Combined Role of Manpower Ethics and Physical Space Facilities of Bank Branches in Productivity Analysis

Document Type : Research Paper


School of Mathematics, Iran University of Science and Technology, Tehran, Iran


Productivity growth and efficiency improvements are the major sources of economic development. Pure efficiency, scale efficiency, and technology are basic factors, and rules and regulations and balance are recently known factors affecting the productivity growth. This paper focuses on the effect of manpower ethics and physical space facilities of bank branches as two factors affecting the Malmquist productivity index in the bank branches evaluation. The proposed model uses assurance region weight restrictions to increase discrimination power of basic data envelopment analysis models for the constant return to scale technologies. The validity of the proposed model and the extended Malmquist index is confirmed with an empirical case study of 74 branches of aspecializedbank in thehousing sector of Iran in two time periods of 2017 and 2018. The results for both traditional and extended indicesand the effects of manpower ethics and physical space facilities are analyzed.


Article Title [فارسی]

نقش ترکیبی اخلاق نیروی انسانی و فضای فیزیکی شعب بانک در تحلیل بهره‌وری

Authors [فارسی]

  • فاطمه رخشان
  • محمد رضا علیرضایی
دانشکده ریاضی، دانشگاه علم وصنعت ایران، تهران، ایران.
Abstract [فارسی]

رشد بهره‌وری و بهبود کارایی ریشه های اصلی توسعه اقتصادی هستند. کارایی محض، کارایی مقیاسی، و تکنولوژی فاکتورهای اساسی و قوانین و مقررات و توازن، فاکتورهای اخیرا شناخته شده تاثیرگذار در رشد بهره وری هستند. این مقاله روی تاثیر اخلاق نیروی انسانی و امکانات فیزیکی شعبه بانک به عنوان دو فاکتور تاثیرگذار روی شاخص بهره وری مالمکوئیست در ارزیابی در سطح شعب بانک تمرکز می کند. مدل پیشنهادی از محدودیتهای وزنی  برای افزایش قدرت تفکیک پذیری مدلهای پایه تحلیل پوششی داده ها در حالت بازده به مقیاس ثابت استفاده می کند. اعتبار مدل پیشنهادی و شاخص مالمکوئیست توسعه یافته با دیتای واقعی 74 شعبه یک بانک اختصاصی در حوزه مسکن در ایران در دو دوره زمانی 2017 و 2018 تایید می شود. نتایج برای هر دو شاخص سنتی و توسعه یافته و تاثیر فاکتور اخلاق نیروی انسانی و امکانات فیزیکی شعبه آنالیز می‌شود.

Keywords [فارسی]

  • تحلیل پوششی داده‌ها
  • مدیریت رشد بهره‌وری مالمکوئیست
  • اخلاق نیروی انسانی
Alirezaee, M.R., &Afsharian, M. (2010).Improving the discrimination of data envelopment analysis models in multiple time periods.International Transactions in Operational Research,17(5), 667-679.
Alirezaee, M.R., &RajabiTanha, M. (2015).Extending the malmquist index to consider the balance factor of decision making units in a productivity analysis.IMA Journal of Management Mathematics,27(3), 439-452.
Basso, A., &Funari, S. (2007). DEA models for ethical and non-ethical mutual funds. Mathematical Methods in Economics and Finance,2(1), 21-40.
Basso.A., &Funari, S., (2003).Measuring the performance of ethical mutual funds: A DEA approach.Journal of Operational Research Society,54(5), 521-531.
Caves, D., Christensen, L., & Diewert, W. (1982).The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica, 50(6), 1393-1414.
Charnes, A., Cooper, W., Huang, Z., & Sun, D., (1990). Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks.Journal of Econometrics,46(1/2), 73 – 91.
Ding, S., Guariglia, A.,& Harris, R. (2016). The determinants of productivity in Chinese large and medium-sized industrial firms.Journal of Productivity Analysis,45(2), 131-155.
Fare, R., Grosskopf, S., Lindgren, B., &Roose, P. (1992). Productivity change in Swedish analysis pharmacies 1980-1989: A nonparametric Malmquist approach. Journal of Productivity,10(1), 85-102.
Fare, R., Grosskopf, S., Norris, M., &Zhang, A. (1994). Productivity growth, technical progress, and efficiency changes in industrial country. American Economic Review,84(1): 66-83.
Ormerod, R.J., &Ulrich, W. (2013). Operational research and ethics: A literature review. European Journal of Operational Research,228(2), 291-307.
Paradi, J., &Zhu, H. (2013).A survey on bank branch efficiency and performance research with data envelopment analysis.Omega,41(1), 61-79.
Podinovski, V.V., &Thanassoulis, E. (2007).Improving discrimination in data envelopment analysis: Some practical suggestions.Journal of Operational Research Society,28(1), 117-126.
Sowlati, T., &Paradi, J. (2004).Establishing the "practical frontier" in data envelopment analysis.Omega,32(4), 261-272.
Thanassoulis, E., Portela, M.C., & Allen, R. (2004). Incorporating value judgments in DEA. In: Handbook on data envelopment analysis. [edited by W.W. Cooper, L.M. Seiford & J. Zhu], Springer, New York, 99-138.
Thompson, R. G., Langemeier, L., Lee, C., Lee, E., & Thrall, R., (1990). The role of multiplier bounds in efficiency analysis with application to Kansas farming, Journal of Econometrics,46(1/2), 93 – 108.
Triebs, T.P., &Kumbhakar, S.C. (2018). Management in production: From unobserved to observed. Journal of Productivity Analysis,49(2/3), 111-121.
Walheer, B., (2019). Malmquist productivity index for multi-output producers: An application to electricity generation plants. Socio-Economic Planning Sciences,65(3), 76-88.
Wenstøp, F. (2010). Operations research and ethics: Development trends 1966-2009. International Transactions in Operational Research,17(4), 413-426.