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    The Link between Perception of BSC Implementation and Corporate Strategy andIts Impact on Performance: A Contingency Approach

    Majidul Islam, Ph.D., CGA*Associate Professor

    Department of AccountancyJohn Molson School of Business

    Concordia UniversityMontreal, Canada H3G 1M8

    514-848-2424/Ext: 2235

    Email: [email protected]

    I acknowledge gratefully the funding from the SAP-CAAA Research Grant program I appreciate very much the comments by Emilio Boulianne of Concordia University and

    Zahirul Hoque of La Trobe University on an earlier draft of the paper.

    This is a preliminary version of the paper.Please do not quote or reproduce without

    permission of the author.

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    mailto:[email protected]:[email protected]
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    The Link between Perception of BSC Implementation and Corporate Strategy andIts Impact on Performance: A Contingency Approach

    ABSTRACT: Behavioral aspects and positive attitudes toward the balanced scorecard (BSC)

    could be a determinant factor in the success of BSC implementation. In the study we use the

    contingency theory framework to examine whether adopting a planned strategy improves

    employees buying into the BSC and helps to maximize the benefits of BSC implementation by

    enhancing corporate performance. We hypothesize that employees attitudes and perceptions

    towards the implementation of the BSC is contingent upon the type of strategy the firm is

    employing and the suitability of deploying the BSC with this strategy in place. We use a path

    model that draws an association between the firms strategy and employee attitudes towards BSC

    implementation and employs OLS regression to test the association between the variables. We also

    examine whether employees positive attitudes help to improve a firms performance as proxied by

    the customer, internal processes, learning and innovation, and financial perspectives of the BSC.

    We sent a mail survey to Canadian and US firms to collect the necessary data in order to conduct

    this study.

    Conforming to our expectations, we found that firms that carefully planned their strategic

    objectives were more likely to have a positive impact on their employees perception of the BSC.

    A deliberate strategyor planned strategyas defined by is associated with higher levels of BSC

    awareness, perceptions of BSC ease of use, perceptions of BSC usefulness, and intentions to use

    the BSC. We also found that higher perceptions of BSC ease of use were positively associated with

    aspects of a firms performance, such as from the customer, internal processes, and learning and

    innovation perspectives. Hence, we conclude that firms implementing the BSC need to take into

    consideration that the successful implementation of the BSC requires careful planning to ensure

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    that the firms strategic objectives are well formulated, in agreement with BSC measures, and

    effectively communicated to BSC users.

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    1. INTRODUCTION

    Since Kaplan and Norton (1992) developed the balanced scorecard (BSC) for performance

    and strategic management, the tool has gained prominence in industry and academic research. The

    BSC relies on the interaction and the complementarities between four aspects of the firm

    financial, customer, internal business, and innovation and learning perspectivesin order to drive

    the firms future financial success in a sustainable manner. There is some empirical evidence that

    firms who have implemented the BSC have achieved some form of success and enhanced financial

    performance . Nevertheless, the difficulty in implementing the BSC has impeded companies, on

    numerous occasions, from achieving the desired results . Also, it has been claimed that the

    widespread adoption of nonfinancial measures is generally based on the idea that financial

    measures are characterized by being narrow in focus and historical is nature and may be

    aggregated and too unidimensional to be useful (e.g., Ittner et al., 2003; Lau and Sholihin, 2005;

    DeBusk et al., Budde, 2007). Van der Stede et al. (2006) emphasized that performance measures

    play a very important role in translating an organizations strategy into desired organizational

    behaviours and consequent results, as well as in helping to communicate expectations, monitor

    progress, provide feedback, and on the other hand, motivate employees who would be under the

    BSC control system through performance-based rewards. The normative approach advocates that a

    blend of measures drawn from the four scorecard perspectives would contribute towards

    organizational performance (Kaplan and Norton, 1992, 1996). The technology acceptance model

    (TAM) (Davis, 1989; Davis et al., 1989) examines employees behavioural issues and shows that

    positive perceptions of the technologys ease of use and usefulness increases employees liking of

    the technology and the likelihood that employees would use that technology. However, there is a

    lack of evidence that shows that overcoming these behavioural issues would have a positive impact

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    on performance (Chenhall, 2003). This study aims at filling that gap in the literature by examining

    the link between employee acceptance of the BSC and firm performance.

    emphasized the linkage between the different measurements of the BSC and the firms

    strategy to promote the non-financial measures from a strategic operational point of view. In other

    words, the mapping between the BSC and the firms strategy is fundamental for a successful

    implementation. This means that a planned strategy that incorporates BSC measurescustomer,

    internal business, and learning and innovation perspectivesis fundamental, since it ensures that

    BSC objectives are well communicated to employees and guarantees their buy into the system.

    Therefore, we believe that the success of deploying the BSC relies on the firms ability to

    positively affect employees attitudes towards the BSC, which is contingent upon the type of

    strategy the firm is employing and the suitability of deploying the BSC while this type of strategy

    is in place.

    However, the mapping between the BSC and strategy does not guarantee enhanced

    performance, since other variables might also affect the usage of the BSC, such as competition or

    cost structure . Therefore, in order to ensure a successful implementation, the firm also needs to

    manage a fit between BSC usage and other internal and external variables. A critical issue is

    whether score-based measures linked to the four perspectives can contribute to performance when

    there is a corporate strategy that acclimatizes organizational performance. To the best of our

    knowledge, this has not been examined in the management accounting literature. This study would

    like to contribute to the literature by examining the link between BSC implementation and

    corporate strategy and its impact on performance.

    In this study, we first examine the effect of mapping between the firms strategy and the

    balanced scorecard on employees acceptance of the BSC as a management control system. We

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    hypothesize that firms that employ a planned strategy are more suitable to deploy the BSC, since a

    planned strategy insures that BSC objectives are well communicated to employees, which

    positively affects their attitudes towards the BSC. We also examine whether employee acceptance

    of the BSC would lead to improved performance; a model is presented in Figure 1. We study a

    sample of firms who implemented the BSC and assess the impact of having a deliberate strategy

    on employee attitudes and behaviours towards the implementation of the BSC. We hypothesize

    that a deliberate strategy that ensures proper implementation of the BSC will positively influence

    employees attitudes towards BSC implementation, which will consequently have a positive

    impact on firm performance.

    The findings of this study would help explain and predict the likelihood that BSC

    implementation would lead to improved performance. We also believe that this study provides a

    validation to the TAM, as it shows that the behavioural aspect is an important factor in BSC

    implementation, since it has an impact on performance. Further, it could also provide guidance to

    firms on how they could make the most of BSC usage and maximize its expected benefits.

    Section 2 provides a review of the literature and hypothesis development. Section 3

    includes the sample description and the methodology used for our analysis. Section 4 is a

    discussion of the research findings. Finally, the conclusion and research limitation are presented in

    section 5.

    2. THEORY AND HYPOHESES

    The use of the BSC as a management control system is not a blueprint for success, since

    different firms operate under different levels of uncertainty. The ability of the BSC to respond to

    the firms level of uncertainty determines the success of the BSC as a management control system.

    In order to respond to uncertainty, the contingency theory framework predicts that control systems

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    would lead to improved performance if they acted in concurrence with other factors of the firms

    internal and external environment (Hayes, 1977; Hirst, 1983; Govindarajan, 1984; Govindarajan,

    1988). For one thing, Govindarajan (1988) found that firms that employed a differentiation

    strategy achieved more success when they put less emphasis on meeting budgetary conditions in

    comparison with firms that employed a low-cost strategy. In brief, mapping between the firms

    strategyas well as other internal and external factorsand the control system used by the firm is

    essential for a successful deployment of the control system.

    Further, human resources factors have been cited as a major factor in the failure to deploy

    management control systems (Chen and Jones, 2009; Johanson et al., 2006). The disengagement

    between the firms strategy and the BSC might lead to lower levels of acceptance of the control

    system, which harms rather than benefits performance. In this paper, we study this relationship

    between the firms strategy, employee attitudes towards BSC implementation, and performance,

    using a sample of firms who implemented the BSC as a tool for management control.

    Employees attitudes towards balanced scorecard implementation and the firms performance

    There have been many cases where firms have failed to put the BSC into operation, and

    academic research has attempted to explore the factors behind failures . In a survey of 96 MBA

    students, highlighted the importance of employee buy-into the BSC in order for the firm to

    derive the expected benefits from implementation. They have found that the disengagement

    between employees goals and those of the BSCin other words, goals set by their managersis

    the reason for employee dissatisfaction. Further, they also found that BSC measures and benefits

    are not well communicated to employees. criticize companies for employing a top-down approach

    in BSC implementation that does not allow employee participation in the process. Therefore,

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    employee involvement and attitude towards the BSC are major success factors of BSC

    implementation.

    Islam and Kellermanns (2006) examined an individual-level model similar to the TAM

    developed by Davies (1989) that embraced behavioural issues that could enhance or impede BSC

    usage inside the firm. They examined the association between four different factors and found that

    employee awareness of the BSC capabilities led to a better perception of the BSCs ease of use and

    usefulness. Further, perception about the BSCs ease of use was also associated with positive

    perception of the BSCs usefulness. Finally, perception of the BSCs usefulness among employees

    led to greater intention to use the BSC as a management control tool. Whether the findings of have

    an impact on firm performance remains unknown.

    Based on contingency theory framework, Chenhall (2003) predicted that positive

    perceptions about the ease of use and usefulness of a management control system would lead to

    better usage of the system, which would accordingly improve performance. Hence, we hypothesize

    that the four behavioural issues examined by would influence firm performance following the

    implementation of the BSC.

    H1: Awareness of BSC capabilities is positively associated with firm performance.

    H1a: Perception of BSC ease of use is positively associated with firm performance.

    H1b: Perception of BSC usefulness is positively associated with firm performance.

    H1c: Intention to use the BSC is positively associated with firm performance.

    Strategy and employees attitudes towards balanced scorecard implementation

    The association of management control systems with the companys strategy is well

    documented in literature . In this reciprocal relationship, the firms strategy helps to define the type

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    of control system required by the firm . In return, the control system provides the companys

    management team with the necessary support for strategy realization.

    Strategy is quite an abstruse term that many scholars have attempted to define. According

    to , strategy goes through two phases: formulation and realization. He suggested that not every

    formulated strategy ends up being implemented. On the other hand, a firm might realize a strategy

    that results from regular daily operating decisions that end up building the firms strategy, which

    he called emergent strategy. defined three types of firm strategies: a firm could use a defender,

    prospector, or analyzer strategy. A defender strategy is based on maintaining stability through

    continuous improvement of current products or services. Meanwhile, a prospector strategy is built

    around a dynamic environment that favours innovation. The analyzer strategy falls halfway on the

    defender-prospector spectrum. Similarly, has also defined three types of strategies: cost

    leadership, differentiation, and focus.

    Despite the differences, there is common ground between these definitions. According to ,

    a defender strategy and a cost leadership strategy require a high level of planning with structured

    and detailed control systems in order to achieve results. This draws a parallel with Mintzbergs

    (1978) definition of deliberate strategy, a strategy that goes from a careful phase of formulation

    into the implementation phase. Alternatively, claimed that prospector and differentiation adopter

    firms prefer more flexibility and less formal control systems, as mandated by the dynamic

    environment in which they operate. These types of firms may adopt an emergent strategy as

    defined by , where the realized strategy is a result of the decisions made in response the changes in

    the environment rather than a pre-planned process.

    We suggest that firms adopting a deliberate strategy are more inclined to adopt a structured

    management control system, including one such as the BSC. These firms would carefully plan the

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    implementation of the balanced scorecard and ensure that the four elementscustomer, financial,

    internal business, learning and innovationwere well embedded into the firms strategy. Further,

    they would ensure that objectives were carefully communicated to employees. Hence, we

    hypothesize that a deliberate strategy is positively associated with the four factors of BSC

    implementation.

    H2: A deliberate strategy is positively associated with awareness of BSC capabilities.

    H2a: A deliberate strategy is positively associated with perception of BSC ease of use.

    H2b: A deliberate strategy is positively associated with perception of BSC usefulness.

    H2c: A deliberate strategy is positively associated with the intention to use the BSC.

    Alternatively, firms following emergent strategies might have their objectives changing

    constantly. If these firms adopted the BSC, they would find that they had difficulty in embedding

    the four perspectives of the BSC into their strategy, since the strategy is continuously evolving.

    Therefore, firms would not be able to rely on pre-defined measures of financial, customer, learning

    and innovation, and internal processes, since their emergent strategies would require these

    measures to evolve continually. Consequently, confusion could be created among the users of the

    BSC and negatively affect their perception about the tool. Therefore, we hypothesize that an

    emergent strategy is negatively associated with the four factors of BSC implementation.

    H3: An emergent strategy is negatively associated with awareness of BSC capabilities.

    H3a: An emergent strategy is negatively associated with perception of BSC ease of use.

    H3b: An emergent strategy is negatively associated with perception of BSC usefulness.

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    H3c: An emergent strategy is negatively associated with the intention to use the BSC.

    Control variables

    Govindarajan and Gupta (1985) suggested that a good mapping between the elements of

    the firms external environment, the firms strategy, and its choice of control system would result

    in better corporate performance. It is well documented that external variables are determinants of

    the firms strategy; furthermore, there is also evidence that external variables would affect the

    choice of the management control system. found that operating in a market characterized by

    strong competition increased the need for formal control systems. Therefore, we believe that

    external variables would affect the firms strategy as well as the choice and implementation of the

    management control system.

    Some internal characteristics of firms play a significant role in BSC implementation. For

    example, found that differences existed between BSC adopters and non-adopters in terms of

    information capital. They claimed that BSC adopters had more developed information systems that

    enabled firms to process information in real time; thus, the adoption process was facilitated.

    Further, information capital is part of the learning and growth perspective as defined by Kaplan

    and Norton (1992), and an association between BSC objectives and strategy means that the firms

    information system could be also a determinant of the firms strategy. Therefore, it is necessary to

    control for some of the firms internal characteristics, since they might play a role in determining

    the firms strategic choices and BSC implementation factors.

    3. METHOD

    Sample selection

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    We collected data for this study by surveying individuals in management teams in

    American and Canadian companies. The list of companies was obtained using the Dunn and

    Bradstreet database. We sent the survey questionnaires to 800 companies by mail in November

    2008. We followed up with phone calls two weeks after the mailing date. The survey consisted of

    questions about the firms internal processes, external environment, strategy, balanced scorecard

    perceptions, and corporate performance. In most of the questions, the respondent showed his level

    of agreement with the subject by using a seven-point Likert-scale. See Table 1 for details. The

    survey ensured that all respondents were kept anonymous.

    We received 91 responses, representing an 11.4% response rate. Of the responses, 63

    indicated that they had used the balanced scorecard. The main reason for the low response rate was

    that the firms management was busy managing the economic depression at the end of 2008. Other

    reasons for not answering the survey included company policy on not responding to surveys and

    the unavailability of the contact person.

    Definition of variables

    Table 1 shows the measures that we used to proxy for the different variables employed in

    this study.

    Corporate performance: We used a large number of indicators to proxy for firm performance.

    Since these indicators could be linked together, we employed factor analysis to reduce the number

    of indicators for performance. The study examined the four dimensions of performance as

    described by : financial, customer, internal business, and innovation and learning. Measures of

    firm performance are presented in Table 1.

    BSC implementation factors: As was previously mentioned, we adopted the four measures

    developed by to proxy for the different behavioural factors affecting the implementation of the

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    BSC. These factors were awareness of BSC capabilities, perceptions of BSC ease of use,

    perceptions of BSC usefulness, and intentions to use the BSC. Measures of BSC implementation

    factors are presented in Table 1.

    Firm strategy: We examined one characteristic of firm strategy as defined by Mintzberg (1978):

    whether the firms realized strategy was a result of a pre-formulated strategy (i.e., deliberate

    strategy) or whether it was an outcome of a management decision-making process in response to a

    changing environment (emergent strategy). The survey asked the respondents to describe whether

    the firms strategy was planned in advance or whether it was formulated over time. Measures of

    the firms strategy are presented in Table 1.

    Internal factors: We examined the firms capabilities and characteristics such as the extent of use

    of information systems, productivity, employee retention, product development, and market

    performance.

    External factors: In terms of external factors, we examined the level of competition in the firms

    market, legal environment, changes in consumer demands, and product life cycle.

    Tests

    We performed OLS regression to test the relation between the variables, as indicated in

    Figure 1.

    4. RESULTS

    Table 2 summarizes the results of the factor analysis that was performed to define the

    different constructs of BSC awareness, perception of BSC ease of use, perception of BSC

    usefulness, intention to use BSC, strategy, financial perspective, customer perspective, internal

    business perspective, and innovation and learning perspective. Table 1 shows the definition we

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    employed for the internal and external characteristics of the firm. For the internal characteristics

    we asked the respondents to report on the emphasis placed by their firm on the introduction of new

    products, gain of market share, productivity, and employee retention. We also assessed the firms

    information system capabilities and controlled for firm size. As for the external environment in

    which the firm was operating, we asked the respondents to assess changes in product,

    manufacturing, and information technologies and product life cycle. We also asked them to assess

    the threats made by changes in customer preferences and the legal, political, and social

    environment. Table 3 presents the Pearson Correlation between the different variables.

    It should be mentioned that the customer perspective reported in Table 2 had two

    components. The first component was associated with the introduction of new products; hence, it

    is called New Products. The second factor, called Customer Satisfaction, was related to

    customer satisfaction measures and product quality. The strategy construct also had two

    components. The first component reported in Table 2 loads positively on measures of Deliberate

    Strategy and loads negatively on measures of Emergent Strategy. The second component

    loaded on one measure of Emergent Strategy. We retained the first component, since it provides

    an explanation for 43% of the variation in strategy measures and since the interpretation of that

    component is in agreement with our expectations. The second component is not reported on in this

    study. The higher the values of the strategy construct, the more the firm was inclined towards the

    adoption of a Deliberate Strategy, and the lower value of that construct meant that the firm

    tended to adopt an emergent strategy.

    Discussion of the correlation matrix

    Regarding the correlation between the different variables, Table 3 shows that there is a

    positive correlation between a firms strategy and the four factors affecting BSC implementation.

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    This suggests that a deliberate strategy is associated with higher levels of BSC awareness,

    perception of BSC ease of use, perception of BSC usefulness, and intention to use the BSC. The

    high levels of correlation between the four BSC implementation factors may raise questions about

    the co-linearity between the measurements. It might be possible that the users overall experience

    with the BSC biases their assessment of the level of awareness of BSC capabilities, perceptions

    about the BSC, and intention to use it. In other words, users who have a positive BSC experience

    might be willing to provide a high evaluation regarding their level of BSC awareness, perception

    of BSC ease of use, perception of BSC usefulness, and intention to use the BSC and vice versa. A

    positive correlation between BSC ease of use and internal processes and innovation and learning

    shows that BSC ease of use is essential to engage employees in using the BSC and improving

    some aspects of a firms performance. However, it is the higher awareness of the BSC capabilities

    that results in higher financial performance, as shown by the positive correlation between the two

    variables.

    Regression Analysis

    Results show that the firms internal characteristics do tie in with our definition of firm

    strategy; refer to Table 8. On the other hand, an examination of the firms outside environment

    shows that firms that face increased market competition, higher changes in manufacturing

    technology, and higher legal and political threats are more likely to adopt a deliberate strategy,

    meaning that these firms plan their strategic actions more carefully and ensure that their plans are

    implemented accordingly.

    As predicted in H2 and H3, there is a positive association between the type of strategy used

    and the BSC implementation factorsawareness, perception of ease of use, perception of

    usefulness, and intention to use (refer to Table 5). This means that firms that adopt a deliberate

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    strategy will likely positively influence the BSC implementation, and firms that adopt an emergent

    strategy will be less likely to do so. A possible explanation for this finding is that the

    implementation of the BSC requires a lot of preparation on behalf of the firm; therefore,

    anticipation and early resolve on objectives facilitate the communication of the BSC capabilities to

    the employees and ensure their buy-in.

    Table 7 shows the association between the BSC implementation factors and the external

    variables of the firms environment. The models for BSC Awareness, Perception of BSC

    Usefulness, and BSC Intention to Use are all significant, meaning that, overall, these variables help

    explain the variation in BSC implementation factors. The results show that firms that experience

    large changes in their social environment are more likely to be associated with higher awareness of

    BSC capabilities. Further, firms that experience continuous changes in consumer demands will be

    more likely to see the BSC as a useful management control tool. Finally, changes in the legal and

    political environment will likely promote employees intentions to use the BSC.

    Table 6 shows the association between the internal characteristics of the firm and the BSC

    implementation factors. Intuitively, firms that focus on the development of their information

    systems are associated with higher levels of BSC Awareness. A probable explanation is that the

    development of information systems helps communicate the BSC capabilities effectively to

    employees. However, a developed information system does not ensure that the employees would

    perceive the BSC as being easy to use or useful. Neither will it ensure that employees will use the

    balanced scorecard. Firms with a focus on revenue-side activities, such as increase in market share,

    would find the BSC more useful and would be much more willing to use it. A focus on market

    share is also associated with higher BSC awareness but is not associated with BSC perception of

    ease of use. Interestingly, firms associated with cost reduction activities, such as increasing

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    productivity, are not in favour of implementing the BSC. A possible explanation is that the

    implementation of formal control systems requires a lot of time and could be seen as being

    counterproductive. A focus on increasing productivity means that employees are less aware of

    BSC capabilities. They are less likely to perceive of it as a useful tool and less likely to use it.

    Similar to the results of the study by (results are not reported), BSC perception of ease of

    use and BSC perception of usefulness are associated with BSC awareness. BSC perception of ease

    of use positively affects BSC perception of usefulness. Finally, BSC perception of ease of use and

    BSC perception of usefulness positively affect BSC intention to use.

    As shown in Table 4, the behavioural aspect of the employees towards BSC

    implementation is associated with improved levels of performance, as predicted by H1. It seems

    that ease of use is the most important factor that leads to improved performance. It is positively

    associated with improved performance in the learning and innovation, customer, and internal

    processes perspectives. Furthermore, awareness of the BSC capabilities is associated with higher

    levels of financial performance. Inexplicably, awareness of BSC capabilities is negatively

    associated with the internal processes perspective. Figure 2 summarizes our findings.

    5. CONCLUSION

    In this study we examined whether mapping between the firms strategy and management

    control using the BSC had a positive impact on corporate performance. We focused on behavioural

    issues affecting the implementation of the BSC in companies. We hypothesized that a fit between

    strategy and the BSC would have an impact on the behaviour of BSC users, which could lead to

    better results. We also controlled for the firms internal characteristics and external environment

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    that could affect the choice of the firms strategy and the implementation of the balanced scorecard

    as a management control tool.

    We examined four behavioural factors that affect BSC implementation, which are BSC

    awareness, perception of ease of use, perception of usefulness, and intention to use. Islam and

    Kellermanns (2006) showed that these factors were interrelated and that awareness about BSC

    capabilities was the first step that drove employees perception of ease of use and usefulness,

    which in return increased the likelihood that employees would buy into the BSC and become more

    willing to use it. Our study has confirmed these findings. We argue that the link between these

    factors and the firms strategy would enhance employees understanding of BSC capabilities and

    strengthen their view that the BSC could help the firm to improve; thus, it could lead to advancing

    a firms performance. BSC implementation is a complex task that requires careful planning,

    preparation, and thorough understanding. Hence, we expect those firms with clear and planned

    strategiesdeliberate strategies, as defined by to be more successful in communicating BSC

    capabilities and selling the BSC to their employees. Alternatively, firms with emergent strategies

    do not have a clear strategic vision, and BSC implementation might cause confusion among the

    users if they experienced continuously changing objectives.

    In agreement with our expectations, we found that a planned strategy facilitated BSC

    implementation, as it fostered employee buy-in of the control system. Employees of firms with

    deliberate strategies were more likely to be aware of BSC capabilities, have better perceptions

    about its ease of use and usefulness, and were more willing to use the tool. We also found that the

    perception of BSC ease of use was the most important factor from which different performance

    measures were derived. Our explanation is that employees awareness of BSC capabilities and

    usefulness is essential but not enough to drive performance. It is employees perception that the

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    BSC is easy to use that drives effectiveness, which leads to improvement in performance. Finally,

    we found that the development of strong communication and information systems was vital for

    BSC implementation, as it helped to increase awareness of BSC capabilities.

    These findings could be interesting to firms implementing, or planning to implement, the

    BSC, as it provides them with a perspective on how to maximize their benefits from using the BSC

    as a management control system. We propose that firms provide employees with planned

    objectives that embrace the different BSC measures and clear guidelines on handling the BSC in

    order to eliminate possible frustrations that could occur during implementation and ensure

    employee buy-in.

    Limitation of the study

    This is one of the studies exploring the survey data of the manufacturing companies who

    are using the BSC. This study has tested some hypotheses, and the results are encouraging.

    However, the results cannot be generalized, because there are some limitations of the study, and

    further investigation is needed. We recognize that, during the period when the survey was

    conducted, in 2008, the world economy, including that of the USA and Canada, was undergoing an

    economic depression. Understandably, it may be argued that the survey period was not a normal

    one, which could have caused the sample size to be small. The current study mailed out the survey

    questionnaires to all types of companies at random, based on sales and industry description

    criteria. The study result shows aggregate inferences for industries in general rather than for a

    particular type of industry. The result of the use and implementation of the BSC could be different

    depending on a type of industry, which requires further investigation. Future study for BSC

    implementation and its implications on performance is required based on the industry-specific data

    of the companies.

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    Figure 1: Balanced scorecard implementation model

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    InternalFactors

    Strategy

    ExternalFactors

    BSCImplementationFactors

    Performance

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    Figure 2: Summary of Results

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    Internal

    CharacteristicsSizeSales from New ProductsMarketShare*Productivity*Information SystemsEmployee Retention

    Strategy

    Internal

    CharacteristicsCompetition*Pr

    oduct

    TechnologyManufacturing

    Technology*Information

    TechnologyLegal

    Environment*Customer

    PreferencesProduct Life

    CycleSocial Environment*

    Awareness

    PerceptionEase of Use

    PerceptionUsefulness

    Intention toUse

    BSC Implementation Factors

    Performance

    Financial

    Customer

    InternalProcesses

    Learning andInnovation

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    Table 1: Measures of strategy, BSC implementation factors, performance, internal

    and external factors

    Strategy:

    Please indicate your opinion about the following statements. StronglyStrongly

    Disagree

    Agree

    1. We typically don't know what the strategic priorities of our business strategy should beuntil we engage in some trial and error actions.

    1 2 3 4 5 6 7

    2. My Organisation's strategic priorities is carefully planned and well understood before anysignificant competitive actions are taken.

    1 2 3 4 5 6 7

    3. Formal strategic plans serve as the basis for our competitive actions. 1 2 3 4 5 6 7

    4. My Organisation's strategic priorities are typically not planned in advance but, rather,emerge over time as the best means for achieving our objectives become clearer.

    1 2 3 4 5 6 7

    5. Competitive strategy for my Organisation typically results from a formal business planningprocess (i.e., the formal plan precedes the action).

    1 2 3 4 5 6 7

    BSC implementation factors:

    Measures of BSC Awareness

    I know the feature of the balanced scorecard approach 1 2 3 4 5 6 7

    I am aware of the cost of deploying balanced scorecard 1 2 3 4 5 6 7

    I know the extent of benefits that can be derived by deploying the balanced scorecard 1 2 3 4 5 6 7

    I dont know the type of business activities in which balanced scorecard information can bedeployed

    1 2 3 4 5 6 7

    Perceptions of BSC Ease of Use

    The balanced scorecard approach is easy to learn 1 2 3 4 5 6 7

    The balanced scorecard approach is clear and understandable 1 2 3 4 5 6 7

    The balanced scorecard approach is easy to use 1 2 3 4 5 6 7

    The balanced scorecard approach is flexible 1 2 3 4 5 6 7

    The balanced scorecard approach is hard to follow 1 2 3 4 5 6 7

    Perceptions of BSC Usefulness

    Using balanced scorecard would improve company performance 1 2 3 4 5 6 7

    Using balanced scorecard in the company would increase productivity 1 2 3 4 5 6 7

    Using balanced scorecard would enhance effectiveness in the company 1 2 3 4 5 6 7

    I find balanced scorecard would be useful in my company. 1 2 3 4 5 6 7

    Intentions to use BSC

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    Assuming I had access to BSC, I intend to use it 1 2 3 4 5 6 7

    Given that I had access to BSC, I predict that I would use it 1 2 3 4 5 6 7

    Performance:

    With four (4) representing the industry average, please indicate your Organizations overallperformanceover the past 3 years in the following areas by rating it on a scale below ranging from one (significantlybelow average) to seven (significantly above average). If any of the following performance indicators isNOT currently used in evaluating your Organizations performance, please indicate by selecting zero (0)beside those specific performance indicators.

    Significantly Significantly

    Below Above

    Notused

    Average Average

    Financial PerspectiveRate of return on investment (ROI) 0 1 2 3 4 5 6 7

    Percentage of market share 0 1 2 3 4 5 6 7

    Sales growth 0 1 2 3 4 5 6 7

    Cash flow from operations 0 1 2 3 4 5 6 7

    Customer Perspective

    Product (or service) quality 0 1 2 3 4 5 6 7

    Customer satisfaction with product/service delivery process 0 1 2 3 4 5 6 7

    Percentage of sales from new products 0 1 2 3 4 5 6 7

    Development of markets for new or existing products 0 1 2 3 4 5 6 7

    Internal Processes Perspective

    Comparative costs with similar unit of competitors (or service provider) 0 1 2 3 4 5 6 7

    Decrease in percentage of waste and rework (or error correction) 0 1 2 3 4 5 6 7

    Decrease in percentage of total cost to net sales (services or products) 0 1 2 3 4 5 6 7

    Decrease in percentage of sales returns 0 1 2 3 4 5 6 7

    Your companys budget for waste management 0 1 2 3 4 5 6 7

    Learning and Innovation Perspective

    Employee satisfaction 0 1 2 3 4 5 6 7

    Investment in information technology/E-commerce 0 1 2 3 4 5 6 7

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    Workplace relations 0 1 2 3 4 5 6 7

    Employee health and safety 0 1 2 3 4 5 6 7

    Employee training and development 0 1 2 3 4 5 6 7

    Internal Variables:

    1. Firm size:Annual Sales (Please check the relevant box)

    Less than $ 100,000 $ 100,000 to $ 499,999

    $ 500,000 to $ 999,999 $ 1 million or more

    $ 100 million or more $ 500 million or more

    2. Other factors:

    Notused

    Lowusage

    Highusage

    2. Percentage of sales from new products or services 0 1 2 3 4 5 6 73. Increase/change in market share 0 1 2 3 4 5 6 7

    4. Employee productivity 0 1 2 3 4 5 6 7

    5. Information systems capabilities 0 1 2 3 4 5 6 7

    6. Employee retention 0 1 2 3 4 5 6 7

    External Variables:

    Negligibly intense Extremely intense

    1. How intense is competition for market share 1 2 3 4 5 6 7

    How stable is the technological environment facing your organisation?

    Very stable (changing slowly) Very dynamic (changingrapidly)

    2. Product technology (made or used) 1 2 3 4 5 6 7

    3. Manufacturing technology (to make products orto provide services)

    1 2 3 4 5 6 7

    4. Information processing technology 1 2 3 4 5 6 7

    During the past 5 years, the legal and/ or political compliance requirements for product or

    service provision by your organisation have:

    5. Remained about thesame

    1 2 3 4 5 6 7 Have proliferatedgreatly

    During the past 5 years, the tastes and preferences of your customers have become:

    6. Much easier to predict 1 2 3 4 5 6 7 Much harder to predict

    The expected life cycle of the products in your industry is:

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    7. Very stable (changingslowly)

    1 2 3 4 5 6 7 Very dynamic (changingrapidly)

    How stable is the social environment (such as conservation, green movement) facing your firm?

    8. Very stable (changing

    slowly)

    1 2 3 4 5 6 7 Very dynamic (changing

    rapidly)

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    Table 2: Results of Factor Analysis

    Factor Analysis for the Attributes of Strategy Component Loading

    Variance

    Explained

    (%)

    We typically don't know what the strategic priorities of ourbusiness strategy should be until we engage in some trialand error actions.

    -.480

    42.9

    My Organisation's strategic priorities is carefully plannedand well understood before any significant competitiveactions are taken.

    .606

    Formal strategic plans serve as the basis for our competitiveactions.

    .841

    My Organisation's strategic priorities are typically notplanned in advance but, rather, emerge over time as the bestmeans for achieving our objectives become clearer.

    -.622

    Competitive strategy for my Organization typically resultsfrom a formal business planning process (i.e., the formalplan precedes the action).

    .672

    Factor Analysis for the Attributes of BSC Awareness Component Loading

    Variance

    Explained

    (%)

    I know the feature of the balanced scorecard approach .931

    74.1

    I am aware of the cost of deploying balanced scorecard .893

    I know the extent of benefits that can be derived bydeploying the balanced scorecard

    .931

    I dont know the type of business activities in whichbalanced scorecard information can be deployed

    -.658

    Factor Analysis for the Attributes of Perception of

    BSC Ease of UseComponent Loading

    Variance

    Explained

    (%)

    The balanced scorecard approach is easy to learn .903

    75.1

    The balanced scorecard approach is clear andunderstandable

    .919

    The balanced scorecard approach is easy to use .863

    The balanced scorecard approach is flexible .878

    The balanced scorecard approach is hard to follow -.760

    Factor Analysis for the Attributes of Perception of

    BSC UsefulnessComponent Loading

    Variance

    Explained

    (%)

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    Using balanced scorecard would improve companyperformance

    .949

    86.3

    Using balanced scorecard in the company would increaseproductivity

    .896

    Using balanced scorecard would enhance effectiveness inthe company

    .926

    I find balanced scorecard would be useful in my company..944

    Factor Analysis for the Attributes of BSC Intention to

    UseComponent Loading

    Variance

    Explained

    (%)

    Assuming I had access to BSC, I intend to use it .9590.2

    Given that I had access to BSC, I predict that I would use it .95

    Factor Analysis for the Attributes Financial

    Perspective Component Loading

    Variance

    Explained(%)

    Rate of return on investment (ROI) .823

    48.9Percentage of market share .648

    Sales growth .561

    Cash flow from operations .737

    Factor Analysis for the Attributes Customer

    PerspectiveComponent Loading

    Variance

    Explained

    (%)

    NewProducts

    CustomerSatisfaction

    57.8Product (or service) quality .138 .838

    Customer satisfaction with product/service delivery process -.232 .553

    Percentage of sales from new products .632 -.329

    Development of markets for new or existing products .838 .137

    Factor Analysis for the Attributes of Internal Processes

    PerspectiveComponent Loading

    Variance

    Explained

    (%)Comparative costs with similar unit of competitors (orservice provider)

    .57441.4

    Decrease in percentage of waste and rework (or errorcorrection)

    .770

    Decrease in percentage of total cost to net sales (servicesor products)

    .737

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    Decrease in percentage of sales returns .593

    Time to market (make available to public) new products .560

    Your companys budget for waste management .593

    Factor Analysis for the Attributes of Learning andInnovation Perspective Component Loading

    Variance

    Explained(%)

    Employee satisfaction .568

    54.2

    Investment in information technology/E-commerce .786

    Workplace relations .617

    Employee health and safety .810

    Employee training and development .857

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    Table 3: Pearson Correlation

    Strategy

    BSC_Awarness

    BSC_Ease_of_Use

    BSC_Usefulness

    BSC_Intention_to_Use

    Financial

    Customer_New_Produc

    t

    Customer_Satisfaction

    Internal_Processes

    Learning_Innovation

    Strategy 1

    BSC_Awarness.562**

    1

    BSC_Ease_of_Use.465**

    .610**

    1

    BSC_Usefulness.466**

    .895**

    .680**

    1

    BSC_Intention_to_Use.477**

    .777**

    .698**

    .827**

    1

    Financial .309* .334* 0.275 0.252 0.223 1

    Customer_New_Product -0.182 -0.023 0.295 0.006 -0.047 0.013 1

    Customer_Satisfaction 0.155 0.116 0.148 0.157 0.209 0.182 0 1

    Internal_Processes 0.078 -0.041.404**

    0.012 0.037 0.235.599**

    0.166 1

    Learning_Innovation 0.123 -0.073.451**

    -0.105 0.027 0.267.605**

    -0.05.693**

    1

    Size 0.129 0.266.

    399**0.183 .340*

    .

    414**-0.125 -0.071 -0.04 0.203

    Sales from New Products 0.022 -0.021 0.232 0.098 0.039 -0.013 0.064 -0.181 0.274 0.252

    Market Share 0.143 0.241 -0.107 0.303 0.097 .338* 0.036 0.05 -0.026 0.064

    Productivity -0.02 -0.181 -0.106 -0.06 -0.276 -0.043 0.117 0.083 0.094 0.185

    Information Systems 0.176 .392* 0.107.418**

    0.153.477**

    0.068 0.036 0.24 0.204

    Employee Retention 0.141 -0.016 -0.101 0.066 0.095 0.237 -0.135 0.207 0.092 0.141

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    Competition.471**

    .422**

    0.11.413**

    .366* 0.005 0.096 0.047 0.167 0.201

    Product Technology 0.21.471**

    0.106.448**

    0.27 0.257 -0.065 -0.046 0.007 0.015

    Manufacturing Technology .313*.480**

    0.205.488**

    .477**

    .310* 0.107 0.063 0.106 0.148

    Information Technology 0.238 .291* 0.285 .332* 0.281 0.152 0.206 -0.138.455**

    .480**

    Legal Environment 0.219 0.084 0.066 -0.031 0.082 0.021 -.314* 0.046 -0.039 -0.122

    Customer Preferences .274*.509**

    0.138.536**

    .283* -0.108 0.032 -0.043 -0.199 -0.144

    Product Life Cycle 0.213.

    413**-0.024

    .

    408**0.198 0.193 0.056 -0.008 -0.043 0.036

    Social Environment 0.119.396**

    0.181.393**

    .300* 0.178 .299* 0.127 0.097 0.1

    Size

    SalesfromNewProducts

    MarketShare

    Productivity

    InformationSystems

    EmployeeRetention

    Competition

    ProductTechnology

    ManufacturingTechnolog

    y

    InformationTechnology

    LegalEnvironment

    CustomerPreferences

    ProductLifeCycle

    SocialEnvironment

    Size 1

    Sales from New Products -0.082 1

    Market Share -0.068 -0.11 1

    Productivity -0.233 .318* .637** 1

    Information Systems -0.153 0.042 .483** 0.12 1

    Employee Retention -0.077 .292* .411** .459** 0.231 1

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    Competition -0.009 0.158 .394** 0.26 0.293 0.12 1

    Product Technology 0.135 0.044 .311* -0.034 .351* 0.279 .314* 1

    Manufacturing Technology 0.169 0.037 .307* -0.011 0.241 0.16 .395** .677** 1

    Information Technology 0.199 0.257 0.122 0.044 .309* 0.248 .415** .466** .471** 1

    Legal Environment 0.036 0.084 .344* 0.021 .357* 0.165 0.158 0.004 -0.23 -0.063 1

    Customer Preferences -0.056 0.068 0.19 0.027 0.204-0.119

    .348** .415** .421** 0.146 -0.159 1

    Product Life Cycle -0.043 0.019 .433** 0.103 .414** 0.288 .395** .700** .614** .331* -0.047.420**

    1

    Social Environment -0.081 0.015 .379* 0.118 .391* 0.293 0.257 .414** .463** .330* -0.004.358**

    .385** 1

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

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    Table 4: Results of Performance regression on factors affecting BSC implementation

    Financial Perspective Customer Perspective Internal Processes

    Perspective

    Learning and

    Innovation

    PerspectiveNew Products Customer Satisfaction

    R2 F R2 F R2 F R2 F R2 FBSC Awareness .731*

    .180 2.147*

    -.231

    .096 .983

    -.296 .044 .430 -.808*

    .275 3.225**

    -.380

    .312 3.848**

    Perception of BSC

    Ease of Use.081 .406* .153 .697*** .719**

    Perception of BSC

    Usefulness-.327 .173 .140 .375 -.278

    BSC Intention to Use -.030 .032 .269 .282 .529

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

    Table 5: Results factors affecting BSC implementation on Strategy

    BSC Awareness Perception of BSC Ease of Use Perception of BSC Usefulness BSC Intention to Use

    R2 F R2 F R2 F R2 FStrategy .526*** .316 22.6*** .338*** .216 12.12**

    *.39*** .218 12.79**

    *.394*** .228 13.845***

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

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    Table 6: Results factors affecting BSC implementation regression on Internal Factors

    BSC Awareness Perception of BSC Ease of Use Perception of BSC Usefulness BSC Intention to Use

    R2 F R2 F R2 F R2 FSize .032

    .3752.897*

    *

    .096

    .124 .638

    -.099

    .375 2.695**

    .025

    .275 1.775

    Sales fromNew Products

    .063 .107 .153 .099

    Market Share .407** .002 .405** .297**

    Productivity -.466** -.036 -.398** -.462*

    InformationSystems

    .282* .031 .226 .018

    EmployeeRetention

    -.148 -.087 -.164 .127

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

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    Table 7: Results factors affecting BSC implementation regression on External Factors

    BSC Awareness Perception of BSC Ease of Use Perception of BSC Usefulness BSC Intention to Use

    R2 F R2 F R2 F R2 FCompetition .198 .433 3.434*** -.042 .189 .901 .116 .39 2.71** .276 .197 2.321**

    ProductTechnology

    .108 -.063 .050 -.023

    ManufacturingTechnology

    .202 .207 .147 .39**

    InformationTechnology

    -.009 .238 .054 -.054

    LegalEnvironment

    .127 .137 .048 .116

    CustomerPreferences

    .266 .129 .288* .001

    Product LifeCycle

    -.043 -.198 -.019 -.151

    SocialEnvironment

    .074* .039 .049 .081

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

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    Table 8: Results of Strategy regression on Internal Factors

    Strategy

    R2 FSize .001

    .088 .548

    Sales fromNew Products

    .027

    Market Share .101

    Productivity -.140

    InformationSystems

    .204

    EmployeeRetention

    .012

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

    Table9: Results ofStrategy regression on External Factors

    Strategy

    R2 FCompetition .356*

    .386 3.064***

    ProductTechnology

    -.175

    ManufacturingTechnology

    .306*

    Information

    Technology

    .076

    LegalEnvironment

    .301*

    CustomerPreferences

    .220

    Product LifeCycle

    -.026

    SocialEnvironment

    -.119

    ***p < .01 (2-tailed), **p < .05 level (2-tailed), *p < .1 level (2-tailed)

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