A systematic literature review and critical assessment of model-driven decision support for IT outsourcing

Journal article


Rajaeian, Mehdi, Cater-Steel, Aileen and Lane, Michael. (2017) A systematic literature review and critical assessment of model-driven decision support for IT outsourcing. Decision Support Systems. 102, pp. 42 - 56. https://doi.org/10.1016/j.dss.2017.07.002
AuthorsRajaeian, Mehdi, Cater-Steel, Aileen and Lane, Michael
Abstract

Information technology outsourcing (ITO) is a widely-adopted strategy for IT governance. The decisions involved in IT outsourcing are complicated. Empirical research confirms that a rational and formalized decision-making process results in better decision outcomes. However, formal and systematic approaches for making ITO decisions appear to be scarce in practice. To support organizational decision-makers involved in IT outsourcing (including cloud sourcing), researchers have suggested several decision support methods. To date there is no comprehensive review and assessment of the research in this domain. In this study 133 model-driven decision support research articles for IT outsourcing and cloud sourcing were identified through a systematic literature review and assessed based on a highly-regarded research framework. An analysis of these 133 research articles suggested a range of Multiple Criteria Decision Making (MCDM), optimization and simulation methods to support different IT outsourcing decisions. Our findings raise concerns about the limited use of reference design theories, and the lack of validation and naturalistic evaluation of the decision support artifacts reported in ITO decision support literature. Based on the review, we provide future research directions, as well as a number of recommendations to enhance the rigor and relevance of ITO Decision Support Systems research.

KeywordsIT outsourcing; Cloud sourcing; Model-driven decision support; Research evaluation; Systematic literature review
Year2017
JournalDecision Support Systems
Journal citation102, pp. 42 - 56
PublisherElsevier Inc.
ISSN0167-9236
Digital Object Identifier (DOI)https://doi.org/10.1016/j.dss.2017.07.002
Scopus EID2-s2.0-85023619130
Page range42 - 56
Research GroupPeter Faber Business School
Publisher's version
File Access Level
Controlled
Place of publicationNetherlands
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