Factors affecting selection decision of auto-identification technology in warehouse management: An international Delphi study

Hassan, Mayadah; Ali, Maged; Aktas, Emel; Alkayid, Kholoud

doi:10.1080/09537287.2015.1011726

Cited by 39RFID technology advancementsLogistics and Transportation SystemsAdvanced Manufacturing and Logistics Optimization

Factors affecting selection decision of auto-identification technology in warehouse management: An international Delphi study

Hassan, Mayadah, Ali, Maged, Aktas, Emel, Alkayid, Kholoud·2015·Production Planning & Control

DOI 10.1080/09537287.2015.1011726

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Abstract

Selecting an automatic identification and data capture (auto-ID) technology, for example RFID and barcodes, is a long-term investment, and it contributes to improving operational efficiency, achieving cost savings and creating opportunities for higher revenues. We identified the set of factors that affect the technology-selection decision for warehouses through a literature review. Then, to investigate the critical factors, and their relative importance to the decision-making process, we conducted a modified two-round Delphi study with a worldwide panel of experts (107) including academics, industry practitioners and consultants in auto-ID technologies. The results show that there are 54 key factors under six categories: organisational factors, operational factors, structural factors, resources, external environment and technology. We verified the results of the Delphi study with interviews carried out with 19 experts across the world. Based on the Delphi study and the interviews’ findings, we developed a multi-stage selection framework for auto-ID technology.

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Applying virtual and augmented reality for warehouse design can provide a simulated and optimized experience before building brick-and-mortar locations for storage and inventory management.
“applying virtual and augmented reality for warehouse design can provide a simulated and optimized experience before building brick-and-mortar locations for storage and inventory management (Hassan et al., 2015;Kovács, 2021).”
From Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2022) · cites this paper as Hassan et al., 2015

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Authors: Hassan, M., Ali, M., Aktas, E., & Alkayid, K.
Affiliations: Brunel University of London (GB)
Cranfield School of Management, Cranfield University, Cranfield MK43 0AL, UK
University of Wollongong (AU)
Corresponding author: Ali, Maged
ORCID: Ali, Maged
Alkayid, Kholoud
Venue: Production Planning & Control
Publisher: Informa UK Limited
Published: 2015-07
Volume: 26
Issue: 12
Pages: 1025-1049
ISSN: 0953-7287 (ISSN-L)
1366-5871
DOI: 10.1080/09537287.2015.1011726
OpenAlex: W1656587535
Cited by: 39
References: 72
Citations by year: 2026: 3 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 9 · 2021: 8 · 2020: 4 · 2019: 3 · 2018: 1 · 2016: 2
FWCI: 1.60
Type: journal article
Language: en
Open access: closed
Locations: Production Planning & Control (publishedVersion)
Research Online (University of Wollongong) (submittedVersion)
Topics: Physical Sciences › Engineering › Media Technology › RFID technology advancements
Social Sciences › Business, Management and Accounting › Management Information Systems › Logistics and Transportation Systems
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
Keywords: automatic identification and data capture, warehouse management, technology selection, RFID, barcodes, selection framework, organizational factors, operational factors, technology adoption, decision-making factors

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Factors affecting selection decision of auto-identification technology in warehouse management: An international Delphi study

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