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The purpose of this paper is to investigate the mediating role of international networking in the relationship between entrepreneurial mindset and small- and medium-sized enterprise (SME) internationalization using evidence from exporting SMEs in Uganda.

This study adopted a cross-sectional research design. Data were collected through a questionnaire survey of 206 exporting SMEs that are members of the Uganda Export Promotions Board. Data was analysed using SPSS and SmartPLS.

The study established that international networking mediates the relationship between entrepreneurial mindset and SME internationalization. This suggests that international networking is a conduit through which entrepreneurial mindset relates to SME internationalization.

This study was conducted within the particular national context of Uganda. Replication of this research within other settings is needed to cross-validate the present findings. The study reveals that the entrepreneurial proclivity of managers and owners of exporting SMEs in Uganda can be enhanced through establishing networks in foreign markets to realize international expansion. SMEs should therefore initiate, build and strengthen partner relationships in foreign markets for successful international expansion.

The study reveals that the entrepreneurial proclivity of managers and owners of exporting SMEs in Uganda can be enhanced through establishing networks in foreign markets to realize international expansion. SMEs in Uganda should, therefore, strive to support entrepreneurial-oriented individuals to initiate and establish foreign market partnerships for successful international expansion.

To the best of the authors’ knowledge, this is the first study to investigate the mediating role of international networking in the relationship between entrepreneurial mindset and SME internationalization from a developing country of Uganda.

Family farms are seen as a powerful force for rural development, and they are gaining more and more research attention. This study aims to explore the relationship between the social networks of family farms and the dual innovation of the family farm business model from the perspective of entrepreneurial orientation.

Using a questionnaire survey of 169 family farms in Qingdao, China, descriptive and inferential statistics were used to analyze the data collected. The study hypothesis was tested using inferential tests (regression analysis).

The study results show that innovative, efficiency- and novelty-based business models facilitated by social networks have a favorable and significant impact on the performance of family farms. Furthermore, the relationship between social networks and new business model creation is positively influenced by an entrepreneurial orientation.

This study is distinctive in that it examines the mechanisms underlying family farm growth from an entrepreneurial standpoint, classifying family farm social networks for the first time into social, market and governmental categories and looking at their impact on the creation of new business models. In addition, it looks into the relationship between the innovation and social network aspect of the family farm business model from an entrepreneurial perspective, offering fresh insight into this connection. It also examines the family farm business model’s connection to innovation and social networks from an entrepreneurial standpoint, providing new insight into this relationship.

The purpose of this study is to specifically look at the relationship between reliable network reliance and entrepreneurial performance.

To help achieve the study objective, 450 rural farmer-entrepreneurs from Jiangsu, Anhui, Guangxi and Zhejiang Provinces were randomly selected. The study concentrated mainly on entrepreneurs who have engaged in entrepreneurial activities the past five or more years.

This study’s findings show that network reliance has direct and indirect effects on entrepreneurial performance through external networking behaviour. The result further shows that external networking behaviour partially mediates the relationship between network reliance and entrepreneurial performance. On the moderation effect on entrepreneurial orientation (EO), the result reveals that it strengthens the relationship between external networking behaviour and entrepreneurial performance. The result shows that EO has a direct effect on entrepreneurial performance. The paper introduces behavioural component of network to entrepreneurial performance. The study concludes that external networking behaviour of entrepreneurs is key in entrepreneurship as it improves relationships among actors and thereby translating into an improved performance.

The paper brings to light the need to reconsider extension education by including elements of networking to enable rural entrepreneurs derive full benefits of their entrepreneurial ventures.

This paper considers the relevance which networks have for research at the Marketing/Entrepreneurship Interface. The paper argues that while there is some evidence to suggest that networks are an important tool for entrepreneurial firms, there is a need to more clearly explain what is meant by the terms “network” and “networking”. It is proposed that by using a definition of networks borrowed from the field of social anthropology, current understanding of the marketing benefits that can accrue to firms which make entrepreneurial use of networks can be advanced. Drawing upon the findings of research which employed such a definition, the paper concludes that networks and the activity of networking are indeed important entrepreneurial marketing tools and that further research attention to these is required to acquire a comprehensive understanding of these.

The purpose of this article is to develop a model to assess entrepreneurial ecosystems. Specifically, the authors examine how to measure value creation and value capture mechanisms from a single participant's perspective and at the ecosystem level through a strategic value network-based approach.

Building on extant research on strategic networks, value networks and business models and leveraging a qualitative survey, the authors develop and test an assessment tool to measure value creation and capture within the entrepreneurial ecosystem of the San Francisco Bay Area.

The authors show that value-based measures on entrepreneurial ecosystems provide a systemic approach to assess how ecosystems operate, which can guide policymakers, entrepreneurs and all the other stakeholders of entrepreneurial ecosystems in their strategic decision-making process.

The authors provide an original model grounded in the strategic management and entrepreneurship literature for entrepreneurial ecosystems' assessment as few studies have done before. Besides, the authors provide an illustrative attempt to show how to empirically apply the original model by assessing the San Francisco Bay Area's entrepreneurial ecosystem.

Based on social influence theory (SIT) and social capital theory, this paper aims to explore the mediating role of entrepreneurial networks between technological entrepreneurs' political skills and entrepreneurial performance and whether market dynamics positively moderates this relationship.

This study collected data from 454 technological entrepreneurs in Beijing, Shanghai, Hangzhou, Guangzhou, Zhengzhou in China and examined four hypotheses by hierarchical regression analysis and bootstrapping analysis in an empirical design.

Results reveal that technological entrepreneurs' political skills not only have a direct positive impact on entrepreneurial performance (β = 0.544, t = 12.632, p < 0.001), but also have an indirect positive impact on entrepreneurial performance through entrepreneurial networks (β = 0.473, t = 10.636, p < 0.001). Entrepreneurial networks play a mediating role between entrepreneurs' political skills and entrepreneurial performance with 95% bias-corrected confidence intervals [0.034, 0.015]. Market dynamics plays a moderating role in the relationship among technological entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance (entrepreneurial performance: β = 0.190, t = 4.275, p < 0.001; entrepreneurial networks: β = 0.135, t = 4.455, p < 0.001). When market dynamics is high, technological entrepreneurs' political skills have a significant positive effect on entrepreneurial networks (simple slope = 0.309, t = 7.656, p < 0.001); but when market dynamics is low, there is no significant correlation between political skills and entrepreneurial networks (simple slope = 0.039, t = 0.966, p > 0.05).

The study relies on self-reported data from single informants. Although the severity of common method bias is tested through two methods, future research designs should avoid the influence of common method bias. Future research should adopt a vertical tracking design, collect data from multiple sources and use subjective assessment and objective indicators to measure variables. In addition, the applicability of the results outside China is worth further empirical exploration. Therefore, the authors hope that future studies can replicate the research to different countries, different cultural backgrounds and different organizational sections to explore the generalizability of the results.

The findings provide useful suggestions for entrepreneurs, who can use political skills to build a strong entrepreneurial network to improve their entrepreneurial performance. The results also suggest that entrepreneurs should pay more attention to cultivating and developing their political skills through methods such as training and practice. In addition, the conclusion is of great implications to enrich the content of entrepreneurship education and guide entrepreneurship practice.

These findings enrich SIT and social capital theory by providing the empirical evidence of the effect of entrepreneurs' political skills on entrepreneurial performance through entrepreneurial network. They also provide deeper insights into market dynamics research by uncovering the moderating role of market dynamics in the relationship between entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance.

This study aims to explore how entrepreneurial firms' networking logics may change under different types of perceived uncertainty. The arrival of new knowledge from the entrepreneurial firm's network may alter the perceived technology and market uncertainty that in turn determines how the firm adopts or combines the two opposing logics of causation and effectuation. Focusing on the roles of external advisors recruited by the firms, the study probes the details of the cyclical process and the mechanism through which networking logics are altered.

In this study the authors conducted a 3-year longitudinal multiple case study of 12 United Kingdom (UK) high-tech start-ups from prefounding to A-round funding with 54 semistructured interviews and meeting observations.

The knowledge of external advisors with distinct experience often reshapes the entrepreneurial firm's perceptions of uncertainty, leading to logics change in network development. The authors identify two types of knowledge brought by external advisors and discover how these can influence three networking logic pathways under different levels of technology and market uncertainty.

The study is one of the first to map the paths of changing logics along with different types of uncertainty in the context of entrepreneurial network development. The study unpacks one of the key mechanisms of networking logic changes: the knowledge and expertise of those advisors recruited by the entrepreneurial firms. The process model of changing logics contributes to the effectuation literature and entrepreneurial network research.

The purpose of this paper is to examine the mediating role of ecologies of innovation in the relationship between positive deviance (PD) and entrepreneurial networking among small and medium enterprises (SMEs) in Uganda.

A cross-sectional survey design using quantitative approach was employed in this study. Data were collected with the help of self-administrated questionnaires from 228 SMEs. Systematic sampling technique was used. Multiple regression data were analysed with the help of SPSS software.

The results indicated that ecologies of innovation partially mediate the relationship between PD and entrepreneurial networking. Besides, PD and entrepreneurial networking are significantly related.

The data were cross-sectional in nature, thus limiting monitoring changes in resources accessed from social networks by entrepreneurs over time.

Managers of SMEs and policy makers should pay more attention to the views of employees with divergent views, ecologies of innovation in creating a conducive environment for creativity and innovation among SMEs.

The study of PD, ecologies of innovation and entrepreneurial networking using complexity theory among SMEs in Uganda is a contribution to literature.

The purpose of the paper is to provide insight into how students navigate entrepreneurial ecosystems and make use of social networks as they create their own ventures. Such ecosystems for students are an understudied phenomenon and there is a need for more profound insights into the issue in order to build better support systems for student entrepreneurs. The study aims to increase understanding on the elements that are important in students' entrepreneurial ecosystems and how these impact on students' venture creation processes, with emphasize on the role social networks play. Student entrepreneurs account for a substantial number of the startups that come into being at universities. Understanding more about how the surroundings affects this process is important for facilitating student entrepreneurship in higher education.

The study is qualitative and makes use of in-depth interviews with student entrepreneurs, educators and support actors in the ecosystems. Multiple actors were interviewed in order to capture different perspectives on the matter, with a total of 15 interviews conducted.

Two main findings arose from the study. First, it provides insight into elements that are perceived as important for student venture creation by the student entrepreneurs themselves, by educators and by support actors in the ecosystems. Second, it describes how the elements make up the entrepreneurial ecosystems surrounding the students, which serve as platforms from which students can develop their social networks. Therefore, the study highlights how such ecosystems can serve as sources from which students can gain access to ideas, resources and identity processes.

A limitation of the study is that the interviews took place in one country. Consequently, further investigation is necessary to establish whether the findings are valid in other contexts. The research has implications for higher educational institutions, policymakers and researchers concerned with student entrepreneurship and student venture creation.

The study contributes empirical findings on a topic that is currently not well understood and on which there are few empirical studies. While student ventures represent a substantial proportion of university spin-offs, the topic has received little attention compared to research on academic entrepreneurship. The study represents a step towards enhancing understanding of students' entrepreneurial ecosystems and how students gain access to resources through social network ties within these systems.