Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/104559
| Title: | Information system selection for a supply chain based on current trends : the BRIGS approach | Authors: | Samvedi, A Jain, V Chan, FTS Chung, SH |
Issue Date: | Sep-2018 | Source: | Neural computing and applications, Sept 2018, v. 30, no. 5, p. 1619-1633 | Abstract: | Information systems are very crucial in today’s organizations, and hence the selection of the right system has become a very critical decision. 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. | Keywords: | Big data Fuzzy DEMATEL Fuzzy TOPSIS Green supply chain Information security Information systems Supply chain management |
Publisher: | Springer UK | Journal: | Neural computing and applications | ISSN: | 0941-0643 | EISSN: | 1433-3058 | DOI: | 10.1007/s00521-016-2776-8 | Rights: | © The Natural Computing Applications Forum 2016 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00521-016-2776-8. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Chan_Information_System_Selection.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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