Future-Relevant Technologies for Switzerland: Technological Priority Signals and Cross-Industry Robustness Based on Job Postings Analysis

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Bibliographic information

Cover of Volume: Swiss Journal of Business Volume 80 (2026), Issue 2
Open Access Full access

Swiss Journal of Business

Volume 80 (2026), Issue 2

Authors:
Publisher
Nomos, Baden-Baden
Copyright Year
2026
ISSN-Online
2944-3741
ISSN-Print
2944-3741

Chapter information

Open Access Full access

Volume 80 (2026), Issue 2

Future-Relevant Technologies for Switzerland: Technological Priority Signals and Cross-Industry Robustness Based on Job Postings Analysis

Authors:
ISSN-Print
2944-3741
ISSN-Online
2944-3741
Preview:

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.

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