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Social enterprises (SEs) face tensions when combining financial and social missions, and this is particularly evident in the scaling process. Although extant research mainly focuses on SEs that integrate their social and financial missions, this study aims to unpack social impact scaling strategies in differentiated hybrid organizations (DHOs) through the case of African SEs.

The study entails an inductive multiple case study approach based on four case SEs: work integration social enterprises (WISEs) and fair trade producer social enterprises (FTPSEs) in Uganda and Kenya. A total of 24 semi-structured interviews were collected together with multiple secondary data sources and then coded and analyzed through the rigorous Gioia et al. (2013) methodology to build a theoretical model.

The results indicate that SEs, as differentiated hybrids, implement four types of social impact scaling strategies toward beneficiaries and benefits (penetration, bundling, spreading and diversification) and unveil different dual mission tensions generated by each scaling strategy. The study also shows mutually reinforcing mechanisms named cross-bracing actions, which are paradoxical actions connected to one another for navigating tensions and ensuring dual mission during scaling.

This study provides evidence of four strategies for scaling social impact, with associated challenges and response mechanisms based on the cross-bracing effect between social and financial missions. Thus, the research provides a clear framework (social impact scaling matrix) for investigating differentiation in hybridity at scaling and provides new directions on how SEs scale their impact, with implications for social entrepreneurship and dual mission management literature.

The model offers a practical tool for decision-makers in SEs, such as managers and social entrepreneurs, providing insights into what scaling pathways to implement (one or multiples) and, more importantly, the implications and possible solutions. Response mechanisms are also useful for tackling specific tensions, thereby contributing to addressing the challenges of vulnerable, marginalized and low-income individuals. The study also offers implications for policymakers, governments and other ecosystem actors such as nongovernmental organizations (NGOs) and social investors.

Despite the growing body of literature on scaling social impact, only a few studies have focused on differentiated hybrids, and no evidence has been provided on how they scale only the social impact (without considering commercial scaling). This study brings a new perspective to paradox theory and hybridity, showing paradoxes come into view at scaling, and documenting how from a differentiation approach to hybridity, DHOs also implemented cross-bracing actions, which are reinforcement mechanisms, thus suggesting connections and synergies among the actions in social and financial mission, where such knowledge is required to better comprehend how SEs can achieve a virtuous cycle of profits and reinvestments in social impact.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

Decision-making is of utmost importance for entrepreneurs. One of the most important entrepreneurial decisions is the decision to persist, which under certain circumstances such as a high level of adversity may seal the fate of entrepreneurs’ businesses. Nevertheless, the main antecedents of the decision to persist among entrepreneurs have remained understudied. This dearth of research is more obvious with respect to women entrepreneurs, especially in developing countries. To address this gap, this paper aims to explore the main antecedents of the decision to persist among women entrepreneurs.

By adopting a narrative approach, data were collected through a combination of semi-structured and in-depth questions with a sample of Iranian women entrepreneurs founding and running small businesses offering services in a variety of sectors and analysed by narrative data analysis.

According to the findings, the pandemic-emanated uncertainty, personal attachment to one’s venture as well as the reluctance of being blamed by one’s family, and the fear of the unknown future were the main drivers of the decision to persist among the entrepreneurs.

This paper offers two novel contributions to the extant literature. This paper is a pioneer not only in exploring entrepreneurs’ decisions during the COVID-19 pandemic but also in studying the decision to persist in the context of the developing nations.

This study explores family firms' ex ante conflict management strategies to preserve their socioemotional wealth (SEW) under predictable conflict through the succession process. Specifically, the authors examine how family firms leverage the insurance-like benefits of corporate social responsibility (CSR) to mitigate the threat of foreseeable family feuds among the sons of firms' family heads.

The authors focus on the charitable donations pledged by Korean family business groups (chaebols). Using the data of 62 chaebols with generalized least squares (GLS) models, the authors analyze 711 observations from 2005 to 2017.

The authors find a positive relationship between the number of sons of a family firm's head and the firm's CSR activities such as spending on charitable donations. Furthermore, the number of daughters of heads in executive positions strengthens such a positive relationship, whereas the number of business and political marriage ties weakens this relationship.

Family heads of family businesses may leverage CSR activities and marriage ties to elite families interchangeably to ward off negative impacts from foreseeable family feuds and preserve their SEW. Thus, a policy-based incentive for CSR that encourages more family heads to use CSR as insurance would serve the public interest.

The authors contribute to the family business literature by suggesting that CSR activities can be used by family firms as an instrument to mitigate foreseeable damage to the SEW caused by family feuds. The authors also shed new light on CSR research by finding that marriage ties to elite families may reduce the strategic value of CSR activities.

This study aims to examine the dimensions of technological innovation capability (TIC) and associated factors from the perspectives of sustainability.

The authors have systematically reviewed publications by synthesizing and comparing the findings and arguments from previous studies.

The study locates a wide-ranging advance of sustainable TIC as a construct by demonstrating the leading dimensions and key factors interrelated to the sustainable TIC. The foremost IC that has been addressed includes process, product, marketing, R&D and knowledge ICs.

Future research should test the extent of the contribution of TIC in intensifying the determining factors toward enhancing performance and sustainability. Besides, the undermined external aspects such as social responsibility and the natural environment should be addressed by future researchers to develop a comprehensive sustainable TIC.

This study reviews the various researches in the subject matter of sustainable TIC to show the developments as well as to provide comprehensive understandings in the subject.

This paper reports the results of research that examines the interrelationships between efficacy of sustainability values (SV) and pro-sustainable behaviors of potential tourists. A partially mediated model is postulated and tested to help explain additional error variance in predicting consumers’ destination choice decisions in tourism, hence voiding a critical research gap. Coined as the “environmentally intellectualist behavior,” a new mediator variable is tested to explain additional error variance in human-value models.

The study is based on data collected from two representative samples of potential tourists from the USA and Canada. Data analyses include exploratory and confirmatory factor analyses that were used to examine the underlying domain structures of SV, followed by a predictive model using structural equation modeling.

The study findings suggest that values are salient factors that underlie pro-sustainable tourism and travel behavior. Moreover, the results confirm the existence of a higher-order sustainability construct. The study contributes original insights to the field by demonstrating that there are direct and indirect positive relationships between SV, environmental behaviors and decisions of consumers who take a pro-sustainable stance when traveling.

By modeling values as antecedents to attitudes and testing interrelationships between SV and the mediator variables coined as the environmentally intellectual behavior, the authors developed and tested a predictive model to explain destination- and product choice decisions. The model tested herein advances the value theory in two fundamental ways: first, this study demonstrates that SV can be modeled as higher-order factors. Second, values are antecedents to attitude and other variables, therefore must be included in consumer behavior models. Finally, the culture or origin of tourists matters when examining the impact of values on tourists’ choice decisions. Political actions and environmental attitudes can be modeled as mediators to explain additional error variance.

Entrepreneurial education is gaining traction in Ghana. The purpose of this chapter was to assess the influences of social enterprises in promoting entrepreneurial education, using Ghanaian social enterprises as a case study. The study adopted a qualitative research approach. A multiple case study analysis examined the influences of social enterprises in Ghana. Four in-depth qualitative case studies offer insight into social enterprise practices. Sustainability, innovation, control and employment issues stand out as key effects of Ghanaian social enterprise practices. The social practice theory framework is used to draw the linkages of the structure and agency relationships. Sustainability emerges as the most dominant impact of social enterprise practice followed by innovation, control and employment. These four descriptive terms summarise the universal effects of Ghanaian social enterprises' practices. The study identifies and assesses the role of social enterprises in social entrepreneurial education in addressing social ills and environmental challenges facing Ghana. The emphasis placed on each of the identified four constructs describes the plausible roles of Ghana's social enterprises in achieving productive entrepreneurship through entrepreneurship education. The result shows the pursuit of multiple practices is a common feature of social enterprises. The limitations of the study stem from methodological approach as it is qualitative approach bias and a single country case. Likewise, the subjectivities of the samples direct the results of the study. The study draws the attention of stakeholders and policymakers to the goodwill of social entrepreneurship education in Ghana. Many studies have been conducted on entrepreneurial education in the contextual setting of this study. This present study focused on the practices of social enterprises in Ghana that influences entrepreneurial education.

The purpose of this study is to address why managers enter the excessive market. A comparison of the facts and perceptions of entrants relative to success in the market shows that many entrants are confident about the viability of their businesses and enter the market. Accordingly, the authors simulate market entry decisions to detect behavioral biases.

The authors adapted the entry decisions simulation method, which is supported by the theoretical foundations of signal detection theory (SDT) and signaling theory. The simulation model is implemented on the Anaconda platform and written in Python 3.

The results of this study suggest that overestimation relates to excess market entry. Also, the proportion of excess entry under difficult conditions is always higher than under easy conditions.

This research helps managers and firms think about their and their competitors' abilities and evaluate them before entering the market. Policymakers and practitioners can also design programs such as experiential learning to help entrants assess their skills.

So far, no research has investigated the role of overconfidence under different market conditions. Accordingly, this study contributes to the current market entry literature by disentangling the debate between absolute and relative confidence and by considering the role of task difficulty.

This chapter sets forth how and why diary data analysis can help significantly advance inquiry into the intersubjective aspects of entrepreneurial opportunities. We start the chapter with a presentation of the sensemaking perspective for the study of intersubjectivity in entrepreneurship. Next, we address epistemological limitations of retrospective data collection methods and examine the relevance of real-time, prospective data, specifically diary data, for the study of intersubjective phenomena associated with entrepreneurial activity. Furthermore, we describe our experiences with application of this method to the study of entrepreneurial cognitive development in the context of longitudinal, diary data-based research on this topic. We also address limitations of the diary data collection method and propose future research avenues for studies on intersubjective dimensions of entrepreneurial agency, before concluding this chapter.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.