Northampton Electronic Collection of Theses and Research

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

Batista, L., Dora, M., Toth, J., Molnár, A., Malekpoor, H. and Kumari, S. (2017) Knowledge management for food supply chain synergies – A maturity level analysis of SME companies. Production Planning & Control. 30, 995–1004. 0953-7287.

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Batista_etal_TFO_2019_Knowledge_management_for_food_supply_chain_synergies_A_maturity_level_analysis_of_SME_companies
Batista_etal_TFO_2019_Knowledge_management_for_food_supply_chain_synergies_A_maturity_level_analysis_of_SME_companies.pdf - Accepted Version
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Abstract:
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.
Uncontrolled Keywords:
/dk/atira/pure/sustainabledevelopmentgoals/zero_hunger
Creators:
Batista, L., Dora, M., Toth, J., Molnár, A., Malekpoor, H. and Kumari, S.
Faculties, Divisions and Institutes:
Faculties > Faculty of Business & Law > International Strategy & Business
Date:
27 December 2017
Date Type:
Acceptance
Page Range:
995–1004
Journal or Publication Title:
Production Planning & Control
Volume:
30
Number of Pages:
10
Language:
English
ISSN:
0953-7287
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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