TY - JOUR
T1 - Collaborative academic–industry SCM research and knowledge building
AU - Liu, Xiaohong
AU - Wu, Yen Chun Jim
AU - Goh, Mark
N1 - Publisher Copyright:
© 2015 Taylor & Francis.
PY - 2016/1/2
Y1 - 2016/1/2
N2 - 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.
AB - 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.
KW - Supply Chain Management
KW - collaboration
KW - collaborative SCM research
KW - survey
UR - http://www.scopus.com/inward/record.url?scp=84966671733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966671733&partnerID=8YFLogxK
U2 - 10.1080/13675567.2015.1065801
DO - 10.1080/13675567.2015.1065801
M3 - Article
AN - SCOPUS:84966671733
SN - 1367-5567
VL - 19
SP - 19
EP - 40
JO - International Journal of Logistics Research and Applications
JF - International Journal of Logistics Research and Applications
IS - 1
ER -