MEASURING TOTAL PRODUCTIVITY OF TURKISH MANUFACTURING INDUSTRY BASED ON ACCOUNTING DATA

Yıl 2019, Cilt: 20 Sayı: 2, 431 - 447, 15.12.2019

Dursun Balkan Önder Belgin

Öz

Productivity is still an
important performance measure for the firm level and macroeconomic level. This
study addresses total productivity measurement based on RAPMODS using basic
accounting data for Turkish manufacturing industry for the period of 2006 to
2016. The results obtained from the analysis allows us to understand the total
productivity and the source of the productivity changes related to partial
productivities of the Turkish manufacturing industry. Furthermore, the
potential productivity improvement areas are interpreted owing to these
results.

Anahtar Kelimeler

Total Productivity, Performance Measurement, Manufacturing Industry

Kaynakça

• Hannula, M. (2002). Total productivity measurement based on partial productivity ratios. International Jornal of Production Economics, 78, 57-67.
• Waters, W. G., & Tretheway, M. W. (1999). Comparing Total Factor Productivity and Price Performance: Concepts and Application toCanadian Railways. Journal of Transport Economics and Policy, 33(2), 209-220.
• Lilly, M., Obiajulu, U., Ogaji, S., & Probert, S. (2007). Total productivity analysis of a Nigerianpetroleum-product marketing company. Applied Energy, 84, 1150-1173.
• Miller, D. M., & Rao, P. M. (1989). Analysis of Profit-Linked Total-Factor Productivity Measurement Models at the Firm Level. Management Science, 35(6), 757-767.
• Phusavat, K., & Photaranon, W. (2006). Productivity/performance measurement: Case application at the governmentpharmaceutical organization. Industrial Management & Data Systems, 106(9), 1272-1287.
• Prokopenko, J. (1987:6). Productivity Management: A Practical Handbook. Geneva: International Labor Office.
• Ramsay, M. R. (1973). Overall Productivity Measurement. First World Productivity Congress.
• Rao, M. P. (2006). A performance measurementsystem using a profit-linkedmulti-factor measurement model. Industrial Management & Data Systems, 106(3), 362-379.
• Rao, M. P. (2007). From a black hole to a hole-in-one. Management Accounting Quarterly, 8(2), 32-46.
• Rao, M. P., & Miller, D. M. (2003). Expert systems applications for productivity analysis. Industrial Management & DataSystems, 104(9), 776-785.
• Rao, M. P., & Miller, D. M. (2004). Expert systems applications for productivity analysis. Industrial Management & Data Systems, 104(9), 776-785.
• Rao, M. P., Miller, D. M., & Lin, B. (2005). PET: An expert system for productivity analysis. Expert Systems with Applications, 29, 300-309.
• Rao, M., & Mandal, P. (2012). Evaluating the impact of IT investments: use of a multi-period profit-linked productivity measurement model. International Journal of Business Information Systems, 9(3), 278-294.
• Rao, M., Chhabria, R., Gunasekaran, A., & Mandal, P. (2018). Improving competitiveness through performance evaluation using the APCmodel: A case in micro-irrigation. International Journal of Production Economics, 195, 1-11.
• Sumanth, D. J. (1997). Total Productivity Management: A Systemic and Quantitative Approach to Compete in Quality, Price and Time. CRC Press.