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Entrepreneurial teams' acquisition of talent: Evidence from technology manufacturing industries using a two-sided approach

Ganco, Martin - ; Honoré, Florence - ;

Research summary: One of the established findings in the spinout literature is that founders with prior industry experience assemble larger entrepreneurial teams and create better-performing startups. We examine the role of prior industry experience in the startups' next stage—its hiring of new employees. We tackle two empirical challenges—the mutual aspect of hiring and the effect of unobserved variables on employees' earnings using a two-sided matching model. Our results reveal that even firms founded by entrepreneurs without industry experience can attract new employees with such experience if the founders start with a large entrepreneurial team. Further, startups provide new hires with an earnings premium for their industry experience. Our approach illustrates the benefits of matching models over traditional regressions.

Managerial summary: Growing startups face the question of who to hire and how much to compensate the new hires. Simultaneously, prospective new hires ask which startup to join and how much their salary will be. We explore these questions using a novel method that tackles the mutual selection process. In the context of five technological manufacturing industries, we find that having industry experience within founding teams may not be necessary to attract new hires with high quality if the startup can signal its own quality through other means such as having a larger founding team. Our results indicate that startups prefer employees with industry experience for which startups offer a wage premium. Thus, employees seeking startup employment benefit from gaining industry experience prior to joining a startup.


Ketersediaan

Call NumberLocationAvailable
PSB lt.2 - Karya Akhir (Majalah)1
PenerbitUSA: Strategic Management Society 2023
EdisiVol. 44 Issue 1, Jan 2023
SubjekStartups
Entrepreneurial earnings
Entrepreneurial hiring
Prior industry experience
Two-sided matching model
ISBN/ISSN1097-0266
KlasifikasiNONE
Deskripsi Fisik365 p.
Info Detail SpesifikStrategic Management Journal
Other Version/RelatedTidak tersedia versi lain
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