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This study investigates how different parental mediation strategies (active versus restrictive) and teen Douyin users' privacy risk perceptions are associated with their privacy management behaviors.

An online survey with teen Douyin users (N = 500) was administered in mainland China.

Perceived privacy risk leads teenagers to implement stricter privacy management strategies. However, different types of parental mediation have different impacts on teens' privacy management behaviors. Discussion-based active mediation is positively correlated with privacy disclosure and privacy boundary linkage, while rule-based restrictive mediation is positively associated with privacy boundary control. In addition, active mediation encourages teens to use their own judgment about privacy risks when deciding how much personal information to disclose and with whom they want to share their information. Conversely, restrictive mediation results in teens making decisions about disclosing private information without taking their own risk assessments into account.

Video-sharing social media platforms like TikTok and Douyin have become a cultural trend among teen social media users. However, loss of privacy is a potentially serious downside of using such platforms. Despite the platforms' popularity among this age group, little is known about the ways teens manage their privacy on such social media platforms. By examining how teens' privacy risk perception and parental intervention shape three different aspects of privacy boundary management (i.e. privacy disclosure, privacy boundary linkage, and privacy boundary control), this study provides a comprehensive understanding of teen Douyin users' privacy management.

This study aims to understand social media users’ responses to the influencer-endorsed wine short videos on the most popular platform – Douyin, relying on message interpretation process (MIP) framework and identify segmentation differences from gender and the generational cohorts (Gen Z and Gen Y).

Topic modeling, content analysis and quantitative analysis were used to decipher the user-generated content (UGC) data retrieved from 81 wine videos posted by the top 30 social media influencers (SMI) who focused on wine products and consumption experience messages.

The results demonstrate social media users are most inclined to respond to product-related topics, followed by the influencer, emotional, alcohol drinking intent, behavioral and skepticism. Meanwhile, the findings also revealed that the female group was more likely to engage in influencer topics, whereas the male group contributed more to product subjects. Gen Z cohort involved more themes about alcohol drinking intent, whereas Gen Y contributed more to skepticism.

The findings provide hospitality and wine practitioners, SMI and brand sponsors valuable information to use this advanced tactic among various social networking services.

This study is the first to grasp the Douyin users’ perceptions of this newly emerged influencer marketing strategy via UGC data. Originality is established by investigating gender and generational cohorts’ differences underlined by MIP.

顾客在 TikTok（抖音）对网红葡萄酒营销短视频有何见解？探索性别和代际差异

本研究旨在了解社交媒体用户对最受欢迎的平台 - 抖音- 的网红认可的葡萄酒短视频的反应, 依靠消息解释过程 (MIP) 框架, 并识别性别和世代群组的细分差异（Z世代和 Y 世代）。

利用主题建模、内容分析和定量分析来破译从30 名社交媒体网红发布的 81 个葡萄酒视频中关注葡萄酒产品和消费体验信息检索到的 UGC 数据。

结果表明, 社交媒体用户最倾向于回应产品相关话题, 其次是影响者、情绪、饮酒意图、行为和怀疑态度。同时, 调查结果还显示, 女性群体更可能参与有社交媒体网红主题的话题, 而男性群体对产品主题的贡献更大。 Z 世代队列涉及更多关于饮酒意图的主题, 而 Y 世代则表现更多怀疑。

研究结果为酒店和葡萄酒从业者、社交媒体影响者和品牌赞助商提供了宝贵的信息, 以在各种社交网络服务中使用这种先进的策略。

这项研究首次通过 UGC 数据掌握了抖音用户对这种新兴的网红营销策略的看法。通过 MIP 体现性别和代际群体的差异从而体现本研究的原创价值。

There are two major strategies for short video advertising which are KOL (key opinion leader) endorsement and in-feed advertising. The authors aim to research the effectiveness of these two strategies for heterogeneous sellers.

The study employed a data set of users from Douyin. Using an endogenous treatment model, the study empirically examines the two strategies' effectiveness in attracting product traffic for online retailors at a short video app Douyin (TikTok).

The results show that the performance of in-feed advertising is higher when the seller's product is of lower price and when the seller has smaller cumulative video exposure. In addition, KOL endorsement is effective regardless of the product price, but performs better when the seller has larger cumulative video exposure.

To the best of the authors’ knowledge, this study is one of the first to explore the interaction effects of two major advertising strategies, KOL endorsement and in-feed advertising on short video platforms. The findings provide important theoretical contributions and practical implications.

Drawing on information foraging theory and the SERVQUAL model, this study built a research model to investigate the roles of middle-aged and elderly short-video creators' online attributes in attracting short-video viewers to be their followers.

Taking Douyin (a famous short-video platform in China) as an example, this study used a sequential triangulation mixed-methods approach (quantitative → qualitative) to examine the proposed model by investigating both creators and viewers.

Viewers who clicked the “like” button for the middle-aged and elderly creators' videos are more likely to follow the creators. Viewers will believe that middle-aged and elderly creators who received more likes are more popular. Thus, middle-aged and elderly creators with more likes usually have more followers. Viewers usually believe that middle-aged and elderly creators who more frequently publish professional and high-quality videos have invested more effort and who have official verification also have a high level of authority and are recognized by the platform. Thus, middle-aged and elderly creators with more professional videos and verification usually have more followers. Moreover, verification, the number of videos and the professionalism of videos can enhance the transformation of viewers who liked middle-aged and elderly creators' videos into their followers, and thus strengthen the positive relationship between the number of likes and the number of followers; however, the number of bio words will have an opposite effect.

These findings have implications for platform managers, middle-aged and elderly creators and the brands aiming to develop a “silver economy” by attracting more followers.

This study researches short-video platforms by using a mixed-methods approach to develop an understanding of viewers' decision-making when following middle-aged and elderly creators based on information foraging theory and the SERVQUAL model from the perspectives of both short-video creators and viewers.

Building on Kavaratzis and Hatch’s (2013) identity-based place branding model, this paper aims to explore the spatial and social dimensions of the place brand identity formation process and how residents used social media to participate in the process of shaping a city brand during a crisis.

Adopting an interpretive and social constructionist approach, this study analyses a sample of 187 short videos created and posted by Wuhan residents on the social media app Douyin during a COVID-19 lockdown. The authors read the videos as cultural texts and analysed underlying social processes in the construction of place brand identity by residents.

This study develops an adapted conceptual model of place identity formation unfolding in four sub-processes: expressing, impressing, mirroring and reflecting, and each sub-process subsumes two dimensions: the social and the spatial. In addition, this study empirically describes how residents participated in place branding processes in two ways, namely, their construction of city brand identity via communicative practice and their exertion of changes to a city brand during a crisis. The model reveals how place brands emerge and can be transformed.

This paper amplifies Kavaratzis and Hatch's (2013) identity-based place branding model by testing it in an empirical study and highlighting the social and spatial dimensions. This paper contributes to research about participatory place branding by exploring how residents participated in the place branding process. This study analysed short videos on social media, a new communication format, rather than textual narratives dominating past studies.

Hedonic social applications have been increasingly popular among health information consumers. However, it remains unclear what motivates consumers to adopt health information in hedonic applications when they have alternative choices of more formal health information sources. Building on the self-determination theory and the affordances lens, this study aims to investigate how different affordances on hedonic social applications affect consumers' basic psychological needs and further influence their intention to adopt health information on such applications.

As TikTok demonstrated great potential in disseminating health information, we developed a model that we analyze using the PLS-SEM technique with data collected from a valid research sample of 384 respondents with health information seeking or encountering experience in TikTok.

The results suggested that health information adoption in hedonic social applications is significantly predicted by the satisfaction of consumers' basic psychological needs, namely autonomy, relatedness and competence. Moreover, the satisfaction of basic psychological needs is positively affected by affordances provided by the hedonic social applications. The hedonic affordances positively influence autonomy satisfaction, while the connective affordances positively affect relatedness satisfaction, and the utilitarian affordances positively support competence satisfaction.

The study indicates that hedonic social applications such as TikTok could be an important channel for consumers to access and adopt health information. The study contributes to the literature by proposing a theoretical model that explains consumers' health information adoption and yields practical implications for designers and service providers of hedonic social applications.

Middle-aged and elderly users become an important group on short-video platforms, however, the research on determinants of their video-creating intention is limited. Based on lifespan development theories, this study examines the impact of aging experiences on their video-creating intention, considering internal generative motivations as mediators and age as a moderator.

To test this study’s hypotheses, survey data from 321 Chinese middle-aged and elderly short-video users were collected and partial least square-structural equation modelling (PLS-SEM) approach was used to analyze these data.

Middle-aged and elderly users' aging experiences of social loss and personal growth are positively related to their video-creating intention. Aging experiences (i.e. physical loss, social loss, and personal growth) are positively related to internal generative motivations (i.e. need to be needed and symbolic immortality), and need to be needed is positively related to video-creating intention. Via the mediation of need to be needed, physical loss and personal growth are indirectly positively related to video-creating intention. Personal growth strengthens the relationship between physical loss and symbolic immortality, but weakens the associations of social loss with need to be needed and symbolic immortality. Age weakens the relationship between symbolic immortality and video-creating intention.

This study is the first wave to introduce and integrate lifespan theories such as selective optimization with compensation model, socioemotional selectivity theory, and generativity theory to explore the impacts of aging experiences on middle-aged and elderly users' video-creating intention by considering generativity motivations as mediators and age as a moderator.

This study aims to unveil the pivotal components and implementation pathways in the digital innovation of smart tourism destinations, while constructing a theoretical framework from a holistic perspective.

The research focuses on 31 significant urban smart tourism destinations in China. Secondary data was collected through manual search supplemented by big data scraping, whereas primary data was obtained from interviews with municipal tourism authorities. Grounded theory was used to theoretically construct the phenomenon of digital innovation in smart tourism destinations.

This research has formulated a data-driven knowledge framework for digital innovation in smart tourism destinations. Core components include digital organizational innovation, smart data platforms, multi-stakeholder digital collaborative ecosystem and smart tourism scenario systems. Destinations can achieve smart tourism scene innovation through closed innovation driven by smart data platforms or open innovation propelled by a multi-stakeholder digital collaborative ecosystem.

Based on insights from digital innovation practices, this study proposes a series of concrete recommendations aimed at assisting Destination Management Organizations in formulating and implementing more effective digital innovation strategies to enhance the sustainable digital competitiveness of destinations.

This study advances smart tourism destination innovation research from localized thinking to systemic thinking; extends digital innovation theory into the realm of smart tourism destination innovation; repositions the significance of knowledge in smart tourism destination innovation; and constructs a comprehensive framework for digital innovation in smart tourism destinations.

本研究致力于揭示智能旅游目的地数字创新中的核心组件及实施路径, 并创建一个整体视角下的理论框架。

研究选定中国31座重要城市型智能旅游目的地为研究对象。通过人工检索结合大数据抓取的方式收集二手资料, 以各市旅游主管部门为访谈对象收集一手资料。运用扎根理论对智能旅游目的地的数字创新现象进行理论构建。

本研究构建了一个数据型知识驱动的智能旅游目的地数字创新框架。其中, 核心组件包括数字组织创新、智慧数据平台、多主体数字协同生态和智慧旅游场景体系。目的地可通过智慧数据平台驱动的内生型创新或多主体数字协同生态推动的开放式创新, 实现智能旅游场景创新。

本研究将智能旅游目的地创新相关研究由局部思考推向系统思考; 将数字创新理论扩展到智能旅游目的地创新的研究中; 重新定位知识在智能旅游目的地创新中的重要地位; 以及构建了一个智能旅游目的地数字创新整体框架。

本研究基于数字创新实践洞察, 提出了一系列具体建议。旨在帮助目的地管理组织更有效地制定和实施数字创新策略, 以增强旅游目的地可持竞争力。

La investigación se centra en 31 destacados destinos turísticos urbanos inteligentes de China. Los datos secundarios se recopilaron mediante una búsqueda manual complementada con técnicas de big data, mientras que los datos primarios se obtuvieron a partir de entrevistas con las autoridades turísticas municipales. Se empleó la teoría fundamentada para construir teóricamente el fenómeno de la innovación digital en los destinos turísticos inteligentes.

Esta investigación tiene como objetivo identificar los componentes esenciales y las rutas de implementación de la innovación digital en destinos turísticos inteligentes, y construir un marco teórico desde una perspectiva holística.

Este estudio ha desarrollado un marco de conocimiento basado en datos para la innovación digital en destinos turísticos inteligentes. Los componentes centrales incluyen la innovación organizativa digital, la plataforma de datos inteligentes, el ecosistema digital colaborativo de múltiples actores y el sistema de escenarios turísticos inteligentes. Además, tanto la innovación endógena impulsada por la plataforma de datos inteligentes como la innovación abierta impulsada por el ecosistema digital colaborativo de múltiples actores contribuyen a la innovación por escenarios en destinos turísticos inteligentes.

A partir de las prácticas de innovación digital, este estudio ofrece una serie de recomendaciones dirigidas a las Organizaciones de Gestión de Destinos (DMOs) para la formulación e implementación de estrategias de innovación digital de manera más efectiva, y mejorar la competitividad digital sostenible de los destinos turísticos.

Este estudio avanza la investigación sobre innovación en destinos turísticos inteligentes desde el pensamiento localizado hasta el pensamiento sistémico; extiende la teoría de la innovación digital al ámbito de la innovación en destinos turísticos inteligentes; reposiciona la importancia del conocimiento en la innovación de destinos turísticos inteligentes; y construye un marco integral para la innovación digital en destinos turísticos inteligentes.

Although leveraging social media to access healthcare information is nothing new, a boom in short video apps offers new potential for disseminating health-related information. However, it is still unclear how short video apps might facilitate and benefit users’ consumption of health information. Furthermore, the technology features of short video apps complicate attempts to conduct research about them; as a consequence, they have been understudied. For addressing these concerns, this study adopts an affordance perspective to investigate the relationship between affordances and user experience and to examine factors that contribute to users’ intention to continue using short video apps to obtain health information.

Drawing upon affordance theory, we constructed a research model that integrates four types of affordances (livestreaming, searching, meta-voicing and recommending), three types of user experience (immersion, social presence and credibility perception), and user’s intention to continue use. We employed an online survey and obtained a sample of 372 valid responses from TikTok (DouYin) users in China. The partial least squares (PLS) method was used to analyze the data.

The study found that the user experience, in terms of social presence, immersion and credibility perception, can significantly predict users’ intention to continue using short video apps to obtain health information. Furthermore, the user experience was positively associated with the different affordances provided by the short video apps.

The findings of this study have several implications. First, the study contributes to the health information behavior literature by incorporating the aspect of user experience. Moreover, the study extends the application of affordance theory to users’ health information acquisition, and it carries some practical implications on how to leverage the great potential of short video apps to serve public health communication better.