How do affect and cognition interact in managerial decision making? Over the last decades, scholars have investigated how managers make decisions. However, what remains largely unknown is the interplay of affective states and cognition during the decision-making process. We offer a systematization of the contributions produced on the role of affect and cognition in managerial decision making by considering the recent cross-fertilization of management studies with the neuroscience domain. We implement a Systematic Literature Review of 23 selected contributions dealing with the role of affect and cognition in managerial decisions that adopted neuroscience techniques/points of view. Collected papers have been analyzed by considering the so-called reflexive (X-) and reflective (C-) systems in social cognitive neuroscience and the type of decisions investigated in the literature. Results obtained help to support an emerging “unified” mind processing theory for which the two systems of our mind are not in conflict and for which affective states have a driving role toward cognition. A research agenda for future studies is provided to scholars who are interested in advancing the investigation of affect and cognition in managerial decision making, also through neuroscience techniques – with the consideration that these works should be at the service of the behavioral strategy field.

Purpose: This paper claims to identify the behavioral and cultural features that push to use, or not, cryptocurrencies for electronic commerce. Indeed, despite the use of cryptocurrencies for electronic commerce spreading worldwide at a fast and growing pace, there are supporters and detractors among their users. The analysis of what distinguish these two groups of users is fundamental for understanding their different intention to use cryptocurrencies for electronic commerce. Design/methodology/approach: A survey has been administered to 2,532 cryptocurrencies’ users across the USA and China, collecting data on their behavioral predispositions and cultural features. Results were then analyzed through structured equation modeling. Findings: Results showed that while attitude, subjective norms, perceived behavioral control and herding behavior have a positive impact on the intention to use cryptocurrencies for electronic commerce, financial literacy has no influence. Cultural dimensions amplified or reduced the discovered relationships and caused different effects: positive for the USA and negative for China when considering illegal attitude and perceived risk. Originality/value: Theory of planned behavior, financial behavior and cultural factors can, all together, represent a useful framework for envisioning the behavior of users in adopting cryptocurrencies for electronic commerce purposes through a test of all its elements. To the best of the authors’ knowledge, this is the first study considering behavior and cultural variables on the intention to use cryptocurrencies for electronic commerce as well as being the largest carried out, in terms of sample, on the cryptocurrency topic.

Among investors of cryptocurrencies there are supporters and detractors; this claims for the identification of the behavioral and socio-demographic factors that push to invest (or not) in cryptocurrencies. A survey has been administered to 275 Italian investors. Together with socio-demographic features (gender, income, age, and education), behavioral factors derived from the theory of planned behavior (attitude, subjective norm, and perceived control behavior) and from the financial behavior literature (illegal attitude, herding behavior, perceived risk, perceived benefit, and financial literacy) have been collected and analyzed. While attitude, illegal attitude, subjective norms, perceived behavioral control, herding behavior, and perceived risk have a positive impact on investors' intentions. Socio-demographic factors and financial literacy have no influence on the intention to invest in cryptocurrencies. This is the first study that comprehensively investigates the influence of behavioral and socio-demographic factors on the intention of investors to invest in cryptocurrencies.

Purpose: This study aims to provide a systematic and comprehensive examination of the underlying factors enabling the emergence of unicorn firms. By addressing this research gap and offering an integrative framework, it seeks to support future research efforts in understanding this phenomenon and contribute to the academic debate around it.Design/methodology/approach: This study employs a systematic literature review (SLR) approach and thematic analysis of articles retrieved from Scopus and Web of Science databases.Findings: The study sheds light on internal characteristics, ranging from the entrepreneurial (human capital and knowledge) to firm-specific level (business model, corporate governance, resources) and external ones related to the funding factors (financial patterns, venture capitalists, firm evaluation) and the ecosystem (entrepreneurial and technology) around the phenomenon of unicorn firms.Originality/value: This is the first systematic literature review on unicorns that offers insights into the internal and external factors driving the emergence of such firms, contributes to shed light on the main criticalities that blur their understanding and presents a research agenda for developing this field of research.

The self-leadership construct has received great attention from scholars over the last 40 years due to its capacity to influence personal effectiveness. However, despite strongly influencing individuals’ self-efficacy, performed studies did not determine whether self-leadership is connected, and how, with the Core-Self Evaluation (CSE) trait—a complex personality disposition based on self-efficacy, self-esteem, locus of control, and emotional stability—that has been found impacting decision-making processes within organizations. Moreover, it has not been identified whether individuals with a high level of self-leadership are more prone to be victims of some cognitive biases in decision-making processes, such as the internal attribution of successes and external attribution of failures (i.e., Self-Serving Bias, SSB) that are usually led by the strong belief of individuals in their own capacities. The outlined gaps can be substantiated by the following two research questions: “How is self-leadership related with CSE?” and “How does self-leadership influence the attribution of successes/failures?”. To answer these questions, the following were identified and analyzed for 93 executives: (i) the tendency in the attribution of successes and failures, (ii) the CSE, and (iii) their self-leadership level. Results show that: (i) a high level of CSE is connected with high levels of self-leadership; (ii) high levels of self-leadership bring individuals to the internal attribution of successes and external attribution of failures. This work reinforces the stream of (the few) studies that considers a high level of CSE and self-leadership as not always being desirable for managerial decision-making processes and consequent performance. This paper aims to enrich the debate concerning the relations between, on the one hand, self-leadership and, on the other hand, personality traits between self-leadership and decision making.