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To test the applicability of the user-generated content (UGC) derived from social travel network sites for online reputation management, the purpose of this study is to analyze the spatial clustering of the reputable hotels (based on the TripAdvisor Best-Value indicator) and reputable outdoor seating restaurants (based on ranking indicator).

This study used data mining techniques to obtain the UGC from TripAdvisor. The Hierarchical Density-Based Spatial Clustering method based on algorithm (HDBSCAN) was used for robust cluster analysis.

The findings of this study revealed that best value (BV) hotels and reputable outdoor seating restaurants are most likely to be located in and around the central districts of the urban tourist destinations where population and economic activities are denser. BV hotels' spatiotemporal cluster analysis formed clusters of different sizes, densities and shape patterns.

This study showed that reputable hotels and restaurants (H&Rs) are concentrated within districts near historic city centers. This should be an impetus for applied research on urban investment environments.

The findings would be rational guidance for entrepreneurs and potential investors on the most attractive tourism investment environments.

There has been a lack of studies focusing on analyzing the spatial clustering of the H&Rs using UGC. Therefore, to the best of the authors’ knowledge, this study is the first to map and analyze the spatiotemporal clustering patterns of reputable hotels (TripAdvisor BV indicator) and restaurants (ranking indicator). As such, this study makes a significant methodological contribution to urban tourism research by showing pattern change in H&Rs clustering using data mining and the HDBSCAN algorithm.

为了测试社交旅游网站 (STNS) 的用户生成内容 (UGC) 对在线声誉管理 (ORM) 的适用性, 本研究分析了知名酒店的空间聚类（基于 TripAdvisor 最佳价值指标) 和信誉良好的户外座位 (ODS) 餐厅(基于排名指标)。

该研究使用数据挖掘技术从 TripAdvisor 获取 UGC。 基于（HDBSCAN）算法的分层基于密度的空间聚类方法用于鲁棒聚类分析。

调查结果显示, 最具价值 (BV) 酒店和信誉良好的 ODS 餐厅最有可能位于人口和经济活动较为密集的城市旅游目的地的中心区及其周边地区。 BV 酒店的时空聚类分析形成了不同大小、密度和形状模式的聚类。

目前的文献扔缺乏专注于分析利用 UGC 的酒店和餐厅 (H&R) 空间聚类的研究。 因此, 本研究首次绘制并分析了知名酒店（TripAdvisor BV 指标）和餐厅（排名指标）的时空聚类模式。 因此, 本研究通过利用数据挖掘和 HDBSCAN 算法显示 H&Rs 聚类的模式变化, 为城市旅游研究做出了重要的方法论贡献。

这项研究表明, 著名的 H&R 集中在历史悠久的市中心附近的地区。 这应该是对城市投资环境的应用研究的推动力。

研究结果将为企业家和潜在投资者提供最具吸引力的旅游投资环境的理性指导。

The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering approaches to identify POIs in various application scenarios.

The study, first, extracts photo metadata from Flickr, such as upload time, location and user. Then, photo uploads are assigned to latent POIs by density-based spatial clustering of applications with noise (DBSCAN) and k-means clustering algorithms. Finally, association rule analysis (FP-growth algorithm) and sequential pattern mining (generalised sequential pattern algorithm) are used to identify tourists’ behavioural patterns.

The approach has been demonstrated for the city of Munich, extracting 13,545 photos for the year 2015. POIs, identified by DBSCAN and k-means clustering, could be meaningfully assigned to well-known POIs. By doing so, both techniques show specific advantages for different usage scenarios. Association rule analysis revealed strong rules (support: 1.0-4.6 per cent; lift: 1.4-32.1 per cent), and sequential pattern mining identified relevant frequent visitation sequences (support: 0.6-1.7 per cent).

As a theoretic contribution, this study comparatively analyses the suitability of different clustering techniques to appropriately identify POIs based on photo upload data as an input to association rule analysis and sequential pattern mining as an alternative but also complementary techniques to analyse tourists’ spatial behaviour.

From a practical perspective, the study highlights that big data sources, such as Flickr, show the potential to effectively substitute traditional data sources for analysing tourists’ spatial behaviour and movement patterns within a destination. Especially, the approach offers the advantage of being fully automatic and executable in a real-time environment.

The study presents an approach to identify POIs by clustering photo uploads on social media platforms and to analyse tourists’ spatial behaviour by association rule analysis and sequential pattern mining. The study gains novel insights into the suitability of different clustering techniques to identify POIs in different application scenarios.

本论文旨在分析图片分享平台Flickr对截取游客空间动线信息和景点（POI）游览行为的适用性, 并且对比最知名的几种聚类分析手段, 以确定不同情况下的POI。

本论文首先从Flickr上摘录下图片大数据, 比如上传时间、地点、用户等。其次, 本论文使用DBSCAN和k-means聚类分析参数来将上传图片分配给POI隐性变量。最后, 本论文采用关联规则挖掘分析（FP-growth参数）和序列样式勘探分析（GSP参数）以确认游客行为模式。

本论文以慕尼黑城市为样本, 截取2015年13,545张图片。POIs由DBSCAN和k-means聚类分析将其分配到有名的POIs。由此, 本论文证明了两种技术对不同用法的各自优势。关联规则挖掘分析显示了显著联系（support：1%−4.6%；lift：1.4%−32.1%）, 序列样式勘探分析确立了相关频率游览次序（support：0.6%−1.7%。

本论文的理论贡献在于, 根据图片数据, 通过对比分析不同聚类分析技术对确立POIs, 并且证明关联规则挖掘分析和序列样式勘探分析各有千秋又互相补充的分析技术以确立游客空间行为。

本论文的现实意义在于, 强调了大数据的来源, 比如Flickr,证明了其对于有效代替传统数据的潜力, 以分析在游客在一个旅游目的地的空间行为和动线模式。特别是这种方法实现了实时自动可操作性等优势。

本论文展示了一种方法, 这种方法通过聚类分析社交媒体上的上传图片以确立POIs, 以及通过关联规则挖掘分析和序列样式勘探分析来分析游客空间行为。本论文对于不同聚类分析以确立不同适用情况下的POIs的确立提出了独到见解。

This study aims to provide a comprehensive analysis of the current privacy concerns in the tourism industry by uncovering the key factors leading to such concerns (i.e. smart public services, cyber security issues, consumer behaviour and governance). Using papers from multiple sources, the relationship between technology advancements and tourist’s privacy concerns has been established.

This study adopted a machine learning-based systematic literature review approach to find out the clusters. The study analysed 68 papers using the topic modelling approach. A four-cluster solution was considered to be most representative of the extant literature identified using bibliographic coupling. Finally, content analysis of the selected literature has been performed.

This study identified four factors majorly leading to privacy concerns amid increasing technological advancements. Moreover, these factors were found to have a dyadic relationship with technological advancements. To everyone’s amazement, sustainable tourism was also found to have led to privacy concerns among tourists along with a lack of governance and cyber security issues. Furthermore, cluster-wise future research directions are provided based on the content analysis.

This study contributes to the literature by systematically reviewing and identifying the four dimensions leading to privacy concerns. To the best of the authors’ knowledge, the study done is the only attempt to synthesize the extant literature on tourists’ privacy concerns using an unbiased scientific approach.

本研究对旅游业当前的隐私问题进行了全面分析, 以揭示导致此类担忧的关键因素（即智能公共服务、网络安全问题、消费者行为和治理）。 通过考察来自多方渠道的现有文献, 本研究确立了技术进步与游客隐私问题之间的关系。

本研究采用基于机器学习的系统文献综述方法来找出聚类。 该研究使用主题建模方法分析了 68 篇文章。四聚类解决方案是现有文献中最具代表的 文献分类方法。最后, 本研究对所选文献进行了内容分析。

这项研究确定了在技术进步不断增加的情况下主要导致隐私问题的四个因素。 此外, 这些因素被发现与技术进步有二元关系。 本研究还发现可持续旅游业引发了游客对隐私的担忧以及缺乏治理和网络安全问题。 此外, 通过基于内容的分析, 本研究提供了未来的聚类研究方向。

本研究对现有文献的贡献在于通过系统地文献综述和分析以确定导致隐私问题的四个维度。该研究是基于公正的科学方法综合现有游客隐私问题文献的首度尝试。

Este estudio proporciona un análisis exhaustivo de la actual preocupación por la privacidad en el sector turístico, poniendo al descubierto los factores clave que la generan (los servicios públicos inteligentes, los problemas de ciberseguridad, el comportamiento de los consumidores y la gobernanza). Gracias al uso de artículos de múltiples fuentes, se ha establecido la relación entre los avances tecnológicos y la preocupación de los turistas por la privacidad.

Este estudio adoptó un enfoque de revisión sistemática de la literatura basado en el aprendizaje automático para descubrir los conglomerados. El estudio analizó sesenta y ocho artículos utilizando el enfoque de modelización de temas. Se consideró que una solución de cuatro conglomerados era la más representativa de la literatura existente identificada mediante el acoplamiento bibliográfico. Por último, se realizó un análisis de contenido de la bibliografía seleccionada.

En este estudio se identificaron cuatro factores principales que suscitan inquietud por la privacidad en medio de los crecientes avances tecnológicos. Además, se descubrió que estos factores tienen una relación diádica con dichos avances. Para sorpresa de todos, se halló que el turismo sostenible, junto con la falta de gobernanza y los problemas de ciberseguridad, también suscitan entre los turistas preocupaciones por su privacidad. Finalmente, el análisis de contenido ofrece orientaciones para futuras investigaciones.

Este estudio contribuye a la literatura haciendo una revisión sistemática e identificando las cuatro dimensiones que conducen a la preocupación por la privacidad. Este estudio es el único intento de sintetizar la bibliografía existente sobre la preocupación de los turistas por su privacidad utilizando un enfoque científico imparcial.

Mobile services are expanding rapidly, and in this tremendously dynamic environment, companies should provide value-added services to meet users’ demand. In this context, the study aims to determine whether different user groups exist in this market and profile them.

Based on the information of 568 mobile service users, a research was developed in the context of a mature mobile services market – Spain. A behavior-based cluster analysis is developed by means of confirmatory factor analysis (CFA), followed by two-step clustering. Then, an ANOVA and post hoc Tukey tests are conducted to confirm differences among the obtained clusters.

The study findings show that mobile service users cannot be perceived as a homogenous group, as different users with different behaviors coexist in this market. More specifically, four behavior-based segments emerge in the mobile service sector: “service connoisseurs,” “uninvolved pragmatics,” “potential switchers” and “delighted loyal”; “potential switchers” being the most challenging segment for mobile service companies.

This study reports mobile service users’ heterogeneity; and in turn, mobile service managers should consider customers as four different types, instead of considering them as one single customer.

Los servicios móviles se están expandiendo rápidamente y en este entorno tremendamente dinámico, las compañías de servicios móviles deberían de proporcionar servicios de valor añadido para satisfacer la demanda de sus usuarios. En este contexto, esta investigación tiene como objetivo determinar si existen diferentes grupo de usuarios en este mercado y aportar su pefil.

Sobre la base de información de 568 usuarios de servicios móviles se lleva a cabo una investigación en el contexto de un mercado de servicios móviles maduro –España-. Se lleva a cabo un análisis clúster basado en el comportamiento de los usuarios, mediante un análisis factorial confirmatorio (CFA), seguido de un análisis clúster bi-etápico. A continuación, se realizan un test Anova y un test pos hoc de Tuckey para confirmar las diferencias entre los grupos obtenidos.

Los resultados de la investigación muestran que los usuarios de servicios móviles no pueden ser percibidos como un grupo homogéneo, ya que en este mercado coexisten diferentes usuarios con diferentes comportamientos. Más específicamente, cuatro segmentos de usuarios surgen en el sector de los servicios móviles basados en su comportamiento: “conocedores del servicio”, “pragmáticos no involucrados”, “potenciales cambiadores de servicio” y “leales encantados”, siendo “potenciales cambiadores de servicio” los que presentan un mayor desafío las empresas de servicios móviles.

Este estudio muestra la heterogeneidad de los usuarios de servicios móviles, y por tanto, los gestores de los servicios móviles deben considerar a sus clientes como cuatro tipos diferentes, en lugar de considerarlos como un único tipo de cliente.

移动服务正在迅速扩张，在这个巨大的动态环境中，企业应该提供增值服务来满足用户的需求。在此背景下，本研究旨在确定该市场是否存在不同的用户群体，并对其进行分析。

基于568名移动服务用户的信息，在一个成熟的移动服务市场（西班牙）的背景下开展了本次研究。通过确认性因子分析（CFA）进行基于行为的聚类分析，然后进行两步聚类。最后，方差分析和事后Tukey检验被用于确认获得的聚类之间的差异。

研究结果表明，移动服务用户不能被看作是一个同质的群体，因为在这个市场上共存着不同的用户，他们具有不同的行为。具体来说，移动服务领域可以划分为基于用户行为的四个细分市场："服务行家"、"不参与的实用主义者"、"潜在的转换者 "和 "愉悦的忠诚者"；其中，"潜在的转换者 "是对移动服务企业来说最具挑战性的细分市场。

本研究报告了移动服务用户的异质性；反过来，移动服务管理者应该考虑把客户划分为四种不同的类型，而不是将他们视为一个单一的整体。

The purpose of this paper is to analyse the determinants of hotel profitability through the application of a least squares path modelling (PLS) and to deepen the study of their heterogeneity through clustering techniques.

An eclectic model that incorporates the dimensions identified as determinants of profitability in the previous literature is estimated by means of PLS. Subsequently, in a second stage the hotels are classified using clustering techniques to study which combination of hotel characteristics, location, competitive environment and tourist destination achieve higher profitability.

The results show that hotel characteristics, hotel location, competitive environments and tourist destination factors impact on the hotel performance. Also, the results highlight that the eclectic model proposed have to be further developed in future studies, incorporating more theoretical constructs and variables.

The results contribute to identify and quantify the determinants of profitability in the hotel sector and which combination of them achieve higher profitability. Moreover, this paper provides new evidence to support an eclectic theory of profitability determinants in the hotel sector. Consequently, this paper claims the need of a deeper integration of different areas of expertise to analyse hotel profitability.

This research is the first empirical evidence that proposes an eclectic model and uses clustering techniques in the study of profitability differences considering simultaneously hotel characteristics and its location. The variables used allow to measure different aspects of the attributes of the hotel and its location.

本论文旨在借助偏最小二乘回归（PLS）方法来分析酒店盈利性的决定因素, 以及通过聚类分析来研究决定因素的多样性。

本论文首先借助现有文献中盈利性各种决定因素来构建折衷模型, 并采用PLS来估算这个折衷模型。然后, 本论文通过聚类分析法将酒店分类, 从而研究决定哪种组合, 包括酒店特点、地理位置、竞争环境、和旅游目的地等特性, 达到最高盈利。

酒店特点、地理位置、竞争环境、和旅游目的地影响了酒店整体绩效。此外, 本论文还指出这个折衷模型应该进一步发展, 建议未来研究中应该囊括更多理论结构和变量。

本论文结果对于酒店行业盈利性决定因素的确立和量化做出贡献, 本论文还对确立酒店盈利性组合成分做出贡献。此外, 本论文结果对于酒店行业盈利性决定因素的折衷理论做出更多实践性验证。因此, 本论文提出酒店盈利性课题有必要进一步跨领域深入研究。

本研究是首篇论文提出和验证折衷模型并利用聚类分析法以研究酒店盈利性和同时考虑酒店特点和地理位置。本论文测量的变量评估了酒店及其地理位置的各项特性。

地点, 偏最小二乘法, 旅馆, 盈利能力

研究论文

This paper aims to find a way to personalize attraction recommendations for travelers. The research objective is to find a more accurate way to suggest new attractions to each traveler based on the opinions of other like-minded travelers and the traveler’s preferences.

To achieve the goal, developers have created a personalized system to generate attraction recommendations. The system considers an individual traveler’s preferences to construct a qualitative attraction ranking model. The new ranking model is the result of blending two processes: K-means clustering and the analytic hierarchy process (AHP).

The performance of the developed recommendation system has been assessed by measuring the accuracy and scalability of the ranking model of the system. The experimental results indicate that the ranking model always returns accurate results independent of the number of attractions and the number of travelers in each cluster. The ranking model has also proved to be scalable because the processing time is independent of the numbers of travelers. Additionally, the results reveal that the overall system usability is at a very satisfactory level.

The main theoretical implication is that integrating the processes of K-means and AHP techniques enables a new qualitative ranking model for personalized recommendations that deliver only high-quality attractions. However, the designed recommendation system has some limitations. First, it is necessary to manually update information about the new tourist attractions. Second, the overall response time depends on the internet bandwidth and latency.

This research contributes to the tourism business and individual travelers by introducing an accurate and scalable way to suggest new attractions to each traveler. The potential benefit includes possible increased revenue for travel agencies that offer personalized package tours and support individual travelers to make the final travel decisions. The designed system could also integrate with itinerary planning systems to plot out a journey that pinpoints what travelers will most enjoy.

This research proposes a design and implementation of a personalized recommendation system based on the qualitative attraction ranking model introduced in this article. The novel ranking model is designed and developed by integrating K-means and AHP techniques, which has proved to be accurate and scalable.

本研究主要探索如何建立个性化旅游胜地推荐模型。本研究通过分析旅游兴趣相似的游客意见和游客偏好选择, 建立一种更加准确推荐游客需要的旅游胜地方法。

为了达到研究目的, 本研究建立了一种个性化推荐旅游胜地的信息系统。其系统通过分析每个游客的旅游偏好来建设一种定性旅游胜地排名模型。这种新型模型主要通过结合以下两种分析算法：（1）K平均聚类算法（K-means clustering）（2）层次分析法（AHP）。

本研究建立的推荐信息系统经过了准确率和拓展性的测评。实验结果表明这种排名模型的准确率并不受旅游胜地多少和游客样本大小的影响。此外, 这种排名模型也具有拓展性, 因为算法时间并不受游客样本大小的影响。最后, 研究实验表明此排名模型客户体验性达到合格满意要求。

本研究的主要理论意义在于其结合了K平均聚类算法和层次分析法, 并建立了一种新型定性排名模型, 这种排名模型个性化地推荐更高质量的旅游胜地给游客。然而, 这种推荐信息系统有一些局限性。第一, 新旅游胜地的信息需要手动输入。第二, 整个系统的处理时间决定于网络带宽和延迟状况。

本研究的实践意义在于其建立了一种准确和具有拓展性的新型旅游胜地推荐模型。这种模型的潜在价值将有利于旅游机构提供定制化旅游套餐和帮助游客制定旅游计划。此外, 这种模型还可以结合旅游路线计划系统以制定更加使游客满意的旅游行程。

本研究推荐了一种基于定性旅游胜地排名模型的个性化旅游推荐模型。这种新型的排名模型结合K平均聚类算法和层次分析法, 实验证明这种模型更具准确性和拓展性。

This study aims to explore the phenomenon of sentimental tourism in Central-Eastern Europe, which is travels to places related to people’s past or their country’s past for sentimental reasons with reference to disruptive historical events (e.g. border changes and lost territories), and identify different segments within sentimental tourists.

A survey was conducted with 400 Polish sentimental tourists to compare their attitudes and behaviour when visiting a “lost” land by age and family roots. Independent samples t-tests and analysis of variance were conducted to compare the views of sentimental tourists by Borderland origin. Exploratory factor analysis was conducted to identify the underlying dimensions of destination performance. Cluster analysis was conducted to classify tourists into segments based on their perception of destination performance.

This study analysed the attitude and behaviour of sentimental tourists by age and family roots. Some significant differences were revealed in the purpose of trip, interest in heritage attractions and perception of destination performance across different groups. The study also identifies key factors of destination performance: accessibility, sentiment and infrastructure and security. Based on factor and cluster analyses, Polish sentimental tourists were divided into three types of connections: personally attached older sentimental tourists, cognitively attached younger sentimental tourists and tourists with general interests.

Different from roots tourism, sentimental tourism is unique in including tourists without personal roots but feels sentimental towards the destination based on the shared heritage of lost territories. This study shows how sentimental tourists attach to a lost land that used to belong to their country and how different perceptions of the destination have roots and non-roots tourists. Sentimental tourism in Central Europe provides a new perspective to consider the relationship between tourists and heritage places as well as tourist segmentation.

本研究旨在探讨中东欧的感伤旅游现象, 即由于破坏性历史事件 (例如国界变化、失去领土), 出于感伤原因前往与个人过去或国家过去相关的地方旅游, 并试图分辨感伤旅游游客中的细分市场。

本研究对 400 名波兰感伤旅游游客进行问券调查, 比较年龄和家庭根源不同的游客, 在游历“失落”土地时的态度和行为。本研究使用独立样本 t 检验和 ANOVA, 按年龄和是否Borderland出身的不同来比较感伤旅游游客的观点。接着进行探索性因素分析以确定目的地表现的潜在维度, 并进行聚类分析以根据游客对目的地表现的感知将其分类。

本研究按年龄和家庭根源 (是否Borderland出身) 分析了感伤旅游游客的态度和行为。不同群体在旅行目的、对遗产景点的兴趣以及对目的地表现的看法方面存在一些显着差异。本研究还确定了感伤旅游目的地表现的三个关键因素：可及性、感伤情绪以及基础设施和安全性。基于因子和聚类分析, 波兰感伤旅游者被划分为三种类型：个人依恋的老年感伤游客、认知依恋的年轻感伤游客和具有普遍兴趣的年轻游客。

与寻根旅游不同, 感伤旅游的独特之处在于包括与目的地没有个人或家族根源, 但基于“失落”土地的共同遗产而对目的地感到感伤的游客。这项研究显示了感伤旅游游客如何依附于曾经属于他们国家的失落土地, 以及同根源游客和非同根源游客对目的地的不同看法。中欧的感伤旅游通过游客细分及比较根源和非根源游客提供了一个新的视角来考虑游客与遗产地之间的关系。

Este estudio pretende explorar el fenómeno del turismo sentimental en Europa Central y Oriental, que consiste en viajar a lugares relacionados con el pasado de las personas o de su país por motivos sentimentales en referencia a acontecimientos históricos perturbadores (por ejemplo, cambios fronterizos, territorios perdidos), e identificar diferentes segmentos dentro de los turistas sentimentales.

Se realizó una encuesta a 400 turistas sentimentales polacos para comparar sus actitudes y comportamientos al visitar una tierra “perdida” según la edad y las raíces familiares. Se realizaron pruebas t de muestras independientes y ANOVA para comparar las opiniones de los turistas sentimentales por edad y origen fronterizo. Se aplicó un análisis factorial exploratorio para identificar las dimensiones subyacentes del funcionamiento del destino. Se aplicó un análisis de conglomerados para clasificar a los turistas en segmentos en base a su percepción del funcionamiento del destino.

Este estudio analizó la actitud y el comportamiento de los turistas sentimentales en función de la edad y los arraigos o raíces familiares. Se revelaron algunas diferencias significativas en el motivo del viaje, el interés por las atracciones patrimoniales y la percepción de los resultados del destino entre los distintos grupos. El estudio también identifica tres factores clave del “funcionamiento” de los destinos: la accesibilidad, el sentimiento y las infraestructuras y la seguridad. Basándose en análisis factoriales y de conglomerados, los turistas sentimentales polacos se dividieron en tres tipos de vinculaciones: los turistas sentimentales de más edad vinculados personalmente, los turistas sentimentales más jóvenes vinculados cognitivamente y los turistas con interese generales.

A diferencia del turismo de raíces, el turismo sentimental es único al incluir a turistas sin arraigos personales pero que sienten un sentimiento hacia el destino basado en la herencia compartida de territorios perdidos. Este estudio muestra el apego de los turistas sentimentales a una tierra perdida que solía pertenecer a su país y la diferente percepción del destino que tienen los turistas de raíces y los que no lo son. El turismo sentimental en Europa Central ofrece una nueva perspectiva para considerar la relación entre los turistas y los lugares patrimoniales, así como la segmentación turística a través de la comparación de los turistas de raíces y los que no lo son.

In terms of service hospitality, recent discussions of value-in-use from the perspective of service-dominant logic have focused on the customer’s determination of value and control of the value creation process. The purpose of this paper is to extend these discussions by exploring the value creation process in the Western-style restaurant in Taiwan, which is developed value-in-eat creation for restaurants. In Taiwan, Western-style restaurants are as popular as Chinese restaurants because of globalization and cultural integration. However, to local restaurateurs and managers, managing a Western-style restaurant in terms of localization and hospitality on value-in-eat creation presents both academic and practical issues. Thus, this paper aims to investigate Western-style restaurant hospitality management alternatives on the value-in-eat creation process in Taiwan using a data mining approach.

Based on a market survey, a total of 1,187 questionnaires was incorporated into a database. The questionnaire design is divided into 7 parts with 35 items. All questions are designed as nominal and ordinal (not the Likert scale) scales. Data mining approach, including cluster analysis and association rules, cluster analysis is investigated possible customer profiles and association rules is implemented to explore customer preference patterns and rules on the value-in-eat creation process.

Data mining results show two patterns including Pattern 1: meal patterns and customer preferences for restaurant hospitality management and Pattern 2: customer relationship management (CRM) for restaurant hospitality management that customer profiles and preferences on meal patterns, service patterns and CRM are engaged to suggest effective Western restaurant hospitality management alternatives, such as proper bundles for restaurant types, meals, exotic atmosphere and services of hospitalities in terms of a value-in-eat creation process.

To the best of the authors’ knowledge, this study is the first study to investigate consumers’ behaviors in Western-style restaurants using the measurement of nominal and ordinal scale for questionnaire development and further to implement a data mining approach on selected data samples. In addition, this study illustrates the patterns/rules of Taiwan customer preferences that best explain the knowledge of how to manage Western-style restaurants from the perspective of customer hospitality using data mining.

在酒店服务领域, 近期的从服务主流逻辑为视角关于使用价值的讨论主要集中在消费者对价值的定义以及掌控价值创造的过程。本研究的主要目的是拓展这些相关的讨论从而发掘关于在台湾经营的西餐厅的顾客价值创造过程, 进而开发餐厅的饮食价值创造。由于全球化进程, 台湾的西餐厅和中餐厅同样受欢迎。然而, 对于本地的餐厅所有人和经营管理者来讲, 管理西餐厅关于价值创造过程中的地方化和服务管理还存在学术和实践问题。因此, 本文运用了数据挖掘的方法对西餐关于价值创造的另类途径进行了探索。

基于市场调研, 本研究导入了1187份问卷作为数据库。问卷由7部分35项条目组成。所有问题以称名量表和顺序量表（非李克特量表）测量。数据挖掘包括了聚类分析和关联分析。聚类分析用来分析消费者概况, 关联分析来探究顾客倾向以及饮食价值创造过程。

数据挖掘结果显示了两种模式, 1：食物以及顾客对餐厅的接待管理的偏爱以及模式, 2：客户关系管理包括顾客概况和对饮食模式的偏爱, 服务模式以及顾客关系维护的另类建议, 诸如适度的捆绑销售包括餐厅种类, 菜系, 异域风情的就餐环境以及服务来体现饮食价值创造的过程。

本研究是首次探索了用称名量表和顺序量来研发的消费者问卷并且运用了数据挖掘的方法研究了西餐厅的消费者行为。 此外, 本研究阐明了台湾消费者的偏爱模式从而更好的解释了如何用数据挖掘的方法来研究西餐厅的服务管理。

This study aims to conduct a bibliometric analysis of previously published articles related to adventure tourism to assimilate the current trend, gaps in the literature and future research direction of this particular field.

A total of 585 documents were retrieved from the Scopus and Web of Science core collection for analysis using VOSviewer. Performance and science mapping analysis was performed to comprehensively review the adventure tourism publication.

The findings show that publication in this field is growing significantly. Cluster analysis using the co-citation of references method resulted in four broad research areas: risk in adventure tourism, adventure tourism motivation, adventure tourism experience and adventure tourism product development.

The study acts as an archive of adventure tourism publications. Potential authors can quickly comprehend what is expected and current happening in adventure tourism field. It can assist scholars in identifying gaps and possible future directions.

本研究旨在对之前发表的与探险旅游相关的文章进行文献计量分析, 以了解该特定领域的当前趋势、文献空白和未来研究方向。

从 Scopus 和 Web of Science (WOS) 核心合集中检索到总共 585 篇文献, 使用 VOSviewer 进行分析。 执行性能和科学制图分析以全面审查探险旅游出版物。

调查结果表明, 该领域的出版物正在显着增长。 使用参考文献共引法的聚类分析产生了四个广泛的研究领域：探险旅游中的风险、探险旅游动机、探险旅游体验和探险旅游产品开发。

该研究充当冒险旅游出版物的档案。 潜在的作者可以快速理解冒险旅游领域的预期和当前发生的事情。 它可以帮助学者找出差距和未来可能的方向。

este estudio tiene como objetivo realizar un análisis bibliométrico de artículos publicados anteriormente relacionados con el turismo de aventura para asimilar la tendencia actual, los vacíos en la literatura y la dirección futura de la investigación de este campo en particular.

se recuperó un total de 585 documentos de la colección principal de Scopus y Web of Science (WOS) para su análisis mediante VOSviewer. Se realizó un análisis de mapeo científico y de rendimiento para revisar exhaustivamente la publicación de turismo de aventura.

Los hallazgos muestran que la publicación en este campo está creciendo significativamente. El análisis de conglomerados utilizando el método de cita conjunta de referencias dio como resultado cuatro áreas amplias de investigación: riesgo en el turismo de aventura, motivación del turismo de aventura, experiencia en el turismo de aventura y desarrollo de productos de turismo de aventura.

El estudio actúa como un archivo de publicaciones de turismo de aventura. Los autores potenciales pueden comprender rápidamente lo que se espera y lo que sucede actualmente en el campo del turismo de aventura. Puede ayudar a los académicos a identificar brechas y posibles direcciones futuras.

This study aims to examine the process of value co-creation (VCC) on digital ecotourism platforms and the role of perceived platform usefulness and user participation behavior in that process. The study also seeks to determine the extent to which the typology of the ecotourist moderates VCC.

A total of 420 users of a digital ecotourism platform participated in a study analyzing the factors that influence VCC. A mediation, moderation and conditional process analysis was used to test the proposed hypotheses. A K-means cluster analysis was also used to classify the ecotourists into four groups.

The results show that perceived platform usefulness has a strong influence on the generation of VCC and also on user participation behavior. In turn, user participation behavior is an important driver of VCC. This study also highlights the moderating role of the ecotourist typology in the formation of VCC on these digital platforms.

This study offers managers of digital ecotourism platforms a means to identify and motivate those ecotourists with the necessary skills and characteristics to become true co-creators of value.

This study contributes to the existing knowledge on how value is co-created on digital ecotourism platforms, confirming the important antecedent role of perceived platform usefulness and user participation behavior, as well as the moderating role of ecotourist typology.

El propósito de este estudio es examinar el proceso de co-creación de valor (VCC) en las plataformas digitales de ecoturismo y el papel de la utilidad percibida de la plataforma y el comportamiento de participación de los usuarios. El estudio también pretende determinar en qué medida la tipología del ecoturista modera la VCC.

420 usuarios de una plataforma digital de ecoturismo participaron en un estudio que analizaba los factores que influyen en la co-creación de valor. Se utilizó un análisis de mediación, moderación y proceso condicional para probar las hipótesis propuestas. También se utilizó un análisis de conglomerados K-means para clasificar a los ecoturistas en 4 grupos.

Los resultados muestran que la utilidad percibida de la plataforma tiene una fuerte influencia en la generación de VCC y también en el comportamiento de participación del usuario. A su vez, el comportamiento de participación del usuario es un importante impulsor de la VCC. El estudio también destaca el papel moderador de la tipología ecoturística en la formación de VCC en estas plataformas digitales.

El estudio ofrece a los gestores de plataformas digitales de ecoturismo un medio para identificar y motivar a aquellos ecoturistas con las habilidades y características necesarias para convertirse en verdaderos co-creadores de valor.

Este estudio contribuye al conocimiento existente sobre cómo se co-crea valor en las plataformas digitales de ecoturismo, confirmando el importante papel antecedente de la utilidad percibida de la plataforma y el comportamiento de participación de los usuarios, así como el papel moderador de la tipología del ecoturista.

本研究的主要目的是考察数字生态旅游平台上的价值共同创造（VCC）过程, 以及感知平台有用性和用户参与行为在该过程中的作用。该研究还试图确定生态旅游者的类型在多大程度上调节了VCC。

一个数字生态旅游平台的420名用户参与了一项研究, 分析影响价值共同创造的因素。使用调解、调节和条件过程分析来检验所提出的假设。还使用了K-均值聚类分析, 将生态旅游者分为4组。

结果显示, 感知的平台有用性对VCC的产生有很大影响, 也对用户的参与行为有很大影响。反过来, 用户参与行为也是VCC的一个重要驱动因素。该研究还强调了生态旅游者类型学在这些数字平台上形成VCC的调节作用。

该研究为数字生态旅游平台的管理者提供了一种识别和激励那些具有必要技能和特征的生态旅游者成为真正的价值共同创造者的手段。

本研究对数字生态旅游平台上如何共同创造价值的现有知识做出了贡献, 证实了感知平台有用性和用户参与行为的重要前因作用, 以及生态旅游者类型学的调节作用。