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The key performance indicators (KPIs) and their impact on overall organizational performance

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Abstract

The concept of performance management is used by most of the organizations to ensure that either they are going on the right path or not. For managing the performance the organizations are required to know about the performance indicators. This paper explores the key performance indicators (KPIs) and impact of these KPIs on the overall organizational performance in manufacturing sector in Pakistan. The data for present study collected from the top level management of the 84 best manufacturing organizations in Pakistan by using a structured questionnaire and the impact of KPIs on the overall performance of the manufacturing organizations were evaluated. The results show that the manufacturing organizations put more focus on the customer satisfaction and Delivery reliability in terms of performance measurement. And measuring the performance in terms of cost, financial, quality, time, flexibility, delivery reliability, safety, customer satisfaction, employees’ satisfaction and social performance indicators have positive significant impact on the overall organization’s performance. This paper puts together all important performance indicators used by organizations in a single list and check their impact on the overall performance indicator index of the Organizations. As Pakistan is among the developing countries, this study will serve as a valuable guideline for several manufacturing organizations operating in other developing countries of the world.

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References

  • Badri, Masood A., Davis, D., Davis, D.: A study of measuring the critical factors of quality management. Int. J. Qual. Reliab. Manag. 12(2), 36–53 (1994).

    Google Scholar 

  • Bernard, M., Gianni, S., Neely, A.: Intellectual capital-defining key performance indicators for organizational knowledge assets. J. Bus. Process Manag. 10(5), 551–569 (2004)

    Article  Google Scholar 

  • Browne, J., Devlin, J., Rolstadas, A., Andersen, B.: Performance measurement: the ENAPS approach. Int. J. Bus. Transform. 1, 73–84 (1997)

    Google Scholar 

  • Chaston, I: Entrepreneurial marketing. Macmillan Business, Basingstoke (2001)

  • De Toni, A., Tonchia, S.: Performance measurement systems-models, characteristics and measures. Int. J. Oper. Prod. Manag. 21(1/2), 46–71 (2001)

    Article  Google Scholar 

  • Fernandes, K.J., Raja, V., Whalley, A.: Lessons from implementing the balanced scorecard in a small and medium size manufacturing organization. Technovation 26(2006), 623–634 (2006)

    Article  Google Scholar 

  • Flin, R.M., KO’connor, P., Bryden, R.: Measuring safety climate: identifying the common features. Saf. Sci. 34(1–3), 177–192 (2000)

    Article  Google Scholar 

  • Forman, E.H., Gass, S.I.: The analytic hierarchy process: an exposition. Oper. Res. 49(4), 469–486 (2001)

    Article  Google Scholar 

  • Ghalayini, A.M., Noble, J.S.: The changing basis of performance measurement. Int. J. Oper. Prod. Manag. 16(8), 63–80 (1996)

    Article  Google Scholar 

  • Ghalayini, A.M., Noble, J.S.: An integrated dynamic performance measurement system for improving manufacturing competitiveness. Int. J. Prod. Econ. 48(3), 207–225 (1997)

    Article  Google Scholar 

  • Gosselin, M.: An empirical study of performance measurement in manufacturing organizations. Int. J. Prod. Perform. Manag. 54(5/6), 419–437 (2005)

    Article  Google Scholar 

  • Heckl, D., Moormann, J.: Process performance management. In: Handbook on Business Process Management, vol. 2, pp. 115–135. Springer, Berlin (2010).

  • Ittner, C.D., Larcker, D.F.: Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction. J. Account. Res. 36, 1–35 (1998)

    Article  Google Scholar 

  • Koufteros, X.A., Vonderembse, M.A., Doll, W.J.: Developing measures of time-based manufacturing. J. Oper. Manag. 16(1), 21–41 (1998)

    Article  Google Scholar 

  • Leong, G.K., Snyder, D.L., Ward, P.T.: Research in the process and content of manufacturing strategy. Omega 18(2), 109–122 (1990)

    Article  Google Scholar 

  • Mapes, J.N., New, C., Szwejczewski, M.: Performance trade-offs in manufacturing plants. Oper. Prod. Manag. 17(10), 1020–1033 (1997)

    Article  Google Scholar 

  • Mearns, Kathryn, Whitaker, Sean M., Flin, Rhona: Safety climate, safety management practice and safety performance in offshore environments. Saf. Sci. 41, 641–680 (2003)

    Article  Google Scholar 

  • Munir Ahmad, M., Dhafr, N.: Establishing and improving manufacturing performance measures. Robot. Comput. Integr. Manuf. 18, 171–176 (2002).

  • Neely, A., Gregory, M., Platts, K.: Performance measurement system design: a literature review and research agenda. Int. J. Oper. Prod. Manag. 25(12), 1228–1263 (2005)

    Article  Google Scholar 

  • Parmenter, D.: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs. Wiley, New Jersey, USA (2009)

  • Rolstadås, A.: Enterprise performance measurement. Int. J. Oper. Prod. Manag. 18(9/10), 989–999 (1998)

    Article  Google Scholar 

  • Sadler-Smith, E., Spicer, D.P., Chaston, I.: Learning orientations and growth in smaller organizations. Long Range Plan. 34(2), 139–158 (2001)

    Article  Google Scholar 

  • Sinclair, D., Zairi, M.: Effective process management through performance measurement: part II-benchmarking total quality-based performance measurement for best practice. Bus. Process Manag. J. 1(2), 58–72 (1995)

    Article  Google Scholar 

  • Utterback, J.M., Abernathy, W.J.: A dynamic model of process and product innovation. Omega 3(6), 639–656 (1975)

    Article  Google Scholar 

  • White, G.P.: A survey and taxonomy of strategy-related performance measures for manufacturing. Int. J. Oper. Prod. Manag. 16(3), 42–61 (1996)

    Article  Google Scholar 

  • Wind, Y., Saaty, T.L.: Marketing applications of the analytic hierarchy process. Manag. Sci. 26(7), 641–658 (1980)

    Article  Google Scholar 

  • Zairi, M., Sinclair, D.: Business process re-engineering and process management: a survey of current practice and future trends in integrated management. Bus. Process Manag. J. 1(1), 8–30 (1995)

    Article  Google Scholar 

  • Zhang, Qingyu, Vonderembse, Mark A., Lim, Jeen-Su: Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction. J. Oper. Manag. 21(2003), 173–191 (2003)

    Article  Google Scholar 

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Correspondence to M. Ishaq Bhatti.

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We’re thankful to Mr. Khuram Bukhary for his research assistantship and constructive comments to improve the quality of the paper. Z. Razaq was a former student of Institute of Management Sciences, Bahauddin Zakaria University, Multan, Pakistan.

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Ishaq Bhatti, M., Awan, H.M. & Razaq, Z. The key performance indicators (KPIs) and their impact on overall organizational performance. Qual Quant 48, 3127–3143 (2014). https://doi.org/10.1007/s11135-013-9945-y

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