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PublicationArticle (with peer review)

Recruiting for Small Business Growth: Micro Level Evidence

Abstract

We examine the link between new employees in leading positions and subsequent productivity in small- and medium-sized enterprises (SMEs). Managers and professionals are likely to possess important tacit knowledge. They are also in a position to influence the employing firm. Exploiting rich and comprehensive panel data for Sweden in the 2001-2010 period and employing semi-parametric and quasi-experimental estimation techniques, we find that newly recruited professionals have a positive and statistically significant impact on the productivity of the hiring SME. For newly recruited managers there is no general link to the productivity of the hiring SME. We also find that professionals with experience from international firms and enterprise groups contribute the most to total factor productivity. Overall, the findings suggest the importance of mobility of key personnel for productivity-enhancing knowledge spillovers to SMEs.
Related content: Working Paper No. 280

Gidehag, A., & Lodefalk, M. (2017). Recruiting for Small Business Growth: Micro Level Evidence. International Review of Entrepreneurship, 15(2), 151-174.

Details

Author
Gidehag, A., & Lodefalk, M.
Publication year
2017
Published in

International Review of Entrepreneurship

Related

  • Associate Professor

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Similar content

Article (with peer review)

Artificial Intelligence for Public Use

Lodefalk, M.; Engberg, E.; Lidskog, R.; Skargren, F.; Tang, A.
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Publication year

2026

Published in

Digital Society

Abstract

The public sector faces rising expectations, demographic change and persistent efficiency challenges. This article examines both the potential and limitations of AI in public services. Using an interdisciplinary conceptual framework, it analyses organisational, regulatory, technical and ethical barriers. It also simulates AI’s possible long-term effects on labour demand and productivity in Sweden using administrative data and occupational AI-exposure measures. The scenarios suggest that AI could help ease labour shortages and raise productivity, although effects vary substantially across subsectors and types of organisation. The results are scenarios, not forecasts.

Article (without peer review)

DAIOE: Dynamic AI Occupational Exposure (dataset and construction pipeline)

E. Engberg, H. Görg, M. Hellsten, F. Javed, M. Lodefalk, M. Längkvist, N. Monteiro, H. Kyvik Nordås, G. Pulito, S. Schroeder & A. Tang

Publication year

2026

Published in

Zenodo

Abstract

DAIOE is a dataset of occupation-year measures of exposure to artificial intelligence, accompanied by its construction pipeline and documentation. The index combines progress across public AI benchmarks with occupational ability profiles to estimate how exposure changes over time. The dataset covers multiple occupational classifications, including Swedish SSYK. It is a research data resource, not a peer-reviewed article.

Reports

Who is afraid of AI? Who should be?

Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & ..

Publication year

2026

Published in

Kiel Policy Brief, 2026.

Abstract

  • Occupations that are highly cognitive, non-physical, and low in social interaction — typically higher-skill white-collar roles such as data analysts, software developers, and translators — turn out to be highly AI-exposed
  • Occupations requiring manual dexterity or intensive interpersonal contact — such as construction labourers or nursing aides — remain among the least exposed to current AI technologies
  • Aggregate occupational exposure to AI has risen markedly since 2010, with especially rapid gains in the late 2010s and early 2020s
  • Our baseline estimates show no detectable effect of AI exposure on total firm employment, while it is associated with clear skill upgrading
    1. Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & .. (2026). Who is afraid of AI? Who should be?. Kiel Policy Brief, 2026.
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