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Islam describes business as a legitimate means of halal income. However, little is known about what attracts people towards Islamic entrepreneurship or halalpreneurship. By applying the theory of planned behaviour, this study aims to contribute to this underexplored area by investigating the factors that affect Islamic entrepreneurial intention (IEI).

This study examined a mediation model using two country samples. First, the hypotheses were tested on a sample recruited from a high-income economy (i.e. Saudi Arabia) using structural equation modelling in AMOS V26. The authors then conducted a replication study to investigate the robustness of the findings using a sample recruited from a lower-middleincome economy (i.e. Bangladesh) and a different analysis technique, the PROCESS mediation model in SPSS V25.

The findings suggest that IEI depends on four antecedents, namely, attitude towards Islamic entrepreneurship, general entrepreneurial self-efficacy, Islamic entrepreneurial self-efficacy and perceived halal income. These antecedents also mediate the relationship between moral judgement and IEI.

This study offers an empirical framework that captures several perspectives on the formation of IEI. The findings contribute to entrepreneurial intention and motivation research by suggesting factors that motivate individuals to engage in Islamic entrepreneurship.

The findings imply that the framework of IEI can withstand diverse socioeconomic contexts. A novel perspective of this study is that Muslims who are motivated by perceived halal income show greater interest in becoming Islamic entrepreneurs.

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

This study aims to investigate the factors that impact the solo travel intentions of millennial women in rural and urban areas. By exploring these factors, this research also sheds light on the similarities and differences in travel behaviors and motivations of women in different geographical contexts within India.