HR and the Employee
198
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