Although many studies have shown that entrepreneurial intention can be explained according to a theory of planned behavior, some scholars have provided interesting insights into the role of job self-identity perception—in particularly the ones related to entrepreneurship—as significant precursor of entrepreneurial intention. A questionnaire has been administered to graduates and students of an Italian university (N = 153). A hierarchical regression analysis controlling for demographic variables has been performed in order to test the research hypotheses. The findings of this study have been discussed, with particular attention paid to the unexpected, weak, or non-significant effects of perceived behavioral control and social norms on entrepreneurial intention.

Although entrepreneurship is considered one of the most powerful drivers of national economies around the world, there is little consensus about what informal factors foster entrepreneurial intention. In accordance with recent literature, entrepreneurial self-identity perception, the perception of corruption in the entrepreneurship ecosystem, and perceived exogenous and endogenous obstacles to entrepreneurship were hypothesized as antecedents of college students’ and graduates’ entrepreneurial intention. A study with a sample (N = 153) composed of college students and graduates from an Italian university was conducted. A hierarchical multiple regression analysis was performed to test the research hypotheses. The hypotheses that entrepreneurial self-identity perception and corruption perception of the entrepreneurial ecosystem are positive antecedents of entrepreneurial intention were confirmed. Corruption was considered as a viable and socially acceptable strategy that entrepreneurs might adopt in order to easily overcome governmental norms and rules about managing firms. It was hypothesized that the perception of corruption of the entrepreneurial ecosystem might be a positive antecedent of entrepreneurial intention if the subjects perceived the corruption as pervasive of the economic ecosystem and the effort made by national government to control corruption as ineffective. From this point of view, the positive causal relationship between perceived corruption and entrepreneurial intention could reveal college students and graduates’ propensity to perceive corruption as a phenomenon capable of generating a “grease the wheel” effect.

Although researchers have identified corruption as a factor capable of affecting the entrepreneurial ecosystem at the national level of analysis, scholars have reported conflicting results regarding the exact nature of the relationship between corruption and entrepreneurial intentions. This paper formulates some propositions about the complex relationship between corruption and entrepreneurship at different levels of analysis and it suggests and explores the socio-cultural consequences of such domains’ interactions. Finally, the slippery-slope effect will be discussed as an intra-individual psychological mechanism that could explain why even morally-engaged people might replicate corrupt behaviors. The limitations of this work, and its implications for future researchers and for government policies will be analyzed.

Schoolteachers could enhance learning in social science courses by using teaching tools that favour a methodological approach focused on the topics’ basic structure rather than on facts. An innovative system dynamics social-based ILE built with a social constructivist approach is presented here. The pedagogical futures of this ILE are then analysed. The effective impact of different instructional approaches inspired by social-based ILEs on student learning outcomes is also discussed. The ILE and the related inquiry-based instructional approach seem to help students understand fundamental concepts more easily, thus making the topic more comprehensible and helping students place the social facts into a structured scheme

During the outbreak of COVID-19 in Italy, people often failed to adopt behaviors that could have stopped, or at least slowed down, the spread of this deadly disease. We offer cognitive explanations for these decisions, based on some of the most common heuristics and biases that are known to influence human judgment and decision-making, especially under conditions of high uncertainty. Our analysis concludes with the following recommendations: policymakers can and should take advantage of this established science, in order to communicate more effectively and increase the likelihood that people choose responsible actions in a public health crisis.