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Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach

Guoqing Zhao, Huilan Chen, Shaofeng Liu, Denis Dennehy Orcid Logo, Paul Jones Orcid Logo, Carmen Lopez

Journal of Business Research, Volume: 164, Start page: 114006

Swansea University Authors: Guoqing Zhao, Denis Dennehy Orcid Logo, Paul Jones Orcid Logo

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DOI (Published version): 10.1016/j.jbusres.2023.114006

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 integrat...

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Published in: Journal of Business Research
ISSN: 0148-2963 1873-7978
Published: Elsevier 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa63261
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first_indexed 2023-05-11T08:09:02Z
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spelling v2 63261 2023-04-27 Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach 2ff29aa347835abe2af6d98fa89064b4 Guoqing Zhao Guoqing Zhao true false ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2023-04-27 BBU 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. Journal Article Journal of Business Research 164 114006 Elsevier 0148-2963 1873-7978 Knowledge mobilization, boundary-crossing mechanisms, knowledge boundaries, total interpretive structural modeling, fuzzy MICMAC analysis, agri-food supply chains 1 9 2023 2023-09-01 10.1016/j.jbusres.2023.114006 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2023-12-22T08:07:36.3621565 2023-04-27T11:22:20.1028044 Faculty of Humanities and Social Sciences School of Management - Business Management Guoqing Zhao 1 Huilan Chen 2 Shaofeng Liu 3 Denis Dennehy 0000-0001-9931-762X 4 Paul Jones 0000-0003-0417-9143 5 Carmen Lopez 6 63261__27570__467ecb2a0d244ddab2175f9fa4f30334.pdf 63261.pdf 2023-05-22T15:32:53.8500227 Output 1367942 application/pdf Version of Record true © 2023 The Author(s). Published by Elsevier Inc. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/
title Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
spellingShingle Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
Guoqing Zhao
Denis Dennehy
Paul Jones
title_short Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
title_full Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
title_fullStr Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
title_full_unstemmed Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
title_sort Analysis of factors affecting cross-boundary knowledge mobilization in agri-food supply chains: An integrated approach
author_id_str_mv 2ff29aa347835abe2af6d98fa89064b4
ba782cbe94139075e5418dc9274e8304
21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv 2ff29aa347835abe2af6d98fa89064b4_***_Guoqing Zhao
ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author Guoqing Zhao
Denis Dennehy
Paul Jones
author2 Guoqing Zhao
Huilan Chen
Shaofeng Liu
Denis Dennehy
Paul Jones
Carmen Lopez
format Journal article
container_title Journal of Business Research
container_volume 164
container_start_page 114006
publishDate 2023
institution Swansea University
issn 0148-2963
1873-7978
doi_str_mv 10.1016/j.jbusres.2023.114006
publisher Elsevier
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description 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.
published_date 2023-09-01T08:07:36Z
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