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Gibson, E., Daim, T., Garces, E. and Dabić, M. 
ORCID: 0000-0001-8374-9719,
2018.
Technology foresight: a bibliometric analysis to identify leading and emerging methods.
Foresight and STI Governance, 12 (1), pp. 6-24.
ISSN 2500-2597
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Abstract
Foresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins to close this gap by analyzing and comparing different schools of thought and updating the literature with the most current tools and methods. Data mining techniques are used to identify articles through an extensive literature review. Social Network Analysis (SNA) techniques are used to identify and analyze leading journals, articles, and researchers. A framework is developed here to provide a guide to help in the selection of methods and tools for different approaches.
| Item Type: | Journal article | ||||
|---|---|---|---|---|---|
| Publication Title: | Foresight and STI Governance | ||||
| Creators: | Gibson, E., Daim, T., Garces, E. and Dabić, M. | ||||
| Publisher: | National Research University Higher School of Economics | ||||
| Date: | 2018 | ||||
| Volume: | 12 | ||||
| Number: | 1 | ||||
| ISSN: | 2500-2597 | ||||
| Identifiers: |
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| Divisions: | Schools > Nottingham Business School | ||||
| Record created by: | Linda Sullivan | ||||
| Date Added: | 25 Oct 2018 13:32 | ||||
| Last Modified: | 25 Oct 2018 13:32 | ||||
| URI: | https://irep.ntu.ac.uk/id/eprint/34741 |
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