Identifying technological opportunities using enhanced tech mining: The case of the E-health industry

Seungyeon Moon and Heesang Lee

Technological Forecasting and Social Change, 2024, vol. 206, issue C

Abstract: This study suggests enhanced tech mining as a tool to identify promising market opportunities based on a technological opportunity gap. Compared with existing research on technology opportunity analysis, we derived a technological opportunity gap by investigating existing and potential technological opportunities. In this study, we introduce a general framework of enhanced tech mining and then demonstrate how enhanced tech mining works by examining a technological opportunity gap in the e-health industry. We derived seven exploited technological opportunities, including telemedicine, televeterinarian, and virtual clinical trials, based on topic modeling of news articles. In the case of latent technological opportunities, 25 latent technological opportunities, including telenursing, telesurgery, and telephysiotherapy, were extracted from content analysis results of academic journal articles. We built an opportunity gap discovery framework based on analysis results to explore promising e-health opportunities for future business. We contributed to the related research field by improving the existing opportunity identification approach. We also showed the benefits of applying the proposed method by deriving the technological opportunity gap in the e-health industry.

Keywords: COVID–19; E-health; Tech mining; Technology opportunities; Subject–Action–Object (SAO) semantic analysis; Topic modeling (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:206:y:2024:i:c:s0040162524003573

DOI: 10.1016/j.techfore.2024.123561

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