A systematic literature review and critical assessment of model-driven decision support for IT outsourcing
Article
Article Title | A systematic literature review and critical assessment of model-driven decision support for IT outsourcing |
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ERA Journal ID | 17833 |
Article Category | Article |
Authors | Rajaeian, Mohammad Mehdi (Author), Cater-Steel, Aileen (Author) and Lane, Michael (Author) |
Journal Title | Decision Support Systems |
Journal Citation | 102, pp. 42-56 |
Number of Pages | 15 |
Year | 2017 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0167-9236 |
1873-5797 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.dss.2017.07.002 |
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. |
Keywords | IT outsourcing, cloud sourcing, model-driven decision support, research evaluation, systematic literature review |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Public Notes | 3rd place winner of the USQ Publication Excellence Awards for Journal Articles published during the period July-September 2017. |
Byline Affiliations | School of Management and Enterprise |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4641/a-systematic-literature-review-and-critical-assessment-of-model-driven-decision-support-for-it-outsourcing
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