Calm in the Storm: Job Security and Post-Merger Performance in Family versus Nonfamily Firms

Building on social identity theory, we theorize and find that in a merger, paired family firms are better able to retain employees and improve post-merger performance compared to other merger pairs. We contribute to social identity theory by theorizing better post-merger performance as mediated by job security for family firm combinations. We also contribute to the job security and merger and acquisition literature by examining how job security and post-merger performance vary based on the paired social identity of owners. In addition to identity similarity, the type of identity also matters in mergers. We argue that family owner social identity similarity fosters greater integration between merging parties while allowing family owner pairs to retain some autonomy through their employees, thereby maximizing post-merger performance. Our data on private Swedish firms, complemented by 11 qualitative interviews across five countries and three continents, confirm that family mergers outperform other merger combinations via job security. In a supplementary critical experiment examining industry dissimilarity, we compare the socioemotional wealth perspective—which emphasizes loss aversion and predicts family firms’ unrelated diversification avoidance—to social identity theory. Consistent with social identity theory, our results show that both job security and post-merger performance improve with unrelated family firm mergers.

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Publication Details

Journal
Academy of Management Journal
Published
2025-03-24
DOI
https://doi.org/10.5465/amj.2023.0496
Citations
7
Primary Topic
Family Business Performance and Succession
Type
article
Field-Weighted Citation Impact
19.35
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article

Calm in the Storm: Job Security and Post-Merger Performance in Family versus Nonfamily Firms

Massimo Baù, Seemantini Pathak, Francesco Chirico, Robert E. Hoskisson
7 citations
Academy of Management Journal
Family Business Performance and Succession
19.35
article

Calm in the Storm: Job Security and Post-Merger Performance in Family versus Nonfamily Firms

Massimo Baù, Seemantini Pathak, Francesco Chirico, Robert E. Hoskisson
article en
7 citations

Abstract

Building on social identity theory, we theorize and find that in a merger, paired family firms are better able to retain employees and improve post-merger performance compared to other merger pairs. We contribute to social identity theory by theorizing better post-merger performance as mediated by job security for family firm combinations. We also contribute to the job security and merger and acquisition literature by examining how job security and post-merger performance vary based on the paired social identity of owners. In addition to identity similarity, the type of identity also matters in mergers. We argue that family owner social identity similarity fosters greater integration between merging parties while allowing family owner pairs to retain some autonomy through their employees, thereby maximizing post-merger performance. Our data on private Swedish firms, complemented by 11 qualitative interviews across five countries and three continents, confirm that family mergers outperform other merger combinations via job security. In a supplementary critical experiment examining industry dissimilarity, we compare the socioemotional wealth perspective—which emphasizes loss aversion and predicts family firms’ unrelated diversification avoidance—to social identity theory. Consistent with social identity theory, our results show that both job security and post-merger performance improve with unrelated family firm mergers.

Academy of Management Journal
Western University (CA), Rice University (US), Jönköping University (SE), Macquarie University (AU)
Decent work and economic growth
Openalex Percentile: Top 1%
Family Business Performance and Succession
19.35
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Calm in the Storm: Job Security and Post-Merger Performance in Family versus Nonfamily Firms — Massimo Baù, Seemantini Pathak, et al. · Academy of Management Journal (2025) | TGRS Research Map | TGRS