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.

Recent changes in national and international environmental policy place a lot of emphasis on electric vehicles (EVs) as they reduce ecological damage by eliminating emissions. However, given the products’ novelty, consumers have expressed mixed emotions about EV purchases. Skepticism surrounding EV reliability is a significant concern for potential adopters, primarily due to a lack of essential support. As a result, to resolve the problem of consumers’ mixed emotions toward EVs, it is necessary to understand how consumer environmental concerns (EC), attitudes, subjective norms and perceived behavioral control shape consumers’ intentions. Leveraging the modified and expanded version of the Theory of Planned Behavior (TPB), the current study developed and validated a conceptual model and hypotheses through cross-sectional research. Employing the snowball sampling method, we collected data from 274 respondents via an online survey. The study establishes that social pressure can impact individual ATT, fostering enduring benefits for respondentsʹ EC and behavioral intentions. Consequently, active involvement by EV manufacturers in advocating sustainable consumption is paramount to catalyzing future market growth. Our research is a ground-breaking attempt to determine EV interest among consumers. The nuanced findings hold implications for marketers/practitioners involved on the supply side of the EV business.

Recently, researchers have been drawn to the literature surrounding positive psychology. The role of explanatory and dispositional optimism in eco-friendly tourism has been largely ignored by researchers, even though positive psychology, or optimism, has been studied in the sustainability domain. The purpose of this study is to determine which trait predicts eco-friendly tourist behavior. In the study, the data were collected online using Amazon Mechanical Turk from 400 respondents, and the model was assessed using partial least squares structural equation modeling. Findings revealed that in terms of predicting eco-friendly tourism behavior, dispositional optimism outperformed explanatory optimism. Furthermore, this study found that environmental concern positively moderates the association between optimism (dispositional and explanatory) and eco-friendly tourism behavior. This study has wide-ranging implications for tourism managers, practitioners, and academics.

This study examines the role of environmental knowledge, perceived consumer effectiveness, and willingness to sacrifice on travelers’ towel reuse behavior. Additionally, it tests whether environmental consciousness moderates the effect of environmental knowledge, perceived consumer effectiveness, willingness to sacrifice, and attitude towards towel reuse on actual towel reuse behavior. The proposed research model was tested using Amazon Mechanical Turk data. Using partial least square structural equation modelling, we analyzed the hypotheses. The results demonstrate that environmental knowledge, perceived consumer effectiveness, and willingness to sacrifice have significant influences on travelers’ towel reuse behavior. Additionally, findings about environmental consciousness indicate that high levels of environmental consciousness can help bridge the attitude-behavior gap. To bridge the gap between travelers’ attitude and behavior, managers should develop communication strategies to raise awareness and a sense of responsibility among them.

This study investigates the influence of environmental servant leadership on green innovation, emphasizing the mediating role of corporate environmental ethics. As global industries increasingly prioritize sustainability, understanding leadership's role in fostering environmentally responsible innovation becomes essential. Data were collected from 448 employees working in the oil, gas, and petrochemical industries in Saudi Arabia, sectors known for their environmental impact and evolving sustainability practices. The study employs structural equation modeling (SEM) using AMOS 24 software to analyze the hypothesized relationships. The findings reveal a significant positive relationship between environmental servant leadership and corporate environmental ethics, highlighting the critical role leadership plays in shaping ethical environmental practices within organizations. Furthermore, the results demonstrate that corporate environmental ethics significantly enhance green innovation, suggesting that fostering a strong ethical culture can drive sustainable innovation. The mediating analysis confirms that corporate environmental ethics partially mediate the relationship between environmental servant leadership and green innovation, underscoring the importance of ethical frameworks in translating leadership efforts into innovative outcomes. This study provides valuable insights for industry leaders, policymakers, and environmental strategists by showcasing how leadership and ethical practices can jointly promote sustainable innovation.