The impact of knowledge governance mechanisms on supply chain performance: empirical evidence from the agri-food industry

dc.contributor.affiliationUniversity of Plymouth
dc.contributor.affiliationUniversity of Liverpool
dc.contributor.affiliationUniversidad de Las Americas - Chile
dc.contributor.affiliationSolent University
dc.contributor.affiliationUniversity of Southampton
dc.contributor.authorZhao, Guoqing
dc.contributor.authorHernandez Hormazabal, Jorge
dc.contributor.authorElgueta, Sebastian
dc.contributor.authorManzur, Juan Pablo
dc.contributor.authorLiu, Shaofeng
dc.contributor.authorChen, Huilan
dc.contributor.authorLopez, Carmen
dc.contributor.authorKasturiratne, Dulekha
dc.contributor.authorChen, Xiaoning
dc.date.accessioned2024-09-03T19:19:27Z
dc.date.available2024-09-03T19:19:27Z
dc.date.issued2020-08-27
dc.description.abstractThe agri-food supply chain (AFSC) is an extremely complex structure that comprises a series of events from farm-to-fork. Additionally, there is a wide range of information and material flows that require to be managed, which are seen as the knowledge flow in the AFSCs. It is expected that the use of knowledge governance mechanisms (KGMs) will help in enhancing AFSC performance. To examine the impact of KGMs on AFSC performance, a mixed methods research design was applied. First, semi-structured interviews were conducted to collect data. Then, themes were generated through thematic analysis. Afterwards, relationships between KGMs and AFSC performance were built by using total interpretive structural modelling (TISM). Finally, questionnaire-based structured interviews were undertaken to evaluate the empirical and theoretical findings further. The research results indicate that trust-, reciprocity-, market-, and contract-based KGMs have positive effects on product quality, efficiency, flexibility, responsiveness, and process quality of AFSC. Furthermore, market-based KGM, located in the lowest level in the TISM hierarchy, should be given additional focus due to its role as a key force driving the higher level of AFSC performance and other KGMs. The findings provide AFSC practitioners with useful guidance on how the relationships between KGMs and AFSC performance should be managed to improve the performance of AFSC.
dc.description.sponsorshipEuropean Commission under the Horizon 2020 Programme (H2020-MSCA-RISE Award) [691249]; The work reported in this paper is benefited from the RUC-APS project funded by the European Commission under the Horizon 2020 Programme (H2020-MSCA-RISE Award No. 691249).
dc.format.mimetypeapplication/pdf
dc.identifier.citationProduction Planning and Control, 32(15), 1313-1336. https://doi.org/10.1080/09537287.2020.1809023
dc.identifier.doihttps://doi.org/10.1080/09537287.2020.1809023
dc.identifier.issn0953-7287
dc.identifier.orcidhttps://orcid.org/0000-0002-5510-1920
dc.identifier.orcidhttps://orcid.org/0009-0000-1959-0918
dc.identifier.orcidhttps://orcid.org/0000-0002-8330-3335
dc.identifier.orcidhttps://orcid.org/0000-0002-5931-5889
dc.identifier.researcheridA-5164-2014
dc.identifier.researcheridKSM-6727-2024
dc.identifier.rorhttps://ror.org/008n7pv89
dc.identifier.rorhttps://ror.org/04xs57h96
dc.identifier.rorhttps://ror.org/000w0ky84
dc.identifier.rorhttps://ror.org/002kg1049
dc.identifier.rorhttps://ror.org/0166e9x11
dc.identifier.rorhttps://ror.org/01ryk1543
dc.identifier.scopusauthorid57198576874
dc.identifier.scopusauthorid34975053700
dc.identifier.scopusauthorid36086032800
dc.identifier.scopusauthorid58321678700
dc.identifier.scopusauthorid24174685600
dc.identifier.scopusauthorid56651306100
dc.identifier.scopusauthorid43061233800
dc.identifier.scopusauthorid55209876300
dc.identifier.scopusauthorid57218648548
dc.identifier.urihttps://repositorio.udla.cl/handle/udla/1474
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.fundingHorizon 2020 Framework Programme, H2020, (691249)
dc.relation.fundingHorizon 2020 Framework Programme, H2020
dc.relation.fundingEuropean Commission, EC
dc.relation.fundingEuropean Commission under the Horizon 2020 Programme (H2020-MSCA-RISE Award) [691249]
dc.relation.isindexedbyWeb of Science
dc.relation.issn0953-7287
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.sourcePRODUCTION PLANNING & CONTROL
dc.source.urihttps://doi.org/10.1080/09537287.2020.1809023
dc.subjectKnowledge governance mechanisms
dc.subjectagri-food supply chain
dc.subjecttotal interpretive structural modelling
dc.subjectsupply chain performance
dc.subject.oecd12 Ingeniería y Tecnología
dc.subject.oecd22.11 Otras Ingenierías y Tecnologías
dc.titleThe impact of knowledge governance mechanisms on supply chain performance: empirical evidence from the agri-food industry
dc.typejournal article
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.udla.catalogadorCBM
oaire.citation.endPage1336
oaire.citation.issue15
oaire.citation.startPage1313
oaire.citation.titlePRODUCTION PLANNING & CONTROL
oaire.citation.volume32
udla.curacion.controljmvg
udla.odsODS 2: Hambre cero
udla.oecd.area2 Ingeniería y Tecnología
udla.oecd.subarea2.11 Otras Ingenierías y Tecnologías

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