Entrepreneurial branding: measuring consumer preferences through choice-based conjoint analysis

Start-ups face branding challenges. Not only are they confronted with the task of building brands from scratch, their newness also leads to a particularly high amount of customer uncertainty. This paper contributes to the emerging field of entrepreneurial branding by investigating start-up characteristics that signal trustworthy information to potential customers. An extended choice-based conjoint approach for modeling brand equity is used to explore the impact of different signals as initiated by established and new firms in the field of tablet computers. An empirical study reveals brand signals that have significant effects on purchase probabilities and are appropriate to overcome information asymmetries between start-ups and prospective customers.     

Extending the link between entrepreneurial self-efficacy and intention: a moderated mediation model

This study extended the research on the relationship between entrepreneurial self-efficacy and intention by developing a moderated mediation model. This model posits that the link between entrepreneurial self-efficacy and intention is mediated by attitudes toward entrepreneurship and planned entrepreneurial control, and that these mediation processes are further moderated by subjective norms. Based on a sample of 308 valid responses, regression analysis yielded two noteworthy results. First, entrepreneurial self-efficacy positively affects intention through attitudes toward entrepreneurship and planned entrepreneurial control. Second, the direct effect of entrepreneurial self-efficacy on intention decreases as subjective norms increase. By contrast, the indirect intention effects of entrepreneurial self-efficacy through attitudes toward entrepreneurship and planned entrepreneurial control increase as subjective norms increase. In addition, the results indicated that subjective norms positively affect entrepreneurial intention. These findings indicated that the model advances the use of the theory of planned behavior and can be used to define a person as an entrepreneur.     

Social capital effects on the discovery and exploitation of entrepreneurial opportunities

Social capital refers to social networks and the norms of reciprocity, cooperation and trust associated with them. It can be studied at different levels of analysis. As previous literature suggests, social capital has aspects at both the individual and collective levels. However, theory development and empirical research have focused on separate, sometimes diverging levels. In an attempt to address this, this research examines the simultaneous influence of individual and regional social capital on the discovery and exploitation of entrepreneurial opportunities using individual-level data from the Global Entrepreneurship Monitor linked with regional-level data on social capital. The results show that individuals from regions with higher social capital are more likely to discover and to exploit entrepreneurial opportunities. Moreover, individuals having networks with other entrepreneurs are also more likely to identify a business opportunity and to become an entrepreneur. Also, we found that social capital at individual level had a greater effect than social capital at regional level in the two stages of the entrepreneurial process.     

Network ties and entrepreneurial orientation: Innovative performance of SMEs in a developing country

This study investigates the role of intra-cluster ties, extra-cluster ties, and entrepreneurial orientation in shaping firms’ innovative performance. We conduct our analysis on a primary data set of 120 small and medium enterprises located in the Cibaduyut footwear-manufacturing cluster, Indonesia. We explore the effectiveness of knowledge acquisition through intra-cluster ties and extra-cluster ties on innovative performance. We find that extra-cluster ties mediate the relationship between proactiveness and innovative performance. Also, a combination of high extra-cluster ties and risk taking exert a positive impact on innovative performance. Surprisingly, we find that risk taking negatively moderates the influence of intra-cluster ties on innovative performance. Over-reliance on within-cluster knowledge sharing may result in the diffusion of redundant knowledge rather than making new knowledge available to the firm. Overall, our findings point to the synergistic effects of entrepreneurial orientation and extra-cluster ties on innovative performance.     

Entrepreneur location decisions across industries

In this paper we analyse whether entrepreneur location decisions differ across industries and identify the factors determining the choice of location between rural and urban environments. Firm location is based on a new taxonomy developed over the influential three dimensions of Hayter’s (1997) approach. The paper uses data from sample of one thousand Portuguese firms. We present a stylized theoretical model to determine how these new five dimensions influence firm’s location and test the model through a logistic regression. Our results show that that the location decisions depend on the sector of activity, type of area (urban vs. rural) and the characteristics of the entrepreneur. We find that companies engaged in knowledge intensive business services prefer to locate in urban areas. From an institutional point of view, firms prefer to locate in rural areas.     

The impact of culture on national prevalence rates of social and commercial entrepreneurship

This cross-cultural study empirically investigates the cultural determinants of macro-level social and commercial entrepreneurship from a new institutional theory perspective. This study investigates if cultural shifts in cultural values, operationalized through the World Values Survey (WVS), impact the prevalence rates of social and commercial entrepreneurship at the national level. Social and commercial entrepreneurship rates are drawn from the 2009 Global Entrepreneurship Monitor (GEM) and aggregated for 53 countries in this cross-sectional analysis using multivariate regression. Findings indicate that traditional societal values positively impact commercial entrepreneurship prevalence rates, but negatively impact social entrepreneurship rates. Furthermore, self-expression societal values positively impact social entrepreneurship prevalence rates.     

Robustness of banking networks to idiosyncratic and systemic shocks: a network-based approach

We propose a network-based structural model of credit risk to demonstrate how idiosyncratic and systemic shocks propagate across the banking system and evaluate the costs. The banking system is built as a network of heterogeneous banks which are connected with one another. In such a system, single credit events propagate through the interbank market from debtors to creditors and across the system. The shock is imposed as an unexpected event. We demonstrate that while idiosyncratic shocks cannot substantially disturb the banking system, a systemic shock of even a moderate magnitude can be highly detrimental. Such shock includes a huge contagious potential. We demonstrate that the costs of the shock are largely determined by the extent of contagion and range from negligible to catastrophic. The results imply that a severe crisis has to be initiated by a systemic shock of at least moderate magnitude. Capital ratio and the bank size are two additional factors of the banking system stability. Finally, credit risk analysis is sensitive to the network topology and exhibits a profound nonlinear characteristic.     

International automotive production networks: how the web comes together

This paper aims to provide empirical evidence for the connections between new trade theory and the spatial distribution of economic activities, considering the results obtained by the literature on New Economic Geography as a starting point. To do this, we apply Social Network Analysis specifically to the World Automotive Trade Network. We explore the structural features of the auto network for the years 1996 and 2009 using data on trade flows for 172 countries. Our findings suggest that the auto network has become denser, more extensive and more integrated over time, depicting a center-periphery structure in which regional clusters play a prominent role. In this configuration, strong agglomeration forces generated by companies’ desire for large and rich market access with minimum transportation costs are balanced by the search for new high-potential markets.     

Phase transition in the S&P stock market

We analyze the returns of stocks contained in the Standard & Poor’s 500 index from 1987 until 2011. We use covariance matrices of the firms’ returns determined in a time windows of several years. We find that the eigenvector belonging to the leading eigenvalue (the market) exhibits a phase transition. The market is in an ordered state from 1995 to 2005 and in a disordered state after 2005. We can relate this transition to an order parameter derived from the stocks’ beta and the trading volume. This order parameter can also be interpreted within an agent-based model.