Search results

Literature on entrepreneurial resourcefulness (ER) has grown constantly in the last two decades. ER is a construct that describes the specific behavior of entrepreneurs, focusing on the generation and deployment of resources to pursue an opportunity. Since the ER literature has expanded and diversified, the purpose of this study is to integrate its findings with existing knowledge about the construct.

The study applies a systematic literature review approach, following the methodology of Tranfield et al. (2003). The authors identify and synthesize 31 studies focusing on ER.

The literature on ER can function on four different levels: (1) individual, (2) organizational, (3) contextual, and (4) effectual level. Studies on ER concentrate on either the individual or the organizational level, with the contextual and effectual levels appearing as additional study categories for the studies. Behind this categorization, research views ER either as an antecedent influencing a specific effect or as an outcome resulting from a particular context.

This paper is the first of its nature, structuring the existing ER research and proposing a research agenda on ER with seven concrete research avenues and their research questions. Based on the systematic literature review, the authors develop a framework consolidating the interrelations of the different levels.

This study aims to delve into the ethical challenges in artificial intelligence (AI) technologies to underscore the necessity of establishing principles for ethical AI utilization in hospitality and tourism.

A narrative review of research on ethical AI across diverse realms was conducted to reflect current research progress and examine whether sufficient measures have been taken to address issues pertinent to AI utilization in hospitality and tourism.

Ethical issues including privacy concerns, detrimental stereotypes, manipulation and brutalization pertinent to AI utilization are elaborated. How AI should be properly used and managed ethically, responsibly and sustainably is suggested.

Five fine-tuned principles for regulating AI use in hospitality and tourism are proposed.

A resilient mindset, enhancement of AI context adaptability, equilibrium between development and regulation and collaborative effort of multiple stakeholders are paramount.

Through applying the AI evolution trajectory model, this study contributes to the current discourse of managing AI by proposing a framework that addresses the specific characteristics of hospitality and tourism.