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This paper investigates empirically the link between entrepreneurship education programs and students’ entrepreneurial behavior, with a particular focus on the distinction between experiential and classroom-based education. We introduce a more refined measure of entrepreneurial engagement that combines entrepreneurship intention and actual steps taken to realize that intention. Using data from a survey of 836 students at the National University of Singapore (NUS), we utilize linear regression models to examine not only the direct effect of entrepreneurship education program participation on entrepreneurial engagement, but also its possible interaction effect with several psychological constructs drawn from the Theory of Planned Behavior. The results show that participation in university entrepreneurship programs, especially experiential-learning programs, has significant positive influence on students’ entrepreneurial engagement. Moreover, the effect of program participation is significantly moderated by the students’ attitudes and perceptions. The findings have important practical implications for universities in designing entrepreneurship programs on campus. The study supports the call to move toward hands-on experiential programs as a more effective way for educational institutions to influence students’ entrepreneurial behavior and encourage venture creation activity on campus. We also contribute to the literature by confirming the impact of entrepreneurship education not only on entrepreneurial intentions but also on the concrete steps taken by students toward venture creation.

Relatively few comparative studies have examined how perceptions across cultures might converge or diverge regarding careers in general and new venture careers in particular. Our research addresses this gap by providing a comparative study of career perceptions among undergraduate business students in three countries with different levels of experience with capitalism: Ukraine, South Korea, and the United States. Results suggest both surprising differences and interesting similarities between undergraduate students in the three countries with regard to how they perceive characteristics associated with entrepreneurial careers. Findings are discussed in the context of distinct differences and commonalities across cultures and implications for future research provided.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

This study seeks to understand the nexus between intellectual capital and profitability of healthcare firms in India with interaction effects.

Relevant data were extracted from the Centre for Monitoring Indian Economy (CMIE)'s Prowess database for a period of ten years 2009–2018 for a sample of 84 selected firms from the healthcare industry. This study uses value added intellectual coefficient (VAIC) and modified value added intellectual coefficient (MVAIC) as a measure of intellectual capital. Further, the study employs panel regression techniques to explore the relationship between intellectual capital and profitability.

The empirical findings reveal that the intellectual capital coefficient of healthcare firms in India averages 2.7757. It is also observed that a majority of the healthcare firms' intellectual capital coefficient is below the industry average. From the regression analysis, it is evident that the intellectual capital coefficient is positively related to the profitability of healthcare firms in India. As far as the components of intellectual capital coefficient are concerned, the capital employed coefficient (CEC) is the only component driving the profitability of healthcare firms in India. A further introduction of interaction terms improves model explainability and moderates the impact of the predictor variable on the response variable. Furthermore, it is observed that the intellectual capital coefficient of the healthcare industry is immune to changes in political regimes in India.

The findings reveal that intellectual capital is an important driver of corporate performance, thus healthcare firms in developing economies like India need to enhance their intellectual potential. Therefore, corporates and governments in developing economies should stimulate investments in developing intellectual capital for enhanced corporate performance and economic growth. Thus, this study might be used as a reference by policymakers while drafting the future policy for the development of intellectual capital in general and healthcare sector specifically.

This is among the first few studies to explore such an empirical relationship for healthcare firms in India and among the few studies of this kind across the globe. It also makes novel contributions in considering interaction variables and seeking the consistency of results across different political regimes. However, the study examines one nation and one industry; thus, the generalisation of findings requires caution.