Artificial intelligence (AI) is an important link between online consumers and the tourism industry. AI-chatbots are the latest technological advancement that have shaped the tourism industry. AI-chatbots are a relatively new technology in the hospitality and tourism industries, but little is known about their use. The study aims to identify factors influencing AI-chatbot adoption and their use in improving customer engagement and experiences. Using an offline survey, researchers collected data from 530 respondents. Using the structural equation modeling technique, the conceptual model was empirically tested. According to the results, the S-O-R theoretical framework is suitable for evaluating chatbot adoption intentions. Additionally, the structural model supported the ten hypotheses, validating the suggested directions of substantial impacts. In addition to practitioners and tourism managers, this study also has broad implications for scholars.

Developments in internet and mobile technology during current times have brought about a disruptive change in travel information communication technology (ICT), which in turn has altered the overall business model and consequently tourists’ overall experience. The current study examines travelers’ attitude, intention and behavior toward online travel purchase. It also examines the mediating effect of attitude and moderating effects of subjective norm, perceived risk, and trust. The primary data was collected through an Amazon Mechanical Turk. Findings confirm the role of perceived risk on the attitude-intention gap. Subjective norm positively moderates the link attitude-intention. Besides, trust is also found to be a significant factor which influences attitude, purchase intention, and perceived risk. The findings will be useful for tourism managers and policymakers in designing their offerings, processes and websites that are relevant to the online travel context.

Purpose: The purpose of this study is to present a systematic review of the online service failure (OSF) literature and conduct an exhaustive analysis of academic research on this emerging research area.Design/methodology/approach: The current study has adopted a structured systematic literature review approach to synthesize and assess the OSF literature. Further, the study uses the Theory-Context-Characteristics-Methodology (TCCM) framework to propose future research directions in the OSF domain.Findings: This systematic review shows that OSF research is still developing and remains mainly incoherent. Further, the study develops a conceptual framework integrating the frequently reported antecedents, mediators, moderator and consequences in the extant literature. This review also synthesizes the theoretical perspectives adopted for this domain.Research limitations/implications: The study followed specific inclusion and exclusion criteria to shortlist articles. Further, articles published only in the English language were considered. Hence, the findings of this review cannot be generalized to all OSF literature.Practical implications: This systematic review has classified antecedents into customers' and service providers' roles which will enable online service providers to understand all sets of factors driving OSF. It also synthesizes and presents service recovery strategies and emphasizes the role of online customer support to fix OSF.Originality/value: The OSF literature is still developing and remains highly incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the OSF literature to study its development over time and proposes a framework which provides a comprehensive understanding of OSF.

The current study aims to understand as to how tourists use internet to search for information related to eco-tourism. Besides the mediating role of perceived usefulness, this study also attempts to determine the behavioural intentions and actual usage of tourists by extending the Technology Acceptance Model. A self-administered questionnaire in English was used to collect the data. The findings revealed that perceived ease of use, perceived usefulness, and electronic information quality significantly influence tourists’ intentions to adopt technology which in turn influences their actual usage. The findings shed useful insights for the website/app developers on how they should provide a user-friendly interface along with credible information to influence tourists’ behaviour.