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1.	Sandberg, Erik, 1978-, et al. (författare) Interactive research framework in logistics and supply chain management : Bridging the academic research and practitioner gap 2022 Ingår i: Technological forecasting & social change. - : Elsevier Inc.. - 0040-1625 .- 1873-5509. ; 178 Tidskriftsartikel (refereegranskat)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.

Sandberg, Erik, 1978-, et al. (författare)
Interactive research framework in logistics and supply chain management : Bridging the academic research and practitioner gap
2022
Ingår i: Technological forecasting & social change. - : Elsevier Inc.. - 0040-1625 .- 1873-5509. ; 178
Tidskriftsartikel (refereegranskat)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.

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