TY - JOUR
T1 - Selecting most efficient information system projects in presence of user subjective opinions
T2 - a DEA approach
AU - Toloo, Mehdi
AU - Nalchigar, Soroosh
AU - Sohrabi, Babak
N1 - Funding Information:
Acknowledgements The research was supported by the European Social Fund (CZ.1.07/2.3.00/20.0296) and the Czech Science Foundation (GACˇ R 16-17810S). All support is greatly acknowledged.
Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - 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.
AB - 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.
KW - Data envelopment analysis
KW - Information systems
KW - Performance evaluation
KW - Project management
KW - Selection-based problems
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U2 - 10.1007/s10100-018-0549-4
DO - 10.1007/s10100-018-0549-4
M3 - Article
AN - SCOPUS:85046888515
SN - 1435-246X
VL - 26
SP - 1027
EP - 1051
JO - Central European Journal of Operations Research
JF - Central European Journal of Operations Research
IS - 4
ER -