Anticipating Technology Convergence with Online Job Postings Data
Traditional foresight methods for analyzing technology convergence primarily rely on patents, often with limited predictive power. This research proposes a novel approach using online job postings data to anticipate technology convergence, particularly in the AI field. We outline our research design, including a keyword-based analysis of job postings and a novel interpretation approach to differentiate between fusion and convergence dynamics.
Research driven by academic institutions
-
University of Liechtenstein
An Attempt at Data-Driven Validation of Early-Stage Technology Trends
Dec. 13, 2024
View Article- Academic research
-
University of Illinois at Urbana-Champaign
Is Hiring Fast a Good Sign? The Informativeness of Job Vacancy Duration for Future Firm Profitability
Apr. 01, 2023
View Article- Academic research
-
Stanford University
College Student Elasticity: The Impact of Job Openings on College Major Decisions
May. 03, 2022
View Article- Academic research
-
Management Science
Are Online Job Postings Informative to Investors?
Apr. 25, 2019
View Article- Academic research
-
Columbia University
Vacancy Duration and Demand for H-1B Labor in the United States
Apr. 03, 2018
View Article- Academic research
-
Massachusetts Institute of Technology
"Bursting Bubbles:" Calculating Fair Housing Price
Apr. 21, 2017
View Article- Capital markets
Stay Informed: Get monthly job market insights delivered right to your inbox.
Thank you for your message!
The LinkUp team will be in touch shortly.