Bat Batjargal

Network Triads: Transitivity, Referral and Venture Capital Decisions in China and Russia

This article examines effects of dyadic ties and interpersonal trust on referrals and investment decisions of venture capitalists in the Chinese and Russian contexts. The study uses the postulate of transitivity of social network theory as a conceptual framework. The findings reveal that referee-venture capitalist tie, referee-entrepreneur tie, and interpersonal trust between referee and venture capitalist have positive effects on referrals and investment decisions of venture capitalists. The institutional, social and cultural differences between China and Russia have minimal effects on referrals. Interpersonal trust has positive effects on investment decisions in Russia.

Comparative Social Capital: Networks of Entrepreneurs and Venture Capitalists in China and Russia

I compare networks of entrepreneurs and venture capitalists in China and Russia by examining professional social networks of software entrepreneurs and private equity investors from the perspectives of institutional theory and culture paradigm. In the empirical study, I draw on survey data from Beijing and Moscow based on interviews of 159 software entrepreneurs and 124 venture capital decisions. I found that professional networks of the Chinese software entrepreneurs are smaller, denser and more homogeneous in educational specializations, compared with the networks of Russian entrepreneurs. Furthermore, I found that both ties and interpersonal trust in the referral tie are stronger in China than in Russia.

Family Ties in Entrepreneurs' Social Networks and New Venture Growth

Family ties are an important conduit of resources for entrepreneurs, but both positive and negative outcomes can arise. Building upon a family embeddedness perspective, we develop hypotheses about curvilinear relationships between the proportion of family ties in entrepreneurs’ networks and venture growth. We test them on entrepreneurs from China, France, Russia, and the United States. These effects appear to be related to the type of entrepreneurs’ social network (business advice, emotional support, and business resources). Our results confirm effects specific to each network: an inverted U–shape for advice and emotional support networks but a U–shape for the business resource network, measuring what proportion of kin in each entrepreneurial network type is valuable to or, conversely, undermines new venture growth.

Network dynamics and new ventures in China: A longitudinal study

This study examines the effects of networking skills of entrepreneurs on network dynamics and venture legitimacy. The article is based on the longitudinal survey data of 94 Internet entrepreneurs in Beijing, China. The findings suggest that networking skills of entrepreneurs have positive effects on the structural changes of entrepreneurial networks over time. Further, improvements in networking skills of entrepreneurs are conducive to greater venture legitimacy measured as the number of institutional investors in the new venture. The research and practical implications are discussed.

Entrepreneurial Versatility, Resources and Firm Performance in Russia: A Panel Study

Drawing on the Upper-Echelons Perspective and Resource-Based View of the firm this paper explores effects of human-based resources of entrepreneurs, viz., social capital, human capital and entrepreneurial versatility, on firm performance in the context of a large transition economy - the Russian Federation. The empirical data is comprised of the face-to-face interviews with 75 Russian entrepreneurs in 1995 and the follow-up interviews with 56 original respondents in 1999. The finding suggests that entrepreneurial versatility have stronger positive impacts on firm performance in comparison to general human-based

Software Entrepreneurship: Knowledge Networks and Performance of Software Ventures in China and Russia

This study examines the impact of entrepreneurs??? network structure and knowledge homogeneity/heterogeneity of their network members on product development, and revenue growth of software ventures in China and Russia. The empirical data are composed of structured interviews with 159 software entrepreneurs in Beijing and Moscow. The study found that structural holes and knowledge heterogeneity affect positively product diversity in interactive ways. The study also found that knowledge homogeneity accelerates product development. Product development speed enhances revenue growth in the long term. However, the combination of speed with dense and homogeneous networks harms revenue growth over time. The effects of structural holes and knowledge heterogeneity on product diversity and revenue growth over time are more salient in Russia due to the unique institutional, social, and cultural conditions present in the country.

Comparative Social Capital: Networks of Entrepreneurs and Investors in China and Russia

Most studies on entrepreneurs??? networks incorporate social capital and networks as independent variables that affect entrepreneurs??? actions and its outcomes. By contrast, this article examines social capital of the Chinese and Russian entrepreneurs and venture capitalists as dependent variables, and it examines entrepreneurs??? social capital from the perspectives of institutional theory and cultural theory. The empirical data are composed of structured telephone interviews with 159 software entrepreneurs, and the data of 124 venture capital decisions in Beijing and Moscow. The study found that social networks of the Chinese entrepreneurs are smaller in size, denser in structure, and more homogeneous in composition compared to networks of the Russian entrepreneurs due to the institutional and cultural differences between the two countries. Furthermore, the study revealed that dyadic (two-person) ties are stronger and interpersonal trust is greater in China than in Russia. The research and practical implications are discussed.

Entrepreneurial Networking in China and Russia: Comparative Analysis and Implications for Western Executives

In this article, I compare personal networks of Chinese and Russian entrepreneurs in terms of network structure, relationships and resources accessed in networks. The Chinese data is composed of longitudinal phone interviews with 94 Internet entrepreneurs in Beijing, and the Russian data is comprised of longitudinal face-to-face interviews with 75 entrepreneurs in Moscow, Ekaterinburg and Petrozavodsk. Implications for Western executives are discussed.