ABSTRACT
PurposeThis study aims to review the progress of research on artificial intelligence (AI) relating to the hospitality and tourism industry, focusing on the content, focal points, key terms and trends of AI research.Design/methodology/approachA total of 491 referred papers are selected from the Web of Science core collection database. These papers, published in the past 30 years (1991–2021), are analyzed by using Gephi and VOSviewer software.FindingsAI research shows a growing trend since 1991, and the number of publications and citations increased significantly since 2018, indicating that AI became a focus for researchers. AI studies are grouped into four clusters, namely, AI technology, technology acceptance, customers' perception and future trends. The research focus changed from AI technology in the early stage to customers' attitudes toward and willingness to accept AI.Research limitations/implicationsThe findings contribute to advance knowledge development, identify research gaps and shed light on future research. The results offer practical enlightenment for governments, tourism destinations and hospitality organization.Practical implicationsThe results offer practical enlightenment for governments, tourism destinations and hospitality organization.Originality/valueThis study is the initial attempt to provide a systematic review of AI research relating to the tourism and hospitality fields.
ABSTRACT
Within luxury hotels targeting multinational segments, frontline service staff are essential to creating unique, personalized experiences for high-value, discerning clientele. Performing emotional labor and utilizing cultural intelligence are key to ensuring exceptional cross-cultural service encounters, but which also create additional pressures for frontline staff. This study aims to assess the impacts of a comprehensive range of emotional labor and cultural intelligence (CQ) on employees' job satisfaction. Cognitive CQ, motivational CQ, emotive dissonance, and expression of naturally felt emotions were shown to influence job satisfaction. Moreover, the study engaged senior executives from luxury hotels to further discuss the survey results. This approach helped the researchers and practitioners to (re)contextualize the study's key findings, which were used to reflect on managers' understanding of cultural intelligence, emotional labor and job satisfaction. The discussions highlighted how these issues were incorporated in luxury hotels' human resource practices in general and especially during the COVID-19 crisis. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Within luxury hotels targeting multinational segments, frontline service staff are essential to creating unique, personalized experiences for high-value, discerning clientele. Performing emotional labor and utilizing cultural intelligence are key to ensuring exceptional cross-cultural service encounters, but which also create additional pressures for frontline staff. This study aims to assess the impacts of a comprehensive range of emotional labor and cultural intelligence (CQ) on employees’ job satisfaction. Cognitive CQ, motivational CQ, emotive dissonance, and expression of naturally felt emotions were shown to influence job satisfaction. Moreover, the study engaged senior executives from luxury hotels to further discuss the survey results. This approach helped the researchers and practitioners to (re)contextualize the study’s key findings, which were used to reflect on managers’ understanding of cultural intelligence, emotional labor and job satisfaction. The discussions highlighted how these issues were incorporated in luxury hotels’ human resource practices in general and especially during the COVID-19 crisis.