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The purpose of this paper is to discuss how venture capital institutions can use their syndicated investment network to help listed companies to achieve better performance in mergers and acquisitions (M&A) activities.

This paper builds a fixed effect unbalanced panel regression model to study the impact of venture capital network on the M&A performance of listed companies.

Evidence indicated that the stronger the information resource acquisition ability of venture capital institutions in the network, the better the listed company's M&A performance supported; the stronger the information resource control ability of venture capital institutions in the network, the better the listed company's M&A performance supported; the higher the participation of venture capital institutions, the more significant the positive impact of information resource acquisition and information resource control abilities on M&A performance in the network.

The data in this paper are from China's Growth Enterprise Market (GEM), other markets may be considered in the future research studies.

The research conclusions of this paper affirm the positive role played by venture capital institutions through syndicated investment in eliminating information asymmetry in M&A of invested companies. The information resource acquisition and control abilities and participation degree of the venture capital network have positively promoted the M&A performance of the invested enterprises.

The conclusions of this paper not only provide useful supplements to existing research literature on venture capital network functions and corporate M&A but also have certain guiding value for venture capital institutions and start-ups to better use venture capital practices to improve their capabilities and performance.

The purpose of this paper is to investigate how the organization’s life-cycle stages influence the venture capital investor’s decision. The present study also aims to explore the relationships between life cycle stages and financing decisions of investors of an organization.

The research focuses on a qualitative approach and adopts descriptive and case study methods to perceive the data collected. By the multi-case research approach, the authors conducted interviews in analytics and technological companies. The data originates from semi-structured interviews and publicly available data with various venture capital firms.

In this research, 10 stages of the organization’s life cycle from the Adizes theory have been considered. It starts from the first two stages as courtship and infancy to bureaucracy and death to the final stages. The results and findings indicate that life cycle stages influence venture capitalist financing decisions.

The implications of the current research help venture capitalist to take investment decisions according to the life cycle stage of the organization. Furthermore, according to the stage of the organization, the owner of a venture capital firm can approach various venture capitalists for the betterment of the organization.

The novelty of this research is to consider a case-based approach involving Adizes’ life cycle in all 10 stages of venture capital firms that affect venture capitalists.

The purpose of this paper is to identify the key characteristics of the post‐investment relationship between the venture capital firm and its investee companies.

The research is a case study of a major UK venture capital firm using qualitative research to determine the key characteristics of the post‐investment relationship. The study is based on interviews with parties on both sides of the relationship.

While the results reflect the findings of the entrepreneurship and venture capital literature they also point to the importance of network growth and development for organizational learning in the venture capital industry, professionalization of investee firms and as a context in which the selection of the entrepreneur and the post investment relationship are set.

The research has the limitation of most case studies that the results cannot readily be generalized, in this case to the wider population of venture capital firms. Confidentiality issues also limited the extent to which a longitudinal study could be conducted.

A better understanding of the post‐investment relationship can inform entrepreneurs in their pitch for funds and in their anticipation of the post investment relationship. This understanding can also assist venture capital firms in the management of this relationship.

The case study uses data from rare access to a venture capital firm. It also differs by interviewing both parties to the post‐investment relationship, that is venture capitalist and investee firm.

The existing literature on venture capitalists’ (VCs’) exits provides insufficient evidence regarding factors affecting the exit decision. This study aims to identify these factors and examine how VC firms do ranking or prioritize these factors.

The study is based on primary data. The qualitative analysis was done to develop the survey instrument. Fuzzy analytical hierarchical process, which is a popular method of multi-criteria decision modeling, is used to identify or rank the determinants of exit strategy by venture capital firms in India.

Broadly, eight determinants of exit strategy are ranked by VCs. A total of 33 statements describe these eight determinants. The results are analyzed on the basis of four measures of VCs’ profile, i.e. age of VC firm, number of start-ups in portfolios, type of investment and amount of investment.

The survey instrument needs to be validated with a larger sample size and other financial backers than VCs.

The study has direct managerial implication for VC firms as it provides useful information regarding the determinants of exit strategy by VC firms in India. These findings can provide necessary information to other financial backers too, viz., angel investors, banks, non-banking financial institutions and other individual and syndicated set-ups providing funding to start-ups.

The current research is unique as no prior study has explored the determinants of VCs exit strategy and prioritizing these determinants.

This study examines the social and human capital of successful Arab and Jewish technological entrepreneurs in Israel, and explores how human and social capital differ between technology-based industries.

A quantitative study was conducted using a sample of 1,184 technology-based ventures from two technology-based industries—life science (LS) and information technology (IT)—that were founded by Jewish and Arab entrepreneurs.

The results show that in the LS industry, successful Arab entrepreneurs possess higher human and social capital compared with Jewish entrepreneurs. However, in the IT industry, the Jewish entrepreneurs possess higher human and social capital. These findings reflect the deeper entrepreneurial challenges and opportunities regarding ethnic entrepreneurs' ability to break through technology-based industries. Future research directions are provided.

This study makes two contributions to the theoretical understanding of ethnic entrepreneurship and technology-based ventures. First, this study focuses on the impact of human and social capital on economic growth in the context of technological entrepreneurship in technology-based industries, since the ethnic entrepreneurship literature has mainly focused on traditional industries. Second, this study examines the effect of the founders' ethnicity, and explores how human and social capital factors vary across industries due to their specific contextual characteristics.

The purpose of this paper is to focus on the possibilities and limitations of venture capital formation in Bosnia and Herzegovina and Macedonia where there has been a lack of success and benefits of small- and medium-sized enterprises (SMEs) from this type of financing.

The paper provides a rationale for specific methodological choices and justifies its choice. Both quantitative and qualitative methods were employed. The methods section (research design) explains the entry criteria for the study population, specific imaging techniques and methods of data analysis.

Venture capital invest in companies in the beginning to achieve an above average return on investment. Unfortunately, there are no officially registered venture capital funds in Bosnia and Herzegovina. For the venture capital funds to operate, it is necessary to adopt regulations governing this area, to create a favorable tax system and introduce a cash basis for VAT calculation for SMEs. The majority of respondents in the research believe that in the establishment of venture capital funds would provide one of the greatest supports by the governments of these countries, analyzing the economic situation in these countries, it is apparent that there is an under-developed legal and tax system, which does not support SMEs. In order to attract foreign and domestic investors, and form venture capital funds, it is necessary to create a favorable business environment.

The paper contains novel information and insight into VC funds in two transition economies of Bosnia and Herzegovina and Macedonia.

Sustainable Family Business Theory states that human, social, and financial capital are important for new family venture growth, yet there may be multiple combinations that could be beneficial. The purpose of this paper is to examine whether all three types of resources are always needed for growth.

Fuzzy-set Qualitative Comparative Analysis, a configurational method, is used to investigate which combinations of human, social, and financial capital consistently lead to new family venture growth.

Multiple distinct combinations of resources – usually containing some form of human capital along with either social or financial capital – were sufficient for new family ventures to grow.

The findings contribute to a more accurate Sustainable Family Business Theory in terms of the resource bundles needed to achieve growth. Not all three primary resources are needed at founding for the venture to grow. Results suggest a need for renewed focus on human capital in family venture research, as well as further investigations of the resource configurations uncovered here and their effects on family firm outcomes.

Given the costs associated with acquiring resources, the findings can inform family entrepreneurs and other stakeholders purposed with assisting new family ventures regarding optimal avenues of achieving growth.

This study advances theory by demonstrating which combinations of primary resources lead to new family venture growth. The findings shed light on how human, social, and financial capital may substitute for each other, as well as how the value of each depends on the presence or absence of the others.

Interest in venture capital markets continues to be of relevance to politicians and policy makers, recognizing the importance of government participation in venture capital market development. Yet advice regarding developing venture capital markets appears increasingly disparate. The paper aims to discuss these issues.

The authors engage the assumptions that underpin three dominant policy approaches to the development of venture capital markets with regard to the role of governments in that process. The authors categorize existing empirical studies against three approaches and give examples of the different government policies associated with the various approaches.

Direct and indirect approaches recognize the importance of active stock markets but largely ignore the dynamic processes of markets, asserting that the provision of capital, institutional changes, and financial incentives ex ante will cause a positive market reaction, regardless of the market’s context. The recent timed approached is purported as being more comprehensive in its awareness of the need to adapt to countries’ contexts and the need for varying policies at the different stages of market emergence.

Limited empirical research tests the voracity and limitations of the timed approach. The challenge in doing so is that evolutionary theories typically explain an event after it has occurred, thus its predictive power is often limited. Future research might investigate the efficacy of policy levers based on the timed approach.

The authors highlight the need for the development of venture capital markets, rather than a venture capital industry.

The authors extend the existing venture capital market development categories and evaluate each approach in terms of the efficacy of government’s roles in venture capital market development in light of the existing evidence of economic development and entrepreneurial activity.

The purpose of this paper is twofold to examine the factors that contribute to local bias of venture capital in China and to explore the relationship between local bias and performance of venture capital institutions.

Local bias was measured in line with the model developed by Cumming and Dai (2010). Regression techniques were performed for our long-term cross-sectional data to analyse the potential determinants of local bias. This is followed by the Probit model to test the relationship between local preference and successful exit.

The overall finding indicated that local bias in China increased over time. The stiff competition among venture capital institutions reduced local bias, but the enhanced innovation capabilities of a particular geographical area amplified local bias because of the knowledge spillover effect. Finally, the results suggested that venture capital institutions with less local bias enjoy a greater likelihood of making successful exits.

This study used successful venture capital exit as a proxy for venture capital institution’s performance because of the unavailability of information such as internal rate of return. Future research should try to adopt other way of measuring venture capital institution’s performance.

This study sheds light on the various possible causes of local bias that the policymakers need to be aware of. Despite the rapid rise of China’s venture capital market in recent years, venture capital institutions have yet to make inroads into the local high-tech industry. This study implies to the policymakers that to reverse this trend, they should formulate policies that foster the long-term performance of venture capital institutions, mitigate the severity of local bias and raise the competitiveness of the Chinese venture capital market.

Because of data limitations, there is currently lack of prior empirical research on local bias of Chinese venture capital institutions based on large-scale data. This study intends to fill the gap.

Which venture capital is more beneficial in the product innovation of entrepreneurial ventures? The authors study the drawbacks and different effects of corporate venture capital (CVC) and independent venture capital (IVC) on the effectiveness and efficiency of product innovation in entrepreneurial ventures to answer this question.

This study uses a panel dataset of 502 high-tech ventures and runs the Heckman model to correct potential endogeneity issues.

The authors find that CVC increases the product innovation effectiveness of entrepreneurial ventures, but decreases their efficiency. IVC reduces innovation effectiveness and enhances efficiency. However, CVC performs less positively, while IVC performs more positively in terms of innovation effectiveness and efficiency in the B2B market than in the B2C market.

This study provides insights into how to leverage venture capital to develop new products effectively and efficiently.

This study moves beyond the current understanding of the finance-marketing interface. It delineates the two faces of venture capital and reveals the joint effects of equity stakes and market stakes between different types of venture capital and transaction markets in product innovation.