A human-centric perspective exploring the readiness towards smart warehousing: the case of a large retail distribution warehouse

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2019-04Author
Mahroof, KamranRights
© 2018 Elsevier Ltd. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
09/11/2018
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Show full item recordAbstract
The explosive rise in technologies has revolutionised the way in which business operate, consumers buy, and the pace at which these activities take place. These advancements continue to have profound impact on business processes across the entire organisation. As such, Logistics and Supply Chain Management (LSCM) are also leveraging benefits from digitisation, allowing organisations to increase efficiency and productivity, whilst also providing greater transparency and accuracy in the movement of goods. While the warehouse is a key component within LSCM, warehousing research remains an understudied area within overall supply chain research, accounting for only a fraction of the overall research within this field. However, of the extant warehouse research, attention has largely been placed on warehouse design, performance and technology use, yet overlooking the determinants of Artificial Intelligence (AI) adoption within warehouses. Accordingly, through proposing an extension of the Technology–Organisation–Environment (TOE) framework, this research explores the barriers and opportunities of AI within the warehouse of a major retailer. The findings for this qualitative study reveal AI challenges resulting from a shortage of both skill and mind-set of operational management, while also uncovering the opportunities presented through existing IT infrastructure and pre-existing AI exposure of management.Version
Accepted manuscriptCitation
Mahroof K (2019) A human-centric perspective exploring the readiness towards smart warehousing: the case of a large retail distribution warehouse. International Journal of Information Management. 45: 176-190.Link to Version of Record
https://doi.org/10.1016/j.ijinfomgt.2018.11.008Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.ijinfomgt.2018.11.008