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This study reviews existing research and current applications of artificial intelligence (AI) in the hospitality and tourism industry. It further proposes a new evaluation framework to inform the susceptibility of AI adoptions.

This is a synthesis and evaluation study that qualitatively summarizes and presents findings on AI applications in the hospitality and tourism industry. Current AI applications are rated using a seven-dimensional framework based on Rogers' (2003) diffusion theory.

AI adoption susceptibility in the hospitality and tourism industry varies based on the type of AI. Search/booking engines, virtual agents and chatbots rank high in the adoption susceptibility.

This study bridges innovation diffusion theoretical underpinnings and AI applications. The findings support researchers, developers and managers in evaluating the adoption susceptibility of AI technologies in the hospitality and tourism industry.

This paper is among the few that focus on assessing AI adoption susceptibility in the hospitality and tourism industry. This paper develops a theory-based framework for systematically evaluating AI innovations in hospitality and tourism.

To demonstrate why leaving the ethnographic field provides an excellent opportunity for the researcher to engage in reflexivity on all aspects of the research and especially on issues of power, age and gender.

An autobiographical reflection on a 40 year career as an ethnographer.

The autobiographical literature and the methods literature on ethnography has neglected leaving the field, and the opportunities that process provides for reflectivity. The author reflects on issues of power, age and gender as they have been implicated in the various fieldsites studied in her career. The particular field site featured centrally is two martial arts, savate and capoeira.

To improve the quality of reflexive writing on leaving the field.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Tenn. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

In Australia as elsewhere, kindergarten or pre-school teachers’ work has almost escaped historians’ attention. The purpose of this paper is to investigate the lives and work of approximately 60 women who graduated from the Adelaide Kindergarten Training College (KTC) between 1908 and 1917, which is during the leadership of its foundation principal, Lillian de Lissa.

The paper is a feminist analysis and uses conventional archival sources.

The KTC was a site of higher education that offered middle class women an intellectual as well as practical education, focusing on liberal arts, progressive pedagogies and social reform. More than half of the graduates initially worked as teachers, their destinations reflecting the fragmented field of early childhood education. Whether married or single, many remained connected with progressive education and social reform, exercising their pedagogical and administrative skills in their workplaces, homes and civic activities. In so doing, they were not only leaders of children but also makers of society.

The paper highlights the links between the kindergarten movement and reforms in girls’ secondary and higher education, and repositions the KTC as site of intellectual education for women. In turn, KTC graduates committed to progressive education and social reform in the interwar years.

Discusses the challenges of management development in post‐apartheid South Africa. The main issue is how to compensate for apartheid’s negative legacy and bring large numbers of the previously disfranchised black majority into the corporate mainstream. Achieving this goal will require South African firms to develop aggressive affirmative action programs and to embrace leadership and training approaches that better reflect African values. Clearly, this will not be easy. Examples of South African companies that have taken these steps are presented as well as a conceptual framework that can help companies develop more Africanized approaches to management development.

This study investigates how artificial intelligence (AI) chatbots persuade customers to accept their recommendations in the online shopping context.

Drawing on the elaboration likelihood model, this study establishes a research model to reveal the antecedents and internal mechanisms of customers' adoption of AI chatbot recommendations. The authors tested the model with survey data from 530 AI chatbot users.

The results show that in the AI chatbot recommendation adoption process, central and peripheral cues significantly affected a customer's intention to adopt an AI chatbot's recommendation, and a customer's cognitive and emotional trust in the AI chatbot mediated the relationships. Moreover, a customer's mind perception of the AI chatbot, including perceived agency and perceived experience, moderated the central and peripheral paths, respectively.

This study has theoretical and practical implications for AI chatbot designers and provides management insights for practitioners to enhance a customer's intention to adopt an AI chatbot's recommendation.

1. The study investigates customers' adoption of AI chatbots' recommendation.

2. The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

3. The central and peripheral cues are generalized according to cooperative principle theory.

4. Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

5. Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

6. Customers' mind perception positively moderates the central and peripheral paths.

The study investigates customers' adoption of AI chatbots' recommendation.

The authors develop research model based on ELM theory to reveal central and peripheral cues and paths.

The central and peripheral cues are generalized according to cooperative principle theory.

Central cues include recommendation reliability and accuracy, and peripheral cues include human-like empathy and recommendation choice.

Central and peripheral cues affect customers' adoption to recommendation through trust in AI.

Customers' mind perception positively moderates the central and peripheral paths.