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This study aims to review the diversified existing literature on digital tourism from 2002 to 2023 using bibliometric analysis to present a holistic review of the current scientific structure of digital tourism and sets the future research agenda.

A detailed search of 646 SSCI articles collected from the Web of Science Core Collection (WOSCC) database was analysed through CiteSpace.

The findings indicate that developed countries are at the core of the co-authorship network, although developing countries represented by China increasingly contribute valued research findings. The conceptual structure of digital tourism mainly evolves from exploration (2002–2006), and acceleration (2007–2014), to diversification (2015-2023), with the most recent focus on consumer-oriented value creation and potential technological risks. Three well-established thematic groups have been identified, namely, technological innovation and application, destination digital management and consumer value creation. Constructive insights for future research are also offered, including digital scenarios, digital production and digital governance.

The research helps scholars and practitioners grasp the current issues and needs of digital tourism and provides a guide for policymakers in the tourism industry who seek to intelligently improve tourism performance.

This study thoroughly evaluates 22 years of digital tourism literature through bibliometric analysis. It creates a framework for understanding how digital tourism is theorised and developed and indicates future research directions.

本篇论文旨在使用文献计量法梳理2002–2023年间的数字旅游研究, 提出整体知识架构和未来研究议程。

本篇论文运用CiteSpace对从Web of Science Core Collection (WOSCC)数据库中检索得到的646篇SSCI文献进行分析。

（1）发达国家处于作者合作网络的核心位置, 而以中国为代表的发展中国家持续产出有影响力的研究成果; （2）数字旅游的概念结构演化经历三个阶段：探索期（2002–2006年）、加速期（2007–2014年）以及多样化（2015–2023年）, 其中新兴研究热点为顾客导向的价值创造和潜在技术风险; （3）数字旅游研究主题分为三个类型, 即技术创新和应用、目的地数字化管理和顾客价值创造; （4）未来研究方向包括数字情境、数字生产和数字监管。

本篇论文有助于学界和业界人士掌握数字旅游产业的现状和需要, 并为政策制定者提供数智化提升旅游业绩效的参考。

本篇论文通过文献计量法系统回顾了22年间的数字旅游文献, 并进一步提出包含数字旅游演化和未来研究前沿的理论框架。

Este estudio tiene como objetivo revisar la diversa literatura existente sobre turismo digital desde 2002 hasta 2023 utilizando un método de análisis bibliométrico para revisar de manera integral la estructura científica actual del turismo digital y desarrollar una agenda de investigación futura.

A partir de una búsqueda detallada de 646 artículos del SSCI recogidos en la colección principal de Web of Science (WOSCC), se analizó la base de datos mediante CiteSpace.

Los resultados muestran que los países desarrollados constituyen el núcleo de la red de coautoría, mientras que los países en desarrollo representados por China también contribuyen cada vez más con valiosos resultados de investigación. La estructura conceptual del turismo digital evoluciona principalmente desde la exploración (2002–2006), y la aceleración (2007–2014), hasta la diversificación (2015–2023), centrándose más recientemente en la creación de valor orientada al consumidor y en los posibles riesgos tecnológicos. Se han identificado tres grupos temáticos bien establecidos, a saber, innovación y aplicación tecnológicas, gestión digital de destinos y creación de valor para el consumidor. También se ofrecen ideas constructivas para futuras investigaciones, como los escenarios digitales, la producción y la gobernanza digitales.

La investigación ayuda a estudiosos y profesionales a comprender los problemas y necesidades actuales del turismo digital y proporciona una guía para los responsables políticos del sector turístico que pretenden mejorar de forma inteligente los resultados del turismo.

Este estudio evalúa exhaustivamente 22 años de literatura sobre turismo digital mediante un análisis bibliométrico. Crea un marco para comprender cómo se teoriza y desarrolla el turismo digital e indica futuras direcciones de investigación.

This paper aims to provide a critical reflection on the experience design of the lifestyle communities in the hospitality and tourism industry. Specifically, this paper proposes a conceptual model that governs experience design in creating unique and memorable experiences for lifestyle communities.

This paper is based on a critical analysis of emerging phenomena, related literature and researchers’ experiences and insights.

The lifestyle community is conceptualized as a group of people who share a specific interest, value or activity and the type of its existence can be classified as physical, virtual or hybrid. As the importance of experience design has been highlighted in the hospitality and tourism industry, the study provides the guest experience design framework of lifestyle communities that suggests an operationalization of experience design that touches shared values of customers within lifestyle communities.

This study introduces a framework that highlights the role of experience design in the development of lifestyle communities, thereby enriching the emerging body of knowledge. Additionally, the research illustrates how lifestyle communities diverge from traditional hospitality business models by using distinctive positioning strategies.

This study provides practical implications on how to capture the growing number of customers represented by lifestyle communities in the future. A deep understanding of frameworks may be crucial to establishing the experience design of lifestyle communities to correspond to the future of the hospitality and tourism industry.

This study remarks an initial attempt to provide a critical reflection of a rising contemporary issue: experience design and lifestyle communities. Conceptualization through a profound reflection of the issue offers insights to define existing phenomena and suggestions to capture future opportunities and actual management. Furthermore, future research directions in hospitality and tourism are elucidated by the provided conceptual frameworks.

Through a theoretical lens of psychological ownership, this study aims to investigate how technology mindfulness may stimulate metaverse tourism users’ feelings of individual psychological ownership, aesthetic value and conversational value, which in turn fosters intention to engage in prosocial behaviors.

The study used a scenario-based survey that allowed U.S.-based participants to create their own avatars and imagine using their avatars to explore heritage sites in the metaverse. Structural equality modeling was applied for data analysis.

The results from 357 valid responses indicate that technology mindfulness arouses tourists’ individual psychological ownership, aesthetic value, conversational value and prosocial behavioral intentions. The moderating role of biospheric value orientation on willingness to donate and intention to volunteer is investigated.

The research sheds light on the significance of technology mindfulness, conversational value and psychological ownership perspectives in the metaverse, which have been previously overlooked. The authors used a scenario-based survey for mental stimulation due to current metaverse technology limitations.

The study is one of the first to explore the possibility of encouraging prosocial behaviors using metaverse-facilitated technology. The research offers guidelines to engage hospitality and tourism customers in the metaverse that can blend their virtual experiences into the real world.

This study represents one of the pioneering efforts to gain an in-depth understanding of the application of metaverse in triggering prosocial behavior toward heritage sites, explained via a technology mindfulness-driven model with a psychological ownership perspective.

This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.

The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.

The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.

This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.

For privacy protection, federated learning based on data separation allows machine learning models to be trained on remote devices or in isolated data devices. However, due to the limited resources such as bandwidth and power of local devices, communication in federated learning can be much slower than in local computing. This study aims to improve communication efficiency by reducing the number of communication rounds and the size of information transmitted in each round.

This paper allows each user node to perform multiple local trainings, then upload the local model parameters to a central server. The central server updates the global model parameters by weighted averaging the parameter information. Based on this aggregation, user nodes first cluster the parameter information to be uploaded and then replace each value with the mean value of its cluster. Considering the asymmetry of the federated learning framework, adaptively select the optimal number of clusters required to compress the model information.

While maintaining the loss convergence rate similar to that of federated averaging, the test accuracy did not decrease significantly.

By compressing uplink traffic, the work can improve communication efficiency on dynamic networks with limited resources.