Iis P. Tussyadiah

Tourism decision-making is cognitively demanding. Travelers navigate fragmented information, coordinate interdependent choices amid uncertainty, and sustain planning. Although generative artificial intelligence (AI) is increasingly used in travel decision-making, tourism research has not explained how it alters the cognitive organization of decision-making. This article presents a framework theorizing generative AI as a scaffold across travel decision-making. The framework encompasses three pathways: mitigating executive load by structuring information and managing task-related demands; supporting psychological processing balance across intuitive, deliberate, and reflective modes; and sustaining decision continuity across iterative planning cycles. Attention deficit/hyperactivity disorder (ADHD) tendencies serve as a theory-revealing case, where pronounced variation in executive function brings mechanisms into sharp relief. Grounded in task-based interviews with 30 UK adults, the framework extends tourism decision-making theory by explaining how generative AI redistributes cognitive work between travelers and digital systems and reorients AI design from efficiency optimization toward individualized cognitive and emotional support. Also available in Korean and Bahasa Indonesia.

Foresight is viewed as a crucial long-horizon strategy to deal with uncertainty. Yet its conceptual foundation remains underdeveloped. Using a theoretical lens at the intersection of psychology and strategic management, this research conceptualised strategic foresight as multilevel organisational capabilities. Using an explanatory sequential mixed-methods design, we examined how foresight emerges from individual cognition, team interpretation, and organisational strategy. First, we refined and validated a multilevel foresight capabilities scale, drawing on survey data with 796 employees in human-centric service sectors. Three dimensions of foresight capabilities were identified across the individual, team, and organisational levels. Second, to confirm these findings, we employed semi-structured interviews with 15 senior managers and derived meta-inferences from the data. These resulted in measurable dimensions of strategic foresight capabilities, contributing to theory by explaining how future-oriented strategic capabilities are built across organisations. The findings offered actionable insights for business leaders to optimise foresight capabilities and strengthen organisational resilience.

This study examines how flashback nudging—a reminder of past pro-environmental actions—delivered through a chatbot survey over 6 weeks in a quasi-experimental design, can facilitate pro-environmental behavior spillover among tourists visiting nature-based destinations. Integrating conversational artificial intelligence allows for personalized, timely, and scalable interventions, making the delivery of flashback nudges more efficient and engaging than traditional methods. Flashback nudging effectively strengthens the impact of environmental self-identity on behavioral change. Although nudges take time to work, the multigroup analysis revealed significant differences in self-reported past pro-environmental behaviors between the treatment and control groups. The findings demonstrate the importance of deliberate, technology-enabled interventions in enhancing meaning-making processes and promoting transformative tourism experiences. Artificial intelligence advances behavior change efforts by enabling innovative, lasting environmental engagement. This study emphasizes the potential of conversational artificial intelligence to drive tourism’s contributions to a sustainable future, advancing the discourse on leveraging technology for behavioral interventions in tourism.

Recent advancement in Generative Conversational Artificial Intelligence (AI) has opened the possibility of promoting chatbots for nudging. Tourists returning home from destinations that enforce sustainable transport regulations might be nudged to continue traveling sustainably. Through exploratory qualitative research, this study conceptualizes a chatbot to facilitate pro-environmental behavior spillover among domestic tourists in the Gili Islands, Indonesia. The Service Design approach and Grounded Theory were applied throughout the data collection process involving semi-structured in-depth interviews, focus group discussions and field observations. Insights obtained from stakeholders from multidisciplinary backgrounds were used to provide an overview of how the chatbot can be developed and the potential impact it could bring. A theoretical model predicting factors that play important roles in adopting the proposed chatbot and its respective nudges was developed. It informs policymakers and practitioners about the potential use of AI to help transform tourist experiences and shape lasting responsible behaviors.

This study developed a perceived intelligence scale for artificially intelligent (AI) assistants and investigated its impact on users’ travel-related behavioral intentions. A four-stage study with a mixed-methods design was conducted. Study 1 identified three dimensions and 26 initial items through a systematic literature review, interviews, and focus group discussions. Study 2 used exploratory factor analysis to refine the items. Through composite confirmatory analysis, Study 3 confirmed an 18-item and three-dimensional scale (conversational intelligence, information quality, anthropomorphism). Study 4 established the scale’s predictive validity in travelers’ intentions to use AI assistants to search for travel information and make travel bookings. This research made the first attempt to identify factors shaping users’ perceptions of AI assistant intelligence, extending the understanding of human-AI interaction and AI technology adoption in the travel sector. Furthermore, it provides actionable recommendations for the travel industry and AI developers when designing and deploying AI assistant services.

In-destination travel decisions exist due to uncertainties after arrival and the flexibility of leisure travel. Concurrently, smartphone use encourages instant information searching and communication, which promotes in-destination decision-making and plan changes. However, previous studies have provided a limited understanding of in-destination decisions, particularly when travel companions are involved. This study thus adopted sociomateriality as a theoretical tool to offer a sociotechnical perspective in examining the interactions between travelers and their smartphones in an in-destination group decision-making context. We identified three communication patterns in group decision-making during trips and four features of smartphone sociomateriality: knowledgeability, thriftiness, referenceability, and negotiability. This study responds to recent calls to extend the theoretical repertoire of information technology and tourism research, and to conduct more empirical studies on tourists’ in-destination behaviors in the mobile Internet age.

Blockchain could disrupt traditional accommodation services by enabling safe, decentralised direct connections between guests and hosts. However, how users will accept and use blockchain-based services in tourism and hospitality remains unascertained. This study explores users’ perceptions of a blockchain-based peer-to-peer accommodation system and sets a theoretical basis to conceptualise the drivers of the acceptability of such a system. By using a grounded theory approach involving theoretical sampling and three steps of coding and constant comparison procedures, this study revealed that users were drawn to the system because it delivers desirable characteristics that are absent from existing services, such as further reduction of transaction fees, instant transaction settlement, wider income distribution, data integrity, algorithm autonomy, and smart protocol. Personal and social contexts were also found to influence users’ preferences for blockchain type and system ownership models. By offering key predictors and a theoretical model of user acceptance of a blockchain-based peer-to-peer accommodation system, hence taking a bottom-up approach to complement the highly top-down extant literature, this paper allows stakeholders exploring the use of blockchain technology in the tourism and hospitality sectors to have a comprehensive understanding of the phenomenon.

This study investigates how exposure to local prices changes the transaction utility of international tourists, and the role of purchasing power parity (PPP) and the use of cryptocurrency in these changes. Findings indicate that tourists’ transaction utility did not vary all that much when they visited a country with comparable PPP to their own. Meanwhile, when traveling to countries with a lower PPP, tourists enjoy a heightened transaction utility. Furthermore, using Bitcoin results in greater transaction utility than using fiat currency.