Entrepreneurial Team Composition Characteristics and New Venture Performance: A Meta-analysis

2014 ◽  
Vol 2014 (1) ◽  
pp. 10266 ◽  
Author(s):  
Linlin Jin ◽  
Franz W. Kellermanns ◽  
Jing Melanie Xi ◽  
T Russell Crook
2017 ◽  
Vol 41 (5) ◽  
pp. 743-771 ◽  
Author(s):  
Linlin Jin ◽  
Kristen Madison ◽  
Nils D. Kraiczy ◽  
Franz W. Kellermanns ◽  
T. Russell Crook ◽  
...  

Upper echelon theory highlights the importance of top management teams in large and established firms; however, effects are not always clear outside of this context. Due to the unique nature of new ventures, the composition of entrepreneurial teams and its effects on performance is worthy of investigation. Accordingly, we meta–analyze the effect of three characteristics of entrepreneurial team composition (i.e., aggregated, heterogeneity, team size) on new venture performance. Our meta–analysis, which includes 55 empirical samples and 8,892 observations, finds significant and unique effects of entrepreneurial team characteristics on new ventures. Based on our findings, we derive avenues for future research.


Author(s):  
Samuel Adomako ◽  
Albert Danso ◽  
Nathaniel Boso ◽  
Bedman Narteh

An ability to act upon an entrepreneurial opportunity is a major driver of new venture success. However, scholarly knowledge is limited on how and when entrepreneur alertness to entrepreneurial opportunities drives new venture success. This article addresses this gap arguing that variations in new venture performance are a function of levels of entrepreneurial alertness and networking capabilities. Using primary data gathered from 203 new ventures operating in a sub-Saharan African economy, Ghana, we find that increases in the levels of entrepreneurial alertness are related to increases in new venture performance. Additionally, we find that, under conditions of increased use of social and business networking capabilities, the potency of entrepreneurial alertness as a driver of new venture success is amplified. Theoretical, managerial and policy implications of these findings are discussed.


2020 ◽  
Vol 27 (5) ◽  
pp. 727-747
Author(s):  
Wenqing Wu ◽  
Hongxin Wang ◽  
Fu-Sheng Tsai

PurposeThis study analyses the relationship between the networks of business incubators (BIs) and new venture performance. It proposes an integrated model for identifying the influence of BIs' internal and external networks on new venture performance through the entrepreneurial orientation (EO) and environmental dynamism.Design/methodology/approachThe study uses multiple regression analysis on a sample of 205 new ventures in Chinese BIs.FindingsBoth the internal and external networks of BIs positively affect new venture performance and EO has a mediating effect in this relationship. Environmental dynamism plays a positive moderating role in the relationship between BIs' internal and external networks and EO.Practical implicationsBased on the results of this study, incubator managers should focus on creating internal and external networks and leveraging network embeddedness to influence new venture performance. Further, new ventures should focus on strengthening their EO and fully consider the impact of environmental dynamism on EO implementation.Originality/valueTo address the research gaps in understanding how BI networks can support new venture growth, this study integrates BIs' internal and external networks and explores their impacts on new venture performance using co-production theory and the resource-based view. It thus opens the black box on how BI's networks affect performance from the EO perspective. Moreover, this study fully clarifies chain relationships by identifying and analysing the moderating role of environmental dynamism.


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