Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/326933 
Year of Publication: 
2025
Series/Report no.: 
UNU-MERIT Working Papers No. 2025-004
Publisher: 
United Nations University (UNU), Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht
Abstract: 
In this study, using a novel dataset that matches firm-level data with online job vacancy data, we investigate the effects of firms' digital technology adoption on future hiring and the dynamics of hiring and training, focusing on different types of technologies and categories of occupations. First, we examine the impact of adopting different types of digital technologies, namely AI, Advanced ICT, and Basic ICT, on future firm hiring. Our findings reveal that less advanced digital jobs (eg. Basic ICT, Advanced ICT) are substituted by more advanced digital jobs (eg. AI), while the advanced technology adoption by firms leads to increased overall hiring of non-digital roles. Second, we show that there is a positive relationship between training and new hiring only for one occupational category, namely, managers, with no significant relationship for other occupations. Third, we investigate the joint effect of training and technology adoption for firm performance. Our findings reveal that digital technology adoption enhances a firm's financial performance only when combined with internal staff training. The sole exception is AI, which yields positive performance benefits even in the absence of training.
Subjects: 
Digital Technology Adoption
AI
Hiring
Training
Online Job Vacancy Data
Firm Performance
JEL: 
O33
O12
L20
D22
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-sa Logo
Document Type: 
Working Paper

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