A Fuzzy TOPSIS Method for Selecting An E-banking Outsourcing Strategy

Ahad Zare Ravasan, Payam Hanafizadeh, Laya Olfat and Mohammad Taghi Taghavifard
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Ahad Zare Ravasan: Department of Industrial Management, Faculty of Management and Accountancy, Allameh Tabataba'i University, Tehran, Iran
Payam Hanafizadeh: Department of Industrial Management, Faculty of Management and Accountancy, Allameh Tabataba'i University, Tehran, Iran
Laya Olfat: Department of Industrial Management, Faculty of Management and Accountancy, Allameh Tabataba'i University, Tehran, Iran
Mohammad Taghi Taghavifard: Department of Industrial Management, Faculty of Management and Accountancy, Allameh Tabataba'i University, Tehran, Iran

International Journal of Enterprise Information Systems (IJEIS), 2017, vol. 13, issue 2, 34-49

Abstract: Selecting the appropriate IT outsourcing (ITO) strategy is important for firms in general and banking institutions in particular to achieve expected benefits, but it remains complex, risky and lengthy process for clients to select the appropriate ITO strategy. Previous academic efforts to support ITO decision incorporated a limited number of factors, which is over-simplification of multi-faceted real world problems. In this paper, after doing in-depth literature review for identifying influencing factors on such ITO decisions, a model with an application of Fuzzy TOPSIS based approach is proposed to rank and prioritize the alternatives. Throughout this study, the authors use data from a real banking case to run the model for supporting outsourcing decision for five ATM, POS, tele-banking, mobile, and internet-banking services. The proposed model can help ITO decision makers advance their decision making process, especially where parameters involve uncertainties and hardly can be assessed by human judgment.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jeis00:v:13:y:2017:i:2:p:34-49

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