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The purpose of this paper is to analyse the entrepreneurial intentions of international university students by applying the theory of planned behaviour (TPB). This paper presents a model that considers personal, social and environmental factors that potentially influence students’ intentions to become entrepreneurs.

An extension of the TPB was proposed, including two additional constructs: entrepreneurial skills and university education. The target population of the study was national and international university students enroled in different universities. A validated survey (n = 276) was used to collect the data. Structural equation modelling was used to test the hypotheses and the relationships between variables.

Students are more likely to acquire entrepreneurial skills through effective education and training. Entrepreneurial skills play a significant role in explaining entrepreneurial intentions because it is assumed that knowledge and training make people highly skilled. This raises people’s propensity to start a business.

This study makes a unique contribution to the literature by considering the role of entrepreneurial skills that are commonly acquired at university. The primary conclusions relate to the acquisition of entrepreneurial skills within the university environment. These conclusions are of interest to practitioners and policymakers.

The aim of this paper is to analyse the moderating effect of digital transformation (DT) on the relationship between innovation capacity and the performance of agrifood businesses.

Based on a structured questionnaire, data on 98 agrifood small and medium-sized enterprises operating in Spain were collected. The data were analysed using partial least squares structural equation modelling to test the proposed model and study the moderating effect of DT on the relationship between the innovation capacity and performance of agrifood businesses.

The study finds support for the hypotheses and shows the existence of a direct positive relationship between the DT and performance of agrifood businesses. Developing new practices focussed on customer service and performing actions such as improving sales, promoting a new product or service and including a post-sales service influence the capacity of a business to undertake DT.

Future studies should include other factors in the analysis. For example, the impact of knowledge transfer and research and development (R&D) on agrifood businesses' performance should be studied. Education and training, as well as having a diverse network, can help develop and boost businesses' capacity to use and apply the required innovation. Networks play an important role in learning how to apply DT.

This quantitative study is the first to examine the moderating effect of DT in the Spanish agrifood sector on the relationship between innovation capacity and performance. The study examines the role of the DT of companies and explores the competitiveness and efficiency tools that digitalisation offers. Innovation capacity is crucial for the application of these tools.

This study aims to examine logistics infrastructure, trade differences, and environmental and social equity factors, for a set of 89 countries.

Following recent work which uses secondary data sources for supply chain research at the country‐level, data were obtained from the World Bank and International Monetary Fund databases. Data envelopment analysis (DEA) was used to compute country‐level efficiencies and ANOVA was used to do regional comparisons.

The analysis shed light on country‐level dimensions of logistics infrastructure and trade performance. It also provided insights regarding environmental (e.g. CO2 emissions) and social equity (e.g. health expenditure) dimensions for different regions.

Panel data rather than longitudinal data were used to draw the conclusions. A more exhaustive study could consider a multi‐year timeframe. A limited number of dimensions were examined. As the study was exploratory, further work could consider a more extensive number of dimensions.

The study has important implications for policy makers, since the attractiveness of various resource endowments like those considered here (environmental, social, supply chain logistics) can be seen to be associated with trade performance.

This is one of the few studies to explore efficiency differences (enacted through DEA and ANOVA analyses), differentiating the research from the usual country clustering approaches. It also contributes to the understanding of differences between countries from a macro perspective, which provides insights for firms intending to expand their supply chains.

The purpose of this paper is to investigate the role of cross-listing in overcoming liability of origin (LOO) facing emerging economy corporations (EECs).

This paper takes Chinese firms' cross-listing in Hong Kong and the firms' establishment of international joint ventures (IJVs) with foreign partners as the research setting. This is an empirical study using Heckman's self-selection model as the primary econometric technique and two-stage least square (2SLS) regressions as the supplementary estimation procedure.

Cross-listing in developed economies can serve as a signal for EECs to overcome the LOO. In addition, the regional institutional voids of emerging economies (EEs) and state ownership are prominent boundary conditions shaping this effect.

Only Chinese firms and the firms' cross-listing in Hong Kong are considered for the empirical context as a result of data availability.

This paper provides a practical solution for EECs whose internationalisation tends to be hindered by the LOO.

This study is of high importance in that it centres on a distinctive and challenging problem faced with EECs—the LOO. Besides, it ascribes this liability to a matter of information asymmetries and explores how cross-listing can serve as a signal to cope with this challenge.

Women play an essential role in entrepreneurship because they have been able to make social and economic contributions in many countries. However, women continue encountering numerous difficulties when engaging in entrepreneurial activities, particularly from a societal perspective. Therefore, it is necessary to study the underlying factors influencing women's entrepreneurial intentions that lead to their success in entrepreneurship. This study examines gender stereotype perceptions, perceived social support and self-efficacy in women's entrepreneurial intentions in Batik micro, small and medium enterprises (MSMEs) in West Java, Indonesia.

This study used a quantitative method by randomly distributing questionnaires to women entrepreneurs in the MSME sector in the batik craft industry in the Trusmi area, West Java, Indonesia. The research questionnaire was completed by 150 female entrepreneurs, and a structural equation model-partial least squares (PLS) was employed to examine the hypotheses proposed in this study.

The findings of this study revealed that gender stereotype perception and perceived social support have a positive and significant effect on self-efficacy. Gender stereotype perceptions affect women's entrepreneurial intentions, both directly and mediated by self-efficacy. Meanwhile, perceived social support has a significant effect on women's entrepreneurial intention only when it is mediated by self-efficacy.

This study presents empirical evidence on how gender stereotype perception, perceived social support and self-efficacy affect women's entrepreneurial intentions and establishes a novel conceptual framework for women's entrepreneurship in emerging economies. This study provides academic and practical implications by identifying the entrepreneurial intentions of women who have carried out entrepreneurial activities. This study also provides direction for policymakers to encourage women's entrepreneurial intentions.

High-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.

This paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.

The findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.

This study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

After completion of the case study, the students will be able to understand the challenges faced by cocoa farmers in developing countries and their impact on the cocoa value chain, describe the need for a business to create a business model that offers social impact in small developing economies, explore innovative business models, such as vertical integration, for addressing transparency and fair compensation issues in agricultural supply chains, analyze the role that start-ups can play in disrupting the commodities supply chain and building a national competitive advantage and examine how a values-driven business can gain the trust of stakeholders and create a profitable ecosystem.

This case study describes the innovative business model of Inaru Corporation, a pioneering venture founded by two sisters, Janett Liriano and Erika, aimed at revolutionizing the cocoa industry in the Dominican Republic. This case study outlines the challenges faced by cocoa farmers in the country, including low productivity, exploitation by middlemen and lack of value addition. Inaru’s innovative business model aimed to disrupt the traditional supply chains by prioritizing fair compensation for farmers, investing in sustainable practices and vertically integrating cocoa production from farming to manufacturing. Through direct relationships with producers, profit-sharing agreements, and a commitment to ethical business practices, Inaru sought to empower cocoa farmers and cultivate a more equitable and sustainable cocoa industry. Inaru was a model for ethical and caring business practices where it shared the profits with its farmers. By operating a profit-sharing model and sharing its fortune with other women, Inaru was helping create gender equity in the cocoa sector. Inaru planned to scale its business model to other cocoa-producing countries and even transfer its business model strategy to other commodities beginning with the coffee segment in Dominican Republic. By exploring Inaru’s case study, students gain a deep understanding of how businesses can drive positive change, create value for stakeholders and contribute to sustainable development goals.

This case was written for use in teaching graduate and postgraduate management courses in entrepreneurship and economics, politics and business environment.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This research is in response to the growing need for economic diversification in the Gulf Cooperation Council (GCC) countries as they seek to manage the impacts of volatile oil revenues. To this end, governments in the region are encouraging their citizens to undertake entrepreneurial activities. The purpose of this study is to examine the effects of entrepreneurial education (EE), trait competitiveness (TC) and psychological capital (PC) on the entrepreneurial behavior (EB) of university students.

As a quantitative study, primary data were collected through a survey administered to the team of young university students in Oman. Using stratified sampling techniques, 858 questionnaires were retrieved and used for the analysis out of the 1,176 sample. The analysis of the data was done using structural equation modeling.

The results have established a positive influence of EE, TC and PC on the EB of university students in the GCC region. This study also found that PC acts as a bridge between EE, TC and EB.

This paper provides further literature evidence on the contribution of other variables like TC and PC to EB, particularly in the GCC context, by providing a model of the influence mechanism on EB. This research reveals a very unique influence of PC on the relationship between TC and EB. The findings confirm that there is no direct relationship between TC and EB. However, the relationship was established with the introduction of PC.