A Dynamic Performance Management Model

Year 2015, Volume 3, Issue 2, 2015, 153 - 168, 30.12.2015

Banu Özkeser , Arzu Uzun

https://doi.org/10.17093/aj.2015.3.2.5000152974

Abstract

This article aims to develop an organizational performance management model in a dynamic structure, formed in the scientific methods gathering together. All the criteria, expected to be in the performance evaluation form, create the performance criteria pool (shown as Ph). This pool has a dynamic structure containing criteria which are decided to take into consideration by the manager. Performance criteria pool getst together in main group names (shown as AG) and for each AG, half of the total score is taken by using two methods, of which significance degrees are the highest ones in the result of AHP. The cumulative score shows the "Growth in Learning" level. Growth in learning data, specify the level of knowledge and experience level, the tendency, strong and developable aspects of the evaluated personnel.

Dinamik Bir Performans Yönetim Modeli

Abstract

Bu makale, çalışanların beklentileriyle, bilimsel metotların bütünlüğünde oluşan, dinamik yapıda bir organizasyonel performans yönetim modelinin geliştirilmesini amaçlamaktadır. Performans değerlendirme formunda yer alması beklenen tüm kriterler, performans kriter havuzunu (Ph) oluşturmakla birlikte, yöneticinin olması gerektiğini düşündüğü başka kriterler de varsa havuza ekleyebileceği esneklik sayesinde sistem dinamizmi korunmaktadır. Performans kriter havuzu, ana grup isimleri (AG) altında gruplanır ve her AG için Analitik Hiyerarşi Prosesi kullanılmasıyla önem derecesi en yüksek çıkan yöntem sonucundaki puan alınır. Elde edilen bu puan; öğrenmede büyüme puanıdır. Öğrenmede büyüme verileri, performansı değerlendirilen çalışanın zamanla kazandığı bilgi ve tecrübe seviyesini, eğilimlerini, güçlü ve gelişime açık yönlerini belirtir.

References

• Barnes, Jeff M. - Coulton, Lane – Dickinson, T. – Dransfield, S. – Field, J. – Fisher, N. – Saunders, I. – Shaw, D. (1998), A New Approach to Performance Measurement For Small and Medium Enterprises. Cambridge, Proceedings of the Performance Measurement – Theory and Practice Conference, Cambridge, 14–17 July. U.K.
• Bititci, Umit - Carrie, Allan - Mcdevitt Liam (1997), “Integrated Performance Measurement Systems: A Development Guide”, International Journal of Operations and Production Management, 17(5), 522-534.
• Bowlby, Raynna (2012), “Living the Future: Organizational Performance Assessment”, Journal of Library Administration, 52, 626–652.
• Costello, Sheila J. (1994), Effective Performance Management. McGraw Hill, New York.
• Cornelius, Nelarine (2001), Human Resource Management (2nd Ed.). Thomson Learning Yayınları, New York.
• Cross, Kelvin F. - Lynch, Richard L. (1991), Measure Up- The Essential Guide to Mesuring Business Performance. Londra, Mandarin.
• Dadzie, Charlene A. - Winston, Evelyn. M. - Dadzie, Kofi Q. (2012), “Organizational Culture, Competitive Strategy, and Performance in Ghana Charlene”, Journal of African Business, 13(3), 172-182.
• Fashami, Vajiheh A. - Moghadam, Mohammad M. (2013), “Studying the Relation Between Organizational Mission as an Encouraging Factor and Performance Improvement of Human Resources”, Australian Journal of Basic and Applied Sciences, 7(4), 608-612.
• Felek, Sevi - Yuluğkural, Yıldız - Aladağ, Zerrin (2007), “Mobil İletişim Sektöründe Pazar Paylaşımının Tahmininde AHP ve ANP Yöntemlerinin Kıyaslaması”, Makine Mühendisleri Odası Endüstri Mühendisleri Dergisi, 18(1), 6-22.
• Franco-Santos, Rita M. (2007), “Towards A Definition of A Business Performance Measurement System”, International Journal of Operations and Production Management, 27(8), 784-801.
• Garengo, Patrizia - Biazzo, S., ve Bititci, Umit S. (2005), “Performans Measurement Systems in SMEs: A Review for a Research Agenda”, International Journal of Management Reviews, 7(1), 25-47.
• Ghalayini, Alaa M. - Noble, James S. (1997), “The Changing Basis of Performance Measurement”, International Journal of Operations and Production Management, 16(8), 63-80.
• Gyula, Laszlo F. (2013), “Analysis of the impact of the supply chain performance on the overall Organizational performance”, Annals of the university of Oradea, Economic Science, 1, 1505-1510.
• İnsan Kaynakları ve Yönetim Dergisi (1999), Birinci Performans Değerleme Yönetimi Zirvesi 17-18 Kasım 1998, İstanbul.
• Kaplan, Robert S. -Norton, David P. (1992), The Balanced Scorecard, Harvard Business Rewiew (1), Boston.
• Kaplan, Robert S. -Norton, David P. (1992), The Balanced Scorecard-Measures That Drive Performance, Harvard Business Rewiew, Boston.
• Kaplan, Robert S. -Norton, David P. (1996), Translating the Strategy into Action - The Balanced Scorecard, Harvard Business School Press, Boston, MA.
• Liu, Yu D. (2009), Implementing and Evaluating Performance Measurement Initiative in Public Leisure Facilities: An Action Research Project, System Pract. Action Res., 22, 15-30.
• Liviu, Christian (2013), “Organizational Culture and Strategy. How does it work? An Empirical Research”, Annals of the University of Oradea: Economic Science, 1(1), 1690-1697.
• Mckenna, Eugene - Beech, Nic (2002), Human Resources Management: A Concise Analysis, Pearson Education Limited (174), Great Britain.
• Mosconi, Elaine - Roy, Marie C. (2013), “Linking Knowledge Management and Organizational Performance”, International Business Research, 6(9), 68-76.
• Neely, Andy - Gregory, Mike - Platts, Ken (1995), “Performance Measurement System Design: A Literature Review and Research Agenda”, International Journal of Operations and Production Management, 15(4), 80-116.
• Neely, Andy - Mills, John - Platts, Ken - Richards, Huw - Gregory, Mike – Bourne, Mike – Kennerley, Mike (2000), “Performance Measurement System Desing: Developing and Testing a Process-based Approach”, International Journal of Operations and Production Management, 20(10), 692-704.
• Noruzy, Ali - Dalfard, Vahid M. - Azhdari Behnaz- Nazari, Salman (2013), “Relations between transformational leadership, organizational learning, knowledge management, organizational innovation, and organizational performance: an empirical investigation of manufacturing firms”, Int. J. Adv Manufacturing Technology, 64, 1073-1085.
• Özkeser, Banu (2014), Bütünleşik Akıllı Proje Performans Değerleme Modülü Tasarımı ve Uygulaması, Doktora tezi, Adana.
• Palmer, Margaret J. (1993), Performans Değerlendirmeleri, Rota Yayınları, İstanbul.
• Saaty, Thomas L. (1977), “A scaling Method for Priorities in Hierarchical Structures”, Journal of Mathematical Psychology, 15, 234-281.
• Saaty, Thomas L. (2005), Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks, RWS Publications, Pittsburgh: PA.
• Sarhan, Saad - Fox, Andrew (2013), “Performance Measurement in the UK Construction Industry and its Role in Supporting the Application of Lean Construction Concepts”, Australasian Journal of Construction Economics and Building, 13(1), 23-35.
• Taylor, Frederick W. (1996), The principles of scientific management in J.M. Shafritz & J.S. Ott (Eds.), Classics of organization theory, 66-79. Wadsworth Publishing Company, Belmont, CA.
• The Training Resources and Data Exchange (TRADE) Performance-Based Management Special Interest Group (PBM SIG) (1995), How to Measure Performance: A Handbook of Techniques and Tools, Oak Ridge Assc. Universities, U.S.A.