Start-ups play a fundamental role in the economy and have contributed enormously and effectively to solving economic and social issues. However, despite the significant environmental hazards the world is experiencing, the environmental dimension of its contribution is still significantly low, and the transition to green start-ups is still in its infancy especially in developing countries. The aim of the paper is to identify the factors that influence students’ intentions to create green start-ups. Based on a convenience sample of 248 university students, a multiple regression analysis was performed to test our extended model. The empirical findings show that attitudes, subjective norms, perceived behavioural control (PBC), and environmental awareness positively influence the intention to create green start-ups. In addition, the findings demonstrate that students have a low level of environmental awareness. Based on the results, suggestions are provided on how to motivate university graduates to create green start-ups.

PurposeThe purpose of the present paper is to investigate Algerian medical students' intention to participate in volunteer work during the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachThe authors adopted an extended theory of planned behavior (TPB) framework by integrating the constructs of personal moral norms and perceived risk of COVID-19 and followed a self-administered questionnaire survey to collect data among a convenience sample of medical students (n = 267) in five Algerian universities. The data obtained were analyzed through a hierarchical multiple regression process in which three models were considered.FindingsFindings of this study show that attitude toward volunteering, perceived behavior control (PBC), personal moral norm and subjective norm significantly and positively predicted medical students' intention to engage in volunteer work during the COVID-19 pandemic. However, students' perceived risk of COVID-19 significantly and negatively predicted students' intention to participate in volunteer activities. Moreover, the authors' analyses showed that the extended TPB model explained 75.1% of the variance of intention.Practical implicationsThe findings of this study have implications for understanding medical students' volunteer behavior during health crises. Some implications are provided for the crisis and emergency managers of hospitals and policymakers to attract and recruit enough medical students' volunteers for future waves of COVID-19 or other similar health crises.Originality/valueThis is the first paper from Algeria and one of the few from Africa that identifies predictors of intentions to participate in volunteer activities among medical students.

Digital literature has provided significant insights into how digital transformation contributes to improving business performance. This research departs from these studies by focusing on driving factors of digital transformation and digital transformation strategies. Moreover, the authors determine the impact of digital transformation on firm performance and identify the challenges of adopting digital transformation. The results show that successful digital transformation can speed up the pace of innovation, increase productivity, improve customer experiences and satisfaction, reduce costs, and improve business performance. The results also revealed that major barriers to digital transformation include lack of knowledge, lack of digital expertise, poor digital leadership, resistance to change, inflexible culture, unclear vision and objective, lack of collaboration and alignment. These results will help to illuminate the complex issue of how to set an effective digital transformation.

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PurposeThe digitalization has changed the volunteer paradigm, making young volunteers use technology in their volunteering activities. The current study sets out to identify and model the antecedents that determine intention to engage in digital health volunteering among Algerian physicians to give insights promoting the development of digital volunteering in different countries of the world.Design/methodology/approachTo this end, the authors used a survey design to extend the technology acceptance model (TAM) with two construct (self-efficacy and perceived risk of COVID-19 infection). A convenience sample of 163 physicians; working in the private and public sectors in six provinces of Algeria was selected. The data were analyzed through a multiple linear regression.FindingsThe findings show that the perceived usefulness, ease of use, attitudes toward digital volunteering, level of self-efficacy and perceived risk of COVID-19 infection have a significant positive effect on physicians' intentions to engage in digital volunteering work in the context of health crises.Practical implicationsThis study reveals that engaging in digital volunteering can be promoted during health crises as an effective strategy to provide support and assist public health institutions and emergency management.Originality/valueTo the best of the authors' knowledge, this is the first study from Africa that explores digital volunteer work, and the first study that extends the TAM to investigate digital volunteer intention among physicians.