Knowledge management for food supply chain synergies – A maturity level analysis of SME companies


Despite the considerable number of papers addressing knowledge management (KM) aspects in supply chains, many research issues in the area are still neglected. One of the main research gaps in this field concerns the maturity level of KM practices adoption by small and medium enterprises (SMEs). This paper addresses this research gap by developing a framework to support the analysis of the maturity level of KM adoption in an SME context. The framework is applied in a multiple case study developed to investigate the extent to which SMEs operating in the food sector are deploying KM practices to support more sustainable initiatives. By relating KM maturity levels, perspectives and processes to sustainable practices concerning food waste and by-product synergies, the paper makes an original contribution to advance theory and practice in the area. The paper also points out potential barriers that companies face to implement sustainability-related KM practices.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Production Planning & Control on 30 June 2019, available online at:
Uncontrolled Keywords: Knowledge management,food supply chain,food waste and by-product synergies,Computer Science Applications,Strategy and Management,Management Science and Operations Research,Industrial and Manufacturing Engineering
Publication ISSN: 1366-5871
Last Modified: 08 Dec 2023 10:58
Date Deposited: 30 Jan 2019 16:16
Full Text Link: http://bura.bru ... ndle/2438/15813
Related URLs: https://www.tan ... 87.2019.1582104 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2019-06-30
Accepted Date: 2018-01-02
Authors: Batista, Luciano (ORCID Profile 0000-0002-0367-2975)
Dora, Manoj
Toth, Jozsef
Molnár, Adrienn
Malekpoor, Hanif
Kumari, Sushma



Version: Accepted Version

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