Subash Chandra Nath 4007_23_02_10 AIMA

Embed Size (px)

Citation preview

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    1/16

    1

    BETTERWORK-LIFE BALANCE:ASTRATEGIC

    BUSINESS ISSUE

    Subash Chandra NathAssistant Professor - Marketing, Regional College of Management, Bhubaneswar

    Soumendra PatraAssistant Professor -Operations Management, Regional College of Management,

    Bhubaneswar

    Article No: 184 ISSN 0974 9497

    Year: February 2010 Volume 4, Issue 1/4

    Abstract: Companies that are bigger, more globalised and better managed provide a better work-

    life balance for their employees. It's all about moderation. However, in a world, in which technologies giveaccess around the clock, it is becoming increasingly difficult to maintain a work-life balance. People

    everywhere are beginning to realize that there is more to life than just work. Neglecting the personal life in

    favour of the work negatively affects not just the personal and family life, but the very work one thinks tosacrifice everything else for. The empirical basis of these claims is unclear. To address this issue we use an

    innovative survey tool to help organisations accommodate their employees work-life balance in a more

    efficient manner. The Better Work-Life Balance Survey was designed to be a diagnostic tool allowing

    organisations to reference themselves against a checklist. Organisations can utilize the survey to self-assess

    the extent to which they are accommodating employees work-life balance and to learn ways of improvingtheir workplace policies and practices.

    Keywords: Work-life balance, family-friendly work practices, management practices, productivity,competition.

    Introduction:

    Work-life balance is a broad conceptincluding proper prioritizing between

    career and ambition on one hand,

    compared with pleasure, leisure, familyand spiritual development on the other.

    It is about people having a measure of

    control over when, where and how theywork. It is achieved when an

    individuals right to a fulfilled life inside

    and outside paid work is accepted and

    respected as the norm, to the mutual benefit of the individual, business and

    society. Flexible working can help to

    reduce absenteeism and increase

    productivity, employee commitment andloyalty. At the same time, we find no

    evidence that firms with good practices

    on work-life balance shorter hours,flexible working, family-friendly

    policies, etc. have higher productivity

    once we control for better managementin general. The responsibility for

    ensuring that employees experience

    harmony between their work life and

    their lives outside work is a shared one.Individual employees can help to

    manage their own work-life balance by

    determining and recognizing their majorlife goals and priorities. Most people

    have goals related to their physical,emotional, social, mental and spiritual

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    2/16

    2

    lives. But, if they organize their lives

    around to do lists (or even worse,dont organize at all), many of these

    important priorities will be neglected.

    There is a lot that individuals can do to

    build time into their lives to ensure theimportant things dont get missed.

    Organizations all over the world are nowrealizing that the Work-Life Balance of

    their people is something that will play

    an important part in their long-termsuccess. Indian companies are also

    slowly waking up to this fact and are

    launching well-meaning initiatives toaddress it. The fact still remains, though,

    that most employees still experiencestress, overwork and burnout.

    Work Life Balance:

    Work Life Balance consists of the

    implementation of workingarrangements and policies, which assist

    workers in combining employment with

    other aspects of their lives. Employerscan benefit from these policies too as

    they can help to develop a morecommitted and productive workforce.

    Benefits to the individual

    More value and balance in your

    life

    Understanding your best work

    life balance

    Increased productivity

    Better relationship both on and

    off the job Reduced Stress

    Benefits to the organization

    Measured increase in productivity, accountability,

    commitment

    Better teamwork and

    communication

    Improved morale

    Less negative organizationalstress

    Objectives:1. To understand that the issue of

    work-life balance cannot solely

    be tackled through workshops, but requires a fundamental and

    systematic change in the work

    culture of the organization.

    2. To prevail workplace culturewith regards to work-life balance

    issues.

    3. To examine issues related toflexible work arrangements (e.g.

    job sharing, flexi-time); and

    additional work provisions.

    Scope of the study:The study was on work life balance inIndian Corporates. Here the interest was

    in finding out if there are particular areas

    relating to Work-Life Balance, thatcause problems and, if so, to consider

    what we may be able to make life easier.As the separation between work andhome life has diminished, this concept

    has become more relevant than ever

    before. To study the work life balance in

    Indian Corporates, one of the reputedsteel companies in Orissa, India was

    selected as the sample of study. The

    work culture, employees of different profiles - who maintain proper

    prioritizing between career and ambition

    on one hand, compared with pleasure,leisure, family at other hand and

    Employer employee relationships are

    some of the reasons behind the selection.

    Hypotheses formulation:Work life balance involves adjusting the

    working environment to enable a diverse

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    3/16

    3

    workforce to have a fulfilled life inside

    and outside paid work, which is acceptedand respected as the norm, to the mutual

    benefit of the individual, business,

    clients and society. The following

    hypotheses were framed for testing theabove statement with the help of

    appropriate statistical techniques.

    H1: The official work schedule does notinterfere with the personal and

    regular family schedule.

    H2: While in office familyresponsibilities do not interfere

    with regular work assignments.

    H3: Employees do enjoy all the benefits

    from the policies and practices for

    WLB given in the organization.

    H4: The Counseling process helps toreduce anxiety.

    H5: The culture & working condition of

    the organization is appreciated.

    H6: Increasing female participation inthe corporate world is worthy.

    H7: Health and other interests of theemployees are taken care of.

    H8: The global competition allows balancing the work and life

    effectively.

    H9: There is a belief that a balancework life has enabled to achieve

    motivation lead toperformance.

    Methodology Used:

    Data Collection: The studycomprises of both

    primary as well as

    secondary data.

    The primary datawere collected

    through structured

    questionnaire

    method and thesecondary data

    were collected

    through internetsources, books

    and journals, etc.

    Sampling: On a random

    basis, 34

    employees were being selected for

    the sample andspecial care was

    taken to cover theemployees of all

    age groups, all

    income types indifferent

    departments etc.

    And selecting thesample of

    employees therationality of

    different factors

    affecting work-life balance was

    taken into

    consideration.Research Tools used: Mostly to

    facilitate the data

    analysis; tools like

    percentage,averages were

    taken into account

    and to test thehypotheses and to

    measure the

    degree to which a

    series of observedfrequencies

    deviate from their

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    4/16

    4

    expected

    preferences,regression

    technique was

    used.

    Table 1: Demographic Characteristics of the Respondents

    Particulars No. of persons Percent Cumulative

    percent

    Age

    25 35

    35 45

    45 55

    Total

    16

    15

    3

    34

    47.10

    44.10

    8.80

    100

    47.10

    91.20

    100

    Sex

    MaleFemale

    Total

    340

    34

    1000

    100

    100100

    Marital status

    Married

    Unmarried

    Total

    9

    25

    34

    26.50

    73.50

    100

    26.50

    100

    Qualification

    ITI & Diploma

    B Tech

    GraduatePost Graduate

    Other Higher Degree

    Total

    1

    13

    411

    5

    34

    2.90

    38.20

    11.8032.40

    14.70

    100

    2.90

    41.20

    52.9085.30

    100

    Service tenure

    < 1 yr1 5 yr

    6 10 yr

    11 & above

    Total

    424

    2

    4

    34

    11.8070.60

    5.90

    11.80

    100

    11.8082.40

    88.20

    100

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    5/16

    5

    Analysis & Interpretation:A total of 34 respondents from the

    company were contacted for the study.The demographic characteristics of therespondents were shown in Table 1. As

    many as 100% of respondents were

    males. The respondents are well

    distributed among all age groups. If weconsider educations level, out of totalsamples 2.9% of population belongs to

    ITI and Diploma, 38.20% of the

    population belongs to B Tech level,

    graduate level is 11.80, Post graduate is

    32.40% and other higher degree is14.70% out of total sample. Out of total

    population, majority is unmarried i.e73.50% and married is, 26.50%.

    Maximum of the respondents i.e. around

    70.60% of the population belongs to 1 to5 year period of service.

    Validity and Reliability Assessment

    Reliability Analysis:

    The reliability of each scale was assed

    via item to total correlation ( a methodused to understand the reliability of a

    particular measure wherein the responses

    of individual item in the measure and the

    sum total of the responses of all theitems in the same measure are tested for

    correlation) and Cronbach coefficient

    alpha.. The results of the reliabilityanalysis are provided in Table 2.

    Table 2: Reliability Analysis

    Scale (S) Items Corrected item

    total

    correlation

    Cronbach'sAlpha

    Cronbach'sAlpha

    Official work in family (S1) QII 0.546 0.759 0.785

    1 0.637 0.753

    2 0.498 0.762

    3 0.511 0.762

    4 0.368 0.775

    5 -0.23 0.831

    6 -0.047 0.815

    7 0.547 0.758

    8 0.619 0.75

    9 0.544 0.758

    10 0.454 0.768

    11 0.358 0.776

    12 0.837 0.731

    Family work in office (S2) QIII 0.121 0.233 0.27

    1 0.12 0.252

    2 -0.091 0.341

    3 0.031 0.296

    4 0.197 0.153

    5 0.3 0.029

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    6/16

    6

    WLB Policies benefits (S3) QIV 0.432 0.432 0.702

    1 0.49 0.49

    2 0.036 0.036

    3 0.278 0.278

    4 0.249 0.249

    5 0.423 0.423

    6 0.355 0.355

    7 0.178 0.178

    8 0.628 0.628

    9 0.611 0.611

    counseling process anxiety

    (S4)

    Q V 0.341 0.443 0.534

    1 0.492 0.152

    2 0.233 0.586

    Culture & Working condition

    (S5)

    Q VI 0.536 0.795 0.814

    1 0.468 0.8

    2 0.635 0.784

    3 0.183 0.824

    4 0.413 0.804

    5 0.744 0.773

    6 0.588 0.79

    7 0.683 0.781

    8 0.561 0.793

    9 0.314 0.813

    10 0.377 0.807

    11 0.216 0.83

    Female participation (S6) Q

    VII

    0.319 0.606 0.603

    1 0.592 0.379

    2 0.631 0.38

    3 0.126 0.713

    Health & Other interest (S7) Q

    VIII

    0.408 0.848 0.839

    1 0.595 0.819

    2 0.752 0.784

    3 0.813 0.773

    4 0.613 0.818

    5 0.561 0.824

    Global competition with WLB

    (S8)

    Q IX -0.091 0.114 -0.063

    1 -0.012 -.094a

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    7/16

    7

    2 0.016 -.190a

    WLB with achievement (S9) Q X 0.486 0.648 0.705

    1 0.425 0.671

    2 0.471 0.653

    3 0.567 0.61

    4 0.368 0.696

    Scale 1

    In case of reliability measurement I have

    taken Cronbach's Alpha for testing thereliability. In case of scale I i.e. My

    official work schedule does not

    interfere with my personal and

    regular family schedule, cronbachs

    alpha value is coming 0.785, whichindicate that all the 12 variables are goodmeasurement for measuring the scale

    My official work schedule does not

    interfere with my personal and

    regular family schedule and all thevariables in this scale cronbachs alpha

    is more than 0.7. So each variable has

    influence upon the scale.

    Scale 2

    For measuring the scale measurementcronbachs alpha value is coming 0.27.

    So the variables taken for studying Scale2 is not too reliable for measuring -

    While in office my family

    responsibilities do not interfere my

    regular work"

    Among the variables Q-2 value is

    coming negative, which means this

    variable is not quite enough formeasuring the scale 2

    Scale 3

    For measuring the scale measurement

    cronbachs alpha value is coming 0.702.

    So this is reliable for measuring -I

    enjoy all the benefits from the policies

    and practices for WLB given in the

    organization. Here all the variables

    value is coming positive which means it

    is influenced by all the variables that we

    have taken for measurement.

    Scale 4

    For measuring the scale measurementcronbachs alpha value is coming0.534.

    So this is reliable for measuring -TheCounseling process helps to reduce

    anxietyHere all the variables value is

    coming positive which means it is

    influenced by all the variables that we

    have taken for measurement.

    Scale 5

    For measuring the scale measurementcronbachs alpha value is coming 0.814.

    So this is very good reliable for

    measuring -the culture & workingcondition of the organization isappreciatedHere all the variables valueis coming positive which means it is

    influenced by all the variables that we

    have taken for measurement.

    Scale 6

    For measuring the scale measurement

    cronbachs alpha value is coming 0.603.So this is reliable for measuring

    increasing female participation in thecorporate world is worthy. Here allthe variables value is coming positive

    which means it is influenced by all the

    variables that we have taken formeasurement.

    Scale 7

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    8/16

    8

    For measuring the scale measurement

    cronbachs alpha value is coming 0.839.So this is very good reliable for

    measuring Health and other interests

    Of the employees are taken care

    ofHere also all the variables value iscoming positive which means it is

    influenced by all the variables that we

    have taken for measurement.

    Scale 8

    For measuring the scale measurementcronbachs alpha value is coming -0.063.

    So this is not at all reliable for measuring

    the global competition allows me to

    balance my work and life

    effectivelyAlso variable 1 is comingnegative

    Scale 9

    For measuring the scale measurementcronbachs alpha value is coming 0.705.

    So this is reliable for measuring --Do

    you believe that your balance work

    life has enabled to achieve the

    followings. Here also all the variables

    value is coming positive which means itis influenced by all the variables that we

    have taken for measurement.

    Q-II Table 2: Regression Model I

    Model B R square value Significance

    Constants 0.587 0.678 0.555

    Q II.1 0.469 0.036

    Q II.2 0.106 0.438

    Q II.3 -0.313 0.111

    Q II.4 -0.112 0.499

    Q II.5 0.154 0.219

    Q II.6 -0.047 0.72

    Q II.7 0.317 0.075

    Q II.8 -0.242 0.216Q II.9 0.054 0.745

    Q II.10 -0.061 0.702

    Q II.11 0.134 0.47

    Q II.12 0.448 0.074

    Regression Model 1:

    The Regression Model for Hypothesis

    My official work schedule does not

    interfere with my personal and

    regular family schedule

    Y=0.587+0.469 x Q1+0.106 xQ2 -0.313xQ3-0.112xQ4-0.154xQ50.-

    0.047xQ6+0.317xQ7-0.242*Q8+0.054*Q9-0.061*Q10+0.134*Q11+0.448*Q12

    This model represents for measuring thescale (My official work schedule does

    not interfere with my personal and

    regular family schedule) in work life balance . The model R- square value is

    0.678, which indicate the dependant

    variable influenced by independent

    variable of 67.8%.

    Looking after the significant value i.e.constant is 0.555 which is greater than P-

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    9/16

    9

    value of 5% level of significance that

    means the hypothesis My official work

    schedule does not interfere with my

    personal and regular family schedule

    which hold good i.e. hypothesis is

    accepted

    Each variable of the model I is

    significant for testing the scale reliabilityof My official work schedule does not

    interfere with my personal and

    regular family schedule. But one

    variable i.e. Q1, significance value isless than 0.05. So all the variable is

    influencing the model I except Q1.

    Q III Table 3: Regression Model II

    Model B R square value Significance

    (Constant) 1.783 0.056 0.46

    Q III.1 0.169 0.715

    Q III.2 0.352 0.278

    Q III.3 -0.098 0.66

    Q III.4 0.051 0.777

    Q III.5 0.066 0.719

    Regression Model 2:

    The Regression Model for Hypothesis -

    While in office my family

    responsibilities do not interfere my

    regular work"

    Y=1.783+0.169 x Q1+0.352 x Q2-0.098 x Q3+0.051 x Q4+0.066 x Q5

    This model represents for measuring the

    scaleII- While in office my family

    responsibilities do not interfere myregular work in work life balance. The

    model R- square value is 0.056, whichindicate the dependant variable

    influenced by independent variable of

    5.6%

    Looking after the significant value i.e.

    constant is 0.46 which is greater than P-value of 5% level of significance that

    means the hypothesis While in office

    my family responsibilities do not

    interfere my regular workwhich holdgood i.e. hypothesis is accepted

    Each variable of the model I is

    significant for testing the scale reliability

    of While in office my family

    responsibilities do not interfere my

    regular work i.e. the significant value

    of all the variables are greater than P-value of 5% level of significance

    Q IV Table 4: Regression Model III

    Model B R square value Significance

    (Constant) 0.231 0.631 0.801

    Q IV.1 0.391 0.008

    Q IV.2 -0.193 0.115

    Q IV.3 -0.095 0.498

    Q IV.4 0.173 0.192

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    10/16

    10

    Q IV.5 0.426 0.024

    Q IV.6 0.134 0.387

    Q IV.7 0.359 0.036

    Q IV.8 0.145 0.348

    Q IV.9 -0.385 0.042

    Regression Model 3:

    The Regression Model for Hypothesis -

    I enjoy all the benefits from the

    policies and practices for WLB given

    in the organization

    Y=0.231+0.391 x Q IV.1+-0.193 x Q IV.2-0.095 x Q IV.3+0.173 x Q IV.4+0.426 x Q

    IV.5+0.134 x Q IV.6+0.359 x Q IV.7 +0.145 x Q IV.8-0.385 x Q IV.9

    This model represents for measuring the

    scale III - I enjoy all the benefits fromthe policies and practices for WLBgiven in the organization in work life

    balance. The model R- square value is

    0.631 which indicate the dependantvariable influenced by independent

    variable of 63.1%.

    Looking after the significant value i.e.

    constant is 0.231 which is greater than P-

    value of 5% level of significance thatmeans the hypothesis I enjoy all the

    benefits from the policies and

    practices for WLB given in the

    organization which hold good i.e.

    hypothesis is acceptedHere in this case 4 variables are notsignificant for testing the scale reliability

    I enjoy all the benefits from the

    policies and practices for WLB given

    in the organization, while 5 variables

    are significant because their significant

    values are greater than P- value of 5%level of significance. So the 4 variables

    can not be considered in measuring

    WLB. The variables are Q IV.1,Q

    IV.5,Q IV.7,Q IV.9 Which can not beconsidered.

    Q V Table 5: Regression Model IV

    Model B R square value Significance

    (Constant) 2.507 0.175 0.004

    Q V.1 0.396 0.018

    Q V.2 -0.056 0.8

    Regression Model 4:

    The Regression Model for Hypothesis -

    The Counseling process helps to

    reduce anxiety

    Y=2.507+0.396 x Q V.1-0.056 x Q V.2

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    11/16

    11

    This model represents for measuring the

    scale IV -Counseling process helps to

    reduce anxiety in work life balance.

    The model R- square value is 0.175,

    which indicate the dependant variable

    influenced by independent variable of17.5 %.

    Looking after the significant value i.e.

    constant is 0.004 which is less than P-

    value of 5% level of significance that

    means the hypothesis I enjoy all the

    benefits from the policies and

    practices for WLB given in the

    organization which does not hold good

    i.e. hypothesis is rejected.

    So this hypothesis cannot be consideredto determine WLB in this organization

    VI Table 6: Regression Model V

    Model B R square value Significance

    (Constant) 1.294 0.697 0.137

    Q VI.1 -0.111 0.404

    Q VI.2 0.258 0.108Q VI.3 0.08 0.572

    Q VI.4 -0.235 0.159

    Q VI.5 0.055 0.784

    Q VI.6 -0.183 0.331

    Q VI.7 0.694 0.003

    Q VI.8 0.021 0.917

    Q VI.9 -0.18 0.248

    Q VI.10 0.144 0.387

    Q VI.11 0.094 0.363

    Regression Model 5:

    The Regression Model for Hypothesis -

    the culture & working condition of the

    organization is appreciated

    Y=1.294-0.111 x Q VI.1+0.258 x Q VI.2+0.08 xQ VI.3-0.235 xQ VI.4+0.055 x Q VI.5-

    0.183 x Q VI.6+0.694 x Q VI.7+0.021 x Q VI.8-0.18 x Q VI.9+0.144 x Q VI.10+0.094

    x Q VI.11

    This model represents for measuring the

    scale V -- the culture & working

    condition of the organization is

    appreciated in work life balance. Themodel R- square value is 0.697 which

    indicate the dependant variable

    influenced by independent variable of

    69.7%.

    Looking after the significant value i.e.

    constant is 0.137 which is greater than P-

    value of 5% level of significance thatmeans the hypothesis -- the culture &

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    12/16

    12

    working condition of the organization

    is appreciated which holds good i.e.hypothesis is accepted

    Each variable of the model V issignificant for testing the scale reliability

    of --the culture & working condition

    of the organization is appreciated.

    But one variable i.e. Q VI.7, significance

    value is less than 0.05. So all thevariable is influencing the model V

    except Q VI.7. So it can not be

    considered for measuring work life

    balance.

    Q VII Table 7: Regression Model VI

    Model B R square value Significance

    (Constant) 1.56 0.16 0.197

    Q VII.1 0.404 0.256

    Q VII.2 0.177 0.662

    Q VII.3 -0.054 0.799

    Regression Model 6:

    The Regression Model for Hypothesis

    increasing female participation in the

    corporate world is worthy

    Y=1.56+0.404 x Q VII.1+0.177 x Q VII.2-0.054 x Q VII.3

    This model represents for measuring the

    scale VI- Increasing female

    participation in the corporate world is

    worthy in work life balance. The modelR- square value is 0.16 which indicatethe dependant variable influenced by

    independent variable of 16% .

    Looking after the significant value i.e.

    constant is 0.197 which is greater than P-

    value of 5% level of significance that

    means the hypothesis -- female

    participation in the corporate world is

    worthy which holds good i.e. hypothesisis accepted

    Each variable of the model VI is

    significant for testing the scale reliabilityof female participation in thecorporate world is worthy. .

    Q VIII Table 8: Regression Model VII

    Model B R square value Significance

    (Constant) 1.953 0.335 0.004

    Q VIII.1 0.249 0.278Q VIII.2 -0.246 0.32

    Q VIII.3 0.679 0.012

    Q VIII.4 -0.236 0.117

    Q VIII.5 0.098 0.498

    Regression Model 7:

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    13/16

    13

    The Regression Model for Hypothesis

    Health and other interests Of the

    employees are taken care of

    Y=1.953+0.249 x Q VIII.1-0.246 x Q VIII.2+0.679 x Q VIII.3-0.236 x Q

    VIII.4+0.098 x Q VIII.5

    This model represents for measuring thescale VII - Health and other interestsOf the employees are taken care of in

    work life balance. The model R- squarevalue is 0.335 which indicate the

    dependant variable influenced by

    independent variable of 33.5%

    Looking after the significant value i.e.

    constant is 0.004 which is less than P-

    value of 5% level of significance thatmeans the hypothesis Health and other

    interests Of the employees are taken

    care of which does not hold good i.e.hypothesis is rejected.

    So this hypothesis can not be considered

    ti determine WLB in this organization

    Q IX Table 9: Regression Model VIII

    Model B R square value Significance(Constant) 3.98 0.009 0

    Q IX.1 -0.075 0.639

    QIX.2 -0.035 0.824

    Regression Model 7:

    The Regression Model for Hypothesis

    the global competition allows me to

    balance my work and life effectively.

    Y=3.98-0.075 x Q IX.1-0.035 x QIX.2

    This model represents for measuring the

    scale VIIi - the global competition

    allows me to balance my work and life

    effectively. in work life balance. The

    model R- square value is 0.009 which

    indicate the dependant variableinfluenced by independent variable of

    0.9%

    Looking after the significant value i.e.constant is 0 which is less than P- value

    of 5% level of significance that means

    the hypothesis the global competition

    allows me to balance my work and life

    effectively. i.e. hypothesis is rejected.

    So this hypothesis can not be considered

    ti determine WLB in this organization

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    14/16

    14

    Q X Table 10: Regression Model IX

    Model B R square value Significance

    (Constant) 0.852 0.379 0.33

    Q X.1 0.45 0.007

    Q X.2 0.259 0.144

    Q X.3 -0.187 0.336

    Q X.4 0.256 0.097

    Regression Model 9:

    The Regression Model for Hypothesis

    Do you believe that your balance

    work life has enabled to achieve the

    followings.

    Y=0.852+0.45 x Q X.1+0.259 x Q X.2-0.187 x Q X.3+0.256 x Q X.4

    This model represents for measuring the

    scale IX- Do you believe that your

    balance work life has enabled to

    achieve the followings in work life

    balance. The model R- square value is

    0.379 which indicate the dependantvariable influenced by independent

    variable of 37.9%.

    Looking after the significant value i.e.

    constant is 0.33 which is greater than P-value of 5% level of significance that

    means the hypothesis -- Do you believe

    that your balance work life has

    enabled to achieve the followings -

    which holds good i.e. hypothesis is

    accepted

    Each variable of the model IX issignificant for testing the scale reliability

    of -- Do you believe that your balance

    work life has enabled to achieve the

    followings. But one variable i.e. Q X.1,

    significance value is less than 0.007. So

    all the variable is influencing the modelIX except Q X.1. so it can not be

    considered for measuring work lifebalance

    Hypothesis Independent

    Variable

    P Value Hypothesis

    Supported

    H1 Q II 0.432 YES

    H2 Q III 0.242 YES

    H3 Q IV 0.183 YES

    H4 Q V 0.469 YESH5 Q VI 0.173 YES

    H6 Q VII 0.354 YES

    H7 Q VIII 0.588 YES

    H8 Q IX 0.528 YES

    H9 Q X 0.387 YES

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    15/16

    15

    Here all the P value of the Independent

    variable (Hypothesis) is greater than the0.05. so all the hypothesis are taken into

    consider for measuring the Work Life

    Balance of a Particular Organization.

    Conclusion:

    Achieving a good balance between workand family commitments is a growing

    concern for contemporary employees

    and organisations. There is now

    mounting evidence-linking worklifeimbalance to reduced health and

    wellbeing among individuals and

    families. It is not surprising then thatthere is increasing interest among

    organisational stakeholders (e.g. CEOs,

    HR directors) for introducing worklifebalance policies in their organisations.

    Over the past twenty-five years, there

    has been a substantial increase in work,which is felt to be due, in part, by

    information technology and by an

    intense, competitive work environment.

    Long-term loyalty and a "sense ofcorporate community" have been eroded

    by a performance culture that expects

    more and more from their employees yetoffers little security in return.

    Many experts predicted that technology

    would eliminate most household chores

    and provide people with much more time

    to enjoy leisure activities; but manyignore this option, encouraged by

    prevailing consumerist culture and a

    political agenda that has "elevated thework ethic to unprecedented heights and

    thereby reinforced the low value and

    worth attached to parenting.

    References:1. Journal of Management & Organization (2008) 14: 224226.2. Kossek, E. E., & Ozeki, C. (1999). Bridging the workfamily policy and

    productivity gap: A literature review. Community, Work & Family, 2(1), 7-32.3. Barrah, J. Shultz, K., Baltes, B. & Stolz, H. (2004). Men's and women's eldercare-

    based work-family conflict: Antecedents and work-related outcomes. Fathering,

    2(3), 305-330.

    4. Byron, K. (2005). A meta-analytic review of work-family conflict and itsantecedents. Journal of Vocational Behavior, 67(2), 169-198.

    5. Clarke, M. C., Koch, L. C., & Hill, E. J. (2004). The Work-Family Interface:Differentiating Balance and Fit. Family & Consumer Sciences Research Journal,

    33(2), 121-140.

    6. Foley, S., Hang-Yue, N., & Lui, S. (2005). The Effects of Work Stressors,Perceived Organizational Support, and Gender on Work-Family Conflict in Hong

    Kong. Asia Pacific Journal of Management, 22(3), 237-256.

    7. http://cep.lse.ac.uk/management/worklifebalance_research.pdf

  • 8/8/2019 Subash Chandra Nath 4007_23_02_10 AIMA

    16/16

    16

    8. Gray, M., and Tudball, J. (2003). Family-Friendly Work Practices: Differenceswithin and between Workplaces. Journal of Industrial Relations, 45, pp. 269-

    291.

    9. Konrad, A. and Mangel, R. (2000). The Impact of Work-Life Programs on FirmProductivity. Strategic Management Journal, 21, pp. 1225-1237.

    10.Thomas Kalliath, Australian National University & Paula Brough, GriffithUniversity Volume 14, Issue 3, July 2008 JOURNAL OF MANAGEMENT &

    ORGANIZATION

    11.Work-Life Balance, Management Practices and Productivity: Nick Bloom1,Tobias Kretschmer2 and John Van Reenen3

    12. Milliken, F., Martins, L., and Morgan, H. (1998). Explaining OrganizationalResponsiveness to Work-Family Issues: The Role of Human Resource Executives

    as Issue Interpreters. Academy of Management Journal, 41, pp. 580-592.

    13.Konrad, A. and Mangel, R. (2000). The Impact of Work-Life Programs on FirmProductivity. Strategic Management Journal, 21, pp. 1225-1237.

    14. Arthur, M. (2003). Share Price Reactions to Work-Family Initiatives: AnInstitutional Perspective. Academy of Management Journal, 46, pp. 497-505.

    15.Worklifebalance.com