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A model for selecting IT outsourcing strategy: the case of e-banking channels

A model for selecting IT outsourcing strategy: the case of e-banking channels Information Technology Outsourcing (ITO) is a good strategy for firms in general and banking institutions, in particular to reduce operating costs and improve competitiveness, but it remains complex for businesses to scientifically select the appropriate ITO strategy. In this paper, after doing an in-depth literature review, based on the technology, organization, and environment (TOE) framework, 23 factors are identified as influencing factors on e-banking channels’ outsourcing decision. To test the research hypotheses, the Partial Least Squares (PLS) technique is utilized. The results illustrated that 17 out of 23 assumed factors influence banking outsourcing decisions. A fuzzy TOPSIS model using supported factors is proposed to solve the ITO decision problem. Throughout this step, we used data from a real Iranian banking case to demonstrate the applicability of the method for evaluating five possible outsourcing options for five e-banking channels. The validity of the rankings is assessed through experts’ opinions in which they were satisfied by the proposed priority even for the two of the channels where different strategies from the bank’s current practices were proposed. The experts believed that regarding the situation of the channels, the bank itself and the surrounding environment, the bank could benefit more from suggested strategies than currently adopted ones for these two channels. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Global Information Technology Management Taylor & Francis

A model for selecting IT outsourcing strategy: the case of e-banking channels

A model for selecting IT outsourcing strategy: the case of e-banking channels

Journal of Global Information Technology Management , Volume 21 (2): 28 – Apr 3, 2018

Abstract

Information Technology Outsourcing (ITO) is a good strategy for firms in general and banking institutions, in particular to reduce operating costs and improve competitiveness, but it remains complex for businesses to scientifically select the appropriate ITO strategy. In this paper, after doing an in-depth literature review, based on the technology, organization, and environment (TOE) framework, 23 factors are identified as influencing factors on e-banking channels’ outsourcing decision. To test the research hypotheses, the Partial Least Squares (PLS) technique is utilized. The results illustrated that 17 out of 23 assumed factors influence banking outsourcing decisions. A fuzzy TOPSIS model using supported factors is proposed to solve the ITO decision problem. Throughout this step, we used data from a real Iranian banking case to demonstrate the applicability of the method for evaluating five possible outsourcing options for five e-banking channels. The validity of the rankings is assessed through experts’ opinions in which they were satisfied by the proposed priority even for the two of the channels where different strategies from the bank’s current practices were proposed. The experts believed that regarding the situation of the channels, the bank itself and the surrounding environment, the bank could benefit more from suggested strategies than currently adopted ones for these two channels.

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References (91)

Publisher
Taylor & Francis
Copyright
© 2018 Payam Hanafizadeh and Ahad Zare Ravasan
ISSN
2333-6846
eISSN
1097-198X
DOI
10.1080/1097198X.2018.1462070
Publisher site
See Article on Publisher Site

Abstract

Information Technology Outsourcing (ITO) is a good strategy for firms in general and banking institutions, in particular to reduce operating costs and improve competitiveness, but it remains complex for businesses to scientifically select the appropriate ITO strategy. In this paper, after doing an in-depth literature review, based on the technology, organization, and environment (TOE) framework, 23 factors are identified as influencing factors on e-banking channels’ outsourcing decision. To test the research hypotheses, the Partial Least Squares (PLS) technique is utilized. The results illustrated that 17 out of 23 assumed factors influence banking outsourcing decisions. A fuzzy TOPSIS model using supported factors is proposed to solve the ITO decision problem. Throughout this step, we used data from a real Iranian banking case to demonstrate the applicability of the method for evaluating five possible outsourcing options for five e-banking channels. The validity of the rankings is assessed through experts’ opinions in which they were satisfied by the proposed priority even for the two of the channels where different strategies from the bank’s current practices were proposed. The experts believed that regarding the situation of the channels, the bank itself and the surrounding environment, the bank could benefit more from suggested strategies than currently adopted ones for these two channels.

Journal

Journal of Global Information Technology ManagementTaylor & Francis

Published: Apr 3, 2018

Keywords: Banking channels outsourcing decision; Information Technology Outsourcing (ITO) decision; Partial Least Squares (PLS); Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS); Technology, Organization, and Environment (TOE) framework

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