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This paper aims to explore the causal relationship of user-generated content (UGC) on trust in UGC (TUGC), destination image (DI) and tourist visit intention (VI) guided by the stimulus-organism-response (SOR) theory. This work further examined the mediating effect of TUGC and DI between UGC and VI.

Data were collected through online and personal-administered surveys and randomized sampling. This work employed partial least squares structural equation modeling (PLS-SEM) to test the proposed model empirically.

In line with the SOR Theory, this work found UGCs that induce positive emotions and connection to the users motivate VI rather than UGCs that are predominantly factual. Furthermore, UGCs are considered reliable, authentic and less biased than brand-generated content. The findings of this work contribute to the theoretical understanding of UGC to VI in a destination.

This work proposes that destination marketers prioritize UGC that evokes positive emotions and connections with users, as it is more effective in encouraging VI. Strategies such as incentivizing content creators, improving online presence and engaging influencers can maximize UGC. Enhancing online traffic quality, visibility and interaction and implementing content policies are crucial for UGC's effectiveness. Marketers should align destination products with tourists' interests and collaborate with influencers for affiliate marketing to increase tourist-generated UGC. Furthermore, improved connectivity encourages UGCs about the destination.

In tourism marketing, UGC has become a valuable information source for tourists in making informed travel decisions. UGC is a tourist-generated content that offers factual information and authentic experiences through images, videos or text posted through social media platforms. UGC is considered more reputable than travel firms and the mainstream media as an information source. Due to the limited works on UGC in the literature, the influence of UGC on tourists' VIs has remained unexplored at the time of writing. This work bridges this gap by empirically examining the impact of UGC on Gen Z tourists' VI guided by the SOR theory.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

The manuscript aims to introduce the managerial practice of content recycling – that is, a firm's recycling of its posts on social media platforms. I define and distinguish the phenomenon from related ones and offer propositions for future research to test empirically.

Review of the practitioner literature, in-situ observations with content managers, and a survey of content managers and Facebook users.

Managers recycle their posts to recoup the costs of content. Under some conditions, recycled content may yield more benefits than costs.

I define the phenomenon of content recycling and differentiate it from related terms. I offer propositions for future research.

I inform managers of the benefits and costs of recycling content and conditions under which benefits may override costs.

The research is novel and helps develop a common managerial practice.

User-generated content was explored to understand the public discourse surrounding the Vessel, a star architecture in New York. Through text analytics, the study aims to uncover topics, sentiments and themes in public opinion regarding this controversial building from social media data.

This study utilized a big data and text analytics approach, employing topic modeling with the BERTopic technique, sentiment analysis with roBERTa and thematic analysis on 10,259 Reddit comments pertaining to the Vessel.

The comments were grouped into 20 topics and seven themes, shedding light on discussions regarding the Vessel’s philosophy of existence, critiques of the architect’s approach, evaluations of project success or failure and considerations of the project’s future. Negative sentiments dominate the discourse, reflecting widespread criticism and skepticism towards the project.

The manual data collection method, due to API restrictions, precluded tracking evolving trends over time. Nevertheless, the study provides insights for architects, urban planners, policymakers and stakeholders involved in public space design and management, highlighting the importance of considering user feedback from social media platforms.

This study enriches our comprehension of how users perceive star architecture in the age of social media, focusing on hidden layers of discourse surrounding a controversial iconic building. By combining topic modeling and sentiment analysis, the study offers a novel approach to analyzing architectural public debates on social media platforms like Reddit.

Previous research acknowledges the importance of stakeholders for destination branding. However, there is a lack of studies examining which specific online user discourses are triggered by stakeholder responses to destination brand communication. To address this gap, the purpose of this study is to analyze online user discourses initiated by stakeholder’s reactions to a destination image video and thus enhance knowledge on brand communication and management.

The authors investigated 2,187 online comments to 19 medial stakeholder reactions to a destination management organization (DMO) image video both by running a manual as well as a software-based content analysis. The explorative empirical study identifies seven major categories reflecting online user discourses triggered by stakeholder reactions to destination brand communication.

The explorative study indicates that stakeholder reactions to destination brand communication trigger online comments evolving within both the inner and outer tourism system. The discourse subjects, in turn, reflect both user-generated content of brand cocreation and brand codestruction. The findings expand literature in that previous studies on brand cocreation mainly refer to service encounters.

By identifying which online user discourses are triggered by stakeholder reactions to DMO brand communication, the authors provide managerial implications. Specifically, the authors suggest guidelines for all stages of destination communication campaigns to support online user discourses reflecting brand value cocreation and preventing brand value codestruction.

The study responds to a lack of research on online user discourses initiated by stakeholder reactions to DMO brand communication. Contrary to previous studies, the authors identify specific online user discourses relating not only to the inner but also to the outer tourism interest system. Revealed discourses, in turn, reflect brand cocreation and brand codestruction.

先前的研究确认了利益相关者对于目的地品牌塑造的重要性。然而, 目前缺乏研究探讨利益相关者对目的地品牌传播的反应, 会引发哪些特定的线上使用者论述。针对这个缺口, 本研究分析由利益相关者对目的地形象影片的反应所引发的线上使用者论述, 进而增进品牌传播与管理的知识。

作者通过手动和软件内容分析, 调查了 2,187 条在线评论, 涉及 19 个媒体利益相关者对目的地管理组织形象视频的反应。这项探索性实证研究确定了七个主要类别, 反映了利益相关者对目的地品牌传播的反应所引发的在线用户讨论。

本探索性研究表明, 利益相关者对目的地品牌传播的反应, 引发了在旅游系统内部和外部演变的在线评论。话语主体反过来反映了用户生成的品牌共创和品牌共建内容。 以往关于品牌共创的研究主要涉及服务接触, 而我们的研究结果拓展了这一研究领域。

通过确定利益相关者对目的地管理组织品牌传播的反应引发的在线用户话语, 我们提供了管理方面的启示。具体来说, 我们为目的地传播活动的各个阶段提出了指导方针, 以支持反映品牌价值共创和防止品牌价值共毁的在线用户话语。

我们的研究回应了由利益相关者对目的地管理组织品牌传播的反应所引发的线上使用者论述研究的缺乏。与先前的研究相反, 我们发现特定的线上使用者论述不仅与内部旅游利益体系有关, 也与其外部有关。所揭示的论述反过来反映了品牌共创和品牌共建。

Investigaciones anteriores reconocen la importancia de las partes interesadas en la creación de marcas de destino. Sin embargo, faltan estudios que examinen si los discursos específicos de los usuarios en línea son desencadenados por las respuestas de las partes interesadas a la comunicación de la marca de destino. Para colmar esta laguna, el presente estudio analiza los discursos de los usuarios en línea iniciados por las reacciones de los grupos de interés a un vídeo de imagen de un destino, mejorando con esto los conocimientos sobre comunicación y gestión de marcas.

Los autores investigan 2.187 comentarios en línea a 19 reacciones de grupos de interés mediáticos a un vídeo de la imagen de una OMD mediante un análisis de contenido tanto manual como basado en software. El estudio empírico explorativo identifica siete categorías principales que reflejan los discursos de los usuarios en línea desencadenados por las reacciones de las partes interesadas a la comunicación de la marca de destino.

El estudio exploratorio indica que las reacciones de las partes interesadas a la comunicación de la marca del destino desencadenan comentarios en línea que evolucionan dentro del sistema turístico interno y externo. A su vez, los temas del discurso reflejan tanto el contenido generado por los usuarios como la cocreación y la codestrucción de la marca. Nuestros hallazgos amplían la literatura en el sentido de que los estudios anteriores sobre cocreación de marcas se refieren principalmente a encuentros de servicios.

Al identificar qué discursos en línea de los usuarios desencadenan las reacciones de las partes interesadas a la comunicación de marca de los OMD, aportamos implicaciones para la gestión. En concreto, sugerimos directrices para todas las fases de las campañas de comunicación de los destinos, con el fin de apoyar los discursos en línea de los usuarios que reflejan la cocreación del valor de la marca y evitar la codestrucción de dicho valor.

Nuestro estudio responde a la falta de investigación sobre los discursos en línea de los usuarios iniciados por las reacciones de las partes interesadas a la comunicación de marca de las OMD. A diferencia de estudios anteriores, identificamos discursos específicos de usuarios en línea relacionados no sólo con el sistema de intereses turísticos interno, sino también con el externo. Los discursos revelados reflejan a su vez la cocreación y la codestrucción de la marca.

Conceptual and empirical research over the past 20 years has moved the social media (SM) literature beyond the embryotic stage to a well-developed academic discipline. As the lead article in the special issue in the Journal of Research in Interactive Marketing on Cutting-Edge Research in Social Media and Interactive Marketing, this review and agenda article has two key goals: (1) to review key SM and interactive marketing research over the past three years and (2) to identify the next wave of high priority challenges and research opportunities.

Given the “cutting-edge” research focus of the special issue, this review and research agenda paper focused on articles published in 25 key marketing journals between January 2021 and March 2024. Initially, the search request was for articles with “social media, social selling, social commerce” located in the article title, author-selected key words and journal-selected keywords. Later, we conducted searches based on terminology from articles presented in the final review. In total, over 1,000 articles were reviewed across the 25 journals, plus additional ones that were cited in those journals that were not on the initial list.

Our review uncovered eight key content areas: (1) data sources, methodology and scale development; (2) emergent SM technologies; (3) artificial intelligence; (4) virtual reality; (5) sales and sales management; (6) consumer welfare; (7) influencer marketing; and (8) social commerce. Table I provides a summer of key articles and research findings for each of the content areas.

As a literature review and research agenda article, this paper is one of the most extensive to date on SM marketing, and particularly with regard to emergent research over the past three years. Recommendations for future research are integrated through the paper and summarized in Figure 2.

Consumer welfare is one of the eight emergent content areas uncovered in the literature review. Specific focus is on SM privacy, misinformation, mental health and misbehavior.

This study aims to explore students’ perceptions of the use of an artificial intelligence-generated content avatar (AIGC avatar) within a learning management system (LMS).

This qualitative research involved seven postgraduate students. Data were collected through individual, in-depth interviews. The videos of the AIGC avatar, created using Leonardo, ChatGPT and Heygen, were uploaded to the LMS to communicate with students for the purposes of a welcome note, assignment guide, assignment feedback, tutorial reminders and preparation as well as to provide encouragement and study tips. Students were interviewed at the end of the semester.

The findings of this study indicated that the majority of participating students held positive perceptions regarding the use of the AIGC avatar in the LMS. They reported that it enhanced their perceived instructor’s social presence and motivation to learn. The assignment guide and feedback were particularly valued by the participants. While some students noted the AIGC avatar’s lack of naturalness, others appreciated the clear and professional speech it delivered.

The study was confined to seven students from a single course at one institution, which may limit the generalizability of the findings. Future research could involve a larger and more diverse group of participants.

The findings may offer education providers an alternative solution for engaging students in an LMS.

This study highlights the potential of AIGC avatars to replace text-based communication in LMS and enhance students’ perceived instructor social presence.

Social media has become an inescapable part of our lives. However, recent research suggests that excessive use of social media may lead to fatigue and users’ disengagement. This study aims to examine which brand-related factors contribute to social media fatigue (SMF) and its subsequent role on driving lurking behaviors, particularly among young consumers.

Based on survey data from 282 young users of social media, a holistic model of brand-related drivers and outcomes of SMF was tested, emphasizing the contribution of brands’ social media presence to users’ disengagement.

Research shows that branded content overload and irrelevance, as well as branded ads intrusiveness significantly impact SMF, which in turn plays a mediating role between brand-related drivers and lurking behaviors. The authors further conclude that the impact of SMF on lurking is stronger for users who follow a larger set of brands.

The study contributes to social media research by addressing its “dark side” and empirically validating the role of brands’ social media presence in developing young users’ fatigue and disengagement. The study further adds to the scant literature on SMF, which was mostly developed outside the branding field. Research also provides valuable insights to brands on how to improve their social media performance.

This study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.

This research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.

The study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.

This study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.

A major portion of our social interaction now occurs online, facilitated by social networking sites (SNSs) that enable people to connect and communicate at will. However, the characteristics of SNS communication can introduce problematic outcomes on otherwise healthy processes, one of which is social comparison. In this work, we investigate whether compulsive SNS use could be driven by two phenomena related to social comparison: the fear of missing out (FoMO) and envy.

Using the stimulus-organism-response framework, we developed a model that was tested with data from a sample of SNS users (N = 330) based in the United States. The analysis was done through partial least squares structural equation modeling.

Our findings show FoMO's association with the two forms of dispositional experienced envy, benign and malicious, as well as expected envy of others (expected envy). Interestingly, benign and expected envy were associated with SNS stalking and self-disclosure, but malicious envy had non-significant associations. Finally, both SNS stalking and self-disclosure were linked to compulsive SNS use.

We study the nuanced ways in which the two forms of experienced envy and expected envy can be triggered by FoMO and result in users' engagement with problematic SNS use. Our research provides evidence that, in addition to benign envy being an antecedent of compulsive SNS use, the wish to invoke envious feelings in others can also significantly drive compulsive use.