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Ghana’s Fast-Moving Consumer Goods (FMCG) Industries: Exploring the Relationship Between Supply Chain Collaboration and Operational Performance

Obeng, Dorcas Serwaa, Abu-Arja, Ahmad orcid iconORCID: 0000-0003-0241-2116, Ammari, Hassan orcid iconORCID: 0000-0003-0241-2116, Armosh, Firas, Chedid, Fabienne and Peer, Mohammad Arif (2026) Ghana’s Fast-Moving Consumer Goods (FMCG) Industries: Exploring the Relationship Between Supply Chain Collaboration and Operational Performance. In: Artificial Intelligence and Technology: Systems Management, Decisions and Control for Sustainability in the Digital Age. Studies in Systems, Decision and Control . Springer, pp. 801-812. ISBN 978-3-032-10015-3

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Official URL: https://doi.org/10.1007/978-3-032-10016-0_64

Abstract

The global FMCG industries have been vital in supporting both workforce employment and business expansion around the world. The global FMCG industry output has contributed to multiple United Nations Sustainable Development Goals by working on poverty elimination and worldwide equality promotion. Efficient supply chain systems show positive effects across all business sectors and sizes while transcending cultural boundaries. Research on supply chain collaboration and its effects on business operational performance remains scarce, particularly in the FMCG sector in the West Africa region. This study aims to explore the connection between supply chain collaboration and operational performance in FMCG businesses operating in Ghana. This research selects Ghana as its geographic focus because it is West Africa’s second-largest population centre and holds a leading position as an exporter of gold and lumber which reveals its emerging economic potential. The survey questionnaire research with 300 FMCG industry participants in Ghana took place between 11th March and 30th March 2024. Purposive sampling was adopted to finalise the research participants and SPSS was adopted to analyse the data. The findings indicate an important link between knowledge management strategies and operational performance through resource sharing, information sharing, synchronous decision-making and collaborative knowledge generation. The paper concludes with implications and recommendations based on the key findings from this research.


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