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A critical aspect in venture capital (VC) exiting is the choice of exit mode. This study aims to predict if venture capitalists (VCs) can take the venture capital undertaking public by identifying the impact of investment attributes, market timing and macroeconomic conditions on the choice of mode of exit for VCs.

The study uses logistic regression on a sample of 632 Indian VC-backed firms where VCs exited during the past two decades via initial public offers (IPOs) and other routes, including strategic sale, secondary sale and buyback.

Results suggest that growth stage investments, larger syndication size and a larger number of IPOs increase the probability of exiting through IPOs, whereas investments in the information technology and information technology-enabled services industry have a higher likelihood of being exited through other routes. Region and gross domestic product are found to be statistically insignificant in predicting the likelihood for a particular mode of exit.

The results have practical implications for VCs as knowledge regarding the influence of investment attributes, market timing and macroeconomic conditions can help them in deciding their exit strategy vis-à-vis mode of exit and can maximize their potential gains. The results also have implications for the potential investors, primarily the public at large and acquirers.

The determinants of VC exit options remain an unexplored area in the Indian context. To the best of the authors’ knowledge, the study is the first of its kind that has used investment attributes, market timing and macroeconomic conditions to predict VC exit options in India.

The purpose of this paper is to examine the factors associated with three modes of firms’ exit (voluntary liquidation, involuntary liquidation and acquisition) in a mutually exclusive environment. In particular, three modes of exit are treated as independent events given that different causes and consequences exist for each exit mode. The data set is a panel of 4,408 US manufacturing firms spanning over the period 1976–1995.

The discrete choice model is used to establish a relationship between modes of exit and a set of explanatory variables, which are specific to the firm, industry and macroeconomic conditions. Use of panel data encourages us to estimate a random effects multinomial logistic regression model, which allows exit modes as mutually exclusive events and at the same time controls the firm-specific unobserved heterogeneity in the sample.

The analysis suggests that the determinants of voluntary liquidation are age, size, profitability, technology intensity and inflation level. The determinants of involuntary liquidation are size, leverage, profitability and inflation level. For acquisition, determinants are age, size, advertising intensity, Tobin’s q, GDP growth, inflation level and interest rate. The findings suggest that exit modes have a different set of determinants and the scale of effects of some common determinants such as age, size and profitability differs between exit modes.

The analysis presented in this study relies on data from US manufacturing firms only. Thus, there is a need to explore the determinants of exit modes in other countries as well using the proposed econometric model.

The findings presented in this paper are useful for managers and policymakers to design strategies/actions for avoiding particular mode of exit.

This study provides empirical evidence on the differences in factors associated with exit modes and confirms the existence of mutually exclusive nature of exit modes. Findings suggest that for future empirical studies on firm exit, the exit modes must be treated as a heterogeneous event.

The purpose is to examine the relationship between entrepreneurs’ exit strategies and modes of entry. The topic of exit strategies in the context of approaching retirement warrants further attention.

We apply logistic regression to analyse 1,192 responses to an online survey of firms with entrepreneurs aged over 55.

Family successors are more likely to choose family succession and buyers to choose to sell, but the association between founding and exit mode cannot be confirmed. Firm size is also significant. Our findings suggest that entry and exit via a business transfer are linked. Entrepreneurs might be influenced by their form of entry when choosing their exit strategy.

The data were collected from a single European country, limiting generalisation. Future research should incorporate intervening variables not controlled for here, such as, entrepreneurial experience. Future studies should also seek to test the existence of imprinting directly, as it is implied rather than verified here.

If the entry mode has a lasting effect on the entrepreneur as our results suggest, thus influencing the exit strategy selected, entrepreneurs could benefit from greater awareness of the imprinting mechanism. Increasing awareness of imprinted biases could unlock the benefits of exit strategies previously overlooked.

The study is the first to consider sale, family succession and liquidation as exit strategies in relation to the original entry mode of ageing owners. It contributes to the understanding of exit strategies of ageing entrepreneurs and proposes using entrepreneurial learning and imprinting as lenses to clarify the phenomenon.

The venture capital and private equity (VCPE) industry in India has grown significantly in recent years. During five‐year period 2004‐2008, the industry growth rate in India was the fastest globally and it rose to occupy the number three slot worldwide in terms of quantum of investments. However, academic research on the Indian VCPE industry has been limited. This paper seeks to fill the gap in research on the recent trends in the Indian VCPE industry.

Studies on the VCPE transactions have traditionally focused on one of the components of the investment lifecycle, i.e. investments, monitoring, or exit. This study is based on analyzing the investment life cycle in its entirety, from the time of investment by the VCPE fund till the time of exit. The analysis was based on a total of 1,912 VCPE transactions involving 1,503 firms during the years 2004‐2008.

Most VCPE investments were in late stage financing and took place many years after the incorporation of the investee firm. The industry was also characterized by the short duration of the investments. The type of exit was well predicted by the type of industry, financing stage, region of investment, and type of VCPE fund.

This paper highlights some of the key areas to ensure sustainable growth of the industry. Early stage funding opportunities should be increased to ensure that there is a strong pipeline of investment opportunities for late stage investors. VCPE investments should be seen as long‐term investments and not as “quick flips”. To achieve this, it is important to have a strong domestic VCPE industry which can stay invested in the portfolio company for a longer term.

Firms operate in a market for their corporate assets, wherein important assets being bought and sold are business units. This market is therefore a primary mechanism for firm reconfiguration, and offers the opportunity for firms to gain performance advantage as they prepare for and engage in their boundary-changing moves. This paper focuses on resource reconfiguration between firms, and examines internally and externally driven sources of performance heterogeneity in firms’ use of the market for firm reconfiguration. Viewing between-firm resource reconfiguration through three theoretical lenses surfaces several potential avenues for firm differentiation. For one, the necessity of firms’ possessing capabilities to execute both sides of the external resource reconfiguration transaction – acquisition and divestiture capabilities – is revealed. For another, the institutional prerequisites that are needed in the operating environment for a firm to build a sustainable resource reconfiguration strategy are brought to the fore, and are well illustrated by the private equity industry. Lastly, the potential benefits of using the transactional view of firm scope to animate the study of external resource reconfiguration are raised. Taken together, these elements lead to a research agenda around resource reconfiguration across firm boundaries.

The purpose of this study is to examine the firms’ determinants of being acquired in Indian manufacturing sector. There is evidence of relationship between likelihood of being acquired and several firm specific characteristics such as age, size, research and development (R&D), advertising intensity, productivity, leverage, profitability, intangible assets and financial constraints. However, little is known about the association between these characteristics and likelihood of acquisition in Indian manufacturing sector.

The sample is a panel of 2,189 Indian manufacturing firms spanning almost 10 years (1998-2007). Random effects logistic (REL) regression model is adopted to control the firm specific unobserved heterogeneity in the sample. This is an essential requirement for providing accurate and effective determinants of being acquired.

Empirical results reveal that the determinants of being acquired in Indian manufacturing sector are age, size, R&D intensity, advertising intensity, productivity and leverage. The findings indicate that increase in firms’ age, size, R&D intensity and advertising intensity increases the likelihood of being acquired. However, increase in productivity and leverage decreases the likelihood of being acquired.

Findings of this study may be useful for potential targets to arrive at more thoughtful assessment of their attractiveness and, accordingly, promote their acquisition as a more efficient mode of exit.

The paper contributes some empirical evidence on the determinants of being acquired in Indian manufacturing sector by using panel data and REL regression model.

Although economic and entrepreneurship scholars have argued that high income inequality has a positive impact on entrepreneurship by increasing the incentives for high quality human capital to take entrepreneurial risk and by enabling talented entrepreneurs to accumulate and reinvest capital into new businesses, we suggest that the relationship between economic inequality and entrepreneurship may be more complex than initially indicated in light of recent research on the topic of social trust and entrepreneurship. We propose that income inequality is likely to have a curvilinear effect on entrepreneurial activity. Although moderate levels of inequality can increase entrepreneurial activity, very high levels of inequality will begin to reduce rates of entrepreneurship due to diminished generalized social trust in the community. Lower generalized social trust decreases the sharing of information and resources leading to fewer entrepreneurial opportunities, and as a result, lower levels of entrepreneurship.

Going back into previously exited markets is a significant management risk. But, how are re-entry risks managed? By adding strategic reference point (SRP) rationales to the risk management literature, this chapter examines re-entry after initial entry and divestment on a sample of 654 multinational enterprise (MNE) re-entrants. The authors move away from narrow risk management lenses according to which risks happen in isolation and theorize that MNEs simultaneously manage international risk by exploiting the trade-offs among external and internal sources of risk. The authors explain that, for re-entrants, exit may become the SRP for evaluating future strategic choices. The results suggest that re-entrants tend to manage re-entry risk by choosing partner-based modes that enable them to maintain strategic flexibility at re-entry. Surprisingly perhaps, market-specific experience acquired during the initial market foray does not provide strategic flexibility, in that highly experienced firms still experience risk trade-offs.

Focusing on the global trade collapse and the subsequent recovery period, the purpose of this paper is to examine the export performance of firms that are involved in complex internationalization strategies.

The authors use a random-effects probit model with panel data and a dynamic panel data model (GMM system) for Spanish manufacturing firms from 2006 to 2013 period.

It is found that, once firm characteristics are controlled for, complex internationalization plays an important role in continuing to export and, additionally, positively influences the level of exports. Firms active in a complex mix of internationalization strategies have an added advantage, which enables them to confront the uncertainty of foreign markets in better conditions and translates to a lower likelihood of ceasing exporting and to higher export values.

The present paper throws light on this question by showing that the negative impact of trade collapse in 2009 on the export level was lower for firms inserted in complex internationalization strategies and the subsequent recovery was more intense.

The analysis goes one step further and investigates whether the impact is different during the trade collapse in 2009 and the following recovery. Here, previous empirical research at firm level on the role of complex internationalization strategies in trade is contradictory.

The purpose of this paper is to analyse whether and to what extent the labour market situation of young Italians affects their chances of exiting the parental home, differentiating between leaving parental home with or without a partner. The paper also considers whether contextual factors, such as the occurrence of the economic crisis and family-related characteristics, might play a moderating role. The main focus is to understand if new modes of becoming adult are emerging in a country in which leaving home occurs relatively late and where family ties are at the same time a source of protection and a source of reproduction of inequalities.

The paper uses longitudinal data from European Union Statistics on Income and Living Conditions for the period 2007–2014 and applies Event History Analysis techniques for discrete time data. The analyses estimate the hazard rate of leaving the parental home for a sample of Italian individuals in the age range of 16–40 who, at the beginning of the observation period, were living with their parents.

The empirical analyses highlight a negative association between exclusion from the labour market and housing autonomy, robust and consistent across gender and across types of transition. On the contrary, a situation of objective job insecurity does not emerge as being associated to lower chances of housing autonomy, compared to individuals with job stability. Moreover, the educational background of the family of origin does not show any mediating role on the relative disadvantage of unemployed and inactive individuals, while the relative disadvantage of inactive individuals tends to further worsen in the period after the economic crisis (2010–2014).

The paper contributes to the study of transitions to housing autonomy by differentiating between two modes: in couple or alone. Moreover, by introducing information on the educational background of parents and the time effect, the paper aims to combine different traditions of research coming from the sociology of work, family and inequalities.