Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The purpose of this study is to offer a critical examination of the effects of GAI applications across a broad spectrum of stakeholders in the HT industry, in an effort to integrate practical and academic insights and foresights and drive academic research forward. Through the contributions of a purposeful selection of scholars, educators, and industry-practitioners, along the tenets of the stakeholder theory of the firm, this study highlights the potential challenges and opportunities of GAI and considers how academics can navigate the (research) complexities of this rapidly evolving technological phenomenon.

Purpose: This paper aims to develop a theoretical model to understand co-creation/co-destruction of value through customer engagement in online channels. It also investigates the contributing factors. Design/methodology/approach: The qualitative approach uses the critical incidents technique to answer the research questions. The authors identify 350 critical incidents in which customers expressed online customer engagement-induced value co-creation or co-destruction experiences. The factors and resulting propositions are identified through data analysis. Data coding and analysis are facilitated by using MAXQDA 12. Findings: Co-creation through positively valenced engagement behaviors may occur when customers are delighted, feel valued, experience reciprocity, receive organizational incentives, are solicited for feedback, can count on service recovery efforts and interact with helpful, empathetic, polite and responsive employees. Co-destruction through negatively valenced engagement behaviors emerges from rude employee behaviors, indifference, confrontation with company representatives, technological failure, the lack of complaint outlets and customers’ desire for revenge. Practical implications: Selecting and training employees to be helpful, polite, responsive and empathetic toward online visitors can trigger co-creation. Communication between firms and customers should boost customer approval and delight. Organizations can offer incentives, reliable service delivery and a recovery design to stimulate visitor participation. Soliciting feedback requires sound technological support and direct communication links with visitors. Originality/value: This study presents the conditions and framework contributing to the duality of customer engagement-induced co-creation and co-destruction values in online channels from the customer, organizational, employee, service design and technological perspectives. It also addresses how value is co-created or co-destructed through examples.

Purpose: This paper aims to examine consumers’ adoption of mobile technology to facilitate their banking services and activities, and to investigate the factors influencing their adoption and engagement. Design/methodology/approach: An online survey is used to test proposed relationships between factors and consumers’ mobile banking adoption. Structural equation modeling is performed to analyze consumers’ intentions toward mobile banking. Findings: Traditional technology acceptance model factors – perceived usefulness and perceived ease of use – are identified as effective factors in influencing consumers to adopt mobile technology for facilitating banking services. Moreover, technology safety concerns, including reliability and privacy factors, are found to play an important role in motivating consumers to embrace mobile banking. The “fun” feature of the technology and consumers’ innovativeness characteristics are considered important in influencing mobile banking adoption. Trust in the banks has its predominant role in mobile technology adoption for banking services. Practical implications: A bank gaining trust from its clients is key to active adoption of mobile banking technology. Bankers are advised to pay more attention to reliability and privacy features when designing and promoting mobile banking technology to consumers. Moreover, advertisements to bank clients should stress the “fun” aspects of the mobile banking apps to attract them to the use of mobile banking technology. Originality/value: This paper investigates the factors influencing bank consumers to adopting mobile banking apps to facilitate their banking services. Nine key factors in the technology adoption area are examined to provide a comprehensive understanding of bank clients’ use of mobile banking apps, which advances the understanding of mobile technology applied in the banking industry in the literature.

Purpose: This paper aims to explore the factors that influence Generation Y’s positive or negative electronic word-of-mouth (eWOM) behavior via social media and mobile technology in the foodservice sector. Three types of dining experiences were examined: positive and negative customer experiences and negative customer service followed by a satisfactory recovery package. Design/methodology/approach: A survey was adopted to test the factors posited to influence Generation Y consumers in these service contexts. Participants were recruited through Amazon Mechanical Turk , and multi-group structural equation modeling was performed to analyze the data. Findings: Active use of social media and peer influence had a sweeping influence on Generation Y’s intentions to engage in eWOM about their service experiences. Technological sophistication with mobile technology influenced Generation Y to spread positive or negative service experiences, rather than satisfactory recovery experiences. Family influence had a mixed influence on Generation Y subgroups (21-24 years old vs 25-35 years old) to engage in eWOM about their satisfactory or poor service experiences. In satisfactory recovery experiences, family influence showed no significant influence on Generation Y’s eWOM behaviors. Research limitations/implications: This study enriches online reviews and eWOM marketing theories, adds to service failure and recovery literature and enhances understanding of consumer behavior expressed by Generation Y through the empirical investigation of Generation Y consumers’ behavioral motivations to engage in eWOM through social media and mobile technology. Practical implications: Engaging Generation Y consumers with social media campaigns and mobile technology development is not merely sufficient in eWOM marketing strategies. Instead, it is essential to create integrative peer communities to motivate Generation Y consumers to engage in eWOM marketing. Marketers need to pay attention to the mixed effects of family influences on the eWOM behaviors of subgroups of Generation Y in positive or negative service experiences. Originality/value: Given the scarcity of consumer behavior research into Generation Y as an emerging market segment, this paper makes an incremental contribution by developing and validating a model of factors that influence Generation Y consumers’ eWOM intentions through social networking and mobile technologies in three major service contexts: positive, negative and recovery following a service failure.

Generation Z (Gen Z) has emerged as the largest and most challenging consumer group for destination marketers. This study investigates the varying effects of social media marketing activities (SMMAs) on Gen Z travel behaviors. A comparative analysis approach between Gen Z and other generations was used to assess the attributes of SMMAs and their role in tourism destination visits. Gen Z tourists were more susceptible to the four traits of SMMAs (entertainment, trendiness, interaction, and word-of-mouth) when choosing destinations and were more likely to pay a premium for visiting than their generational counterparts. Gen Z females were more likely to be influenced by SMMA customization and word-of-mouth features, while Gen Z males were more sensitive to the entertainment features of SMMAs. These findings deepens marketers’ understanding of Gen Z travelers’ preferences and behaviors so that they provide constructive directions for marketers to implement effective SMMAs strategies.