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The purpose of this study is to define metaverse tourism and to provide a viewpoint and further research regarding metaverse tourism with respect to its potential for sustainable tourism.

This study investigated the potential of the metaverse for sustainable tourism based on United Nations World Tourism Organization (UNWTO) reports, Google Trends data and previous studies including human–computer interactions, virtual reality and cognitive studies.

This research found that metaverse products and experiences could aid in expanding the range of tourism resources and support sustainable tourism by providing alternative and profitable resources. Producing licensed and profitable metaverse tourism products and experiences could increase profitability for tourism destinations and should be developed in accordance with the UNWTO Sustainable Development Goals (SDGs).

Using metaverse tourism products and experiences is a new approach to attain the SDGs. Analysis of accumulated data from further empirical studies and case studies is necessary to evaluate the effectiveness of this approach.

To the best of the authors’ knowledge, this paper is an original attempt to define metaverse tourism in the tourism and hospitality context and to consider its potential, linked to UNWTO’s SDGs. Insights from this paper could be useful for initiating further research and discussions on future metaverse tourism and sustainable tourism.

本研究的目的是定义元宇宙旅游, 并就其在可持续旅游方面的潜力提供关于元宇宙旅游的观点和进一步研究。

本研究基于联合国世界旅游组织 (UNWTO) 报告、谷歌趋势数据以及包括人机交互、虚拟现实和认知研究在内的已有相关研究, 调查了元宇宙在可持续旅游方面的潜力。

这项研究发现, 元宇宙旅游产品和体验可以帮助扩大旅游资源的范围, 并通过提供替代和有利可图的资源来支持可持续旅游。生产许可和盈利的虚拟世界旅游产品和体验可以增加旅游目的地的盈利能力, 并应根据联合国世界旅游组织可持续发展目标 (SDG) 进行开发。

使用元宇宙旅游产品和体验是实现可持续发展目标的一种新方法。未来有必要采取实证研究和案例研究的累积数据进行分析, 以评估这种方法的有效性。

本文是在旅游和酒店环境中定义元宇宙旅游并考虑其潜力的创新性尝试, 与联合国世界旅游组织的可持续发展目标相关联。本文的观点可能有助于启动关于未来虚拟世界旅游和可持续旅游的进一步研究和讨论。

La finalidad de este estudio es definir el turismo de metaverso y proporcionar un enfoque y futuras investigaciones sobre el turismo de metaverso con relación a su potencial para el turismo sostenible.

Este estudio analizó el potencial del metaverso para el turismo sostenible basándose en los informes de la Organización Mundial del Turismo (OMT) de las Naciones Unidas, en los datos de Google Trends y en estudios anteriores que incluían las interacciones entre humanos y ordenadores, la realidad virtual y los estudios cognitivos.

Esta investigación encontró que los productos y experiencias del metaverso podrían ayudar a extender la oferta de recursos turísticos y apoyar el turismo sostenible proporcionando recursos alternativos y rentables. La producción de productos y experiencias turísticas de metaverso autorizadas y rentables podría aumentar la rentabilidad de los destinos turísticos y debería desarrollarse de acuerdo con los Objetivos de Desarrollo Sostenible (ODS) de la OMT.

El empleo de productos y experiencias turísticas del metaverso es un nuevo enfoque para alcanzar los ODS. Es necesario analizar los datos acumulados de otros estudios empíricos y de casos de estudio para evaluar la eficacia de este enfoque.

Este documento es un intento original de definir el turismo del metaverso en el contexto del turismo y la hospitalidad y considerar su potencial, vinculado a los ODS de la OMT. Las ideas de este documento podrían ser útiles para iniciar más investigaciones y debates sobre el futuro turismo metaverso y el turismo sostenible.

The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual framework to support future research on advanced robot applicability.

This research reviews current cases of AI use and technology acceptance model (TAM) studies and proposes a framework, interactive technology acceptance model (iTAM), to identify key determinants that stimulate consumer perceptions of advanced robot technology acceptance.

The main constructs and types of advanced robots were identified by reviewing TAM studies and AI robots that are currently used in the tourism and hospitality industry. This research found that as technologies tested in TAM studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, examining perceived interactivity of technology has become more important for advanced robot acceptance models. The examples of advanced robot uses indicate that each machine learning application changes the robots’ task performance and interaction with consumers. Conducting experimental studies and measuring the interactivity of advanced robots are vital for future research.

To the authors’ knowledge, this is the first study on how consumers accept AI robots with machine learning applications in the tourism and hospitality industry. The iTAM framework provides fundamental constructs for future studies of what influences consumer acceptance of AI robots as innovative technology, and iTAM can be applied to empirical experiments and research to generate long-term strategies and specific tips to implement and manage various advanced robots.

旅游和酒店业机器人的机器学习：交互式技术接受模型（iTAM）–前沿研究

这项研究旨在讨论消费者如何在酒店和旅游业中接受先进的人工智能（AI）机器人, 并提供类型学和概念框架来支持有关先进机器人适用性的未来研究。

这项研究回顾了AI使用和技术接受模型（TAM）研究的当前案例, 并提出了一个框架, 即交互式技术接受模型（iTAM）, 以识别能够激发消费者对先进机器人技术接受程度的认知的关键因素。

通过回顾当前在旅游和酒店业中使用的TAM研究和AI机器人, 本文确定了高级机器人的主要结构和类型。研究发现, 由于TAM中的技术已通过高度互动的系统, 增强的功能以及更友好的用户界面进行了改进, 因此, 对于先进的机器人接受模型而言, 检查感知技术交互性已变得越来越重要。先进的机器人使用案例表明, 每个机器学习应用程序都会改变机器人的任务性能以及与消费者的互动。进行实验研究和测量高级机器人的交互性对于将来的研究来说是至关重要的方向。

这是关于消费者如何在旅游和酒店业中接受具有机器学习应用程序的AI机器人的首次研究。iTAM框架为将来的研究提供了基础结构, 以了解哪些因素会影响消费者对AI机器人作为创新技术的接受程度。iTAM亦可以用于实证实验和研究, 以提供实施和管理各种先进机器人的长期策略和具体技巧。

iTAM,机器学习,人工智能机器人, 技术接受, 感知交互性, 人工智能机器人的类型

纸张类型概念纸

概念性文章

El Machine Learning (Aprendizaje Automático) de robots en turismo y hotelería: Modelo de Aceptación de Tecnología Interactiva (iTAM): tecnología de punta

El objetivo de este estudio, es analizar la aceptación que tienen los robots avanzados de Inteligencia Artificial (IA) por parte de los consumidores de hoteles y turismo y proporcionar una tipología y un marco conceptual para apoyar la investigación futura sobre la aplicabilidad avanzada de estos robots.

Esta investigación, revisa los casos actuales de uso de IA y estudios del Modelo de Aceptación de Tecnología (TAM) y propone: el Modelo de Aceptación de Tecnología Interactiva (iTAM) para identificar los determinantes clave que estimulan las percepciones del consumidor sobre la aceptación avanzada de la tecnología de robots.

Los principales prototipos de robots avanzados se identificaron mediante la revisión de los estudios TAM y de IA sobre robots que se utilizan actualmente en la industria del turismo y la hostelería. Esta investigación, encontró que a medida que las tecnologías testadas en los estudios TAM, se han mejorado mediante la incorporación de sistemas altamente interactivos, aumentando la capacidad y mejorando la usabilidad de la interfaz; se ha vuelto más importante examinar la interactividad percibida de la tecnología para los modelos avanzados de aceptación de robots. Los ejemplos de usos avanzados de robots, indican que cada aplicación de aprendizaje automático varía el rendimiento de la tarea de los robots y la interacción con los consumidores. La realización de estudios experimentales y la medición de la interactividad de los robots avanzados son vitales para futuras investigaciones.

Este es el primer estudio sobre como los consumidores del sector turístico y hotelero aceptan los robots de IA basado en aplicaciones de machine learning (aprendizaje automático). El marco iTAM proporciona constructos fundamentales para futuros estudios sobre los factores que influyen en el consumidor a la hora de aceptar los robots de IA como tecnología innovadora. iTAM se podría aplicar a experimentos empíricos e investigaciones con el objetivo de generar estrategias a largo plazo y consejos específicos para implementar y administrar varios robots avanzados.

iTAM, Aprendizaje automático, Robot de inteligencia artificial, Aceptación de tecnología, Interactividad percibida, Tipo de robot IA

Tipo de papel Papel conceptual

This paper aims to track how ecotourism has been presented in a digital world over time using geotagged photographs and internet search data. Ecotourism photographs and Google Trends search data are used to evaluate tourist perceptions of ecotourism by developing a categorization of essential attributes, examining the relation of ecotourism and sustainable development, and measuring the popularity of the ecotourism sites.

The researchers collected geotagged photographs from Flickr.com and downloaded Google search data from Google Trends. An integrative approach of content, trend and spatial analysis was applied to develop ecotourism categories and investigate tourist perceptions of ecotourism. First, the authors investigate ecotourism geotagged photographs on a social media to comprehend tourist perceptions of ecotourism by developing a categorization of key ecotourism attributes and measuring the popularity of the ecotourism sites. Second, they examined how ecotourism has been related with sustainable development using internet search data and investigate the trends in search data. Third, spatial analysis using GIS maps was used to visualize the spatial-temporal changes of photographs and tourist views throughout the world.

This study identified three primary themes of ecotourism perceptions and 13 categories of ecotourism attributes. Interest over time about ecotourism was mostly presented as its definitions in Google Trends. The result indicates that tracked ecotourism locations and tourist footprints are not congruent with the popular regions of ecotourism Google search.

This research follows the changing trends in ecotourism over a decade using geotagged photographs and internet search data. The evaluation of the global ecotourism trend provides important insights for global sustainable tourism development and actual tourist perception. Analyzing the trend of ecotourism is a strategic approach to assess the achievement of UN sustainable development goals. Factual perspectives and insights into how tourists are likely to seek and perceive natural attractions are valuable for a range of audiences, such as tourism industries and governments.

研究目的本论文旨在探索生态旅游业在电子世界中是如何随着时间而显示出来的，文章样本为带有地理标记的图片和互联网搜索数据。本文使用生态旅游图片和谷歌趋势搜索数据来评估游客对生态旅游的感知，通过对关键要素的分类，审视生态旅游和可持续发展的关系，以及衡量生态旅游基地的受欢迎程度等方法。

本论文作者从Flickr.com上搜集地理标记图片以及从谷歌趋势上下载谷歌搜索数据。样本分析通过内容、趋势、空间上的综合分析，来开发生态旅游类别和游客对生态旅游的感知。首先，我们研究了社交媒体上的生态旅游地理标记图片以理解游客对生态旅游的感知情况，以此搭建了关键生态旅游要素的类别体系，和衡量生态旅游基地的受欢迎程度。第二，我们通过使用互联网搜索数据，检测了生态旅游如何与可持续发展相连接，以及研究了搜索数据中的趋势。第三，我们使用了GIS软件来操作空间分析，对图片的空间-时间改变和游客对世界的观点做了可视化处理。

本论文确立了三项生态旅游感知的基本主题以及13项生态旅游要素类别。生态旅游互联网随着时间演化，根据谷歌趋势上的定义，被大致地展现出来。本论文研究结果表示生态旅游地理位置和游客足迹与生态旅游谷歌搜索的热门区域不全是完全吻合的。

本论文使用地理标记图片和互联网搜索数据将生态旅游发展趋势近十年的变化描画出来。全球生态旅游趋势的评估对全球可持续旅游发展和实际游客感知方面做出重要见解启示。生态旅游趋势的分析作为一种战略方法，对UN可持续发展目标的时间起到评估作用。本论文针对游客的真实感知和意见，游客如何选择和感知自然景观，这对于很多群体，比如旅游行业和政府，都有着重要意义。

The purpose of this paper is to test if and how interactive thematic maps can encourage the formation of tourists' perceptual maps of attractions in a destination.

Data were derived from 365 online trip planners generated by users of the Amish Country web site from 1 August 2007 to 31 July 2008. Given the nature of the data set, network analysis techniques were used to analyze the data.

Network analysis findings demonstrate that the things to do (TTD) included in the interactive Heritage Trail map were more frequently bundled together in the saved trip plans than TTDs included in other sections of the web site. Further analysis suggests that some additional non‐Heritage TTDs could be included in the Heritage Trail map due to their perceptual proximity.

The findings provide evidence that interactive maps on web sites can play an important role in tourists' planning behavior, which has significant implications for online tourism marketing. The findings also provide insights as to how online behavioral data can be used to derive marketing intelligence.

This study contributes to the theoretical development of the role of interactive maps in travel planning and also illustrates the usefulness of network analysis for investigating tourism‐related issues.

Audit firm bankruptcy can have significant negative impacts on the stock prices of client firms. The purpose of this paper is to identify determinants of audit firm bankruptcy risk as measured by costs of debt.

Using audit firm data publicly available in Korea, this study empirically examines whether client portfolio, financial, and organizational characteristics are associated with the weighted average interest rates assumed by auditors.

The authors find empirical evidence that audit firms’ client portfolio characteristics, including the incidence (or number) of lawsuits against the auditor, the proportion of audit clients under surveillance, the proportion of initial audit engagements, and the proportion of listed companies of audit clients, are positively associated with the cost of debt. The authors also find several financial and organizational characteristics associated with the cost of debt.

The findings of this study suggest that client portfolio characteristics as well as financial and organizational characteristics are important determinants of the cost of debt in audit firms, and that these characteristics are different from those of firms in other industries. Identifying the determinants of audit firms’ cost of debt provides insight to regulators, client firms, and capital market participants.

This study examines the default risk of audit firms that play an important monitoring role in capital markets. By utilizing unique data about audit firms available in Korea, this study is the first study to empirically examine the effect of detailed audit firm characteristics on audit firm’s default risk.