Abstract
Entrepreneurial spawning is the transitory process by which employees of an existing firm leave their employment to initiate a new business venture. There is a lack of consensus regarding the predictors of entrepreneurial spawning. We used meta-analysis to analyze 28 studies (with 128 effect sizes) to examine the predictors of entrepreneurial spawning. Based on knowledge-based perspective, we hypothesize that employee characteristics (age, education, and job position) and parent firm characteristics (firm age, firm performance, and firm diversity) are significantly related to entrepreneurial spawning. We identified two inverted U-shaped relationships (age and tenure with entrepreneurial spawning) based on our meta-analytic hierarchical multiple regression analyses. Based on labor market rigidity perspectives, we also examined how country region (North America versus Europe) moderates the relationships between employee characteristics and entrepreneurial spawning and between parent firm characteristics and entrepreneurial spawning. Our paper provides theoretical and practical implications.
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Notes
(1) School to venture, (2) job to venture, (3) unemployment to venture, (4) home to venture, and (5) venture to venture
In the snowball approach, we reviewed the reference list of selected critical articles as well as the papers or books that cited selected critical articles in order to identify additional studies.
We exclude those who are founders of their ventures and leave their current companies and create the other venture (i.e., subsequent entrepreneurs).
Some studies included in our meta-analysis were unpublished, and one may worry whether these studies will influence our meta-analytic results. We argue they should not exert any noticeable effect on our results. First, we only extracted very basic statistic information from the paper (e.g., sample size and correlation coefficients) and they were unlikely to be incorrect regardless of whether they are published or not. Second, these unpublished studies were available on either Social Science Research Network (SSRN) or authors’ personal research websites and readers can easily download and go through these papers to replicate our coding and results. We also argue that including these unpublished studies may help our meta-analytic review to minimize the threats of publication bias (Kepes et al. 2012, 2013). We thank an anonymous reviewer who requested us to address this issue.
We thank an anonymous reviewer for requesting us to perform a vote-counting analysis.
We appreciate an anonymous reviewer to recommend us to discuss the issue of measurement heterogeneity.
References
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Order of authorship: Robert P. Garrett, Jr. is first author. Chao Miao, Shanshan Qian, and Tae Jun Bae are second authors and equally contribute to this paper.
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Garrett, R.P., Miao, C., Qian, S. et al. Entrepreneurial spawning and knowledge-based perspective: a meta-analysis. Small Bus Econ 49, 355–378 (2017). https://doi.org/10.1007/s11187-017-9842-1
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DOI: https://doi.org/10.1007/s11187-017-9842-1