Search

This research attempts to measure the direct and moderated influence of entrepreneurial passion (EP), motivation (EM) and creativity (EC) on intention (EI) while being moderated by entrepreneurship education (EE). This study also instrumentalizes the conditional interaction effect of fear of failure on the moderated paths. A data sample of 1090 business students from five Indian universities was subjected to screening and cleaning before establishing the measurement model and testing the hypotheses using structural equation modelling and Process Macro. EP, EM and EC were found to affect EI directly, while EE also moderated these links. Fear of failure was also found to be conditioning the moderated paths such that the positive moderation effect of EE on direct paths between EP, EM, EC and EI was stronger when students perceived no fear of failure. The study advances the existing literature on the moderating role of entrepreneurship education by recognizing the conditional interaction effect (moderated-moderation) of fear of failure on the moderating effects of entrepreneurship education. The authors also provide valuable suggestions for practice.

Foremost objective of this manuscript is to empirically testify the direct and indirect influence of EM and IEO on EI through the mediation of EE while conditioning the indirect effect with the moderation of entrepreneurial inclination. The measurement model; model fitness, convergence and divergence were assessed through CFA, whereas hypotheses were tested using SEM and PROCESS Macro for SPSS. EM and IEO were found influencing EI directly and indirectly through EE. Conditional indirect effects of EM and IEO on EI were found most positive for entrepreneurially inclined students. The findings of the study provide valuable suggestive measures for implementation by universities while designing and conducting entrepreneurship training and education program.

The present manuscript cognizes and empirically testifies the role of entrepreneurial education and opportunity recognition in determine entrepreneurial intention through the mediating role of entrepreneurial self-efficacy. The moderating role of entrepreneurial attitude has also been tested on the relationship between entrepreneurial education, opportunity recognition, and entrepreneurial intention. Data were collected from 663 students of three different universities in India using the convenience sampling technique. The results from the analysis revealed that entrepreneurial education, opportunity recognition not only influence entrepreneurial intention directly but also influence indirectly through the mediating effect of self-efficacy. Furthermore, results also unearthed that entrepreneurial attitude moderates the relationship between opportunity recognition, entrepreneurial education, and entrepreneurial intention.

THE present study is an attempt to study the female entrepreneurs' attitude towards entrepreneurship and measure the impact of entrepreneurial orientation and desirability on the intention of entrepreneurial students. Design/Methodology/Approach: To test the research framework and hypotheses, female university students in Oman who have undergone with entrepreneurship subject in their syllabus have been considered as the respondents of the study. Data have been collected through structured questionnaire based on five points Likert scale ranging from 1 as (strongly disagree) to 5 as (strongly agree). To ensure the selection of appropriate participants and their intention level, data were collected in Oman and participants were recruited online via Google Docs as per the convenience sampling method to collect primary data. Survey through Google Docs was conducted in period of April 2019 to May 2019, through which 300 questionnaires were sent and 269 sets were returned, out of which 225 responses were found as useful for data analysis. Findings: Entrepreneurship education plays a significant role for the female students having an inclination to entrepreneurship as their career goal. The study also found that personal attitude and innovativeness come from the entrepreneurial education. Unfortunately, the study found no influence of risk-taking propensity towards intention. This shows that the entrepreneurs are not willing to take risk or are unable to face the loss or worst circumstances if any, from the entrepreneurship ventures they perform. Research Limitations: The study has several limitations. For instance, it engaged theory of planned behavior to develop the entrepreneurship model. Future there is a need to expand the model by integrating it with other entrepreneurship models. Furthermore, the sample was selected from private universities and colleges in Oman. Managerial Implications: Practically, it shed light on the willingness of the students and their intention to be an entrepreneur. The study, thus, suggests polishing the students' entrepreneurship skills, knowledge and competencies to increase their entrepreneurship intention. Originality/Value: The study highlighted the importance of Theory of Planned Behavior supported by the entrepreneurship orientation model at an individual level. [ABSTRACT FROM AUTHOR]

This paper investigates the nexus between CO2 emissions (CO2E), GDP, energy use (ENU), and population growth (PG) in India from 1980–2018 by comparing the "vector error correction" model (VECM) and "auto regressive distributed lag" (ARDL). We applied the unit root test, Johansen multi-variate cointegration, and performed a Variance decomposition analysis using the Cholesky approach. The VECM and ARDL-bound testing approaches to cointegration suggest a long-term equilibrium nexus between GDP, energy use, population growth and CO2E. The empirical outcomes show the existence of a long-term equilibrium nexus between the variables. The Granger causality results show that short-term bi-directional causality exists between GDP and ENU, while a uni-directional causality between CO2E and GDP, CO2E and ENU, CO2E and PG, and PG and ENU. Evidence from variance decomposition indicates that 58.4% of the future fluctuations in CO2E are due to changes in ENU, 2.8% of the future fluctuations are due to changes in GDP, and 0.43% of the future fluctuations are due to changes in PG. Finally, the ARDL test results indicate that a 1% increase in PG will lead to a 1.4% increase in CO2E. Our paper addresses some important policy implications. [ABSTRACT FROM AUTHOR]