Purpose The purpose of this study, a current systematic literature review, is to synthesize the extant literature on consumers’ adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. This study also outlines insights for academia, practitioners, AI marketers, developers, designers and policymakers. Design/methodology/approach This study used a content analysis approach to conduct a systematic literature review for the period of 10 years (2011–2020) of the various published studies themed around consumer’s adoption of AIR in HATS. Findings The synthesis draws upon various factors affecting the adoption of AIR, such as individual factors, service factors, technical and performance factors, social and cultural factors and infrastructural factors. Additionally, the authors identified four major barriers, namely, psychological, social, financial, technical and functional that hinder the consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry. Originality/value To the best of the author’s/authors’ knowledge, this study is a first attempt to synthesize the factors that drive consumers’ adoption of artificial intelligence and robots in the hospitality and tourism industry. The present work also advances the tourism and consumer behavior literature by offering an integrated antecedent-outcome framework. Visual abstract Figure 2 The objective of the current systematic literature review is to synthesize the extant literature on consumer’s adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. For that purpose, authors conducted content analysis of extant literature on consumer’s adoption of AIR in HATS from 2011 to 2020. Authors presented an integrated antecedent outcome framework of the factors that drive consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry.

PurposeSeveral industries including banking are booming because of COVID-19. However, it is still unknown whether this growth is momentary or permanent in nature. Hence, this study aims to identify the role of health-related concerns and trust as stimuli on M-payment loyalty.Design/methodology/approachData were collected through Google Forms from 431 participants. Subjects were M-payment users. The hypothesized model was tested using structural equational modeling.FindingsResults of the study indicate that perceived severity and trust act as stimuli for M-payment loyalty. Further, trust not only influences loyalty directly but also through intimacy. Additionally, no linear relationship was found between perceived usefulness and M-payment loyalty.Originality/valueThis work is an early attempt to consider health-related concerns and trust as stimuli to predict M-payment loyalty. Further, this study focused on three new constructs, namely perceived severity, perceived susceptibility and intimacy, that are underexplored in digital banking literature.

No abstract

Purpose This paper aims to investigate the use of Industry 4.0 (I4.0) technology and its barriers in human resourcemanagement (HRM) for Smart HR 4.0 and its impact on HR performance. Design/methodology/approach The research has been conducted using the grounded theory approach. Semi-structured interviews were conducted with 122 senior HR officers of national and multi-national companies in India after the extensive literature review. NVivo 8.0 software was used for the analysis of the interview data. Findings I4.0 technology is used for HRM functions by HR professionals. It is revealed that Smart HR 4.0 that emerged from the I4.0 technology has leveraged the HR performance. It is also found that usage barriers, traditional barriers and risk barriers affect the use of I4.0 technology in HRM. Originality/value A model is developed using the grounded theory approach for HR managers to understand the impact of I4.0 on HRM. This study reveals the barriers affecting the use of I4.0 technology in HRM. It also provides the model for HR performance that emerged through the use of I4.0 technology in HR and Smart HR 4.0. The research delivered key insights for the HR professionals, marketers of HR technology and technology developers.

The present study examines the existing knowledge and intellectual structure on contagious diseases and tourism to map the development of the concept through collaborative networks. Utilising the Scopus and Web of Science bibliometric databases, 328 research records were extracted through keyword searching and forward referencing approaches. Based on these records, the study conducted bibliometric and content analysis to diagnose core themes in the field. The present study's findings are helpful for academia and industry to aid their existing knowledge about contagious diseases, particularly its timeline, geographical spread, and development of coherent themes. A rigorous literature review revealed that the scholarly work in the domain of contagious diseases and tourism revolves around four important themes, namely COVID-19, SARS, Crisis management, and Sustainability. The first theme revolves around COVID-19, highlighting about the impact of COVID-19 on different sectors of the TTH industry, countries, stakeholders, and contexts. Also, researchers foresee COVID-19 as a catalyst to reshape the tourism industry. The next group of studies explained the handling of SARS, particularly by Asian countries. The third cluster elaborated on different stages of crisis and strategies adopted by organizations and countries to manage the crisis. Lastly, a handful of studies in the corpus stated that sustainability in tourism needs to be understood beyond saving the environment and aspiring prosperous travel and tourism industry. The study also suggested the scope of future work.