TITLE:
Ranking of Leagility Factors Based on Job Satisfaction through a Combinatory Model of Fuzzy TOPSIS and AHP (Case Study: M.R.I Hospital, Shiraz, Iran)
AUTHORS:
Hasan Dehghan Denavi, Mohammad Mirabi, Afarin Rezaei
KEYWORDS:
Lean, Agility, Job Satisfaction, Organization
JOURNAL NAME:
Open Journal of Business and Management,
Vol.6 No.1,
December
11,
2017
ABSTRACT: The main purpose of this study is to identify and rank leagility factors based
on job satisfaction in the M.R.I Hospital, Shiraz, Iran. From the purpose point
of view, this research is an applied research. In this research two methods of
fuzzy tops are the Analytical Hierarchy Process (AHP) to compute the inconsistency
rate, and rank the job satisfaction criteria AHP is employed; afterwards
the fuzzy TOPSIS is used to rank the lean-agile criterions. In all the
committed pairwise comparisons the consistency rate has scored less than 0.1
and ranking has been carried out. Results obtained from this research indicate
ranking of the criteria, and also reveal the importance of the organizational
factors with the most weight (0.686), and then the environmental factors with
a weight of 0.126 and finally factors associated with nature of work with a
weight of 0.098. Moreover result of fuzzy TOPSIS demonstrates that, having
the highest closeness coefficient, providing high quality services has the highest
priority among the criteria. The importance of other criteria is as follows:
on time services, competency, responsiveness, flexibility, speed, and waste reduction.
It can be a benchmarking for researches and decision makers to apply
the results of this research.