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Technology roadmapping using text mining: a foresight study for the retail industry.

Ozcan, Sercan; Homayounfard, Amir; Simms, Christopher; Wasim, Jahangir

Authors

Sercan Ozcan

Amir Homayounfard

Christopher Simms

Jahangir Wasim



Abstract

Technology roadmapping is a widely accepted method for offering industry foresight as it supports strategic innovation management and identifies the potential application of emerging technologies. While roadmapping applications have been implemented across different technologies and industries, prior studies have not addressed the potential application of emerging technologies in the retail industry. Furthermore, few studies have examined service-oriented technologies by a roadmapping method. Methodologically, there are limited roadmapping studies that implement both quantitative and qualitative approaches. Hence, this article aims to offer a foresight for future technologies in the retailing industry using an integrated roadmapping method. To achieve this, we used a sequential method that consisted of both text mining and an expert review process. Our results show clear directions for the future of emerging technologies as the industry moves toward unmanned retail operations. We generate eight clusters of technologies and integrate them into a roadmapping model, illustrating their links to the market and business requirements. Our study has a number of implications and identifies potential bottlenecks between the integration of front- and back-end solutions for the future of unmanned retailing.

Citation

OZCAN, S., HOMAYOUNFARD, A., SIMMS, C. and WASIM, J. 2022. Technology roadmapping using text mining: a foresight study for the retail industry. IEEE transactions on engineering management [online], 69(1), pages 228-244. Available from: https://doi.org/10.1109/TEM.2021.3068310

Journal Article Type Article
Acceptance Date Mar 19, 2021
Online Publication Date Apr 21, 2021
Publication Date Feb 28, 2022
Deposit Date Apr 23, 2021
Publicly Available Date Mar 29, 2024
Journal IEEE Transactions on Engineering Management
Print ISSN 0018-9391
Electronic ISSN 1558-0040
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Peer Reviewed Peer Reviewed
Volume 69
Issue 1
DOI https://doi.org/10.1109/tem.2021.3068310
Keywords Business; Emerging technologies; Foresight; Industries; Patent analysis; Patents; Planning; Retail technologies; Search problems; Technology roadmapping; Text mining; Tools
Public URL https://rgu-repository.worktribe.com/output/1318681

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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.




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