Interactive research framework in logistics and supply chain management: Bridging the academic research and practitioner gap

Erik Sandberg, Pejvak Oghazi, Koteshwar Chirumalla and Pankaj C. Patel

Technological Forecasting and Social Change, 2022, vol. 178, issue C

Abstract: Logistics and supply chain management (SCM) practice has grown in scope and complexity in recent years. A challenge for research in logistics and SCM is to create value for both academics and practitioners. The purpose of this paper is to introduce interactive research (IR) into the domain of logistics and SCM research and to describe the lessons learned from the implementation of this research approach. Compared to traditional empirical research methods, IR takes place in a context where inferences are co-produced in collaboration with practitioners. Taking an academic–practitioner lens, we draw on the IR framework to develop a deeper understanding of academic and practitioner exchanges in the increasingly complex and multidimensional domain of logistics and supply chain research. In addition to introducing the IR approach, based on four collaborative research projects, we outline and provide potential solutions to challenges arising from IR. Introducing IR to logistics and SCM research could enrich the understanding of collaborative research approaches and could act as a catalyst to its wider adoption in future research.

Keywords: Interactive research; Action research; Collaborative research; Methodology; Logistics; Supply chain management (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522000956
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:178:y:2022:i:c:s0040162522000956

DOI: 10.1016/j.techfore.2022.121563

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().