A Fuzzy Expert Oriented Model for Innovation Evaluation (A Case Study of Ansar Bank)

Subject Areas : Strategic Management Researches

navid mohebali ¹ , mohammad mehdi Dehghan ² , Alireza Arab ³ , Jalil Safari ⁴

1 - ...
2 - Faculty of management, university of Tehran
3 - ...
4 - ...

Received: 2017-01-07 Accepted : 2017-05-19 Published : 2018-05-22

Keywords: Bank, Multi-Criteria Decision Making, Best-worst Method, Fuzzy MULTIMOORA, Innovation.  ,

Abstract :

Innovation capability plays an important role in a business continuity and provides the ability for effective competition of organizations in the unstable environment of the present society.Since banks are one of the most important service organizations, they need remarkable innovation. This will attract new customers among the other competitors .So, innovation assessment would help them effectively.This study aims to provide a fuzzy hybrid expert model for assessment of banks innovation. In this regard, innovation influencing factors were identified. After all the activities are done, , the factors that are affecting the Banks innovation are recognized by experts. Then, these factors are weighted by using Best-Worst multi-criteria decision making method and experts opinion. Then, by using fuzzy MULTIMOORA method, 6 branches of Ansar Bank assessed as a case study. The results of this survey indicate that strategic factors, internal factors and the customer are the most important factors affecting innovation in the banking field and also the bank perspective is identified as the most important sub-criteria. Finally, based on the results of this research, some implementation and research recommendations were provided.

References:

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