An Attempt at Data-Driven Validation of Early-Stage Technology Trends
Foresight of early-stage technology trends often lacks practical relevance. This study addresses this gap by combining bibliometric analysis with an innovative data source: online job postings. By analyzing both scientific publications and job postings data, we can assess the potential impact of emerging technologies on the business world. This research contributes to a larger project exploring the link between scientific advancements and business innovation.
Research driven by academic institutions
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University of Liechtenstein
Anticipating Technology Convergence with Online Job Postings Data
Dec. 13, 2024
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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
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Stanford University
College Student Elasticity: The Impact of Job Openings on College Major Decisions
May. 03, 2022
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Management Science
Are Online Job Postings Informative to Investors?
Apr. 25, 2019
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Columbia University
Vacancy Duration and Demand for H-1B Labor in the United States
Apr. 03, 2018
View Article- Academic research
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Massachusetts Institute of Technology
"Bursting Bubbles:" Calculating Fair Housing Price
Apr. 21, 2017
View Article- Capital markets
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