Tourism Management最新文献

英文中文

Leadership networks: Shaping AI innovations through responsible practices in Vietnamese tourism and hospitality firms 领导网络：通过越南旅游和酒店公司的负责任实践塑造人工智能创新

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-10-01 DOI: 10.1016/j.tourman.2025.105317

Marcela Fang , Van Thi Nguyen , Thanh Le Minh , Judy Louie , Loi Ngoc Pham , Christopher Hewson

Artificial intelligence (AI) holds significant promise for elevating customer experiences and environmental, social and governance performance in the tourism and hospitality (TH) industry. However, its adoption and use raise ethical concerns and risks, necessitating an effective leadership approach to guide responsible AI-driven innovations and mitigate consequences, such as diminished stakeholder trust. This study examines responsible AI diffusion in TH firms in a developing country through Network Leadership and Actor Network Theory (ANT). It also explores how leadership can be applied to influence the AI-driven approach to improve environmental, social, and governance performance. Understanding the fundamental ANT-based network leadership dynamics within Vietnamese firms can be leveraged to explore and exploit innovations under a suitable and responsible AI governance framework. The study presents theoretical and practical implications for leadership and management in the era of leading with AI.

人工智能（AI）在提升旅游和酒店（TH）行业的客户体验和环境、社会和治理绩效方面具有重大前景。然而，人工智能的采用和使用引发了道德问题和风险，需要一种有效的领导方法来指导负责任的人工智能驱动的创新，并减轻后果，例如利益相关者信任的减少。本研究运用网络领导和行动者网络理论（ANT）对发展中国家TH企业负责任的人工智能扩散进行了研究。它还探讨了如何应用领导力来影响人工智能驱动的方法，以改善环境、社会和治理绩效。了解越南公司内部基于ant的基本网络领导动态，可以在合适和负责任的人工智能治理框架下探索和利用创新。该研究为人工智能时代的领导和管理提供了理论和实践意义。

引用次数: 0

A game-theoretic approach to green tourism development strategies: Government interventions and sustainable practices across diverse markets 绿色旅游发展战略的博弈论方法：不同市场的政府干预和可持续实践

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-30 DOI: 10.1016/j.tourman.2025.105319

Shuyi Wang , Xinyan Zhang , George Q. Huang

Governments worldwide have formulated interventions to facilitate the transition to green tourism, but the most effective approaches remain unclear. Existing research has focused primarily on tourism business strategies in response to government interventions, with limited attention to government goals and social welfare. Through the lens of stakeholder theory and triple bottom-line theory, this study establishes a private-public-people partnership (P4) model to examine the effectiveness of green measures and develop optimal subsidy programs. These programs are intended to function in an economy where the tourism industry is sustainably managed, with environmental, economic and social objectives. Unlike traditional models using a two-layer structure, a three-layer game-theoretical approach is employed to better capture the complexities of real-world dynamics. Our analysis reveals that the structure of the optimal subsidy program relies on (a) the market types (mass versus niche); and (b) the presence of well-implemented measures for higher-level green tourism. Key findings include: (1) well-budgeted subsidy programs can achieve the three goals; (2) governments should prioritize tourist subsidy in niche markets, while tourism business subsidy is necessary for the mass market; and (3) tourism businesses benefit from higher-level green measures, which contribute to greener tourism experience, higher price stability, and a better environment.

世界各国政府已经制定了促进向绿色旅游过渡的干预措施，但最有效的方法尚不清楚。现有的研究主要集中在应对政府干预的旅游企业战略上，对政府目标和社会福利的关注有限。本文通过利益相关者理论和三重底线理论的视角，建立了一个公私伙伴关系（P4）模型，以检验绿色措施的有效性，并制定最优补贴方案。这些计划旨在在旅游业可持续管理的经济中发挥作用，具有环境，经济和社会目标。与使用两层结构的传统模型不同，采用了三层博弈论方法来更好地捕捉现实世界动态的复杂性。我们的分析表明，最优补贴方案的结构取决于(a)市场类型（大众还是利基）；(b)实施良好的高水平绿色旅游措施。主要发现包括：(1)预算合理的补贴方案可以实现三个目标；(2)政府应优先对小众市场进行旅游补贴，而对大众市场进行旅游企业补贴；(3)旅游企业受益于更高层次的绿色措施，这有利于更绿色的旅游体验、更高的价格稳定性和更好的环境。

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引用次数: 0

From profile pictures to booking choices: Understanding the role of intelligence cues in hosts’ photos 从个人资料照片到预订选择：了解主人照片中智力线索的作用

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-27 DOI: 10.1016/j.tourman.2025.105313

Jian-Wu Bi, Xin Wen, Tian-Yu Han , Hong Xu

This study explores the relationship between the perceived intelligence in hosts' profile photos and consumers’ booking intentions in peer-to-peer accommodation platforms. Specifically, we first developed a deep learning model to assess the intelligence signals projected through hosts’ profile photos. Using this model, we quantified these signals across Airbnb listings in seven major U.S. cities. We then employed econometric models to analyze how these intelligence signals influence consumer booking intentions. The findings reveal that: (1) a U-shaped relationship exists between intelligence signals and booking intentions; (2) psychological safety needs moderate the left side of the U-shaped relationship; (3) self-discrepancy moderates the right side; and (4) factors such as age, emotional expression, image quality, facial hair, eye direction, and facial orientation significantly influence consumers’ perceptions of intelligence signals. This study contributes to the literature on visual marketing in peer-to-peer accommodations and offers practical suggestions for optimizing profile photo design.

本研究探讨了在点对点住宿平台上，房东个人资料照片中的感知智力与消费者预订意愿之间的关系。具体来说，我们首先开发了一个深度学习模型来评估通过主持人的个人资料照片投射的智能信号。使用这个模型，我们量化了美国七个主要城市Airbnb房源中的这些信号。然后，我们采用计量经济学模型来分析这些智能信号如何影响消费者的预订意图。研究结果表明：(1)情报信号与预订意愿呈u型关系；(2)心理安全需求调节左侧u型关系；(3)自我差异调节右侧；(4)年龄、情绪表达、图像质量、面部毛发、眼睛方向、面部朝向等因素显著影响消费者对智力信号的感知。本研究对点对点住宿的视觉营销文献有所贡献，并为优化个人资料照片设计提供实用建议。

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引用次数: 0

The impact of visual perspective in advertising on tourist misbehavior 广告视觉视角对游客不当行为的影响

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-26 DOI: 10.1016/j.tourman.2025.105312

Lu (Monroe) Meng , Shuo Pang , Mengying Zhang , Yan Liu , Xavier Font

The challenge of addressing tourist misbehavior has garnered significant attention from both the industry and academia. This research integrates visual perspective literature with normative moral theory to identify persuasive forms of advertisements, with a view to discourage tourist misbehavior. We have conducted four experiments, which consistently demonstrate that deontological reasoning can explain why a third-person (versus first-person) perspective in advertising leads to more actions (in field experiments), and stronger intentions to reduce tourist misbehavior. In addition, we find that egoistic appeals (versus altruistic appeals) weaken the effectiveness of the third-person perspective in reducing tourists’ intention to misbehave. These findings provide valuable insights for tourism site administrators, marketing professionals, and destination management organizations by highlighting the strategic use of morally persuasive advertisements to discourage tourist misbehavior.

解决游客不当行为的挑战已经引起了业界和学术界的极大关注。本研究将视觉视角文献与规范道德理论相结合，以识别有说服力的广告形式，以期阻止游客的不当行为。我们进行了四个实验，一致地证明义务论推理可以解释为什么广告中的第三人称（相对于第一人称）视角会导致更多的行为（在现场实验中），以及更强烈的减少游客不当行为的意愿。此外，我们发现利己主义诉求（相对于利他主义诉求）削弱了第三人称视角在降低游客不当行为意愿方面的有效性。这些发现为旅游网站管理者、营销专业人员和目的地管理组织提供了有价值的见解，强调了道德劝说广告的战略使用，以阻止游客的不当行为。

引用次数: 0

Dynamic knowledge practices in tourism village development: An activity theory perspective 旅游村发展中的动态知识实践：活动理论视角

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-26 DOI: 10.1016/j.tourman.2025.105316

Xianyang Hu , Jie Chen , Songshan (Sam) Huang

This study investigates why tourism village development models often fail to replicate success despite cultural and geographic similarities. Using activity theory and knowledge management concepts, we analyze two adjacent Chinese villages to trace explicit knowledge flow and examine disrupted tacit and indigenous knowledge practices. Findings show that while surface-level knowledge transfer occurs, contradictions within activity system elements, especially the marginalization of indigenous knowledge and community capacity, hinder effective knowledge application. Knowledge flow is inherently nonlinear and deeply context-dependent. We develop a comparative activity system model that highlights how success hinges less on knowledge transfer and more on the integration of indigenous knowledge into local tourism development. This model underscores the importance of stable, embedded knowledge structures for sustainable outcomes. The study challenges oversimplified assumptions about replicability in tourism development and offers insights for culturally sensitive, context-specific strategies in knowledge practices in tourism development.

本研究探讨了为何旅游村的发展模式往往无法复制成功，尽管文化和地理上的相似性。运用活动理论和知识管理的概念，我们分析了两个相邻的中国村庄，以追踪显性知识流动，并检查中断的隐性和本土知识实践。研究结果表明，在表层知识转移发生的同时，活动系统要素内部的矛盾，特别是土著知识和社区能力的边缘化，阻碍了知识的有效应用。知识流本质上是非线性的，并且高度依赖于上下文。我们开发了一个比较活动系统模型，该模型强调了成功如何更少地依赖于知识转移，而更多地依赖于将本土知识整合到当地旅游发展中。该模型强调了稳定的嵌入式知识结构对可持续成果的重要性。该研究挑战了关于旅游发展可复制性的过于简单化的假设，并为旅游发展知识实践中的文化敏感、具体环境策略提供了见解。

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引用次数: 0

Can authentic handwriting enhance customer extra-role behavior? A three-condition comparison framework 真实的笔迹能增强顾客的角色外行为吗？一个三条件比较框架

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-26 DOI: 10.1016/j.tourman.2025.105310

Xingyang Lv , Kewei Shi , Dazhi Qin , Jingjing Luo , Tian Lan

In P2P accommodation, service providers frequently use messages to communicate with customers or request assistance. This study develops a two-stage mediation model that reflects the dual attributes of handwriting. This study uses a mixed-method approach and multi-source data. By comparing three message types, it shows that authentic handwriting outperforms printed and printed-handwritten typefaces in eliciting customer extra-role behavior. The study also uncovers the distinct mechanisms of handwriting’s dual attributes and the psychological process through which they work jointly. Moreover, the effect of handwriting is amplified when the message is written in a vivid (vs. serious) style and remains significant in other off-site service scenarios. However, this effect disappears when others, either fellow customers or service staff, are present. Overall, this research introduces a novel and effective strategy for encouraging customer extra-role behaviors, thereby helping service providers reduce their operational burden.

在P2P住宿中，服务提供者经常使用消息与客户沟通或请求帮助。本研究建立了一个反映笔迹双重属性的两阶段中介模型。本研究采用混合方法和多源数据。通过比较三种信息类型，它表明真实的手写字体在激发客户的额外角色行为方面优于印刷和印刷手写字体。该研究还揭示了笔迹的双重属性的独特机制以及它们共同作用的心理过程。此外，当信息以生动（相对于严肃）的风格书写时，手写的效果会被放大，并且在其他非现场服务场景中仍然很重要。然而，当其他顾客或服务人员在场时，这种效果就消失了。总之，本研究提出了一种新颖有效的策略来鼓励顾客的角色外行为，从而帮助服务提供者减轻他们的运营负担。

引用次数: 0

How practitioners can leverage GenAI to bridge the research-practice gap 从业者如何利用GenAI来弥合研究与实践之间的差距

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-24 DOI: 10.1016/j.tourman.2025.105309

Wassili Lasarov , Melanie Trabandt , Stefan Hoffmann , Giampaolo Viglia

Despite the practical relevance of many tourism research studies, organizations and policymakers often struggle to integrate them due to time constraints, language barriers, limited resources, and interaction challenges. Generative artificial intelligence (GenAI) offers new capabilities to overcome these barriers. We propose a GenAI-enabled knowledge translation process with three stages: (i) research curation to identify and translate relevant literature; (ii) content creation to produce materials; and (iii) market research using synthetic guests to pre-test their effectiveness. We examine the capabilities, limitations, and ethical implications of GenAI at each stage, drawing on a systematic review of GenAI and tourism literature. To equip managers with the knowledge and tools needed to harness research-based insights effectively, we offer a toolkit comprising a handbook, a promptbook, and tailored GPT models. The toolkit enables tourism and hospitality practitioners to apply research findings in their decision-making and content strategies without direct stakeholder interaction.

尽管许多旅游研究具有实际意义，但由于时间限制、语言障碍、资源有限和互动挑战，组织和政策制定者往往难以整合这些研究。生成式人工智能（GenAI）为克服这些障碍提供了新的能力。我们提出了一个基于genai的知识翻译过程，分为三个阶段：(i)研究策划，以识别和翻译相关文献；（ii）制作材料的内容创作；（三）利用合成嘉宾进行市场调研，预测试其有效性。通过对基因人工智能和旅游文献的系统回顾，我们研究了基因人工智能在每个阶段的能力、局限性和伦理意义。为了使管理人员具备有效利用基于研究的见解所需的知识和工具，我们提供了一个工具包，包括一本手册、一本提示本和定制的GPT模型。该工具包使旅游和酒店从业人员能够将研究成果应用于其决策和内容战略，而无需直接与利益相关者互动。

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引用次数: 0

Two sides to every coin: The mixed impacts of intelligent technology disruption and employees’ implicit belief on taking charge 每一枚硬币都有两面：智能技术颠覆的混合影响，以及员工对掌控权的内在信念

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-22 DOI: 10.1016/j.tourman.2025.105311

Shi Qiao , Tang Yao , Shangwen Wu , Ye Chen

Intelligent technology disruption in tourism and hospitality has ignited discussions regarding its effects on employees' work-related behaviors. However, limited research has investigated whether this disruption influences tourism and hospitality employees' taking charge. Drawing on conservation of resources theory and implicit theory, we contend that intelligent technology disruption exerts mixed effects on employees' taking charge, and these effects are contingent on their different implicit beliefs. Specifically, for entity believers, their heightened perception of technology-driven job replacement insecurity stifles their taking charge. Conversely, for incremental believers, their enhanced level of technology-driven job transformation insecurity stimulates their taking charge. Our dual-path model was validated through five studies involving 1262 participants from hotels, travel agencies, and airlines. The findings offer theoretical implications, as well as practical insights for tourism and hospitality organizations seeking to manage employees’ taking charge effectively, thereby promoting bottom-up organizational change in an era steeped in rapid advancements in intelligent technologies.

智能技术对旅游业和酒店业的颠覆引发了有关其对员工工作行为影响的讨论。然而，有限的研究调查了这种中断是否会影响旅游和酒店员工的负责。利用资源守恒理论和内隐理论，我们认为智能技术颠覆对员工负责产生混合影响，这些影响取决于员工不同的内隐信念。具体来说，对于实体信徒来说，他们对技术驱动的工作替代不安全感的高度感知扼杀了他们的掌控力。相反，对于增量信徒来说，他们对技术驱动的工作转型不安全感的增强刺激了他们的掌控。我们的双路径模型通过涉及酒店、旅行社和航空公司的1262名参与者的五项研究得到验证。研究结果为寻求有效管理员工负责的旅游和酒店组织提供了理论意义和实践见解，从而在智能技术快速发展的时代促进自下而上的组织变革。

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引用次数: 0

Seeing AI as human or machine? Effects of transparency, valence, and readability on review summary helpfulness 将人工智能视为人类还是机器？透明度、效价和可读性对综述摘要有用性的影响

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-11 DOI: 10.1016/j.tourman.2025.105305

Yerin Yhee, Chulmo Koo

The rise of generative AI has transformed online information processing, particularly in consumer decision-making. This study examines how AI-powered review summaries, such as those on TripAdvisor, influence user perceptions and decision-making. Grounded in the Computers Are Social Actors (CASA) theory, we explore how AI perception (human-like vs. machine-like) affects the helpfulness of AI-generated summaries. Additionally, we investigate the roles of information transparency as AI characteristics and review summary valence and readability as contextual moderators. Using an experimental design across five studies, we analyze the serial mediation effect of AI perception on behavioral intentions via perceived helpfulness. Findings contribute to the understanding of generative AI’s role in digital consumer interactions, offering theoretical and practical insights into AI-generated information’s impact on decision-making. This research advances knowledge in hospitality, consumer behavior, and AI adoption, providing implications for AI transparency and user engagement in online review platforms.

生成式人工智能的兴起改变了在线信息处理，尤其是在消费者决策方面。本研究考察了人工智能评论摘要（如TripAdvisor上的评论摘要）如何影响用户的看法和决策。在计算机是社会行动者（CASA）理论的基础上，我们探讨了人工智能感知（类人与类机器）如何影响人工智能生成的摘要的有用性。此外，我们研究了信息透明度作为人工智能特征的作用，并审查了摘要效价和可读性作为上下文调节因子。采用五项研究的实验设计，我们分析了人工智能感知通过感知帮助性对行为意图的串行中介效应。研究结果有助于理解生成式人工智能在数字消费者互动中的作用，为人工智能生成的信息对决策的影响提供理论和实践见解。这项研究推进了酒店业、消费者行为和人工智能采用方面的知识，为人工智能透明度和在线评论平台的用户参与度提供了启示。

引用次数: 0

Empathy order effects on shaping GenAI online complaint management in tourism 共情顺序对GenAI旅游在线投诉管理的影响

IF 12.4 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management

Pub Date : 2025-09-09 DOI: 10.1016/j.tourman.2025.105304

Xing'an Xu , Najuan Wen , Ruiying Cai

Recent studies have illuminated the potential of generative artificial intelligence (GenAI) to influence customer behavior in tourism and hospitality. However, effective strategies for using GenAI to manage online customer complaints remain underexplored. This research examines how GenAI's empathy order (affective/cognitive vs. cognitive/affective) affects customer satisfaction and attitudes. Study 1 found that integrating both empathy types leads to higher satisfaction and more positive attitudes than using either type alone. Study 2 demonstrated that in support-seeking scenarios, both empathy orders elicited comparable satisfaction and attitudes, whereas in solution-seeking scenarios, the cognitive/affective empathy order was rated higher than the affective/cognitive order. Study 3 indicated that perceived competence and perceived warmth mediate these effects. This study deepens understanding of GenAI in online complaint management and offers actionable insights for leveraging empathy in online customer interactions.

最近的研究已经阐明了生成式人工智能（GenAI）在影响旅游和酒店业客户行为方面的潜力。然而，使用GenAI管理在线客户投诉的有效策略仍未得到充分探索。本研究探讨GenAI的共情顺序（情感/认知vs.认知/情感）如何影响客户满意度和态度。研究1发现，与单独使用任何一种移情类型相比，整合两种移情类型会带来更高的满意度和更积极的态度。研究2表明，在支持寻求情境中，共情顺序对满意度和态度的影响相当，而在解决寻求情境中，认知/情感共情顺序的评价高于情感/认知顺序。研究3表明，感知能力和感知温暖介导了这些效应。本研究加深了对GenAI在在线投诉管理中的理解，并为在在线客户互动中利用同理心提供了可操作的见解。

引用次数: 0

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