Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study

In this research, the factors affectinguniversity employees’ motivation and productivity are identified and classified in seven groups; the impact of each motivation factor on the productivity is presented by ANP fuzzy model.Eight universities in Iran were analyzed in this research work. The aim of...

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Main Authors: Ali Mostafaeipour, Hasan Khademi Zare, Tahere Aliheidari, Ahmad Sedaghat
Format: Article
Language:English
Published: Islamic Azad University, Qazvin Branch 2018-07-01
Series:Journal of Optimization in Industrial Engineering
Subjects:
Online Access:http://www.qjie.ir/article_538343_49199514bcfa1842c18996c00c547cdf.pdf
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author Ali Mostafaeipour
Hasan Khademi Zare
Tahere Aliheidari
Ahmad Sedaghat
author_facet Ali Mostafaeipour
Hasan Khademi Zare
Tahere Aliheidari
Ahmad Sedaghat
author_sort Ali Mostafaeipour
collection DOAJ
description In this research, the factors affectinguniversity employees’ motivation and productivity are identified and classified in seven groups; the impact of each motivation factor on the productivity is presented by ANP fuzzy model.Eight universities in Iran were analyzed in this research work. The aim of this study is to explore the productivity of employees. This paper attempts to give new insights intodesigning the portfolio factors, motivating employees for productivity improvement by implementing BLP and ANP fuzzy models.The research results show that there is a positive and significant relationship among reward system, motivation factors, and human resources productivity. In addition, among the options of reward system, the factors of internal (inherent) reward, non-financial external reward, and financial external reward had the highestimpact on increasing motivation and productivity factors. At the next stage, a BLP model is designed according to the importance and impact of each reward system option on motivation and productivity factors and organization limitations, including budget, facilities, and conditions to design portfolio factors motivating employees with the aim of improving productivity. The research results show that actualizing performance evaluation, receiving the feedback from the results of doing tasks by different ways, providing an opportunity for all employees to progress, coordination between job specifications and employees’ abilities, and a manager competency are very critical for improving the organization productivity.
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spelling doaj.art-d8c35092614846049f8e2dfe11917b6b2022-12-22T03:47:22ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352018-07-01112253510.22094/joie.2018.507.18538343Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case StudyAli Mostafaeipour0Hasan Khademi Zare1Tahere Aliheidari2Ahmad Sedaghat3Industrial Engineering Department, Yazd University, Yazd, IranIndustrial Engineering Department, Yazd University, Yazd, IranIndustrial Engineering Department, Yazd University, Yazd, IranAustalian College in Kuwait.In this research, the factors affectinguniversity employees’ motivation and productivity are identified and classified in seven groups; the impact of each motivation factor on the productivity is presented by ANP fuzzy model.Eight universities in Iran were analyzed in this research work. The aim of this study is to explore the productivity of employees. This paper attempts to give new insights intodesigning the portfolio factors, motivating employees for productivity improvement by implementing BLP and ANP fuzzy models.The research results show that there is a positive and significant relationship among reward system, motivation factors, and human resources productivity. In addition, among the options of reward system, the factors of internal (inherent) reward, non-financial external reward, and financial external reward had the highestimpact on increasing motivation and productivity factors. At the next stage, a BLP model is designed according to the importance and impact of each reward system option on motivation and productivity factors and organization limitations, including budget, facilities, and conditions to design portfolio factors motivating employees with the aim of improving productivity. The research results show that actualizing performance evaluation, receiving the feedback from the results of doing tasks by different ways, providing an opportunity for all employees to progress, coordination between job specifications and employees’ abilities, and a manager competency are very critical for improving the organization productivity.http://www.qjie.ir/article_538343_49199514bcfa1842c18996c00c547cdf.pdfANP fuzzyBLPReward systemproductivityMotivationUniversity
spellingShingle Ali Mostafaeipour
Hasan Khademi Zare
Tahere Aliheidari
Ahmad Sedaghat
Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
Journal of Optimization in Industrial Engineering
ANP fuzzy
BLP
Reward system
productivity
Motivation
University
title Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
title_full Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
title_fullStr Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
title_full_unstemmed Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
title_short Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
title_sort implementing bounded linear programming and analytical network process fuzzy models to motivate employees a case study
topic ANP fuzzy
BLP
Reward system
productivity
Motivation
University
url http://www.qjie.ir/article_538343_49199514bcfa1842c18996c00c547cdf.pdf
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AT taherealiheidari implementingboundedlinearprogrammingandanalyticalnetworkprocessfuzzymodelstomotivateemployeesacasestudy
AT ahmadsedaghat implementingboundedlinearprogrammingandanalyticalnetworkprocessfuzzymodelstomotivateemployeesacasestudy