Purpose: The purpose of this study is to investigate the impact of opportunity recognition and entrepreneurial self-efficacy on the entrepreneurial intention of Indian university students. This paper also examines the moderating role of entrepreneurship education and gender on the opportunity recognition–intention and self-efficacy–intention relationships.Design/methodology/approach: The data were collected through a comprehensive questionnaire from 334 students having business and management background. Confirmatory factor analysis was used to ensure the reliability and validity of all the constructs, and structural equation modeling was used to test the proposed hypotheses.Findings: This study unveils three important findings. First, opportunity recognition and self-efficacy both show a significant positive impact on the entrepreneurial intention of students. Second, education positively moderates “self-efficacy–intention relationship”, and third, gender negatively moderates “opportunity recognition–intention” and “self-efficacy–intention” relationships.Research limitations/implications: This study has been carried out using a sample of students from only one university, and the study included only business and management background students. Similar studies can be conducted by adding more motivational and contextual factors with an increased sample size of students having different educational backgrounds.Practical implications: This study provides pragmatic support to formulate new educational initiatives that can support students in their present or future entrepreneurial projects.Originality/value: This study adds to the scarce literature on opportunity recognition and entrepreneurial intention and also highlights the moderating role of entrepreneurship education and gender on opportunity recognition–intention and entrepreneurial self-efficacy–intention relationships.

This paper examines the direct and indirect roles of individual entrepreneurial orientation and entrepreneurship education in determining students’ entrepreneurial intention through the mediation of entrepreneurial motivations. The study also attempts to ascertain the influence of entrepreneurship education on individual entrepreneurial orientation. Cross-sectional data were collected from 323 university students using the convenience sampling method. Confirmatory factor analysis was used to assess the model fitness and the reliability and validity of the data while hypotheses were tested using structural equation modeling. The findings affirm that entrepreneurship education facilitates both individual entrepreneurial orientation and entrepreneurial motivations and also has a positive association with entrepreneurial intention. More importantly, entrepreneurial motivations significantly mediate individual ‘entrepreneurial orientation–entrepreneurial intention’ and ‘entrepreneurship education–entrepreneurial intention’ relationships. The findings provide practical support for the framing of new educational policies to assist students in their existing and future entrepreneurial projects. The study contributes to the literature by recognizing the mediating effect of entrepreneurial motivations on the above relationships. It also adds to the scarce literature on the lately recognized individual entrepreneurial orientation construct.

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied to the AI and BDA literature to map out existing scholarships. We summarise 711 bibliometric articles on AI & its sub-sets and BDA published in multiple fields to identify academic disciplines with significant research contributions. We pulled bibliometric review papers from the Scopus Q1 and Q2 journal database published between 2012 and 2022. The Scopus database returned 711 documents published in journals of different disciplines from 59 countries, averaging 17.9 citations per year. Multiple software and Database Analysers were used to investigate the data and illustrate the most active scientific bibliometric indicators such as authors and co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. The USA was the most influential nation (101 documents; 5405 citations), while China was the most productive nation (204 documents; 2371 citations). The most productive institution was Symbiosis International University, India (32 documents; 4.5%). The results reveal a substantial increase in bibliometric reviews in five clusters of disciplines: (a) Business & Management, (b) Engineering and Construction, (c) Healthcare, (d) Sustainable Operations & I4.0, and (e) Tourism and Hospitality Studies, the majority of which investigate the applications and use cases of AI and BDA to address real-world problems in the field. The keyword co-occurrence in the past bibliometric analyses indicates that BDA, AI, Machine Learning, Deep Learning, NLP, Fuzzy Logic, and Expert Systems will remain conspicuous research areas in these five diverse clusters of domain areas. Therefore, this paper summarises the bibliometric reviews on AI and BDA in the fields of Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism and serves as a starting point for novice and experienced researchers interested in these topics.

Purpose: A sudden shift of work from the office to home amid global lockdown demands exploration of factors that facilitate or obstruct remote working and their impact on practical and psychological outcomes for the employee when individual mandatorily telecommutes full-time with no prior experience of the same. Based on job demands and resources model (JD-R), the present study explores the role of certain job demands and resources on negative and positive outcomes through mediating role of strain and well-being, respectively.Design/methodology/approach: A data sample of 371 IT sector employees was collected and confirmatory factor analysis model was run to assess the model fit indices, convergent and divergent validities of the data. While proposed hypotheses of the study were tested using structural equations modeling (SEM) technique.Findings: It was found that workload pressure, task interdependence, professional isolation and family interference in work lead to exhaustion and further stress, whereas the presence of autonomy and schedule flexibility and sufficient technology resources improve employee work-life balance and further better productivity and performance and job satisfaction. Improved well-being was also found to reduce stress for full-time telecommuters.Practical implications: This study provides implications that will help in doing away with exhaustion and stress for employees and ensure business continuity in emergencies like COVID-19 pandemic.Originality/value: There are no past instances of mandatory full-time telecommuting arrangement by organizations, and researchers never had the opportunity to study it. This research, based on the JD-R model provides for the first time empirical insights into the experiences of mandatory full-time telecommuting during COVID-19 induced lockdown.

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.

Purpose: The purpose of this paper is to explore the entrepreneurial characteristics among university students in India studying business and also comparing the levels of entrepreneurial characteristics between entrepreneurially inclined and entrepreneurially not inclined students.Design/methodology/approach: In this study, the authors included six entrepreneurial characteristics, namely, risk taking propensity, innovativeness, locus of control, need for achievement, general self-efficacy and tolerance for ambiguity to define the entrepreneurial profile of students. Convenient sampling was used for collecting the data using a seven-point Likert scale based on 38-items self-administered questionnaire. Data were collected from three universities of different cities, namely, Aligarh Muslim University, Aligarh, CSJM University, Kanpur and KMCUAF University, Lucknow. In total, 300 questionnaires were distributed in each of the universities, and 719 questionnaires were found statistically suitable for the study. Students were asked the question “What career option are you planning to choose after completing your graduation?” to know the inclination of the students.Findings: Results of thet-test confirmed that levels of all the entrepreneurial characteristics are higher in entrepreneurially inclined students when compared to entrepreneurially not inclined students except in terms of general self-efficacy. Thus, entrepreneurially inclined students carry higher risk taking propensity, innovativeness, locus of control, need for achievement and tolerance for ambiguity.Research limitations/implications: This study is confined only to undergraduate students from business background, and only three universities were included in the sample. Further research can be done taking students from different streams, namely, engineering, science and technology and arts etc. University-wise studies can also be conducted with the view to bring comparability among the students in terms of levels of entrepreneurial characteristics based upon the inclination shown.Practical implications: This research provides the deeper understanding about what course contents are effective in developing entrepreneurial characteristics among the students and what are to be added with the view to raise potential entrepreneurs.Originality/value: This paper contributes to establishing the differences across different entrepreneurial characteristics between entrepreneurially inclined and non-inclined undergraduate students.