Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry
| Autor: | Amir Homayounfard, Chris Simms, Sercan Ozcan, Jahangir Wasim |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Business requirements
Process management Text Mining Emerging technologies Strategic innovation Strategy and Management Business and Management Foresight Retail Technologies Patent Analysis Futures studies Retail industry Patent analysis Sequential method Review process Business Electrical and Electronic Engineering Technology roadmapping Emerging Technologies |
| Zdroj: | Ozcan, S, Homayounfard, A, Simms, C & Wasim, J 2021, ' Technology roadmapping using text mining: a foresight study for the retail industry ', IEEE Transactions on Engineering Management . https://doi.org/10.1109/TEM.2021.3068310 |
| ISSN: | 0018-9391 1558-0040 |
| DOI: | 10.1109/TEM.2021.3068310 |
| Popis: | 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. Whilst 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 which implement both quantitative and qualitative approaches. Hence, our paper 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 a text mining and an expert review process. Our results show clear directions for the future of emerging technologies, as the industry moves towards 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 backend solutions for the future of unmanned retailing. |
| Databáze: | OpenAIRE |
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