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Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gibson, Elizabeth K. Daim, Tugrul U. Garces, Edwin Dabic, Marina |
| Copyright Year | 2018 |
| 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. |
| Starting Page | 6 |
| Ending Page | 24 |
| Page Count | 19 |
| File Format | PDF HTM / HTML |
| DOI | 10.17323/2500-2597.2018.1.6.24 |
| Alternate Webpage(s) | https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1156&context=etm_fac |
| Alternate Webpage(s) | https://foresight-journal.hse.ru/data/2018/04/04/1164615637/1-Daim%20et%20al-6-24.pdf |
| Alternate Webpage(s) | https://doi.org/10.17323/2500-2597.2018.1.6.24 |
| Volume Number | 12 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
