Kolawole, OA, Mishra, JL and Hussain, Z (2021) Addressing food waste and loss in the Nigerian food supply chain: Use of Lean Six Sigma and Double-Loop Learning. Industrial Marketing Management, 93. pp. 235-249. ISSN 0019-8501
Abstract
Food waste and loss (FWL), although a growing problem in the world, there is limited research especially from the developing country context. In this research, we investigate FWL in the processing and distribution stage of the Nigerian Food Supply Chain (FSC). We propose the use of Lean Six Sigma (LSS) tools coupled with Double Loop Learning (DLL) to reduce FWL. Using case study strategy we explored the perception, understanding and experience of the FSC stakeholders on the effectiveness of LSS tools and DLL to reduce FWL in two case companies. We found awareness, identification of root causes of FWL and taking responsibility as the major steps adopted by the case companies to reduce FWL. We provide insights regarding how DMAIC could support Organisational Learning Theory (OLT) while solving FWL issues.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Inc. This is an author produced version of a paper published in Industrial Marketing Management. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Food supply chain; Lean six sigma; Food waste and loss; Organisational learning theory; Double loop learning; Developing country |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Feb 2021 14:48 |
Last Modified: | 01 Feb 2023 01:13 |
Status: | Published |
Publisher: | Elsevier BV |
Identification Number: | 10.1016/j.indmarman.2021.01.006 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170772 |
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