Supply chain planning in the food industry : mixed methods research on the adoption of advanced planning systems

Stüve, David and Van Der Meer, Robert and Ali Agha, Mouhamad Shaker and Lütke Entrup, Matthias (2025) Supply chain planning in the food industry : mixed methods research on the adoption of advanced planning systems. Production Planning and Control, 37 (3). pp. 195-224. ISSN 0953-7287 (https://doi.org/10.1080/09537287.2025.2508719)

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Abstract

Supply chain management (SCM) in the food industry is challenging due to multiple factors, such as the limited shelf life of food products. Supply chain planning (SCP) is required to balance the demand with the supply of products. Advanced planning systems (APS) constitute the technological means for sophisticated SCP. APS can contribute to improved decision-making and enhanced efficiency along food supply chains. This study investigates the level of APS implementation in the food industry and factors affecting the adoption of APS by means of mixed methods research comprising a survey among food producers and expert interviews. The study confirms the limited use of specialized software for SCP. Lack of human resources and costs associated with implementation projects inhibit companies to adopt APS. Supply chain complexity induces food companies to adopt APS. Besides enhanced planning accuracy, the usability of APS is regarded as particularly important by companies. Based on the findings an adapted technology acceptance model (TAM) for the context of APS is established. The analysis of quantitative and qualitative data reveals a comprehensive view on APS implementation in the food industry. This is reinforced by the triangulation of different perspectives through interviews with food producers, software vendors and consultants.

ORCID iDs

Van Der Meer, Robert ORCID: https://orcid.org/0000-0002-9442-1628

Ali Agha, Mouhamad Shaker ORCID: https://orcid.org/0000-0002-9143-7990

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• Item metadata

  Item type:	Article
  ID code:	92969
  Dates:	Date Event 27 May 2025 Published 27 May 2025 Published Online 13 May 2025 Accepted 24 April 2025 Submitted
  Subjects:	Technology > Manufactures
  Department:	Strathclyde Business School > Management Science
  Depositing user:	Pure Administrator
  Date deposited:	30 May 2025 09:11
  Last modified:	08 May 2026 07:29
  URI:	https://strathprints.strath.ac.uk/id/eprint/92969