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The purpose of this paper is to examine the impact of emotion management ability of leaders on employee job performance by highlighting the mediating role of employee perception of job characteristics.

Hypotheses were developed and tested using multi-source data collected from 65 dyads of heads of department and their subordinates.

Results show that leaders’ emotion management ability relates positively to employee job performance, and that this relationship is mediated by employees’ perception of job characteristics.

Cross-sectional data were used to test the hypotheses. Generalizability of the findings is limited as the sample is taken from only one industry in India.

The findings contribute to HRM and leadership literature. The study has implications for jobs that require a high degree of interpersonal interaction with subordinates. Unique value also lies in the context of the study as this study is one of the first to explore the phenomenon in India.

The purpose of this paper is to examine the relationships between empowering leadership style and two types of open innovation: inbound and outbound. The intervening mechanism of employee involvement climate in these relationships is also investigated.

The paper uses data collected using a questionnaire survey from middle and top managers working in various firms in northern India.

Results reveal that empowering leadership positively affects both types of open innovation. Thus empowering leadership supports followers to seek, integrate and diffuse new ideas and knowledge to improve open innovation outcomes. Further, the mediating role of employee involvement climate is established for empowering leadership-inbound open innovation link. This suggests that an empowering leadership style creates an employee involvement climate that empowers employees and involves them in relevant decision-making which consequently enhances a firms inbound open innovation performance.

This study used a cross-sectional research design and a relatively small sample size. These limitations can affect generalizability of the findings.

The paper contributes to leadership and open innovation literatures and provides insights into how the practitioners can use an appropriate leadership style to maximize success in the open innovation paradigm. The study is one of the first to empirically shed light on this strand of open innovation research.

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a topic that has always fascinated scholars and attracted the attention of public policy makers. This study, from the perspective of the theory of planned behaviour (TPB), aims to contribute to the analysis of entrepreneurial intention (EI) in university students. Factors such as entrepreneurship education (EE), mediation of personal attitude (PA), perceived behavioural control (PBC), EI, regulatory support (RS) and opportunity recognition (OR) for university students.

Research data was collected using a questionnaire, and a cross-sectional sample was selected from senior business and engineering students who are most likely to participate in entrepreneurial activities. The survey was conducted in the Delhi NCR region. 240 students were interviewed. Partial least square structural equation modelling using SmartPLS-4 was used to test the explanatory and predictive power of the proposed model.

The results of this study offer interesting contributions to the academic debate. First, EE has a significant impact on PA, PBC and entrepreneurial intentionality. Second, PBC, recognition of opportunities and EI have a significant impact on entrepreneurial education. Finally, PA and PBC significantly mediate the “entrepreneurial education – entrepreneurial intention” relationship.

Interesting elements of originality are offered by this study. First, entrepreneurship is studied as a decision-making process influenced by intentions and not behaviours. Second, the authors limited the efforts to unraveling the effect of the five variables on the formation of EI. Finally, the large size of the sample allows the authors to obtain significant results, directing future studies to other territorial contexts. Additionally, incorporating some control variables, such as gender and family background, would explore the relationship between the model variables more meaningfully.