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Value co-creation (VCC) helps platforms establish competitive advantages. Unlike their traditional counterparts, social attribute is a key concept of social e-commerce platforms. This study integrates VCC and social network theories, introduces relational embeddedness and divides this variable into economic and social relational embeddedness to explore its impact on VCC intention. This study also explores the mediating and moderating roles of customers' psychological ownership (CPO) and regulatory focus, respectively.

A questionnaire survey was conducted among users of mainstream social e-commerce platforms in China, and the relationship among the variables was revealed through a structural equation modeling of 464 valid responses.

The dimensions of relational embeddedness positively affect CPO and VCC intention, with social relational embeddedness exerting the strongest effect. CPO positively affects VCC intention and partially mediates the relationship between relational embeddedness and VCC intention. Promotion and prevention focus positively and negatively moderate the relationship between CPO and VCC intention, respectively.

This study expands the VCC research perspective and links the VCC concepts to social network dynamics. From the relational embeddedness perspective, this study identifies the type and intensity of relational embeddedness that promotes users' VCC intention and contributes to theoretical research on VCC and relational embeddedness. This study also introduces CPO as an intermediary variable, thus opening the black box of this mechanism, and confirms the moderating role of regulatory focus as the key psychological factor motivating users' VCC intention.

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they also present a significant challenge for platform managers, who select high-quality innovations from a massive collection of information with diverse quality.

In this study, the authors employed a machine learning method to automatically collect a real dataset of 2,276 innovations and 30,004 detailed comments from the online platform of IdeaExchange and then conducted empirical experiments to verify the study hypothesis.

Results show that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness and openness to experience and the quality of an innovation.

Results showed that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness, openness to experience and the quality of innovations.

This study combined the Big Five personality traits theory and social network theory to examine the association between user intrinsic personality traits, social network position and the quality of their innovative ideas in the context of online innovation platforms. Additionally, the findings provide new insights for platform managers on how to select high-quality innovation information by considering user personality traits and their social network position.

This study focuses on perceived overload from environmental stimuli and individual psychology and behavioral interactions. It constructs a theoretical model with overload as the key stressor based on the stressor-strain-outcome (SSO) model. The authors argue that system feature overload (SFO), information overload, and social overload lead to two psychological strains: fear of missing out (FoMO) and fatigue among users of short video platforms, affecting their discontinuous usage intentions.

To test the hypotheses, the authors conducted a questionnaire survey on 412 users' short video platform usage and empirically tested the constructed model using the research tool SmartPLS 3.3.2.

The results of data analysis showed that most of the hypotheses were supported. Specifically, system feature overload, information overload and social overload all positively affected FoMO. However, SFO and information overload significantly affected fatigue. There was no significant relationship between social overload and fatigue. In addition, both FoMO and fatigue negatively influenced users' discontinuous usage intentions.

The current research on user behavior in information systems tends to focus on the influence in the positive direction and less on the negative direction. The research on discontinuous usage intention (DUI) is a very new research topic. This research studies the influencing factors of users' discontinuous behavior from the perspective of perceptual overload. It provides a unique view for future short video platform user behavior research, with significant theoretical contributions and essential practice for short video platform operators to improve services.

The purpose of this paper is twofold: to examine the role of online networks in employee engagement and to analyze the factors influencing leaders’ involvement in online social networking.

The study’s participants included team leaders, managers and directors working in Fortune 500 companies in the USA. Data were collected through structured surveys delivered through LinkedIn, professional online networking platform to randomly selected users with leadership roles. Totally, 194 matched questionnaires were returned.

The results indicate that employee engagement is positively associated with the time leaders spend on internal online networking platforms, the code of online networking conduct, and the presence of an open-organizational culture. Furthermore, the study shows that organizations can influence leaders’ use of online social networking platforms through an open culture and training. Finally, the findings also indicate that leaders, who communicate with a higher percentages of employees through internal and external platforms, also spend more time on online social networking platforms than those who do not. Surprisingly, a hierarchical structure and the code of conduct are not an indicator of the number of hours that leaders spend on online networking platforms.

The study has three main limitations. First, it was conducted among leaders working in companies from the Fortune 500 list, because the majority of these companies have already implemented internal networking platforms, which are not yet popular in small and medium enterprises (SME). In the future, companies from the SME sector are also worth studying. Second, the study was undertaken among leaders from the USA, because most of the online networking platforms were developed there and then adopted in other countries. Online networking trends in other countries are also very interesting topics for study in future research projects. Third, the quality of the time leaders spend on online platforms should also be examined in future studies.

The next generation of leaders should pay increasing attention to online social networking platforms so as to be more effective in fostering employees’ social and emotional well-being. Organizations that seek ways to facilitate involvement among their leaders in internal online networking, need to organize training and support leaders and employees in the use of online networking platforms.

The use of online social networking platforms change the way people communicate with others and how companies can use online social networking for the social well-being of their employees.

This research provides a new look at employee engagement in the current working environment as well as organizational features fostering leaders’ involvement in online networking.

The use of social networking websites by companies to disclose corporate news and by investors to collect information for investment purposes is increasing rapidly. However, the role of investors’ affective reactions to corporate disclosures on social networking websites is under-researched. This paper aims to examine how the disclosure platform (disclosing news on a company’s Facebook Web page or the corporate investor relations Web page) and news valence (positive or negative) jointly influence investors’ affective reactions to corporate news and stock price change judgments.

The authors conduct an experimental study using 364 participants from Amazon’s Mechanical Turk website as a proxy for reasonably informed investors.

Results show that the disclosure platform influences investors’ affective reactions and stock price change judgments when the corporate news is negative, but not when the corporate news is positive. In addition, investors’ affective reactions mediate the influence of the disclosure platform on investors’ stock price change judgments when the corporate news is negative rather than positive.

This paper extends the theory on affective reactions to a social networking context by showing that differences in disclosure platforms and news valence influence investors’ affective reactions to corporate news. In addition, the study’s theory and findings have significant implications for researchers, company managers and public relations specialists, capital market participants, regulators and investor education organizations and users of social networking websites.

As an increasing number of users have acquired information across the web and mobile platforms for social question and answering (Q&A), it is of interest to explore whether there are differences in social Q&A usages between the two platforms. The purpose of this paper is to compare web and mobile platforms of a social Q&A service from the user’s perspective in terms of three dimensions, namely, demographics, individual-based constructs, and information-based constructs.

Because Zhihu.com is one of the most popular social Q&A sites in China, the authors used online questionnaires to investigate its users’ perceptions of these three dimensions. From January to March 2016, the authors obtained 278 valid responses in total through snowball and convenient sampling. Collected data are analyzed through descriptive statistics and inferential statistics.

The results indicate that there exist significant differences between web users and mobile users on Zhihu.com in terms of gender, affinity, and information seeking. More specifically, compared to the male users, more female users rely on the mobile platform to access the information service; mobile users perceive higher affinity with Zhihu.com than web users; and mobile users perceive higher information-seeking intention than web users do.

Regarding the theoretical aspect, this study proposes a conceptual framework for comparison between the web and mobile platforms of social Q&A from the user’s perspective. Regarding the practical aspect, the comparative results of this study could give social Q&A service providers useful information about users’ differences between web and mobile platforms of social Q&A services.

Despite the importance of hosts who contribute to the success of accommodation sharing through sharing underutilized space with guests, current literature sheds little light on what exactly incentivizes hosts to grow their properties. The purpose of this study is to investigate the effects of multifaceted motivations including financial benefits, online social interaction and membership seniority and their interplay on hosts’ multiple listing behavior.

The study is instantiated on real-world business data collected from an accommodation-sharing platform in China. The data set includes 3,199 observations of 252 multi-listing hosts in Beijing who managed 815 properties from September 2012 to October 2016.

The study discloses that financial benefits, online social interaction and membership seniority significantly incentivize hosts to list multiple properties on the accommodation-sharing platform. In particular, the social incentive is the most important driver among the three. With a 1 per cent increase in online social interactions, the number of properties operated by a host would increase by 13.5 per cent. While the financial benefits and online social interaction motivate hosts to engage in the multi-listing behavior, such effects are significantly mitigated as the membership seniority increases.

This study adds to the extant literature a unique yet less researched perspective of supply expansion driven by hosts. It also provides important practical implications for managing multiple properties for a healthy and viable accommodation-sharing community.

While a majority of the extant research on the sharing economy primarily takes a consumer-related perspective, this study addresses a different and original topic about hosts’ multiple-listing behavior that drives the supply of accommodation sharing. It is a first empirical investigation of the increase of accommodation sharing supply with host motivations explained.

This paper aims to discuss the motivational factors affecting the knowledge sharing through an intra‐organizational social media platform and to answer the following research questions: “What motivates employees to share their knowledge through an intra‐organizational social media platform?”; “What impedes them sharing knowledge this way?”; and “Do these factors differ from those motivational factors regarding knowledge sharing in general?”.

The paper approaches the issue from both theoretical and empirical viewpoints. The motivational factors regarding knowledge sharing in general are summed up from literature. The social media platform perspective to the issue is studied by conducting a survey in two companies.

The results reveal that the motivation to share knowledge through an intra‐organizational social media platform is the desire to help the organization reach its goals and helping colleagues, while financial rewards and advancing one's career were seen as least motivating. The key issues enabling the success of using a collaborative intra‐organizational social media platform in knowledge sharing are in line with the general knowledge sharing motivational factors, although supplemented with some additional features: reciprocity in knowledge sharing, making every‐day work easier and faster and ease of use are the key factors that make or break the success.

The empirical study reveals what motivates and impedes the employees of the companies to share knowledge via an intra‐organizational social media platform. The results are discussed in the light of those from earlier research about general knowledge sharing motivational factors.

This paper explores knowledge sharing (KS) and intellectual capital (IC) impacts on the success rate of equity crowdfunding (EC) campaigns in the Italian market, which represents a new model for financing entrepreneurial initiatives.

The relation between KS, IC and the success rate of EC campaigns is analysed with a panel regression that measures IC through the value added intellectual coefficient. Social network analysis is used to measure KS in the users' network on Twitter for EC campaigning. Specifically, the authors consider the information users exchange on social networks as a proxy of KS and identify the hubs influencing information dissemination, the size and strength of networks for each EC campaign. Finally, the success rate of EC campaigns is a ratio of the number of positive campaigns to the total number of campaigns for each platform.

The success rate of EC campaigns is positively related to IC and significantly and positively related to the number of connections the EC platforms have.

The positive relationship between the hub role of social network platforms and the success of EC campaigns provides an important signal to crowdfunding operators. As more potential investors focus on an EC campaign, a bandwagon effect could involve uninformed investors. This result is crucial in order to better understand how social media activity affects crowdfunding success.

Although the literature has examined the impact of KS on general firm performance and the mediating role of intellectual capital, no prior studies have examined the impacts of KS and IC on the success rate of EC campaigns in a specific market.

The research goal is to understand what factors affect users' knowledge and information learning and sharing on social media platforms. This study focuses on the impact of platform characteristics on users' behavior. Specifically, the purpose of this study is to investigate (1) what factors affect users' learning and dissemination of knowledge and information on social media platforms, (2) whether knowledge and information learning behavior will have a positive effect on sharing behavior and (3) try to establish an impact model of users' learning and sharing behavior about knowledge and information.

This study proposes an impact mechanism model to test these hypotheses. To achieve this, the authors collected data from 430 users who have used the social media platforms to acquire and share knowledge and information to test the hypothesis. The tools SPSS 26.0 and AMOS 23.0 were used to analyze the reliability, validity, model fits and structural equation modeling.

The results show that the learning of knowledge and information can influence the sharing behavior on social media platforms. Users' platform-based trust and platform-based satisfaction affect their knowledge and information learning and sharing on the platform. Factors affecting users' trust in social platforms include privacy protection effectiveness and network effects. And, perceived usefulness and perceived ease of use are related to users' satisfaction with social media platforms.

This study constructs an impact model on the learning and sharing of knowledge and information. The model takes the information system continuance model as the theoretical framework and integrates other factors, including the network effect, the effectiveness of privacy protection and trust. Most of the hypotheses of this research were confirmed. The conclusions provide practical guidance for the dissemination of knowledge information and platform management.