Honoring complexity in sustainable supply chain research: a rough set theoretic approach (SI:ResMeth)

Chunguang Bai*, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

Sustainable supply chain management (SSCM) faces greater complexity because it considers additional stakeholder requirements, broader sustainable performance objectives, increased sustainable business practices and technologies, and relationships among those entities. These additional complexities make SSCM more difficult to manage and operate than traditional supply chains. Complex systems require new methods for research especially given reductionist research paradigms of modern science. Rough set theory (RST) can be a valuable tool that will help address complexity in SSCM research and practice. To exemplify RST usefulness and applicability, an illustrative application using sustainable supply chain practices (SSCP), and environmental and economic performance outcomes is introduced. The conceptual case provides nuanced insights for researchers and practitioners in mitigating and evaluating various SSCM complexities. RST limitations and extensions are introduced.

Original languageEnglish
Peer-reviewed scientific journalProduction Planning and Control
Volume29
Issue number16
Pages (from-to)1367-1384
Number of pages18
ISSN0953-7287
DOIs
Publication statusPublished - 28.01.2019
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Sustainability
  • supply chain management
  • complexity
  • rough set theory
  • environment
  • greening

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