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Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach

Mehdi Toloo (), Soroosh Nalchigar () and Babak Sohrabi ()
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Mehdi Toloo: Technical University of Ostrava
Soroosh Nalchigar: University of Toronto
Babak Sohrabi: University of Tehran

Central European Journal of Operations Research, 2018, vol. 26, issue 4, 1027-1051

Abstract: Abstract Information System (IS) project selection is a critical decision making task that can significantly impact operational excellence and competitive advantage of modern enterprises and also can involve them in a long-term commitment. This decision making is complicated due to availability of numerous IS projects, their increasing complexities, importance of timely decisions in a dynamic environment, as well as existence of multiple qualitative and quantitative criteria. This paper proposes a Data Envelopment Analysis approach to find most efficient IS projects while considering subjective opinions and intuitive senses of decision makers. The proposed approach is validated by a real world case study involving 41 IS projects at a large financial institution as well as 18 artificial projects which are defined by the decision makers.

Keywords: Information systems; Project management; Data envelopment analysis; Performance evaluation; Selection-based problems (search for similar items in EconPapers)
Date: 2018
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