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题名Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead
作者
发表日期2020
发表期刊Expert Systems with Applications
ISSN0957-4174
卷号140
摘要

Supplier selection (SS) is considered a sophisticated, application-oriented, decision-making (DM) problem and has received considerable attention. In the past two decades, DM theories and techniques continue to be incorporated into and contribute to the development of SS applications. Maintaining the pace of the rapid transitions in this field, this paper systematically reviews the relevant articles published between 2013 and 2018. Articles that orient various DM techniques are selected and analyzed under a well-established framework. State-of-the-art developments in the adoption of DM techniques are summarized in a SS process. We pay particular attention to promising directions that can dominate future research in this field. This paper further extends the history of several interacting fields, including big data and economic theories, toward methodological rather than application dimensions. The potential of such fields for SS is discussed from an interdisciplinary perspective. © 2019

关键词Artificial intelligence Big data Decision making Literature review Multiple criteria Supplier selection
DOI10.1016/j.eswa.2019.112903
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收录类别SCIE ; SSCI
语种英语English
WOS研究方向Computer Science ; Engineering ; Operations Research & Management Science
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号WOS:000495470700043
引用统计
被引频次:137[WOS]   [WOS记录]     [WOS相关记录]
文献类型评论文章
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/4728
专题工商管理学院
作者单位
1.Division of Business and Management, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China
2.Department of Management and Marketing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, Hong Kong
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Chai, Junyi,Ngai, Wai Ting Eric. Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead. 2020.
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