@article{2026:scheuffele:futurerel,
title = {Future-Relevant Technologies for Switzerland: Technological Priority Signals and Cross-Industry Robustness Based on Job Postings Analysis},
year = {2026},
note = {Foresight research constantly strives to identify and utilize new data
sources for its technological trend analyses. In addition to
long-established data sources such as patents and scientific
publications, job postings data have recently proven to be an
insightful data source for foresight purposes, reflecting the adoption
of emerging technologies in practice without major time or publication
delays. In our research we use online job postings from Switzerland to
identify technologies frequently mentioned in connection with
future-related terms in job description texts. This novel approach
provides a data-based perspective on the technology domains in which
companies in Switzerland perceive future potential and actively
recruit talent. Furthermore, we compare the recruiting dynamics for
these technology fields across industries to identify robust
technologies that are future-relevant in multiple sectors. Our
methodology comprises text mining techniques – including keyword
analysis and named entity recognition – and results in a data-driven
trend study aimed at both innovation management researchers as well as
business practitioners.},
journal = {Swiss Journal of Business},
pages = {173--198},
author = {Scheuffele, Marie and Brecht, Leo},
volume = {80},
number = {2}
}