The potentials of augmented reality in supply chain management: a state-of-the-art review

Abderahman Rejeb (), John G. Keogh (), Samuel Fosso Wamba () and Horst Treiblmaier ()
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Abderahman Rejeb: Széchenyi István University
John G. Keogh: University of Reading
Samuel Fosso Wamba: Toulouse Business School
Horst Treiblmaier: Modul University Vienna

Management Review Quarterly, 2021, vol. 71, issue 4, No 5, 819-856

Abstract: Abstract This paper examines the potentials of augmented reality (AR) technology in supply chain management (SCM) and logistics. Specifically, we provide an overview of the technology’s various value propositions and its ability to support companies’ business processes. Although the emergence of Industry 4.0 has renewed the interest in AR, and how it can address several issues challenging existing business models, rigorous studies investigating the potentials of AR for SCM and logistics activities are scant. To bridge this knowledge gap, we conducted a systematic literature review to compile existing literature, identify current research gaps, and systematize AR research in SCM and logistics activities. In total, forty-three (43) papers were thoroughly analyzed. The findings of this study reveal that AR can add value in five main areas, namely warehousing, manufacturing, sales and outdoor logistics, planning and design and human resource management. Moreover, we discuss organizations’ challenges when deploying AR in SCM and logistics and propose exploratory research opportunities for further investigation. In this paper, we highlight numerous practical implications of AR in SCM and recommend that organizations consider AR as a potential solution for enhancing business processes, improving operational efficiencies, and increasing overall competitiveness. This study represents one of the first attempts to synthesize AR’s literature from an SCM and logistics perspective.

Keywords: Augmented reality; Supply chain management; Logistics; Industry 4.0; Systematic literature review (search for similar items in EconPapers)
JEL-codes: O30 O32 O33 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s11301-020-00201-w

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