Understanding information disclosures and privacy sensitivity on short-form video platforms: An empirical investigation

As a new social media platform, short-form video apps integrate the dual functions of e-commerce and social networking. The proliferation and high penetration rate of this kind of app have resulted in online user concerns about the privacy security problems exposed by such platforms. This study focuses on better understanding the impact mechanism of private information disclosure behaviors and obtained benefits on privacy concerns of short-form video platform users. We analyzed the behavioral and privacy setting data of 35,456 users registered on the TikTok platform. The results demonstrated a correlation between use behaviors (e.g., participation and interest) and privacy sensitivity, among which popularity, as a form of external feedback, played a mediating role. In addition, the official certification provided to users by the platform moderated the impact of user popularity on privacy sensitivity. This study enriches the understanding of the correlation between privacy concerns and information disclosure behavior and suggests practical implications for the design of privacy settings and protections by short-form video platforms.     

Platform perspective verse user perspective: The role of expression perspective in privacy disclosure

This study investigates how the expression perspective impacts privacy disclosure when presenting privacy authorization interfaces to users. Using a series of five experiments, the authors discovered that potential users are more inclined to reveal personal information when authorization statements are presented from the user expression perspective (UEP) rather than the platform expression perspective (PEP). This finding is driven by users' perceptions of greater psychological ownership over personal data (POPD) from the UEP as opposed to the PEP. An EEG experiment also reveals that users pay less attention (a lower P2 amplitude) to the UEP (vs. PEP), decreasing the complexity of decision-making (a lower N2 amplitude). This effect persists even when the perceptual load is low but is attenuated under a high perceptual load. The current study contributes to the literature on linguistic framing and privacy disclosure, providing guidelines for platforms to effectively and ethically acquire users' private information.     

How attachment affects user stickiness on live streaming platforms: A socio-technical approach perspective

User stickiness is an important factor in the development of live streaming shopping platforms, which describes the degree of users' attention to the platforms. Although some e-commerce websites have provided live streaming services to improve the purchase experience of consumers, few people know how the services affect user stickiness. Building upon attachment theory and socio-technical approach, we developed a theoretical model to understand how live streaming service affects the user stickiness through users' attachment, which is tested by using 425 live streaming shopping platform's users. The results showed that technical factors (synchronicity and vicarious expression) and social factors (interaction and identification) positively affect emotional attachment to streamers and platform attachment respectively, which in turn increase the user stickiness.     

Antecedents of mobile payment loyalty: An extended perspective of perceived value and information system success model

Drawing on the information system success model and perceived value theory, we develop a research model to examine factors that may affect user satisfaction and loyalty of mobile payment platforms. Empirical data was collected from users using Alipay and WeChat Pay in China, and a total of 410 valid responses were gathered for data analysis. The results show that the multi-dimensional formative perceived value including benefits and sacrifice is important determinant of mobile payment user satisfaction and loyalty. The three benefit dimensions of functional value, experiential value and social value are more important value components than the two sacrifice dimensions of risk and cost, and experiential value is the dominant component of mobile payment users' value perception. As for the antecedents of perceived value, system quality and service quality mainly affect perceived benefits, while information quality has a greater impact on risk. The research results provide the contribution of specific value dimensions to users' perceived value and the impact of quality characteristics on specific perceived value for mobile payment platform providers, thus helping them to adopt effective strategies to strengthen market competitiveness and retain existing users.     

Manufacturer encroachment with competing dual-purpose online retail platforms

This study investigates the manufacturer encroachment strategy within a supply chain composed of a manufacturer and multiple competing dual-purpose online retail platforms who value profit and consumer surplus. We examine the strategic interactions among manufacturer encroachment, platform dual-purpose concern, and retail competition. Some interesting results are obtained. First, with a single platform, the manufacturer's encroachment incentive exhibits a non-monotonic relationship with respect to the platforms' concern of consumer surplus. However, with multiple competing platforms, the increased concern of consumer surplus and retail competition intensity dampen the manufacturer's encroachment incentive. Second, manufacturer encroachment benefits platforms (supply chain) only when the platform's concern of consumer surplus is low and commission fee is moderate (low enough). Moreover, the increased retail competition intensity and the platform's concern of consumer surplus further aggravate the detrimental effect of manufacturer encroachment on the platforms and supply chain. Third, the dual-purpose concern of the platforms may hurt consumer surplus, whereas the increased retail competition intensity may contrarily alleviate this adverse effect to some extent. Finally, the profits for the platform and supply chain and consumer surplus are non-monotonic with respect to the platform's concern of consumer surplus.     

Metaverse mingle: Discovering dating intentions in metaverse

The present work represents a mixed-method investigation to redefine Elaboration Likelihood Model (ELM) using some innovative variables to investigate dating-partner behaviour in the metaverse. In addition, it seeks proof that realistic threat and perceived trust have a moderating role in this proposed model. The research is split into two parts: in the first stage, dating app users' responses have been collected from online reviews posted on social media sites. Python have been used to find out the constructs from the content analysis. Then using the constructs second phase have been started where the model has been validated by confirmatory analysis. Perceived trust moderates the association between perceived attitude and dating intention in Metaverse whereas realistic threat don't have. Our research showed that apart from perceived accuracy of information all the other factors are having significant association towards perceived attitude. Our findings highlight the importance of both channels in persuading consumers to try out metaverse dating. In order to earn the users' trust, they must resolve their concerns over privacy and security in the online world. To achieve this, strict user verification and security procedures should be implemented.     

Online Behavioral Advertising: A Literature Review and Research Agenda

Advertisers are increasingly monitoring people's online behavior and using the information collected to show people individually targeted advertisements. This phenomenon is called online behavioral advertising (OBA). Although advertisers can benefit from OBA, the practice also raises concerns about privacy. Therefore, OBA has received much attention from advertisers, consumers, policymakers, and scholars. Despite this attention, there is neither a strong definition of OBA nor a clear accumulation of empirical findings. This article defines OBA and provides an overview of the empirical findings by developing a framework that identifies and integrates all factors that can explain consumer responses toward OBA. The framework suggests that the outcomes of OBA are dependent on advertiser-controlled factors (e.g., the level of personalization) and consumer-controlled factors (e.g., knowledge and perceptions about OBA and individual characteristics). The article also overviews the theoretical positioning of OBA by placing the theories that are used to explain consumers’ responses to OBA in our framework. Finally, we develop a research agenda and discuss implications for policymakers and advertisers.     

Institutional trust and repurchase intention in the sharing economy: The moderating roles of information privacy concerns and security concerns

The sharing economy has accumulated a great number of experienced users, which makes repurchase behaviors a major concern. This research concentrates on two types of institutional trust, namely, trust in the platform and trust in the community of providers, and their various effects in shaping repurchase intention under different conditions specified by the innate human perception of risks. Drawing upon the privacy calculus model, we identify two types of risk-related perceptions, i.e., information privacy concerns and security concerns, as the primary situational factors for trust to take effect. We then propose a model to illustrate how these two types of trust operate under the boundary conditions specified by information privacy concerns and security concerns. Our findings based on experienced users of sharing accommodation platforms in China suggest that both types of institutional trust can promote repurchase intention, and their effects are moderated by both information privacy concerns and security concerns to varying extents. In doing so, our study contributes to the existing studies by confirming the essential role of institutional trust in driving repurchase behaviors and by adding a new understanding of institutional trust in platform-based businesses such as the sharing economy.     

Logistics mode strategy of firms selling fresh products on e-commerce platforms with private brand introduction

The popularity of online shopping has enticed many firms selling fresh products to establish third-party stores on e-commerce platforms. For those firms. adopting which logistics mode between platform logistics and third-party logistics (TPL) for their third-party stores is the real decision problem. Moreover, many platforms have introduced their private brands of fresh products to occupy more make share, which will inevitably affect firms' operation strategies. To explore the optimal logistics mode strategy of firms selling fresh products on platforms and the impacts of platform private brand introduction on those firms' operation strategies, four theoretical models are constructed. Main results show that regardless of whether platforms have introduced their private brands of fresh products or not, the optimal logistics mode strategy depends on the sizes of the platform logistics cost and the service level difference between platform logistics and TPL. Furthermore, introducing platform private brands of fresh products will increase firms' willingness to adopt TPL for their third-party stores on platforms. These main results are robust considering the existence of fresh product supplier and different consumer's sensitivity to freshness-keeping efforts.     

App Users Unwittingly in the Spotlight: A Model of Privacy Protection in Mobile Apps

Mobile apps are increasingly jeopardizing app users' online privacy by collecting, storing, and sharing personal data disclosed via apps. However, little is known about mobile app users' current privacy protection behavior and the factors that motivate it. Drawing on Roger's Protection Motivation Theory (PMT), this study develops and tests the App Privacy Protection Model among 1,593 Western European app users. The results demonstrate that, on the one hand, increased levels of perceived self‐efficacy, vulnerability, and privacy concern enhance mobile app users' motivation to engage in risk‐reducing behavior, while on the other hand, higher levels of knowledge of the data collection practices of mobile apps, app attitude, and perceived response costs diminish it. Being the first study that applies PMT in the mobile app context, this study offers several important implications regarding privacy protection in mobile apps.     

补贴策略在网络零售平台竞争中真的有效吗？——基于寡头竞争模型的理论与实证研究

文章基于双边市场理论与经典寡占模型，在推导出网络零售平台竞争静态结果的基础上，结合数值模拟方法推导出长期动态最优补贴率的选择，研究补贴策略在网络零售平台竞争中的应用。数理模型推导发现：(1)从短期看，为了在激烈的竞争中“活下去”，网络零售平台通过补贴获得更多用户和更高的市场份额，且消费者价格敏感度越大，补贴率的增加对用户数量增长的促进作用越大；(2)从动态和长期看，为实现可持续运营，最优补贴力度将随时间变化而呈倒U形变动趋势--即初始阶段逐步提高补贴力度，过了某个时段后将逐渐平缓降低补贴力度。文章选取中国三个主要网络零售平台上市财报数据进行经验分析，证实了数理模型推导出的主要结论。文章回答了网络零售平台是否应采取补贴策略、补贴力度的确定以及补贴力度如何随时间而变化等基本问题，对理解网络零售平台补贴策略的基本逻辑，对优化网络零售平台治理，均有重要的借鉴价值。     

Platform quality factors influencing content providers’ loyalty

This study investigates what platform quality factors affect the contents of the loyalty of content providers to support the continued expansion and sustainability of online platforms. It analyses empirically the influence of platform quality on the satisfaction with and loyalty to the service as well as on the platform's ability to secure content providers from a survey of 222 platform users. It confirms five significant findings for platform quality and user loyalty. First, all five factors of SERVQUAL have meaningful effects on platform user satisfaction. Second, factors affecting service quality differ by gender. Third, while male users regard platform technology as most critical, female users are more concerned about platform events and interests. Fourth, female users care more about customer responses than male users do; however, the user interface is the most critical aspect for both genders. Finally, platform quality has a significant impact on satisfaction and loyalty among content providers. It identifies the importance of platform service quality as a factor to increase user (content providers) loyalty on the platform. And it also investigates differences according to user gender by subdividing platform service users and indicates how service quality effects can change according to user characteristics.     

How does ad relevance affect consumers' attitudes toward personalized advertisements and social media platforms? The role of information co-ownership,vulnerability, and privacy cynicism

Consumers' responses to the use of their personal data for personalized advertising by platform providers are paradoxical. Drawing from psychological ownership theory and the collective information boundary, this study examines how the social relevance and personal relevance of ads impact consumers' attitudes toward advertisements and social media platforms. Basing on 350 responses, we confirm that perceptions of information co-ownership and feelings of vulnerability play a serial mediating role in the positive relationship between ad relevance and consumer attitudes. Specifically, ad relevance increases consumers' perceptions of social media platforms as co-owners of their personal information, which in turn reduces feelings of vulnerability and improves their attitudes toward personalized advertisements and social media platforms. Privacy cynicism negatively moderates the indirect effects of information co-ownership perceptions on two attitude variables mediated through feelings of vulnerability. Our research findings provide a new perspective on the personalization–privacy paradox and offer platform providers new insights into improving their personalized advertising performance and user–platform relationships.     

Checkout button and online consumer impulse-buying behavior in social commerce: A trust transfer perspective

To enhance social media users' shopping experiences, social media platforms launched an online shopping feature – the checkout button –allowing users to browse new products, examine items via multiple photos and videos, and purchase items without leaving the platform. Yet, few studies have examined the impacts of the ‘checkout button’ on social commerce users' perceptions and impulse-buying behaviors. Thus, this study seeks to investigate the impact of the ‘checkout button’ on consumers' trust and impulse-buying behavior based on the trust transfer theory, as well as how the impact will differ based on social factors and brand familiarity in social commerce. This study provides valuable insights into social commerce. Checkout within Instagram does not facilitate impulse-buying behavior, but brand familiarity and social factors influence consumer trust and impulse-buying intention. This indicates that well-known brands might be more suitable for social commerce. Furthermore, active social interaction is conducive to impulse-buying intentions in social commerce.     

When Online Visibility Deters Social Interaction: The Case of Digital Gifts

One of the defining features of online social networks is that users' actions are visible to other users. In this paper, we argue that such visibility can have a detrimental effect on users' willingness to exchange digital gifts. Gift giving is an intimate activity that comes with social risk, and the public nature of online environments can deter interactions that usually occur in smaller, more intimate settings. To study the effects of online visibility on the decision to give, we analyze a unique dataset from a large online social network that offers users the option of buying a digital gifting service. We find that purchase rates of the service increased with the number of ties that users kept on the network, but decreased with the extent to which those ties were connected to each other. We argue that the latter effect is due to the fact that, when a user's ties are connected, any gift sent between the user and one tie is visible to their mutual contacts. We explore how characteristics of users' networks moderate the effect of online visibility, and argue that firms should take consumer network structure into account when designing digital products and promoting engagement online.     

Can users embed their user experience in user-generated images? Evidence from JD.com

Nowadays, massive user-generated images (UGIs) are posted online to convey users' experiences with specific brands or products. Thus, this visual information is precious, as it conveys users' actual and subjective feelings about brands and products. Because of the unprecedented quantity of images and the heterogeneity of their content, it is quite challenging for brand marketers and retailers to probe into subjective user experience in large-scale UGIs. To address this gap, this study aims to identify the connection between user experience and different image semantic features (i.e. centrality and richness) by using deep learning models. By employing objective data (8963 images) from JD.com and using deep learning algorithms (faster R-CNN), we found that users with positive user experience prefer to generate high-centrality and high-richness pictures. Our study enriches the relevant literature and provides valuable practical implications for brand marketers and e-commerce retailers. Based on findings of this work, relevant stakeholders can understand their users’ experience better from objective UGIs and devise corresponding recommendation and service strategies.     

Why we watch others' responses to online advertising – investigating users' motivations for viewing user-generated content in the context of online advertising

The study investigates Internet users' motivations for viewing user-generated content (UGC) in the context of online advertising. In addition, it is examined whether individual motivation patterns can be traced back to users' personalities and their attitudes toward advertising in general. An online survey of 181 social media users was conducted, surveying users' motivation, personality (big five), and attitude toward advertising in general. Path analysis was employed to examine the research model. The use of UGC was motivated by needs for information, entertainment, personal identity, and social interaction. While personality did not predict users' motives, their attitudes towards advertising in general explained individual motivation patterns to a large extent. It was consequently proposed and confirmed that users' motives mediate the influence of recipients' general attitude toward advertising on UGC usage. Results indicated a strong effective potential for UGC in online advertising: users view such content expressly to be influenced by others fulfilling their needs for information, personal identity and social interaction. Firms may lose some of their ability to precisely control brand messages when advertising in social media.     

Self-Regulatory Safeguards and the Online Privacy of Preteen Children

Online advertisers are increasingly enjoying the ability to target messages to specific segments based on information collected at Web sites. Information collection, particularly from children, has been an ongoing concern of regulators, consumer advocates, and advertising industry organizations. Although the U.S. Federal Trade Commission (FTC) has advocated the implementation of safeguards (such as warnings, threats, and barriers) designed to limit children's online disclosure of sensitive information, little research to date has examined the effectiveness of these safeguards. We address this issue by first examining the current state of online safeguards for Web sites that target preteen children, a group shown to be particularly vulnerable to the persuasive efforts of marketers. We then present a quasi-experimental investigation of online safeguard types and how their effectiveness in limiting preteen information disclosure is moderated by the mediation strategies of parents. Implications for advertisers, policymakers, parents, and educators are discussed.     

Experiential goods with network externalities effects: An empirical study of online rating system

This paper uses online users' reviews and sales information from May 2003 to March 2007 to study a new experiential product: online video game (or virtual world). The results suggest that, first of all, for a hedonic product such as an online video game, the availability of online review system could not fully transform experience attributes into search attributes. The empirical study confirms that negative word-of-mouth has more significant impact than positive reviews. The study empirically verifies that the existence of direct network externalities (i.e. a product's value increases when more consumers join the network) is crucial for a hedonic product. The size of the user base signals the quality of the game, and works like a search attribute for potential users. A large user base will reduce the negative impact from unfavorable reviews.     

互联网反垄断能促进数据隐私保护吗?

数据隐私通常被视为产品质量的一部分，可以通过反垄断法的实施来提升对其的保护程度。但是，对于互联网企业而言，由于双边市场的特质，需要通过获取用户数据来提供服务。竞争的加剧会使得企业需要更多的数据来获得竞争优势。对于用户来说，由于数据获取的隐蔽性、认知的局限性以及对于产品价格过度敏感，充分的竞争也难以让用户选择隐私保护程度更高的企业。正是由于市场竞争存在这些局限性，所以通过反垄断法很难实现提升隐私保护的效果。