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dc.contributor.authorZhao, G
dc.contributor.authorLiu, Shaofeng
dc.contributor.authorChen, H
dc.contributor.authorKasturiratne, D
dc.date.accessioned2020-08-10T10:43:55Z
dc.date.issued2020-08-27
dc.identifier.issn0953-7287
dc.identifier.issn1366-5871
dc.identifier.urihttp://hdl.handle.net/10026.1/16151
dc.description.abstract

The 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.format.extent1313-1336
dc.languageen
dc.language.isoen
dc.publisherTaylor & Francis
dc.subjectKnowledge governance mechanisms
dc.subjectagri-food supply chain
dc.subjecttotal interpretive structural modelling
dc.subjectsupply chain performance
dc.titleThe impact of knowledge governance mechanisms on supply chain performance: Empirical evidence from the agri-food industry
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000563374200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue15
plymouth.volume32
plymouth.publication-statusPublished
plymouth.journalProduction Planning and Control
dc.identifier.doi10.1080/09537287.2020.1809023
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/PS - Academic Partnerships
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2020-08-09
dc.rights.embargodate2021-8-27
dc.identifier.eissn1366-5871
dc.rights.embargoperiodNot known
rioxxterms.funderEuropean Commission
rioxxterms.identifier.projectEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
rioxxterms.versionofrecord10.1080/09537287.2020.1809023
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2020-08-27
rioxxterms.typeJournal Article/Review
plymouth.funderEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems::European Commission


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