Collaborative academic–industry SCM research and knowledge building

Xiaohong Liu, Yen Chun Jim Wu, Mark Goh

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


This empirical study represents the first attempt to explore how academics and practitioners engage each other in the Supply Chain Management (SCM) discipline, and provides a better understanding of collaborative SCM research between both parties. A two-pronged approach, involving a content analysis and an e-mail survey, is employed to explore the issues on collaborative SCM research. We examine 131 articles co-authored by both scholars and practitioners of 6 SCM journals from 2003 to 2013. Specifically, we analyse the motivations, expectations, and communication involved in the process of collaborative research. Our findings suggest that academics and practitioners can partner as co-investigators in research collaboration to better explore an array of SCM phenomena embedded in SCM practice. Further, building collaborative SCM knowledge relationships expedites collaboration and benefits SCM knowledge learning, transfer, and co-production. The development of practice-based scientific SCM knowledge is useful for SCM theory building and serves to bridge the gap between rigour and relevance.

Original languageEnglish
Pages (from-to)19-40
Number of pages22
JournalInternational Journal of Logistics Research and Applications
Issue number1
Publication statusPublished - 2016 Jan 2


  • collaboration
  • collaborative SCM research
  • Supply Chain Management
  • survey

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Management Science and Operations Research


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