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The purpose of this paper is to disentangle individual-level gender differences and norm-based gender roles and stereotypes to provide a finer-grained understanding of why female and male entrepreneurs experience different growth returns from their social networks across different national cultures.

This research uses a survey of 637 (278 female and 359 male) entrepreneurs across four nations varying on relational culture (importance of social relationships) and gender egalitarianism (importance of gender equality or neutrality in social and economic roles).

The authors find evidence that male entrepreneurs in high relational cultures benefit the most in terms of growth in revenues from larger network size while women in low relational cultures benefit the least. In cultures with low gender egalitarianism, male entrepreneurs benefit more from their larger social networks than did the female entrepreneurs.

The study presents implications for female entrepreneurs’ behaviors to gain more benefits from their social networks, especially in cultural contexts where relationships are important or where there is equality in gender roles. In these contexts, they may need to develop other strategies and rely less on social networks to grow their ventures.

This research suggests that female entrepreneurs still are disadvantaged in some societies. National policy may focus on developing more opportunities and providing more support to women entrepreneurs as a valuable contributor to economic growth of the nations.

The authors disentangle the effects of gender differences, norm-based gender stereotypes and networks on entrepreneurial outcomes.

Entrepreneurship remains a young scholarly discipline characterized by low paradigmatic development. Herein, we discuss theoretical and methodological issues associated with this rapidly emerging yet still developing research area. We argue that theory and methodology are symbiotic components of research and should develop concurrently in order to support the evolution of a paradigm for entrepreneurship research. Further, we posit that effective growth of entrepreneurship research will occur as a result of appropriately extending theory and methods from other scholarly disciplines as well as from theoretical and methodological innovations that are unique to entrepreneurship. Based on the positions taken in this chapter, we also advance recommendations for scholars to consider as work is completed to develop a systematic body of knowledge about entrepreneurship.

This article is premised on the idea that social networks represent an important, but often overlooked, unit of analysis in management and entrepreneurship studies. The concept of embeddedness, emphasizing the significance of social relationships, is of particular relevance as more and more frequently minorities and immigrants engage in small businessownership. This article borrows from the ethnicity and social network traditions, and offers that an analysis of the ethnic homogeneity of an entrepreneur's strong and weak social ties would be fruitful in gauging entrepreneurial success.

Informed by multiple disciplines, theories, and methods, higher education scholars have developed a robust and diverse literature in many countries. Yet, some important (organizational) sociological perspectives, both more established and more recent, are insufficiently linked. In particular, we identify two theoretical strands – institutional and relational – that, when joined, help to explain contemporary developments in global higher education and yield new organizational insights. We review relevant literature from each perspective, both in their general formulations and with specific reference to contemporary higher education research. Within the broad institutional strand, we highlight strategic action fields, organizational actorhood, and associational memberships. Within the relational strand, we focus on ties and relationships that are especially crucial as science has entered an age of (inter)national research collaboration. Across these theories, we discuss linkages between concepts, objects, and levels of analysis. We explore the methodological approach of social network analysis as it offers great potential to connect these strands and, thus, to advance contemporary higher education research in a collaborative era.

Social media technology use has elicited an increased interest among academicians and researchers worldwide. The present study examines the latent constructs, such as social media technology use (SMTU), innovation capability (IC), entrepreneurial orientation (EO) and innovation performance (IP), which have not been studied by researchers in the past. The purpose of the study is to examine the impact of SMTU and IC on EO and highlight the impact of EO on IP.

A questionnaire survey was conducted to collect data from 164 entrepreneurs, which included CEO/owners, managers or founders of start-up companies from India. The data were analysed with the structural equation model technique.

The results demonstrate that the model proposed in this study supports all the hypotheses of SMTU, IC, EO and IP. The results of this study provide evidence for the importance of SMTU as a crucial factor that came out from the analysis of Indian entrepreneurs which reiterates the point that the user-generated content could be very important. The results of the research show that entrepreneurs value and are looking forward to using social media for getting individual reviews from consumers about their marketing campaigns, product development and innovation.

At the level of practice there are significant implications for decision-makers in start-up firms to become more attuned to how SMTU can significantly add importance to the customer experience. This study would also help managers and policymakers in understanding the importance of SMTU when seeking to improve the performance of the organizations.

Owing to the increasingly collaborative innovation environment in entrepreneurship, the authors draw the attention of managers to the need of SMTU for innovation actions and provide a logical framework to guide action for organizational analysis.

Growth in scientific production and productivity over the 20th century resulted significantly from three major countries in European science – France, Germany, and the United Kingdom. Charting the development of universities and research institutes that bolster Europe’s key position in global science, we uncover both stable and dynamic patterns of productivity in the fields of STEM, including health, over the 20th century. Ongoing internationalization of higher education and science has been accompanied by increasing competition and collaboration. Despite policy goals to foster innovation and expand research capacity, policies cannot fully account for the differential growth of scientific productivity we chart from 1975 to 2010.

Our sociological neo-institutional framework facilitates explanation of differences in institutional settings, organizational forms, and organizations that produce the most European research. We measure growth of published peer-reviewed articles indexed in Thomson Reuters’ Science Citation Index Expanded (SCIE).

Organizational forms vary in their contributions, with universities accounting for nearly half but rising in France; ultrastable in Germany at four-fifths, and growing at around two-thirds in the United Kingdom. Differing institutionalization pathways created the conditions necessary for continuous, but varying growth in scientific production and productivity in the European center of global science. The research university is key in all three countries, and we identify organizations leading in research output.

Few studies explicitly compare across time, space, and different levels of analysis. We show how important European science has been to overall global science production and productivity. In-depth comparisons, especially the organizational fields and forms in which science is produced, are crucial if policy is to support research and development.

The purpose of this study was to understand the types of texts currently being used and recommended within the field of leadership education. Data triangulation methods were used to identify academic and popular texts for a content analysis. Themes emerged relating to context, writing style, method, and content.