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The study aims to explore the effects of photograph quality on visual appeal, perceived usefulness and viewers' travel intentions from rational and irrational perspectives while simultaneously providing some references for the management and marketing of tourism destinations.

The study comprises four experiments combined with structural equation modeling to explore the influence mechanism of photograph quality on travel intentions.

(1) Higher-quality photographs offer greater visual appeal and perceived usefulness to viewers, and these relationships are moderated by the photograph source. Specifically, high-quality photographs generated by other tourists have more visual appeal and perceived usefulness to viewers. However, there are no significant differences in the impact of low-quality photographs generated by other tourists and destination marketing organizations (DMOs) on visual appeal and perceived usefulness. (2) Visual appeal and perceived usefulness significantly affect viewers' travel intentions, and visual appeal positively affects perceived usefulness. (3) Travel experience positively moderates the effects of visual appeal and perceived usefulness on viewers' travel intentions.

The study explores the effects of the visual appeal (irrational factor) and perceived usefulness (rational factor) associated with photograph quality on viewers' travel intentions. Photograph source and travel experiences have moderating effects on this influence mechanism.

The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.

El objetivo de esta investigación fue descubrir nichos representativos de áreas emergentes y examinar el área de Marketing, Turismo y Big Data, evaluando cómo han evolucionado estas áreas temáticas durante un período de 27 años desde 1996–2022. Analizamos 1.152 investigaciones para identificar las principales áreas temáticas y temas emergentes, las principales teorías utilizadas, las formas de análisis predominantes y los autores más productivos en términos de investigación.

Todos los artículos para esta investigación fueron seleccionados de la base de datos Web of Science. Realizamos una revisión sistemática y cuantitativa de la literatura. Utilizamos el software SciMAT para extraer indicadores. Específicamente, analizamos la productividad y elaboramos un mapeo científico.

Los hallazgos sugieren que el interés en esta área ha aumentado gradualmente. Los resultados también revelan el esfuerzo innovador de la industria en nuevas tecnologías para desarrollar modelos de marketing turístico. Se identificaron diez áreas de investigación (“marketing de destinos”, “patrones de movilidad”, “co-creación”, “gastronomía”, “sostenibilidad”, “comportamiento turístico”, “segmentación de mercado”, “redes neuronales artificiales”, “precios”, y “satisfacción del turista”).

Este trabajo es único al proponer una agenda para futuras investigaciones en investigación de Marketing Turístico con nuevas tecnologías como Big Data y técnicas de Inteligencia Artificial. Además, los resultados presentados aquí llenan el vacío actual en la investigación ya que si bien se han realizado revisiones de literatura que cubren Turismo con Big Data o Marketing, estas áreas no se han estudiado como un conjunto.

这一特定研究领域的目标是发现具有代表性的新兴领域, 并考察市场营销、旅游和大数据研究领域, 以评估这些主题领域在1996年至2022年的27年间是如何发展的。我们分析了1152项研究, 以确定主要专题领域和新兴主题、使用的主要理论、主要的分析形式以及在研究方面最有成效的作者。

本研究的文章都是从Web of Science数据库中选出的。我们进行了系统化的定量文献审查, 并使用SciMAT软件来提取指标。具体来说, 我们分析了生产力并制作了一个科学研究地图。

研究结果表明, 人们对这一领域的兴趣已经逐渐增加。本文也揭示了工业界在开发旅游营销模式的新技术方面的创新努力。研究确定了十个研究领域：“目的地营销”、“流动模式”、“共同创造”、“美食”、“可持续性”、“游客行为”、“市场细分”、“人工神经网络”、“定价 “和游客满意度”。

这项研究的独特之处在于提出了未来利用大数据和人工智能技术等新技术进行旅游营销研究的议程。此外, 本文的结果填补了目前的研究空白, 因为虽然有文献综述涉及旅游与大数据或市场营销, 但这些领域还没有被作为一个整体来研究。

This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal distance, social distance and experiential distance.

Based on construal-level theory (CLT), this study divides online travel reviews into concrete and abstract reviews. Three experiments were conducted to test the moderating effects of temporal distance, social distance and experiential distance on the influence of review content characteristics on tourists' travel intentions.

The results show that abstract reviews would lead to higher travel intentions than concrete reviews. Furthermore, tourists' travel intentions differed depending on social distance and were significantly affected by reviews posted by reviewers similar to review recipients. In addition, the study contributes by discovering that the moderating effects of temporal distance, social distance and experiential distance were not significant, which differs from most of the previous research conclusions.

This study focused on review content characteristics, which provided a novel perspective for constructing online travel reviews. Furthermore, this research defined the concept of experiential distance in the context of online travel and expanded the research on psychological distance.

By adopting a cross-country analysis, this study aims to investigate how consumers' perception of book covers affects their online book purchases in terms of feelings of delight and perceived value of the book.

The authors tested the hypotheses using a structural equation model using two countries' datasets obtained from 191 Japanese and 207 French consumers.

The perceived attractiveness of a picture/photo on a book cover can positively influence feelings of delight. Such emotion enhances a book's perceived value, resulting in active online book purchases. Furthermore, when the perceived value of a book is evident, the French are more strongly motivated to purchase books compared to Japanese consumers.

By simultaneously examining emotion and perceived value as an organism, the authors advance the knowledge of the relationship between book covers and online book purchases. In addition, the authors offer evidence that cross-cultural differences (between the French and Japanese) can stimulate different responses to each affective and cognitive internal state, although similar environmental stimuli are provided.

This study examined how marketer- and user-generated photographs jointly influence consumers' online hotel booking.

Viewing photographs as stimuli that influence consumers' online hotel booking, this study proposes a research model and validates that using one quasi-experiment.

The findings of this study provide some empirical insights. Marketers can release room- and scene-related photographs. Users can release product- and social-related photographs. The interaction between room-related photographs by marketers and product-related photographs by users can promote energetic arousal and dominance and then promote online booking intention. The interaction between scene-related photographs by marketers and social-related photographs by users can promote energetic arousal and dominance and then promote online booking intention. Pleasure, energetic arousal and dominance can positively influence the attitude toward photographs. Pleasure and energetic arousal can positively influence the attitude toward photographs and then positively influence booking intention. Dominance can positively influence booking intention.

The findings of this study reveal significant interaction effects between marketer- and user-generated photographs on consumers' online booking. The findings will help researchers and marketers better understand the impact of photographs on consumers' online hotel booking.

User-generated content and online reviews are highly relevant in purchase decision in the hospitality sector, including restaurants, but there is a lack of knowledge about the effect of sharing pictures in this context. This study aims to focus on the relevance of user-generated photos in online platforms for restaurants’ selection.

A research was conducted with a sample of 319 residents of Porto region, who had at least one meal in a restaurant over the 30 days before the answer of the survey and had searched online to select the restaurant.

The results show that while doing online research about restaurants, it is important for potential consumers to find pictures of food and physical evidences of restaurants generated by other users. Findings also show that consumers find user-generated photos especially at websites of reviews, although the importance of restaurant owned platforms, such as official social media pages and websites.

The research results appeal restaurant managers to understand the importance of user-generated photos in online platforms by promoting photo sharing in their restaurants with appropriate marketing activities for that purpose.

This paper expands the state-of-the-art about the importance of user-generated content, focusing on the importance of photos from restaurants shared by consumers in online platforms.

用户生成内容和在线评论, 与酒店行业, 包括饭店业中的购买决策是密不可分的。但是在这个研究领域里, 对于分享照片的影响力还尚未可知。本论文旨在研究在线平台中的用户生成照片对于饭店选择的影响。

本论文采用问卷采样形式, 问卷样本为在30天之内通过上网搜索选择饭店并且就餐至少一次的葡萄牙波尔图地区居民, 有效样本数量为319份。

人们在上网搜索饭店时, 找到食物图片和其他用户生成的有关饭店评论对于消费者决策有着至关重要的作用。本论文结果还表明, 尽管饭店运营的在线平台比如官方社交媒体网页和网站等很重要, 但是消费者在决策中最考虑的因素是那些评论型网站, 消费者会更倾向于找到用户生成的图片来帮助他们的消费决策。

本论文结果对于饭店管理者理解在线平台的用户生成图片的重要性有着很大的启示。本论文建议其管理者应该使用适当的营销手段来促使自己饭店的相关照片得到用户的分享。

本论文拓展了用户生成内容的现有认识, 研究了饭店照片被消费者分享到在线平台的重要性。

线上口碑效应 e-WOM、在线平台 、在线评论 、照片分享 、饭店管理 、社交媒体 、用户生成内容

研究论文

Google Maps is a web platform that allows users to review businesses and services, including libraries. Given the impact of online reviews on the corporate reputation of companies and institutions, it is important to understand how library users disseminate and process reviews on online sites. This study explores whether Google Maps is being used by users of public libraries in the city of Barcelona (Spain) to share their views on libraries' facilities and services and what perception of the library they transmit.

Records corresponding to the 40 public municipal libraries in Barcelona were retrieved from Google Maps. For each library, the average “rating” (a quantitative assessment of the library) and a sample of the ten most recent “reviews” (a text and/or photograph(s) that accompanies the rating) were analysed. Reviews were categorised into eight categories: “children's areas”, “collections”, “location”, “facilities”, “general reviews”, “opening hours”, “staff” and “technology”.

All of the city's 40 public libraries are present in Google Maps and have been reviewed by users, usually with high ratings. The number of replies to users' reviews by library managers is negligible. Reviews with low ratings tend to be longer than those with high ratings. In the reviews, children's areas, collections and library location are given positive ratings. Facilities also receive positive reviews, although to a lesser extent, and two issues receive criticism: noise and lack of seating space for studying. Three aspects of the libraries attract similar numbers of positive and negative reviews: staff, opening hours and technology. The study concludes that Barcelona's public libraries should devote more resources for keeping the information in their profiles updated. They should also monitor users' opinions and create guidelines to offer feedback, especially to negative reviews.

The research is limited by being restricted to a single platform (Google Maps) and a single city (Barcelona). Those writing reviews in Google Maps may not constitute a representative sample of library users. “Local guides”, who tend to award higher ratings than other users, participate in a programme that allows them to earn points that may be exchanged for benefits. Therefore, it is possible that at least some “local guides” publish reviews on public libraries they hardly know (if at all) just to obtain benefits. Similarly, the large number of users commenting on study spaces suggests that young people may be over-represented.

Many studies have analysed transaction data in online library settings, including visits, searches, downloads, etc. but there are no examples of analyses of user-generated content such as texts or photos uploaded to review sites and social media. The results of this study will help to improve the understanding of how library patrons see public libraries and to design effective strategies to respond to and generally manage their suggestions and complaints.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2019-0291

To provide the results of research to evaluate the usability of a University of Colorado at Boulder Libraries digital initiatives project that provides online access to historical Aerial Photographs of Colorado.

This paper describes usability testing conducted as a part of a user‐centered redesign. The three stages of the evaluation – a requirements analysis, a heuristic evaluation, and user testing – are explained and the findings are discussed.

The usability testing revealed the needs of the project's target user group and identified issues with the interface that will be addressed in its redesign. It has also contributed to the larger understanding of how researchers use digital Aerial Photographs and their preferred methods of access and desired functionalities.

Results from the study will be used to guide the redesign of the Aerial Photographs of Colorado digital library and can be generalized to add to a broader understanding of the usability requirements for a digital library of geospatial materials. Libraries providing a digital collection of geospatial materials may use these findings to inform design decisions.

Much research has been done on the use and evaluation of digital libraries, but few articles have reported on usability studies of online collections of cartographic materials similar in structure to Aerial Photographs of Colorado. It is hoped that these findings will be instructive to librarians designing and evaluating similar digital libraries.

Online ratings and reviews have recently emerged as mechanisms to facilitate accountability and transparency in the provision of goods and services. The purpose of this paper is to examine the nature and outcome of the accountability that online ratings and reviews create in the sharing economy.

The study draws on 30 face-to-face and Skype interviews with Airbnb guests and hosts as well as on secondary materials, including content from Airbnb data analytic reports.

The authors demonstrate that face-saving practices widely condition user ratings and comments. Face saving occurs when individuals attempt to preserve their own identity and the identity of others during a social interaction. At Airbnb, the authors find that reviewers adopt three distinct face-saving strategies: the use of private reviewing channels, the creation of tactful reviews and refraining from reviewing entirely. The authors also find that users are sceptical of rating metrics and public comments and draw upon a wide range of alternative sources, such as private messaging and other publicly available resources, in their decision making.

This paper highlights the overwhelmingly positive character of Airbnb ratings and reviews. It proposes the concept of crowdbased accountability as a limited, partial form of assurance for sharing economy users. Guests and hosts alike prioritise face-saving practices over reviewer responsibilities to provide authentic, reliable accounts to the public. Consequently, reviewers effectively remove the risk of sanctions for those in the network who underperform.

The purpose of this study is to investigate the effect of online reviews on consumers’ intention to visit restaurants, with the moderating role of involvement.

The research framework was built on signaling theory, message appeals and involvement theory. To test the proposed framework, three experiments were conducted online with real customer samples. T-tests, ANOVA and SPSS PROCESS macro were used for data analysis.

The results revealed that online reviews with higher online ratings and emotional appeal led to higher restaurant visit intention. Review appeal significantly moderated the effect of online ratings on restaurant visit intention. Customers with low restaurant involvement were more impacted by emotional comments than by functional comments.

The present study extends our knowledge on the effects of online reviews moderated by levels of customer involvement. By combining signaling theory with involvement theory, it adds value to the literature on customer online behavior, especially in the foodservice context. The present study has limitations that might provide opportunities for future research. It used evaluations (TripAdvisor scores) and only positive reviews (texts), so customers’ intentions considering negative reviews could not be examined. The level of hedonism concerning consumption in restaurants and prior knowledge regarding restaurant reviews was not controlled for. It is possible that the level of hedonism perceived and prior review knowledge may moderate the customers’ intention to visit the restaurant.

The present study shows the importance of online comments for the promotion of restaurants that have low evaluation scores. It is essential that restaurant owners and managers encourage potential customers by using comments to elaborate on their marketing strategies and promotion. At the same time, they should invite customers to share their emotional experiences, and not just their views on service efficiency (a functional aspect). During the COVID-19 pandemic, the use of the internet and mobile devices has become more prominent. Managers could therefore use emotional messages on the restaurant’s website or apps to attract customers with low restaurant involvement. Also, a system to identify the involvement of customers with restaurants could be implemented online or on mobile devices to present specific messages. The present study also recommends the use of online tools as virtual tours, photographs taken from different angles, smiling faces, floor plans and sittings and pre-determined emotional expressions. Also, the restaurant could promote lives on cooking different dishes to motive customer’s interaction and comments. These would help to increase customers’ visit intentions.

This study extends knowledge about the effect of restaurant online reviews (both ratings and appeals) moderated by the level of customer involvement. The present study also adds value to the customer online behavior literature showing that customers with low involvement are more sensitive to emotional content as they use the affective route to process information rather than the central route.

在线评论对餐厅到访意愿的影响：运用信号理论和参与理论

本研究旨在探索以顾客参与度作为调节变量, 关于在线评论对餐厅到访意愿的影响。

本文以信号理论, 信息诉求, 参与理论来建立研究框架。为测试提出的理论框架, 本研究进行了三个在线消费者实验。T-检验, 方差分析, 和SPSS PROCESS 来作为统计方法。

研究发现评论分值越高, 运用感情诉求往往导致更高度的到访意愿。评论的诉求形式显著调节了评分对到访意愿的影响。对于参与度较低的顾客, 情感诉求比功能性诉求更加能影响顾客意愿。

本研究对餐厅在线评论（评分和诉求种类）对顾客到访意愿影响, 以及如何被消费者参与度所调节贡献了新知识。本研究对消费者在线行为做出了贡献, 发现参与度较低的顾客对和情感有关的内容更敏感, 相对于中央路径, 由于此类顾客更倾向于情感路径来处理信息。