The earthquake disaster has an impact on tourist visit intention. This study aims to investigate tourist behavior in the post-earthquake disaster linkage between information sources (word of mouth and electronic word of mouth) and risk perception toward tourists’ visit intentions to a destination in Indonesia. This study applies the SOR theory to predict tourists’ behavior in the destination aftermath. The Partial Least Squares Structural Equation Model was used to examine the hypothesis of the study. The result found that information sources (electronic word of mouth and word of mouth) significantly influenced visit intention in the time of post-earthquake disaster. The risk perception has not significantly influenced visit intention in post-earthquake disasters. The discussion and conclusion of the study are discussed herein. Overall, the findings of the study may contribute to the theory by adding information sources to predict tourist behavior post-earthquake disaster and also gives a practical contribution to the tourism sector, stakeholders, tourism marketers, and policymakers in Indonesia to enhance the marketing strategy by considering destination promotion through word of mouth (offline) and electronic word of mouth (online) and its mechanism on tourists’ travel decision in the time of aftermath.

Recently, information, communication, and technologies (ICTs) and the tourism sector have gained attention from researchers and practitioners. Thus, we examined the trends in using ICTs in the tourism sector using a scientific document approach based on bibliometric analysis. A bibliometric analysis was conducted on 102 selected papers from the Scopus database from 2000 to 2021. The results revealed that the most discussed keywords in the papers were ICT and destination management organization, smart tourism destination, and smart city. Co-occurrence analysis was performed to analyze the trending topic in ICTs, tourism, and hospitality used by academics, while authorship network collaboration examined the partnership between different countries around the world. Statistics such as the number of documents per country, number of citations related to each country, ICT practice studies, and research methods were also discussed in this study. Limitations and implications were also indicated to provide deeper insights to researchers and their future research in terms of ICTs, tourism, and hospitality.

The sports lottery industry is growing globally, especially in the online betting market. This study focuses on online sports lottery behavior and tries to propose a framework applied in a virtual environment. Based on the Technology Acceptance Model, four antecedes (subject norm, computer anxiety, computer self-efficacy, and personal innovativeness) are added to this framework. The subjects of this study, from whom 268 valid questionnaires were collected, were betting members of sports lottery venders in the Taichung district. Findings show that subject norm is a good antecede in this framework, but computer anxiety does not reach statistical significance for explanation in this study. Both computer self-efficacy and personal innovativeness positively influence perceived usefulness. The results demonstrate the value of the expanded TAM and use of the expanded model indicates a high degree of acceptance for online betting systems among sports lottery consumers. The TAM expansion proved relevant in gathering applied information on the behavior of sports lottery consumers.