Data-Driven Evidential Reasoning Method for Evaluating e-Government Performance

Ying Yang, Rui-Xue Lu (), Min Xue (), Zhi-Qin Shou (), Jian-Bo Yang () and Lei Fu ()
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Ying Yang: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, P. R. China
Rui-Xue Lu: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, P. R. China
Min Xue: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, P. R. China
Zhi-Qin Shou: School of Management, Hefei University of Technology, Hefei, 230009, Anhui, P. R. China
Jian-Bo Yang: #x2020;Alliance Manchester Business School, The University of Manchester, Manchester M15 6PB, UK
Lei Fu: #x2021;College of Economics and Management, Anhui Agricultural University, Hefei 230061, Anhui, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2021, vol. 20, issue 01, 261-285

Abstract: The construction of electronic government (e-government) systems is a process of continuous improvement. It is necessary to evaluate the performance of e-government systems regularly to improve the services provided by government agencies and enhance the exchange of information between governments and citizens. Evaluating e-government performance based on citizens’ experience is a multiple criterion decision making (MCDM) problem under uncertainty, where assessments are qualitative, and many e-government system users are involved. Deriving criterion weights from a large amount of evaluation data is rarely discussed in previous MCDM studies. This paper proposes a data-driven evidential reasoning (DDER) method for evaluating e-government performance. A criteria framework from the citizens’ experience perspective, including service guide clarity, site usability, information sharing, documentation, and the availability of e-services, is proposed. Belief structures are used to portray uncertain assessments from e-government system users. The criterion weights are learned from the data by minimizing the dissimilarity between the aggregation assessments of the alternatives on each criterion and citizens’ historical observations on a whole. A case study is conducted in 16 cities of Anhui province in China to evaluate the performance of e-government systems. The ranking results verified the applicability and effectiveness of the proposed method.

Keywords: E-government performance evaluation; data-driven; evidential reasoning; weight learning (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219622020500479

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