ORCID
- Shaofeng Liu: 0000-0002-8330-3335
Abstract
Agri-food supply chains (AFSCs) link produce from farm-to-fork. Over 80% of businesses operating in AFSCs are small and medium-sized enterprises (SMEs) that lack the necessary resources to make knowledge accessible and usable to other stakeholders. To enhance AFSCs’ performance, we adopt an integrated approach to analyze factors affecting knowledge mobilization (KMob) across boundaries. Thematic analysis of data collected from interviews reveals 11 KMob factors. We apply total interpretive structural modeling (TISM) to identify influential relationships among these factors, and fuzzy cross-impact matrix multiplication applied to classification (MICMAC) to distinguish each factor’s role in the system. Our results complement previous studies in showing that power and national culture are critical KMob factors with the greatest ability to elicit other factors. Our study has implications for SME management teams, focal companies of AFSCs and governments.
DOI Link
Publication Date
2023-01-01
Publication Title
Journal of Business Research
Volume
164
ISSN
0148-2963
Acceptance Date
2023-04-25
Deposit Date
2023-11-07
Embargo Period
2023-07-13
Funding
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Keywords
Knowledge mobilization, Boundary-crossing mechanisms, Knowledge boundaries, Total interpretive structural modeling, Fuzzy MICMAC analysis, Agri-food supply chains
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Zhao, G., Chen, H., Liu, S., Dennehy, D., Jones, P., & Lopez, C. (2023) 'Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach', Journal of Business Research, 164. Available at: 10.1016/j.jbusres.2023.114006
