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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.

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.

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.

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.

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.

这篇系统性文献综述的目的是综合现有关于消费者在酒店和旅游部门（HATS）中采用人工智能和机器人（AIR）的文献, 以便全面了解它。这项研究还概述了学术界、从业者、人工智能营销人员、开发人员、设计师和决策者的见解。

本研究使用内容分析方法对 10 年（2011–2020 年）期间的各种已发表研究进行系统的文献回顾, 主题围绕消费者在 HATS 中采用 AIR。

本研究揭示了四大服务：自动化、定制、信息传播、旅游移动性和导航服务。 此外, 作者确定了阻碍消费者在酒店和旅游业采用人工智能和机器人的四大障碍, 即心理、社会、财务、技术和功能

本研究首次尝试综合推动消费者在酒店和旅游业中采用人工智能和机器人的因素。本文还通过提供一个综合的前因结果框架, 推进了旅游和消费者行为文献。

El objetivo de la actual revisión sistemática literaria es sintetizar la literatura existente sobre la adopción de la inteligencia artificial y la robótica (IAR) por parte de los consumidores en el contexto del sector hotelero y turístico (SHT) para ganar un entendimiento comprensivo del mismo. Este estudio también traza visiones para los académicos, profesionales, comercializadores de AI, desarrolladores, diseñadores, y los elaboradores de las políticas a seguir.

El presente estudio siguió un enfoque de análisis de contenido para realizar una revisión sistemática de la literatura durante el período de 10 años (2011–2020) de los diversos estudios publicados y basados en la adopción de IAR en SHT, por parte de los consumidores.

Este estudio desvela cuatro grandes servicios: automatización, personalización, difusión de información, movilidad turística y servicios de navegación. Adicionalmente, los autores identificaron cuatro barreras principales, a saber; psicológicas, sociales, financieras, técnicas y funcionales, que impiden la adopción de la inteligenica artificial y la robótica por parte del consumidor, en la industria de la hospitalidad y el turismo.

Este estudio es un primer intento de sintetizar los factores que impulsan la adopción de la inteligencia artificial y la robótica por parte de los consumidores en la industria hotelera y turística. El presente trabajo también fomenta la literatura sobre el turismo y el comportamiento del consumidor, ofreciendo un marco integrado de resultados precedentes.

The purpose of the present study is to synthesize the extant literature on augmented reality and virtual reality in the apparel industry using bibliometric and network visualization techniques. This paper also highlights the existing gaps in the literature and sets out the future research trajectory.

This study investigated research articles in the domain of augmented and virtual reality in the apparel industry to assess global trends in research production in this area, and top contributors to research by way of authors, journals, countries and institutions. The study carried out an analysis of 239 research articles from the Scopus database during the period 1995 to 2021. The study used open-source bibliometric tools such as Biblioshiny and VOSviewer to analyze the research literature over the search period and also identify emerging research avenues.

The bibliometric analysis reveals that there is significant interest in this research domain. A total of 673 authors contributed to the 239 research articles analyzed and the number of multi-author documents exceeded those by single authors. Research in this domain is led by China with the maximum number of articles in the data set followed by the USA and France. However, the USA has received the highest number of citations. Donghua University from China is the largest contributor to research in this domain with 13 articles in the data set. The keyword co-occurrence analysis indicates that “virtual reality” has the most number of co-occurrences and linkages with other keywords. Other important keywords include “augmented reality,” “virtual try-on” and “cloth simulation.” The network visualization exercise also revealed significant collaboration between different countries in this research domain.

The gaps highlighted in this study will act as a reference point for researchers to conduct future studies in the field of augmented and virtual reality in apparel industry. Practitioners will also gain a comprehensive understanding of this research domain.

This study, to the best of the authors’ knowledge, is the first attempt to integrate the disjoint literature of augmented and virtual reality in apparel industry through a mapping of the intellectual structure of this research domain. The study also contributes by way of providing a snapshot of future research avenues in the knowledge domain of augmented and virtual reality in the apparel industry.

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.

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.

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.

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.

This paper aims to cognizance consumers' intention to participate in collaborative consumption (CC). Also, the gender difference regarding the above is examined.

To quantify the consumers’ intention to participate in CC cross-sectional survey method has been used. In total, 333 potential consumers selected through convenience sampling participated in the survey. The study used the capabilities of the structured equation modelling technique to validate the proposed research model.

Except for hedonic motives, all other drivers such as reputation, economic benefits, sustainable motives and trust have a significant influence on the intention to participate in CC. The effect of gender was found on the relationship between Trust and Intentions only.

This study can be used as a guiding path in the domain of CC for practitioners, marketers, startups and policymakers as the opinion of potential users has been reported. The results of the study highlight that the consumers’ interest in CC participation and social reputation are the most influential drivers of intention to participate in CC. Marketers should design their strategies in such a way that the individual should feel like a social hero rather than just a responsible consumer while participating in CC.

The present study contributes to the literature by examining the intention to participate in CC through the lens of self-determination theory (SDT), specifically in the Indian context. The authors have also extended the SDT by adding a trust factor that is best to their knowledge not integrated till now. The present study integrated cognitive, economic, psychological and relational aspects to understand CC behavior.

Several 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.

Data were collected through Google Forms from 431 participants. Subjects were M-payment users. The hypothesized model was tested using structural equational modeling.

Results 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.

This 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.

This study aims to understand the relationship among the anthropomorphic features, perceived authenticity on customer engagement and electronic word of mouth using the integration of realism and trust theory in the context of virtual influencers (VI). This research also investigates the moderation of brand familiarity on both focal aspects of trust (cognitive and affective), anthropomorphic cues and perceived authenticity.

A mall-intercept survey approach was used to collect the responses using a structured survey from 377 respondents from India. The proposed model was tested using structural equation modelling.

The findings indicate that physical and cognitive anthropomorphic features and perceived authenticity influence cognitive trust. However, affective trust is only influenced by perceived authenticity. Apart from this, higher levels of trust in VI contribute towards higher customer engagement and lead to sharing electronic word of mouth. Finally, brand familiarity moderates the relationship between emotional cues and affective trust.

The popularity of VI is driving companies to redesign their marketing strategies. Due to the limitations of human influencers, companies are allocating budgets for VI-based marketing strategies. However, it is still unclear how consumers perceive VI as a brand endorser and what would be its implications. This study suggests that consumers are looking for anthropomorphic cues such as physical, cognitive and emotional cues of humanness in the VI, along with authentic content shared through them to instil their trust. Once the trust is built, consumers will be engaged and say positive things about VI.

This study fills the gap by examining how anthropomorphic features and perceived authenticity contributed to both dimensions of trust (cognitive and affective), further enhancing customer engagement and electronic word of mouth. This research also examined the moderation of brand familiarity on the relationship between trust and its antecedents.

Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many spiritual destinations where some of this life's essences can be sought to enjoy harmony and peace. The study aims to prioritize motivators driving the intentions of the tourists to visit the spiritual destination.

The current study applied the analytical hierarchical process, a multi-criteria decision-making technique, on the sample of visitors from all the six spiritual destinations to rank the motivational factors that drive the intentions of the tourist to visit a spiritual destination.

The study's results postulated that spiritual fulfillment motives and destination atmosphere are the top prioritized motivations, while destination attributes and secular motives emerged as the least prioritized.

The research study provides valuable insights to the spiritual tourism industry stakeholders to target the tourists' highly prioritized motivations to augment the visits to a particular spiritual destination.

Previous research has explored the motivations and modeled their relationships with tourists' satisfaction and intentions. But, the present study has applied a multi-criteria decision-making technique to add value to the existing knowledge base.

Massive open online courses (MOOCs) are among the most recent e-learning initiatives to gain widespread acceptance among universities. However, despite MOOCs' “much-documented” benefits, many questions are being raised late regarding the long-term sustainability of the open online teaching e-learning model. With high dropout rates in MOOCs courses, recent research has focused on the challenges limiting MOOCs’ growth. But most of the research is directed toward students’ perspectives, leaving the instructors’ perspective. One of the most important aspects of instructors’ perspective is the motivation for MOOCs' development and delivery.

The present study collected the data from 25 MOOC developers of Indian origin. To prioritize or rank the motivational factor behind developing a MOOC, a fuzzy-analytical hierarchical process (F-AHP) technique was applied to the data set. The primary motivational factors considered for the study were professional development, altruism, personal development, institutional development, intrigue, monetary benefits and peer influence.

The results showed that professional development and personal development are two prime motives that drive MOOCs development. Monetary benefits and peer influence were the least important factors among all the factors considered for the study.

Previous studies have identified and modeled the motivational factors that contribute toward developing MOOCs. However, there was little knowledge about the hierarchy among the motivating factors. The present study fills this gap by establishing the ranking of motivational factors responsible for MOOCs development.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0205.

Purpose: The purpose of the present study is to synthesize and organize existing literature on contagious diseases and tourism. This systematic mapping of the literature helps to identify various mature and emerging themes around the research domain in the literature.

Design/Methodology/Approach: The study uses systematic methodology along with bibliometric and content analysis. Using a combination of electronic database searching and forward and backward references searching, the study identifies 160 suitable published studies.

Findings: Initial bibliometric analysis reveals that Tourism Geographies and Tourism Management are most influential journals and Law and Lee are most influential authors working on this field. The Hong Kong Polytechnic University and Universiti Sains Malaysia are among the top contributing educational and research organizations. Further, the content analysis reveals that literature on contagious diseases and tourism industry revolves around three prominent themes namely SARS and other contagious diseases, crisis management and tourism forecasting.

Research Limitations/Implications: The study does not consider ‘grey literature’ and conference proceedings.

Originality and Value: Present study is one of the early attempts that analyzes the literature on contagious diseases and tourism using bibliometric analysis and contributes to the literature by identifying various mature and emerging on contagious diseases and tourism literature. These insights provide a robust map for future investigation in this field and also offer implications for practitioners.