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Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry

Ozcan, Sercan and Homayounfard, Amir and Simms, Christopher and Wasim, Jahangir (2021) 'Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry.' IEEE Transactions on Engineering Management. ISSN 0018-9391

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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.

Item Type: Article
Uncontrolled Keywords: Emerging technologies, foresight, patent analysis, retail technologies, technology roadmapping, text mining
Divisions: Faculty of Social Sciences > Essex Business School
Depositing User: Elements
Date Deposited: 04 May 2021 15:32
Last Modified: 04 May 2021 15:32
URI: http://repository.essex.ac.uk/id/eprint/30274

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