Implications for Future Research, Policy, and Management

Sandra Barbosu and Florenta Teodoridis
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Sandra Barbosu: New York University
Florenta Teodoridis: University of Southern California

Chapter Chapter 7 in Catalysts of Discovery, 2025, pp 61-72 from Springer

Abstract: Abstract In this final chapter, the book shifts from analysis to actionable insights. Building on the framework and insights from earlier chapters, it outlines future research directions and paves the way for studies evaluating the role of AI—one of the most transformative contemporary technologies—in shaping the rate and direction of innovation. The chapter also explores managerial and policy implications, highlighting the importance of aligning private and public sector efforts to fully harness the potential of research technologies.

Keywords: Future research; AI; Artificial intelligence; Privacy-enhancing technologies; Generative AI; Healthcare; Machine learning; Policy implications; Management implications; Managerial strategy; Innovation governance; Societal impact; Economic growth; Prediction technology; Public-private partnerships; Technology subsidies (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-98341-2_7

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DOI: 10.1007/978-3-031-98341-2_7

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