The Impact of the Implication of Balanced Scorecard Model (BSC) in Performance of the Post Company

  • Received September 18, 2017;
    Accepted December 5, 2017;
    Published December 25, 2017
  • Author(s)
    Soleyman Iranzadeh , Sadegheh Hosseinzadeh Nojehdeh , Nahideh Najafi Emami
  • DOI
    http://dx.doi.org/10.21511/ppm.15(4-1).2017.03
  • Article Info
    Volume 15 2017, Issue #4, pp. 188-196
  • TO CITE АНОТАЦІЯ
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Balanced scorecard model is a method to evaluate and control programs with adequate consistency. According to it, a certain organization is evaluated and controlled in terms of financial aspect, together with growth and learning, internal business processes and customer aspects. This research is practical in purpose and a descriptive inferential method has been used to collect data in addition to utilizing five-scale Likert questionnaire. In order to increase the accuracy of the study, all 320 employees of post company have been under evaluation. A one-sample t-test has been used to analyze the questions of the study. Furthermore, Friedman test has been used to investigate the differences among groups. The results of testing the hypotheses indicate the effect of growth and learning of the employees of post company, as well as internal business processes, customer and financial aspects on the performance of the post company. Moreover, Friedman test probing the differences among groups shows that internal business processes and customer variables have the most significant impact upon the performance of the post company, while growth and learning and financial aspects have the least significant effect on the performance of the post company.

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    • Table 1. Questionnaire aspects alpha
    • Table 2. Minimum, maximum, average and standard deviation of studied variables scores
    • Table 3. Descriptive statistics
    • Table 4. t-test
    • Table 5. Descriptive statistics
    • Table 6. t-test
    • Table 7. Descriptive statistics
    • Table 8. t-test
    • Table 9. Descriptive statistics
    • Table 10. t-test
    • Table 11. Descriptive statistics
    • Table 12. t-test
    • Table 13. Friedman test
    • Table 14. Chi-square test
    • Andersen, H. V., Lawrie, G., & Shulver, M. (2000). The balanced Scorecard VS. The EFQM Business Excellence Model. 2GC Limited.
    • Atkinson, H. (2006). Strategy implementation: A role for the balanced Scorecard? Management Decision, 49(10), 1441-1460. 3. Blocher, E. J., Chen, K. H. & Lin, T. IV. (1999). Cost Management: A Strategic Emphasis, Irwin/ McGraw-Hill.
    • Chong, L. M., & Sholihin, M. (2005). Financial and nonfinancial performance measures: How do they affect job satisfaction? The British Accounting Review, 37(4), 389-413.
    • Clarke, S. (2001). Information systems and strategic management: An integrated approach.
    • Creelman, J., & Makhijani, N. (2008). How Leading organizations successfully implement corporate strategy with the balanced scorecard. The OTI thought Leadership. Series, 1, 1-16.
    • Davis, D., & Fisher, T. (2003). Attitudes of middle managers to quality – based organizational change. Managing service Quality, 12, 405-413.
    • Davis, S., & Albright, T. (2004). An investigation of the effect of balanced score card implementation on financial performance. N. P.
    • Ghahraman, Mohammad Reza (2011). Twelve steps to define and implement balanced scorecard. Bazga publication, Tehran.
    • Greet, J. M., & Edwin, J. N. (2004). Performance effects of using the balanced scorecard: A note on the Dutch experience. N.P.
    • Harbour, Jerry L. (1997). The Basics of Performance Measurement. Productivity Press.
    • Heinz, A. (2001). Applying the Balanced Scorecard concept: An Experience Report. Long Range Planning, 34.
    • Hepworth, P. (1998). Weighing it up – a literature review for the Balanced Scorecard. Journal of Management development, 17(8), 559-563.
    • Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard business review
    • Kaplan, R. S., & Norton, D. P. (2004). Having Trouble with your strategy? Then Map It! Boston: Harvard Business Review.
    • Kaplan, R. S., & Robin, C. (1998). Cost and effect: Using integrated cost systems to drive profitability and performance. Boston: Harvard business school press.
    • Lomotte, G., & Carter, G. (2000). Are the Balanced Scorecard and the EFQM Excellence Model Mutually Exclusive or do they work together to Bring added Value to a company? Working Paper, 2, 49-58.
    • Milis, K., & Mercken, R. (2004). The use of the balanced scorecard for the evaluation of Information and Communication Technology projects. International Journal of Project Management 22, 87-97.
    • Niven, P. R. (2002). Balanced scorecard step-by-step. John Wiley & Sons Inc.
    • Paul, L. Niven (2003). Balanced Scorecard step-by-step. John Wiley & Sons Inc.
    • Sime, K. L., Koh, H. C. (2001). Balanced Scorecard: A rising trend in strategic performance. Measuring Business Excellence, 5(2), 18-26.
    • Smith, R. (2006). Business Process Management and Balanced Scorecard: Focusing Processes on strategic Drivers. Kindle Edition.
    • Wongrassam, S., Gardiber, P. D., & Simmons, J. E. L. (2003). Performance Measurement Tools: The Balanced Scorecard and the EFQM Excellence Model. Measuring Business Excellence, 7(1), 14-28.
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