Yes / Purpose – The purpose of this study is to evaluate food supply chain stakeholders’ intention to use Industry 5.0 (I5.0) drones for cleaner production in food supply chains.
Design/methodology/approach – We used a quantitative research design and collected data using an online survey administered to a sample of 264 food supply chain stakeholders in Nigeria. The partial least square structural equation model (PLS-SEM) was conducted to assess the research’s hypothesised relationships.
Findings – We provide empirical evidence to support the contributions of I5.0 drones for cleaner production. Our findings showed that food supply chain stakeholders are more concerned with the use of I5.0 drones in specific operations such as reducing plant diseases which invariably enhances cleaner production. However, there is less inclination to drones adoption if the aim was pollution reduction, predicting seasonal output and addressing workers health and safety challenges. Our findings outline the need for awareness to promote the use of drones for addressing workers hazard challenges and knowledge transfer on the potentials of I5.0 in emerging economies.
Originality – This is the first study to address I5.0 drones' adoption using a sustainability model. We contribute to existing literature by extending the sustainability model to identify the contributions of drones use in promoting cleaner production through addressing specific system operations. This study addresses the gap by augmenting a sustainability model, suggesting that technology adoption for sustainability is motivated by curbing challenges categorised as drivers and mediators.
Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19668 |
Date | 26 October 2023 |
Creators | Mahroof, Kamran, Omar, Amizan, Vann Yaroson, E., Quinn, G., Breen, L.,, Tenebe, S.A., Rana, Nripendra P., Sivarajah, Uthayasankar, Weerakkody, Vishanth J.P. |
Publisher | Emerald Publishing |
Source Sets | Bradford Scholars |
Language | English |
Detected Language | English |
Type | Article, Accepted manuscript |
Rights | (c) 2023 Emerald Publishing. Full-text reproduced in accordance with the publisher's self-archiving policy., CC-BY-NC |
Page generated in 0.0021 seconds