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Information Journal Paper

Title

DETERMINED OF PRODUCTIVITY FACTORS BY MULTI-ATTRIBUTE DECISION MAKING MODELS

Pages

  1-16

Abstract

 Productivity increasingly became an important topic in organizations. Many factors draw attentions to PRODUCTIVITY including complexity and dynamics of economical and social environments, increasing population and consumption. However, PRODUCTIVITY is affected by many other factors. These factors are neither similar nor have the same weight in different organizations. The question is which factors and to what extent they should be stressed if the PRODUCTIVITY is going to improve. This paper elaborates a methodology to answer this question in the context of an Iranian bank of Refah-e-Karegaran. A multi-attribute decision model is developed and then the main factors are identified and classified. Using statistical methods we used for primary filteration and then the selected factors are prioritized using ELECTER, AHP and TOPSIS. Finally, using Fridman and Kruskal- Wallis tests deviations are analyzed and AHP is selected as the best solution.

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References

Cite

APA: Copy

AZAR, A., & ZAREII, A.. (2003). DETERMINED OF PRODUCTIVITY FACTORS BY MULTI-ATTRIBUTE DECISION MAKING MODELS. DANESHVAR MEDICINE, 10(42), 1-16. SID. https://sid.ir/paper/30539/en

Vancouver: Copy

AZAR A., ZAREII A.. DETERMINED OF PRODUCTIVITY FACTORS BY MULTI-ATTRIBUTE DECISION MAKING MODELS. DANESHVAR MEDICINE[Internet]. 2003;10(42):1-16. Available from: https://sid.ir/paper/30539/en

IEEE: Copy

A. AZAR, and A. ZAREII, “DETERMINED OF PRODUCTIVITY FACTORS BY MULTI-ATTRIBUTE DECISION MAKING MODELS,” DANESHVAR MEDICINE, vol. 10, no. 42, pp. 1–16, 2003, [Online]. Available: https://sid.ir/paper/30539/en

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