Purpose: The purpose of this empirical study is to enable a better understanding of the construct sustainability-oriented entrepreneurial intentions (SEI) and thereby promote sustainable entrepreneurship. It aims to examine the significance of work values (extrinsic rewards, intrinsic rewards and job security) as antecedents of SEI and to test the mediating effect of three constructs derived from the theory of planned behaviour – attitude towards sustainability, perceived entrepreneurial desirability and perceived entrepreneurial feasibility on the relationships between work values and SEI.Design/methodology/approach: Confirmatory factor analysis and exploratory factor analysis were performed using analysis of moment structures v27 and statistical package for social science v28 on data obtained from the survey of young individuals of India. The respondents were students enrolled in higher education programmes.Findings: All the identified antecedents (extrinsic rewards, intrinsic rewards, job security and theory of planned behaviour constructs) were found to be statistically significant. The partial mediating effect of the theory of planned behaviour constructs was also reported.Originality/value: This empirical work leads to the theoretical advancement of the emerging construct, SEI, by presenting evidence of the significant individual-level antecedents of the construct. The results lead to recommendations for policymakers and educators to design strategies to strengthen SEI, thereby expanding the adoption of sustainable entrepreneurship.

Over recent years, the rate of adoption of artificial intelligence (AI) in the healthcare sector has grown. However, little is known about the success and failure factors. Therefore, this chapter presents a narrative review around the concepts, critical factors, impacts, and challenges behind AI adoption in the healthcare sector. 50 papers were found in the Scopus and Web of Science databases during the period from 2018 to June 2023. The results revealed that the adoption of AI was affected by perceived benefit, perceived ease of use, social influence, attitudes, training, top management support, and more. It was also shown that the challenges of adopting AI are its high cost, unprepared infrastructure, low level of expertise, resistance to change, security concerns, and trust. Consequently, this research advances our theoretical understanding of AI adoption in healthcare organizations in different economic and cultural contexts; and it can provide insights to various stakeholders for effective AI adoption.

This chapter empirically examines the significance of an individual's family climate and its six dimensions (open communication, intergenerational attention, intergenerational authority, emotional cohesion, cognitive cohesion and adaptability) in driving entrepreneurial self-efficacy. Responses to a structured questionnaire were collected from 1123 students from all over India through email. A stepwise regression analysis was performed using SPSS 26.0 to measure the strength of relationship between family climate dimensions and entrepreneurial self-efficacy of an individual. Additionally, a bivariate regression analysis was performed to examine the overall influence of family climate on entrepreneurial self-efficacy. The relationship between family climate (FC) and entrepreneurial self-efficacy (ESE) was found to be positive and statistically significant. Three dimensions of FC (i.e., open communication, emotional cohesion, and intergenerational attention) emerged as significant predictors of an individual's entrepreneurial self-efficacy. Request access from your librarian to read this chapter's full text.