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Knowledge Mobilization for Agri-Food Supply Chain Decisions

Guoqing Zhao Orcid Logo, Shaofeng Liu, Sebastian Elgueta, Juan Pablo Manzur, Carmen Lopez, Huilan Chen

International Journal of Decision Support System Technology, Volume: 15, Issue: 2, Pages: 1 - 25

Swansea University Author: Guoqing Zhao Orcid Logo

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DOI (Published version): 10.4018/ijdsst.315640

Abstract

The current world business environment is characterized by increasing uncertainties, complexities, andrisks, which require agri-food supply chain (AFSC) managers to respond and act quickly in a contextfull of instability and unpredictability. Increasing pressure placed on AFSC managers intensifies t...

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Published in: International Journal of Decision Support System Technology
ISSN: 1941-6296 1941-630X
Published: IGI Global 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa62348
Abstract: The current world business environment is characterized by increasing uncertainties, complexities, andrisks, which require agri-food supply chain (AFSC) managers to respond and act quickly in a contextfull of instability and unpredictability. Increasing pressure placed on AFSC managers intensifies theneed to combine knowledge management (KM) and decision support that rapidly overcome knowledgeboundaries. It has been recognized that the research issue related to the knowledge mobilization crossingboundaries in the AFSC needs to be addressed. This paper investigates knowledge boundaries andboundary-spanning mechanisms by collecting data from experienced AFSC practitioners. Empiricalresults verify that knowledge boundaries such as syntactic boundaries, semantic boundaries, andpragmatic boundaries could be effectively tackled by four specific boundary-spanning mechanisms:boundary spanners, boundary objects, boundary practices, and boundary discourses.
Keywords: Agri-Food Supply Chains, Boundary-Spanning Mechanisms, Decision Making, Knowledge Boundaries,Knowledge Mobilization
College: Faculty of Humanities and Social Sciences
Funders: The work reported in this paper has benefited from the RUC-APS project funded by the European Commission under the Horizon 2020 Programme (H2020-MSCA-RISE Award No. 691249).
Issue: 2
Start Page: 1
End Page: 25

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