INTEGRISANI MODEL UPRAVLJANJA PERFORMANSAMA KOMPANIJE PRIMENOM ANALITIČKO HIJERARHIJSKOG PROCESA
Sažetak
The aim of this paper is to test the application of an integrated performance management model on the example of a manufacturing company in the field of food industry in Serbia. The proposed model integrates performance quantification (objective and subjective) on the one hand, and performance improvement, on the other. Objective variables are presented in the form of cost and time dimensions, while analytical hierarchical process (AHP) was used to quantify subjective variables. The research results provide insight into the achieved and optimal performance of the company, which provides a basis for further performance improvements.
Reference
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Armstrong, M. (2006). Performance Management. London: Kogan Page.
Gomes, Yasin & Lisboa. (2006). Performance measurement practises in manufacturing firms: an empirical investigation. Journal of Manufacturing Technology Management, 17(2), 144-167.
Grafton, J., Lillis, M. A., & Widener, K. S. (2010). The role of performance measurement and evaluation in building organizational capabilities and performance. Accounting, Organizations and Society, 35, 689-706.
Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance. Accounting Organizations and Society, 33(2/3), 141-163.
Malmi, T., & Brown, D. (2008). Management control systems as a package - opportunities, challenges and research directions. Management Accounting Research, 14(4), 287-300.
Parthiban, Goh. (2011). An integrated model for performance management of manufacturing units. Benchmarking: An International Journal, 18(2), 261-281.
Saaty, T. (1994). How to make a decision: the analytical hierarchy process. Interfaces(24), 19-43.
Saaty, T. (2003). Decision making with the AHP: why is the principal eigenvector necessary. European Journal of Opearation Research, 145(1), 85-89.
Saaty, T. L. (1980). The analytical hierarchy process. New York: Mc Graw-Hill.
Saaty, T.L., Vargas, L.G. (2012). Models, Methods, Concepts and Applications of the Analytic Hierarchy Process (2nd ed.). New York: Springer.
Salem, M. (2010). An Application of the Analytic Hierarchy Process to Determine Benchmarking Criteria for Manufacturing Organizations. International Journal of Trade, Economics and Finance, 1(1), 93-102.
Spitzer, R. D. (2007). Transforming Performance Measurement: Rethinking the Way We Measure and Drive Organizational Success. New York: Amacom - American Management Association.
Tadic, J., Boljevic, A. (2015). Integration of Critical Success Factors in Order to Improve Performance of the Company. Strategic Management, 20(1), 26-33.
Tangen, S. (2004). Performance measurement: from philosophy to practice. International Journal of Productivity and Performance Management, 53(8), 726-737.
Tonchia, S., Quagini, L. (2010). Performance Measurement: Linking Balanced Scorecard to Business Intelligence . London: Springer.
Armstrong, M. (2006). Performance Management. London: Kogan Page.
Gomes, Yasin & Lisboa. (2006). Performance measurement practises in manufacturing firms: an empirical investigation. Journal of Manufacturing Technology Management, 17(2), 144-167.
Grafton, J., Lillis, M. A., & Widener, K. S. (2010). The role of performance measurement and evaluation in building organizational capabilities and performance. Accounting, Organizations and Society, 35, 689-706.
Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance. Accounting Organizations and Society, 33(2/3), 141-163.
Malmi, T., & Brown, D. (2008). Management control systems as a package - opportunities, challenges and research directions. Management Accounting Research, 14(4), 287-300.
Parthiban, Goh. (2011). An integrated model for performance management of manufacturing units. Benchmarking: An International Journal, 18(2), 261-281.
Saaty, T. (1994). How to make a decision: the analytical hierarchy process. Interfaces(24), 19-43.
Saaty, T. (2003). Decision making with the AHP: why is the principal eigenvector necessary. European Journal of Opearation Research, 145(1), 85-89.
Saaty, T. L. (1980). The analytical hierarchy process. New York: Mc Graw-Hill.
Saaty, T.L., Vargas, L.G. (2012). Models, Methods, Concepts and Applications of the Analytic Hierarchy Process (2nd ed.). New York: Springer.
Salem, M. (2010). An Application of the Analytic Hierarchy Process to Determine Benchmarking Criteria for Manufacturing Organizations. International Journal of Trade, Economics and Finance, 1(1), 93-102.
Spitzer, R. D. (2007). Transforming Performance Measurement: Rethinking the Way We Measure and Drive Organizational Success. New York: Amacom - American Management Association.
Tadic, J., Boljevic, A. (2015). Integration of Critical Success Factors in Order to Improve Performance of the Company. Strategic Management, 20(1), 26-33.
Tangen, S. (2004). Performance measurement: from philosophy to practice. International Journal of Productivity and Performance Management, 53(8), 726-737.
Tonchia, S., Quagini, L. (2010). Performance Measurement: Linking Balanced Scorecard to Business Intelligence . London: Springer.
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2021/01/21
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