Information system selection for a supply chain based on current trends: the BRIGS approach

Avinash Samvedi, Vipul Jain, Tung Sun Chan, Sai Ho Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

As time has progressed, with new issues affecting the supply chain and the performance metrics being continually rewritten, the responsibility of the information systems has increased manifold. Nowadays, information systems are expected to perform a number of functions such as information security, big data handling, green supply chain and risk management and thus the basic problem of system selection is now more complex. Also, adding to the complexity is the fact that these new issues are interdependent and most of the times influence other issues in a variety of direct or indirect ways. This study addresses this problem by proposing a new model for information system selection by incorporating the latest trends in the supply chain. It also proposes an integrated methodology, to solve such a problem where interdependence between criteria exists. The advantages of this methodology over other existing techniques are delinking the evaluation of interdependent criteria weights from performance evaluation, flexibility of inputs, ability to handle vagueness and uncertainty in judgements. The methodology is illustrated using a numerical example.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalNeural Computing and Applications
DOIs
Publication statusAccepted/In press - 21 Dec 2016

Keywords

  • Big data
  • Fuzzy DEMATEL
  • Fuzzy TOPSIS
  • Green supply chain
  • Information security
  • Information systems
  • Supply chain management

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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