Emergence scoring to identify frontier R&D topics and key players
| Autor: | Nils C. Newman, Jon Garner, Stephen Carley, Alan L. Porter |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Emerging technologies business.industry 020209 energy 05 social sciences Big data 02 engineering and technology Data science Domain (software engineering) Frontier Management of Technology and Innovation 0502 economics and business 0202 electrical engineering electronic engineering information engineering Key (cryptography) Business and International Management business 050203 business & management Applied Psychology |
| Zdroj: | Technological Forecasting and Social Change. 146:628-643 |
| ISSN: | 0040-1625 |
| DOI: | 10.1016/j.techfore.2018.04.016 |
| Popis: | Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence indicators deriving from those scores. Primary emergence indicators identify “hot topic” terms. We then use those to generate secondary indicators that reflect organizations, countries, or authors especially active at frontiers in a target R&D domain. We also flag abstract records (papers or patents) rich in emergent technology content, and we score research fields on relative degree of emergence. This paper presents illustrative results for example topics – Nano-Enabled Drug Delivery, Non-Linear Programming, Dye Sensitized Solar Cells, and Big Data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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