Search results

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.

Failure plays a pivotal role in entrepreneurial learning. Knowledge of the learning process that enables an entrepreneur to re-emerge stronger after a failure, though considerable, is fragmented. This paper systematically collects relevant literature, assigns it to the stages of the experiential learning process (concrete experience, reflective observation, abstract conceptualization, active experimentation; Kolb, 1984), evaluates the research coverage of each stage and identifies promising avenues for future research.

This systematic literature review follows the guidelines articulated by Short (2009) and Tranfield et al. (2003), using Web of Science and EBSCO as primary data sources. Kolb’s (1984) experiential learning theory provides a basis for organizing the identified material into a framework of entrepreneurial learning from failure.

The literature provides insights on all stages of the process of entrepreneurial learning from failure. Particularly well elaborated are the nature of failure and its triggering effect for reflection, the factors influencing reflection, the contents of the resulting learning and their application in entrepreneurial re-emergence. Other topics remain under-researched, including alternative modes of recovery, the impact of personal attributes upon reflection, the cognitive processes underlying reflection, the transformation of failure-based observations into logically sound concepts and the application of this learning in non-entrepreneurial contexts.

This review provides the most complete overview of research into the process of entrepreneurial learning from failure. The systematic, theory-based mapping of this literature takes stock of current knowledge and proposes areas for future research.

A major source of failure for new ventures is the entrepreneurs℉ misunderstanding of the product-market fit. Recently, researchers have suggested that to get a better understanding of the product-market fit, entrepreneurs should “get out of the building” and interview many customers. This approach, while advantageous, is not without drawbacks. This article presents a conceptual model that incorporates the characteristics of “getting out of the building” to conduct customer interviews, and the biases that can arise to influence the entrepreneurs℉ misjudgment of the product-market fit. We provide recommendations to overcome these biases.

Humane entrepreneurship (HumEnt) has been theoretically proposed as a new model of entrepreneurship supporting the idea of an enlarged entrepreneurial strategic posture. The aim of paper is to frame humane entrepreneurial orientation’s (HEO) characteristics by showing how firms apply the HumEnt approach, and to offer suggestions to build an HEO measurement scale.

The study adopts a case study approach, focusing on five Italian small and medium enterprises (SMEs).

The study (1) identifies which are the characteristics of HEO strategic posture in the enterprises under examination; (2) shows that entrepreneurs' personal values and credos are fundamental to having an HEO strategic posture adopted; (3) provides indications on the development of a measurement scale through a discussion of emerging HEO themes.

The value of the study is that emerging themes of HEO strategic posture was derived from the analysis of five Italian SMEs. Entrepreneur's personal values have been proven to be relevant in the implementation of HEO. Based on the emerging HEO themes, the study contributes to the literature opening the way toward the building of an all-encompassing HEO measurement scale.

The purpose of this study is to empirically analyze the impact of logistics efficiency on trade volume growth, and to examine the effects of lower tariffs resulting from free trade agreements. In order to measure the impact of logistics efficiency on trade volume growth, the export and import trade volume among 53 countries was introduced as the dependent variable. Macroeconomic indicators including annual average tariff rate, logistics efficiency indicators for port, air, railroad, road and container vessel connectivity, as well as dummy variables such as whether a free trade agreement was signed, were introduced as the explanatory variables. Bilateral panel data between trading nations was used to estimate the gravity panel model, and analysis followed the categorization: 1) separate inputs of the five logistics efficiency variables and 2) one aggregated input of the five variables as a single indicator. The analysis found that logistics efficiency had a statistically significant impact on bilateral trade volume growth, while the impact of lowering tariff rates on increasing trade was insignificant. In addition, logistics efficiency was found to have a greater impact on increasing trade volume than free trade agreements. These results imply that trade can be promoted more effectively by establishing and efficiently operating logistics-related infrastructure rather than traditional methods of reducing trade barriers such as lowering tariffs and signing free trade agreements.

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.

The purpose of this study is to build a proposal for an integrated analysis / evaluation / decision / implementation framework to suit entrepreneurial companies intending to redefine their strategic behaviours and their competitive schemes in the global environment.

A conceptual approach, based on theoretical perspectives relating to globalisation-based management and decision-making of entrepreneurs, is adopted.

The paper presents a conceptual framework useful for supporting entrepreneurial decisions for global strategies, drawing on an integrated analysis of external environment and internal components, with a specific focus on the entrepreneur's characteristics in terms of cognitive and emotional profiles. It is suggested to adopt a logical process aimed at identifying which strategic levers are available for entrepreneurial players to implement their strategies.

Entrepreneurial decision-making may benefit from an integrated framework which helps entrepreneurs, who aim to compete in the global marketplace, to explore and exploit all the key factors useful to defining their strategies.

There is a lack of decision-making frameworks that put the entrepreneur at the centre and, at the same time, present a potential balance between the external factors (globalisation drivers and local opportunities) and the resources and competences required to manage risks and difficulties of the global environment (internal factors). The originality of the proposed framework consists in filling this gap. Moreover, this framework can be useful for “re-born global” or “global-again” firms that are currently a neglected typology of studied firms.

The relationship between entrepreneurial orientation (EO) and performance is often moderated by different factors. Specifically, scholars have called for research examining whether commitment to long-term objectives improves EOʼs effectiveness, believing that commitment may help firms overcome obstacles associated with EO. In response, we collected survey data from executives in 126 small, high-technology firms, and found that EO and commitment to objectives enhanced sales growth. In addition, the study determined that commitment to objectives was associated with greater increased sales growth of companies high in EO, as compared to those low in EO.