Search results

This study aims to provide an overview of the development of tourism information technology from a macro perspective of the chronological lineage of tourism and information technology from its origins to the present. This study also explores the progression of tourism information technology, its implications and its future directions based on a macro environmental analysis framework comprising political, economic, social, technological, environmental and legal perspectives.

This study serves as a valuable connection between theoretical knowledge and practical application, combining the experiences of academic researchers and industry practitioners to thoroughly examine the progress and developments in tourism information technology. This research also identifies critical points in the domain to provide a unified and comprehensive explanation that aligns with the current research findings.

This research reveals the continuous timeline of tourism and information technology development. It discusses the origins, progress and interactions of tourism and information technology, revealing the structural political, economic, social, technological, environmental and legal drivers of tourism information technology. This paper also presents suggestions for future agendas on the basis of a compendium and outlook of influences and implications for the domain.

Findings of this study set the foundation for a comprehensive analysis of the transformative influence of information technology on tourism and provide a contextual framework and insightful future agenda guide for subsequent academic and industry exploration and analysis of tourism information technology.

本文从宏观视角回顾了旅游信息技术从起源至今的发展历程。研究基于政治、经济、社会、技术、环境和法律 维度的综合环境分析框架, 探讨了旅游信息技术的发展、影响和未来方向。

本研究构建了理论知识和实际应用之间的重要纽带, 结合学术研究人员和行业从业者的经验, 深入审视了旅游信息技术的进展和发展。它还确定了该领域的关键要点, 以提供一个与现有研究成果相互呼应的统一且全面的解释。

这项研究揭示了旅游和信息技术发展的连续时间线进程, 讨论了旅游和信息技术的起源、进展和互动, 揭示了政治、经济、社会、技术、环境和法律驱动因素对旅游信息技术的结构性影响。本文还在对该领域的影响和启示进行梳理和展望的基础上, 提出了关于未来议程的建议。

本研究的结果为全面分析信息技术对旅游的变革性影响奠定了基础, 并为学界和业界后续对旅游信息技术的探索和分析提供了背景框架和具有洞察力的未来议程指南。

Esta investigación ofrece una visión general del desarrollo de la tecnología de la información turística desde una perspectiva macro de la evolución cronológica del turismo y la tecnología de la información desde sus orígenes hasta la actualidad. Explora el progreso de la tecnología de la información turística, sus implicaciones y sus futuras direcciones basándose en un marco de análisis macroambiental que comprende perspectivas políticas, económicas, sociales, tecnológicas, medioambientales y legales.

Este estudio conecta el conocimiento teórico y la aplicación práctica combinando las experiencias de investigadores académicos y profesionales del sector, para examinar a fondo los avances y la evolución de la tecnología de la información turística. Asimismo, identifica los puntos críticos del ámbito de estudio para ofrecer una explicación unificada y exhaustiva que se ajuste a los resultados de la investigación actual.

Esta investigación revela la continua evolución cronológica del desarrollo del turismo y la tecnología de la información. Analiza los orígenes, el progreso y las interacciones del turismo y la tecnología de la información, revelando los motores estructurales políticos, económicos, sociales, tecnológicos, medioambientales y jurídicos de la tecnología de la información turística. También presenta sugerencias para agendas de investigación a partir de un compendio y una perspectiva de las influencias e implicaciones en este ámbito.

Las conclusiones de este estudio sientan las bases para un análisis exhaustivo de la influencia transformadora de la tecnología de la información en el turismo y proporcionan un marco contextual y una esclarecedora guía de agenda de investigación para la posterior exploración y análisis académico e industrial de la tecnología de la información en el turismo.

Existing tourism review articles have limited review topics and cover a relatively short period. This review paper aims to extend the coverage of the previous literature and enhances the completeness of tourism-related studies to provide comprehensive tourism-related literature from 1945 (World War II onward) to 2022. Specifically, this paper reveals the major research themes present in published tourism research during this time period and highlights the evolution of tourism research from the preliminary phase, the transversal phase, to the growth phase.

The present study visualizes tourism research through networks of coauthors and their countries and regions, cocitation analysis of keywords and explores the thematic evolution of tourism research after the World War II (i.e., 1945–2022) from Web of Science and Google Scholar through bibliometric analysis.

Findings reveal that the themes of tourism research in the past years can be divided into seven major research themes. The tourism research evolution from World War II to 2022 can be categorized into three stages: preliminary (1945–1970), transversal (1971–2004) and growth (2005–2022). In addition, the research themes of tourism are not static but evolve according to the dynamics of the society and the industry, and that seven main research themes have been formed, namely, “heritage tourism,” “medical tourism,” “adventure tourism,” “dark tourism,” “sustainable tourism,” “rural tourism” and “smart tourism.”

The present study expands and refines the comprehensive literature in tourism research, as well as reveals the trends and dynamics in tourism research through network analysis and thematic evolution research methods.

现有的旅游评论文章在审查主题方面有限, 并且涵盖的时间相对较短。本综述文章扩展了先前文献的涵盖范围, 增强了与旅游相关研究的完整性, 提供了从1945年（第二次世界大战之后）到2022年的全面旅游相关文献。具体而言, 本文揭示了此期间发表的旅游研究中的主要研究主题, 并突出了旅游研究从初步阶段、横向阶段到增长阶段的演变。

本研究通过共同作者及其国家的网络、关键词的共同引用分析, 将旅游研究可视化, 并探索二战后旅游研究的主题演变。本研究通过文献计量学分析, 将 Web of Science (WoS) 和 Google Scholar 中的旅游研究（即 1945–2022 年）可视化。

研究结果显示, 过去几年的旅游研究主题可分为七大研究主题。从第二次世界大战到 2022 年的旅游研究演变可分为三个阶段：初步阶段（1945–1970 年）、横向阶段（1971–2004 年）和成长阶段2005–2022 年）。此外, 旅游的研究主题并不是静态的, 而是根据社会和行业的动态而演变, 形成了七个主要研究主题, 即“遗产旅游”、“医疗旅游”、“冒险旅游”、“黑暗旅游”、“可持续旅游”、“乡村旅游”和“智慧旅游”。

本研究通过网络分析和主题演变研究方法扩展和完善了旅游研究方面的综合文献, 并揭示了旅游研究的趋势和动态。

Los artículos de revisión existentes sobre turismo tienen temas de revisión limitados y cubren un periodo relativamente corto. Este artículo de revisión amplía la cobertura de la bibliografía anterior y mejora la exhaustividad de los estudios relacionados con el turismo para ofrecer una bibliografía exhaustiva sobre el turismo desde 1945 (Segunda Guerra Mundial en adelante) hasta 2022. En concreto, este documento revela los principales temas de investigación presentes en la investigación turística publicada durante este periodo de tiempo y destaca la evolución de la investigación turística desde la fase preliminar, la fase transversal, hasta la fase de crecimiento.

El presente estudio visualiza la investigación turística a través de redes de coautores y sus países y regiones, análisis de co-citación de palabras clave, y explora la evolución temática de la investigación turística después de la Segunda Guerra Mundial (es decir, 1945–2022) a partir de Web of Science y Google Scholar mediante análisis bibliométricos.

Los resultados revelan que los temas de la investigación turística de los últimos años pueden dividirse en siete grandes temas de investigación. La evolución de la investigación turística desde la Segunda Guerra Mundial hasta 2022 puede clasificarse en tres etapas: preliminar (1945–1970), transversal (1971–2004) y de crecimiento (2005–2022). Además, los temas de investigación del turismo no son estáticos, sino que evolucionan según la dinámica de la sociedad y de la industria, y que se han formado siete temas principales de investigación, a saber: “turismo patrimonial”, “turismo médico”, “turismo de aventura”, “turismo oscuro”, “turismo sostenible”, “turismo rural” y “turismo inteligente”.

El presente estudio amplía y perfecciona la amplia bibliografía existente en el campo de la investigación turística, además de revelar las tendencias y la dinámica de la investigación turística mediante el análisis de redes y los métodos de investigación de evolución temática.

This study aims to explore the relationships amongst football fans’ travel motivations (FFTMs), their satisfaction (SAT), their perceived destination image (PDI) and their behavioural intentions (BIs). On the other hand, the mediating effects of SAT on the relationships among FFTMs, PDI and BIs are analyzed.

An approach based on a quantitative research method was used, and the data were gathered from Italian and British tourists who visited Istanbul, aiming to attend the Champions League Final match of Manchester City versus Inter Milan.

Based on 277 applicable surveys, Smart-PLS was conducted to test the conceptual model. The results indicated positive and meaningful relationships amongst FFTMs, SAT, PDI and Bis. Moreover, the results also demonstrated that the effect of FFTMs and PDI on BIs is mediated by SAT.

This research makes a contribution to the football tourism literature by first examining the theory of planned behaviour in conjunction with FFTMs, SAT, PDI and BIs. Furthermore, the findings of this study could offer valuable insights to assist tourism marketers in gaining a deeper understanding of FFTMs, BIs, SAT and PDI.

本研究探讨了足球迷的旅行动机、满意度 (SAT)、感知目的地形象 (PDI) 和旅游后行为(BI) 之间的关系。 另一方面, 分析了 SAT 对 FFTMs、PDI 和 BIs 之间关系的中介效应。

采用定量研究方法, 数据收集对象为前往伊斯坦布尔观看曼城对阵国际米兰的欧洲冠军联赛决赛的意大利和英国游客。

基于 277 份调查问卷, 采用Smart-PLS对概念模型进行了检验。 结果表明, 足球迷的旅行动机、满意度、目的地形象感知及旅游后行为之间存在积极且有意义的关系。此外, 结果还表明, FFTMs 和 PDI 对 BIs 的影响是由 SAT 介导的。

这项研究首先将计划行为理论与 FFTMs、SAT、PDI 和 BIs 结合起来进行检验, 为足球旅游文献做出了贡献。

Este estudio explora las relaciones entre las motivaciones de viaje de los aficionados al fútbol (FFTM), su satisfacción (SAT), su imagen percibida del destino (PDI) y sus intenciones de comportamiento (BI). Por otra parte, se analizan los efectos mediadores de la SAT en las relaciones entre las FFTM, la PDI y las BI.

Se adoptó un enfoque de investigación cuantitativa y se recopilaron datos de turistas italianos y británicos que visitaron Estambul con el objetivo de asistir al partido de la final de la Liga de Campeones entre el Manchester City y el Inter de Milán.

Sobre la base de 277 encuestas aplicables, se llevó a cabo un PLS-Smart para probar el modelo conceptual. Los resultados indicaron relaciones positivas y significativas entre los FFTM, el SAT, el PDI y los BI. Además, los resultados también demostraron que el efecto de los FFTM y el PDI sobre las BI está mediado por el SAT.

Esta investigación contribuye a la literatura sobre el turismo futbolístico al examinar por primera vez la Teoría del Comportamiento Planificado en conjunción con los FFTM, el SAT, el PDI y las BI. Además, los resultados de este estudio podrían ofrecer ideas valiosas para ayudar a los profesionales del marketing turístico a comprender mejor los FFTM, los BI, el SAT y el PDI.

Based on the advice response theory perspective, this study aims to investigate the effects of human managers and artificial intelligence (AI) systems on customer-contact employees’ aversion to AI systems in the hospitality industry. It examined the mediating role of advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility) on customer-contact employees’ aversion to AI systems.

Two scenario-based experiments were conducted (Nexperiment 1 = 499 and Nexperiment 2 = 300). Experiment 1 compared the effects of different advisor types (human managers vs AI systems) on employees’ aversion to AI systems. Experiment 2 investigated the mediating role of advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility).

The results showed employees tended to prioritize advice from human managers over output from AI systems. Moreover, advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility) played mediating roles in the relationship between advisor type characteristics and employees’ aversion to AI systems.

These findings contribute to the understanding of AI system aversion and provide theoretical insights into management practices involving customer-contact employees who interact with AI technology in the hospitality industry.

The primary contribution of this study is that it enriches the literature on employee aversion to AI systems by exploring the dual mediators (advice content characteristics and advice delivery) through which advisor type characteristics affect AI system aversion.

Along with the development of the robotics industry, service robots have been gradually used in the hospitality industry. Nevertheless, service robot categorization and the fulfillment of the cognitive and emotional needs of consumers by hotel service robots have yet to be fully explored. Hence, the purpose of this study are to categorize hotel service robots, to explore consumers’ robot hotel experience, to identify the consumers’ preference of hotel service robot in general, to reveal consumers’ preference for hotel service robots based on their fulfillment of emotional needs and to examine the completion of cognitive–analytical and emotional–social tasks.

Through in-depth interviews with technology managers and questionnaire survey among consumers who have and have not had robot hotel stay experience to achieve the aforementioned research objectives.

Findings of in-depth interviews show that service robots can be categorized as check-in/out robots, artificial intelligence (AI) robots and service delivery robots. Results of questionnaire survey indicate that consumers prefer non-humanoid robots (n = 213, p = 47.87%) among check-in/out robots, the Xiaodu Smart Display (n = 163, p = 36. 63%) among the AI robots and the machine-shaped robot porter (I) (n = 178, p = 40.00%) among the service delivery robots.

This study provides implications, such as the adoption of robot-shaped AI with a screen display, to hotel managers to meet the needs of consumers regarding the completion of cognitive–analytical and emotional–social tasks of robots.

This study extends uncanny valley theory by identifying preference for the shape and functions of different categories of service robots and contributes to the limited literature on hotel robots.

A substantial body of literature discusses the motivations and intentions behind participation in hospitality and tourism (HT). However, a coherent framework for systematically studying the antecedents, interactions and differences of non-participation is lacking. This paper aims to comprehensively identify the mechanisms behind non-participation in HT activities by conducting a critical review focusing on unequal rights.

This study commences by focusing on a review of research on HT constraints, drawing upon the theory–context–method framework. Subsequently, a critical evaluation is adopted to clarify the constraints at different levels within the socio–ecological model (SEM) and explore the underlying mechanisms from the perspective of substantive rights within self-determination theory.

This study identifies the most common theories and methods related to non-participation in HT and explores features of non-participating groups across different countries. In addition, the SEM facilitates the coding of reasons for non-participation in HT into 40 initial concepts, 14 categories and 5 levels. The non-participation of HT model (NPHTM) recognizes three interactive mechanisms of rights inequality: autonomy, relatedness and competence rights.

Theoretically, this study integrates the internal negotiation process with the external opportunity inequality, extending the existing research. The identified constraints facilitate qualitative coding and the identification of quantitative variables for future studies. The proposed NPHTM framework deepens understanding of individual−environment interactions and extends to other domains. Practically, this study enables all HT stakeholders to develop targeted strategies for effectively promoting participation from diverse perspectives.

The research pioneers the review of mechanisms behind non-participation in HT by considering rights inequality as the core context. The concepts and categories within the SEM assist in targeted promotion efforts. The proposed NPHTM analyzes non-participants’ underlying mechanisms, external effects and individual rights of non-participants, thereby extending the research knowledge base.

With the disruptive evolution of artificial intelligence (AI), the roles of robotics in hospitality and tourism are shifting rapidly from automatic to emotional works. Although academics have focused on examining robotic applications in hospitality and tourism, concrete images of the different roles of robots are unclear. Thus, this study aims to systematically aggregate and evaluate existing robotic technology-related studies published in Social Science Citation Index-listed hospitality and tourism journals to link the fragmented knowledge and provide an up-to-date overview of robotic technology in hospitality and tourism.

This study retrieved 134 robotic technology-related articles and used descriptive and content analyses to analyze the retrieved papers thoroughly.

The top keyword identified was service robot. Robotic technologies are categorized into AI-supplemented, AI-generated, robotic technology anthropomorphism (RTA)-facilitated and RTA-mediated.

Future studies can consider exploring service robots further from the perspectives of suppliers in tourism. A more comprehensive categorization of robotic technologies is also recommended.

This study contributes to the robotic research realm by providing a holistic view of robotic applications in hospitality and tourism research. This study also attempts to pin down the potential research directions to guide researchers in expanding future studies.

随着人工智能（AI）的颠覆性发展, 机器人在酒店和旅游业中的角色正迅速从自动化工作转变为情感性工作。尽管学术界已开始研究机器人在酒店和旅游业中的应用, 但对于机器人不同角色的具体图像仍不清晰。本研究系统性地汇总并评估了发表在社会科学引文索引（SSCI）列出的酒店与旅游期刊中的现有机器人技术相关研究, 以连接零散的知识, 并提供关于酒店与旅游业机器人技术的最新概览。

本研究检索了134篇与机器人技术相关的文章, 并采用描述性分析和内容分析方法对检索到的文章进行了深入分析。

最常见的关键词是服务机器人。机器人技术分为AI辅助、AI生成、机器人技术拟人化(RTA)促进和RTA中介。

未来的研究可以考虑从旅游供应商的角度进一步探索服务机器人。还建议对机器人技术进行更全面的分类。

本研究通过提供酒店与旅游研究中机器人应用的整体视角, 丰富了机器人研究领域。本研究还尝试明确潜在的研究方向, 为未来的研究扩展提供指导。

This study aims to delve into the ethical challenges in artificial intelligence (AI) technologies to underscore the necessity of establishing principles for ethical AI utilization in hospitality and tourism.

A narrative review of research on ethical AI across diverse realms was conducted to reflect current research progress and examine whether sufficient measures have been taken to address issues pertinent to AI utilization in hospitality and tourism.

Ethical issues including privacy concerns, detrimental stereotypes, manipulation and brutalization pertinent to AI utilization are elaborated. How AI should be properly used and managed ethically, responsibly and sustainably is suggested.

Five fine-tuned principles for regulating AI use in hospitality and tourism are proposed.

A resilient mindset, enhancement of AI context adaptability, equilibrium between development and regulation and collaborative effort of multiple stakeholders are paramount.

Through applying the AI evolution trajectory model, this study contributes to the current discourse of managing AI by proposing a framework that addresses the specific characteristics of hospitality and tourism.

Digital well-being (DWB) has become a preoccupation of society, businesses and consumers because of the proliferation of technology and the pandemic. This study aims to understand the four main problems of DWB in hospitality (DWBH): epistemology, scope, aggregation and specification by adopting integrative literature review.

The systematic analysis process develops a dynamic DWBH framework, which connects individuals and society, based on the doughnut model. A critical method is used to conceptualize the DWBH and digital behavior change interventions (DBCIs) by combining psychology and sociology.

This study provides a definition of DWBH. It identifies three antecedents (digital design, awareness and utilization advancement), three decision factors (individual psychology, category differences and external environment) and four outcomes. The doughnut model visualizes dynamic sustainability of subjective well-being, master, engagement, autonomy, relationship and mastery. DBCIs provide a comprehensive strategy: effective design is essential, personalized implementation is standard, and strategy and structure ensure success.

This study theoretically addresses issues of epistemology, scope and aggregation, expanding the existing knowledge base of DWBH and fostering theoretical integration across different disciplines. Practically, it provides actionable guidelines for stakeholders in hospitality to enhance community DWB, thereby promoting both individual and societal well-being.

This study makes a pioneering effort by extending the knowledge of DWBH with epistemology, scope, aggregation and specification. Furthermore, this study helps clarify the academic research process of DWBH, formulating management and practical strategies and improving individuals’ well-being.

Digitalization in hospitality and tourism (DHT) is undergoing a profound revolution, yet its actual effect remains overlooked. This paper aims to delve into the actual effect of DHT and uncover the underlying mechanisms that trigger its subtle success.

Triangulation was used by leveraging complementary multisource data and mixed methods to explore DHT’s challenges. First, regression and statistical analysis revealed intricate outcome of DHT at the regional level. Then, DistilBERT and nonnegative matrix factorization were used to cluster the tourists’ complaints about DHT. Finally, based on a modified diffusion innovation system and stakeholder theory, this study proposed the Integrated Framework for Digitalization Mismatch in Hospitality and Tourism (IFDMHT).

The quantitative techniques identified the subtle contributions of digitalization on demand. The qualitative technique explored the strategy–practice and demand–supply mismatches as the core of the failure.

This study synthesizes macroregional and micropsychological perspectives to examine the actual effect of DHT. An IFDMHT model is established to investigate the underlying factors influencing the subtle successes of DHT. The findings provide targeted recommendations to assist stakeholders in developing sustainable DHT.

酒店与旅游业数字化（DHT）正经历深刻变革, 但其实际影响常被忽视。本研究旨在深入探讨DHT的实际效果, 揭示其微妙成功的潜在机制。

本研究采用三角验证方法, 通过整合多源数据与混合方法探讨DHT所面临的挑战。首先, 回归分析和统计分析揭示DHT在区域层面的复杂结果; 其次, 利用DistilBERT与非负矩阵分解对游客关于DHT的投诉进行聚类分析; 最后, 基于修订的扩散创新系统与利益相关者理论, 提出了“酒店与旅游业数字化错配综合框架”（IFDMHT）。

定量方法识别了数字化对需求的微妙贡献, 定性技术则深入探讨了战略与实践、需求与供给之间的不匹配是数字化失败的核心原因。

本研究从宏观区域和微观心理学视角出发, 综合审视DHT的实际效果, 并构建了IFDMHT模型, 以探讨影响DHT微妙成功的潜在因素。研究结果为利益相关者提供了具体建议, 以推动可持续的DHT发展。