An Attempt at Data-Driven Validation of Early-Stage Technology Trends

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Referenz

Scheuffele, M., Fetkenheuer, N., & Brecht, L. (2024). An Attempt at Data-Driven Validation of Early-Stage Technology Trends. Paper presented at the ISPIM Connects Porto Alegre - Social Innovation and Impact in the Global South, Porto Alegre, Brasil.

Publikationsart

Beitrag in Konferenztagungsband

Abstract

Foresight of early-stage technology trends via bibliometrics is often criticized for its perceived limitations in articulating practical relevance or predicting application success. To address that gap, foresight researchers and practitioners usually rely on expert interviews to qualitatively validate their quantitative findings. This study introduces a novel, data-driven approach to validate the relevance of early-stage technology trends for businesses and to detect early implementation efforts by technology leaders. By combining a bibliometric analysis of scientific publications with trend insights from online job postings as an innovative foresight data source, we use the presumably most early-phased data sources of both perspectives – science and practice – for our assessment of future technology innovation fields. The presented research is part of a larger project which strives to deepen our understanding of the links between scientific advancements and business innovation efficiency, thereby providing a more comprehensive perspective on the commercial viability of emerging technologies.

Forschung

Foresight for a (product) lifetime: developing a lifecycle- encompassing foresight process
FFF-Förderprojekt, Juni 2023 bis April 2023

Der Umgang mit Diskontinuitäten im Markt, sich wandelnden Wettbewerbsvorteilen und bestehenden Informationsunsicherheiten in Entscheidungs- und Innovationsprozessen stellt eine tägliche ... mehr

Mitarbeiter

Einrichtungen

  • Liechtenstein Business School
  • Entrepreneurship
  • Technology & Innovation