Knowledge sharing in online health communities: A social exchange theory perspective

Online health communities (OHC) are becoming valuable platforms for patients to communicate and find support. These communities are different from general online communities. The knowledge shared in an OHC can be categorized as either general (public) or specific (private), and each category is shared in vastly different ways. Using the social exchange theory, we propose a benefit vs. cost knowledge sharing model for OHCs. The benefits are mainly based on Maslow's hierarchy of needs, and the cost includes cognitive and executional costs. We use this benefit vs. cost model to examine how OHC members share general and specific knowledge. Data were collected from 323 users of two well-known OHCs in China and were analyzed using the structural equation model. The results demonstrate that three factors positively impact the sharing of both general and specific knowledge: a sense of self-worth, members’ perceived social support, and reputation enhancement. Another factor, face concern, has a negative influence on specific knowledge sharing and a positive influence on general knowledge sharing. Executional cost only negatively impacts general knowledge sharing, and cognitive cost only negatively impacts specific knowledge sharing. This study of OHCs reveals that personal benefits promote knowledge sharing and costs prohibit it. These impacts vary between general knowledge and specific knowledge sharing.     

Examining knowledge contribution from the perspective of an online identity in blogging communities

Knowledge contribution is one of the essential factors behind the success of blogging communities (BCs). This research studies knowledge contribution behavior in a BC from the perspective of knowledge contributors and their characteristics using the lens of social identity theory. Social identity theory asserts that individuals are fundamentally motivated to present or communicate their identities in everyday social life through behavior. A similar line of reasoning can be used to argue that members of a BC would also be motivated to communicate their online identities through their behavior, that is, through knowledge contribution in the BC. Specifically, this study conceptualized the online identity and examined the effects of its personal (online kindness, online social skills, and online creativity) and social aspects (BC involvement) on knowledge contribution. The data was collected using an online survey from the members of Cyworld, a popular BC in South Korea and a few other countries (members from South Korea were included in this study). The results indicate that both the personal and social aspects of online identity and their interactions significantly influenced knowledge contribution. Based on the findings, this study offers suggestions to organizers of BCs to enhance the knowledge contribution from their members.     

An information security knowledge sharing model in organizations

Knowledge sharing plays an important role in the domain of information security, due to its positive effect on employees' information security awareness. It is acknowledged that security awareness is the most important factor that mitigates the risk of information security breaches in organizations. In this research, a model has been presented that shows how information security knowledge sharing (ISKS) forms and decreases the risk of information security incidents. The Motivation Theory and Theory of Planned Behavior besides Triandis model were applied as the theoretical backbone of the conceptual framework. The results of the data analysis showed that earning a reputation, and gaining promotion as an extrinsic motivation and curiosity satisfaction as an intrinsic motivation have positive effects on employees' attitude toward ISKS. However, self-worth satisfaction does not influence ISKS attitude. In addition, the findings revealed that attitude, perceived behavioral control, and subjective norms have positive effects on ISKS intention and ISKS intention affects ISKS behavior. The outcomes also showed that organizational support influences ISKS behavior more than trust. The results of this research should be of interest to academics and practitioners in the domain of information security.     

Personality traits and echo chambers on facebook

In online social networks, users tend to select information that adhere to their system of beliefs and to form polarized groups of like minded people. Polarization as well as its effects on online social interactions have been extensively investigated. Still, the relation between group formation and personality traits remains unclear. A better understanding of the cognitive and psychological determinants of online social dynamics might help to design more efficient communication strategies and to challenge the digital misinformation threat. In this work, we focus on users commenting posts published by US Facebook pages supporting scientific and conspiracy-like narratives, and we classify the personality traits of those users according to their online behavior. We show that different and conflicting communities are populated by users showing similar psychological profiles, and that the dominant personality model is the same in both scientific and conspiracy echo chambers. Moreover, we observe that the permanence within echo chambers slightly shapes users' psychological profiles. Our results suggest that the presence of specific personality traits in individuals lead to their considerable involvement in supporting narratives inside virtual echo chambers.     

Fostering the determinants of knowledge sharing in professional virtual communities

Professional virtual communities (PVCs), which are formed on the Internet, are expected to serve the needs of members for communication, information, and knowledge sharing. The executives of organizations should consider PVCs as a new innovation or knowledge pool since members share knowledge. However, many PVCs have failed due to members’ low willingness to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members’ knowledge sharing behavior in PVCs. This study develops an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of knowledge sharing, knowledge sharing behavior, and community loyalty. Empirical data was collected from three PVCs and tested using structural equation modeling (SEM) to verify the fit of the hypothetical model. The results show that trust significantly influences knowledge sharing self-efficacy, perceived relative advantage and perceived compatibility, which in turn positively affect knowledge sharing behavior. Furthermore, the study finds that the norm of reciprocity does not significantly affect knowledge sharing behavior. The results of the study can be used to identify the motivation underlying individuals’ knowledge sharing behavior in PVCs. By investigating the impacts of contextual factors and personal perceptions on knowledge sharing behavior, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote these determinants of knowledge sharing to stimulate members’ willingness to share knowledge and enhance their virtual community loyalty. As only little empirical research has been conducted on the impact of knowledge sharing self-efficacy, perceived relative advantage, and perceived compatibility on the individual’s knowledge sharing behavior in PVCs, the empirical evidence reported here makes a valuable contribution in this highly important area.     

Conference assistant system for supporting knowledge sharing in academic communities

This paper describes our ongoing attempts to build a communityware system by presenting a project of providing digital assistants to support participants in an academic conference. We provided participants at the conference with a personal assistant system with mobile and ubiquitous computing technologies and facilitated communication among the participants. We also made online services available via the Web to encourage the participants to continue their relationships even after the conference. In this paper, we show the system we provided for the project and report the results.     

Using peer-to-peer technology for knowledge sharing in communities of practices

Communities of Practices (CoPs) are informal structures within organizations that bind people together through informal relationships and the sharing of expertise and experience. As such, they are effective tools for the creation and sharing of organizational knowledge, and an increasing number of organizations are adopting them as part of their knowledge management strategies. In this paper, we examine the knowledge sharing characteristics and roles of CoPs and develop a peer-to-peer knowledge sharing architecture that matches the behavioral characteristics of the members of the CoPs. We also propose a peer-to-peer knowledge sharing tool called KTella that enables a community's members to voluntarily share and retrieve knowledge more effectively.     

Clicking vs. sharing: The relationship between online news behaviors and political knowledge

Online news and social media are transforming the process of news production and reading. While research has shown that news media play an important role in providing information to the public in democratic societies, research investigating the impact of sharing news online on the process of public opinion formation is in a nascent stage. This study examines the impact of viewing and sharing online news on two dimensions of political knowledge: factual knowledge and structural knowledge. Results from survey data collected over 3-waves during the 2012 US Presidential Election from an online panel of 403 US adult Internet users show that reading online news is positively related to factual political knowledge. Sharing online news, in contrast, is related to structural knowledge. We discuss these findings and their implications for future research investigating the role of online news.     

Altruistic traits and organizational conditions in helping online

Helping is more likely to occur when potential helpers can clearly understand the help-seeker’s needs and when they can freely choose whether to help or not. Information systems such as electronic bulletin boards, web communities, and knowledge management systems all satisfy these conditions. In order to explain helping behaviors in the workplace, we employ the personality traits of altruism and job autonomy, as well as the characteristics of the information systems used by employees in organizations. In this study, we conducted a survey of business persons who use information systems in the workplace. The results of our study indicate that altruism and job autonomy have both the main and interaction effects on the willingness to help others through information systems. With regard to the effects of the characteristics of information systems, the media richness of information systems exerts a positive impact on willingness to help. On the contrary, the size of the user group affects the willingness to help negatively, which reflects the bystander effect in the offline world. Implications for both researchers and practitioners are discussed.     

A knowledge grid model and platform for global knowledge sharing

This paper proposes a knowledge grid model for sharing and managing globally distributed knowledge resources. The model organizes knowledge in a three-dimensional knowledge space, and provides a knowledge grid operation language, KGOL. Internet users can use the KGOL to create their knowledge grids, to put knowledge to them, to edit knowledge, to partially or wholly open their grids to all or some particular grids, and to get the required knowledge from the open knowledge of all the knowledge grids. The model enables people to conveniently share knowledge with each other when they work on the Internet. A software platform based on the proposed model has been implemented and used for knowledge sharing in research teams.     

Collaboration and knowledge sharing in network organizations

A network organization comprises a new type of environment around which people organize themselves so as to reach a common objective. A network organization enables the recommended interaction among people with different backgrounds, which happens when the problems they deal with are complex and multidisciplinary. Most network organizations require interactions in a geographically distributed fashion, fostering the serious challenge of displaying coherence of purpose necessary for global efficacy as from local activity: these features require an environment with special functionality. This paper describes and analyzes a collaborative environment for support to knowledge sharing and coordination of actions in geographically distributed network organizations. A case-study using the collaborative environment is presented, and the results obtained by using this environment are discussed.     

The exploration factors of affecting knowledge sharing – The case of Taiwan’s high-tech industry

In the past, the studies on knowledge sharing tended to be focused on the organization and few paid attention to the departments inside the organization. In this study, valid samples were collected from Taiwan’s 92 IC related firms in the high-tech industry through the Hierarchical Random Sampling method for empirical analysis. The non-linear fuzzy neural network is used due to its capacity in accepting errors and low limitation. This method enables researchers to accurately assess the relations between variables. The result of this study indicated that the degree of formalization and complexity of the organizational structure is negatively and significantly correlated with knowledge sharing. Similarly, motivation through material reward correlates positively and significantly with knowledge sharing with stronger intensity than that between motivation through non-material reward and knowledge sharing. The degree of integration between organizations correlates positively and significantly with knowledge sharing.     

Distributed recommender for peer-to-peer knowledge sharing

A novel model of distributed knowledge recommender system is proposed to facilitate knowledge sharing among collaborative team members. Different from traditional recommender systems in the client-server architecture, our model is oriented to the peer-to-peer (P2P) environment without the centralized control. Among the P2P network of collaborative team members, each peer is deployed with one distributed knowledge recommender, which can supply proper knowledge resources to peers who may need them. This paper investigates the key techniques for implementing the distributed knowledge recommender model. Moreover, a series of simulation-based experiments are conducted by using the data from a real-world collaborative team in an enterprise. The experimental results validate the efficiency of the proposed model. This research paves the way for developing platforms that can share and manage large-scale distributed knowledge resources. This study also provides a new framework for simulating and studying individual or organizational behaviors of knowledge sharing in a collaborative team.     

Managing knowledge sharing: Emergent and engineering approaches

We wished to determine how the process of knowledge sharing could be managed, seeing that it is a knowledge management dilemma. If knowledge sharing is crucial to an organization’s interests, but is inherently emergent in nature, how can the organization still manage the process? In order to answer this question, a distinction was made between two approaches towards managing knowledge sharing: an emergent approach, focusing on the social dynamics between organizational members and the nature of their daily tasks, and an engineering approach, focusing on management interventions to facilitate knowledge transfer. While the first is central to today’s thinking about knowledge, we used a field study in six organizations to show that both approaches have value in explaining knowledge sharing. Instruments that are part of the engineering approach create conditions for variables in the emergent approach, which in turn also exert a direct influence on knowledge sharing.     

The role of knowledge sharing self-efficacy in sharing Open Educational Resources

In the current paper we report on a study regarding teachers’ sharing behavior regarding their Open Educational Resources (OER) in the Netherlands. Little is known about how many teachers actually share their learning materials and, therefore, an attempt was made to estimate the number of Dutch teachers and the types of OER they share. Second, we tried to find out whether knowledge sharing self-efficacy facilitated, and evaluation apprehension and trust inhibited teachers to share OER in two different contexts of sharing behavior; sharing with colleagues at their school (interpersonal sharing) and sharing with the public through Internet (Internet sharing). A survey among 1568 teachers from primary to higher education was undertaken to test the relative importance of knowledge sharing self-efficacy, evaluation apprehension and trust in determining Dutch teachers’ intention to share. The results showed that a large proportion of the Dutch teachers shared their OER, but that this sharing was limited to learning materials with low complexity (e.g., texts or images). Moreover, sharing occurred twice as much interpersonally than via websites. Our hypothesis that evaluation apprehension is significantly related to sharing behavior as well as the intention to share was not confirmed. Self-efficacy to share knowledge did, however, explain some of the differences in sharing behavior and in the intention to share of Dutch teachers, although the variables under study accounted only for a small amount of variance. Our findings should thus be replicated in further studies and other variables should be considered that could effectively predict OER sharing behavior of teachers.     

Profiling good Samaritans in online knowledge forums: Effects of affiliative tendency,self-esteem,and public individuation on knowledge sharing

Two studies investigated what motivates knowledge sharing in online knowledge forums. Based on the uses and gratifications model, we hypothesized that individuals would respond to information requests broadcast by unknown others to fulfill their needs for social interaction (affiliative tendency), to maintain a positive self-image (self-esteem), or to proclaim one’s uniqueness (public individuation). Consistent with the hypotheses, a web-based survey with current users of a public knowledge sharing site found that those with stronger affiliative tendency, higher self-esteem, or stronger public individuation were more likely to contribute to the open information repository (Study 1). However, a 2 (social presence: low vs. high) × 2 (recognition rewards: absent vs. present) between-subjects design experiment also showed that these psychological traits significantly enhanced individuals’ intention to share knowledge on a public web site, only when other users’ presence was rendered salient and individual contributions were visibly acknowledged (Study 2).     

Document recommendation for knowledge sharing in personal folder environments

Sharing sustainable and valuable knowledge among knowledge workers is a fundamental aspect of knowledge management. In organizations, knowledge workers usually have personal folders in which they organize and store needed codified knowledge (textual documents) in categories. In such personal folder environments, providing knowledge workers with needed knowledge from other workers’ folders is important because it increases the workers’ productivity and the possibility of reusing and sharing knowledge. Conventional recommendation methods can be used to recommend relevant documents to workers; however, those methods recommend knowledge items without considering whether the items are assigned to the appropriate category in the target user’s personal folders. In this paper, we propose novel document recommendation methods, including content-based filtering and categorization, collaborative filtering and categorization, and hybrid methods, which integrate text categorization techniques, to recommend documents to target worker’s personalized categories. Our experiment results show that the hybrid methods outperform the pure content-based and the collaborative filtering and categorization methods. The proposed methods not only proactively notify knowledge workers about relevant documents held by their peers, but also facilitate push-mode knowledge sharing.     

Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator

The Internet is a communication channel that allows individuals to share information and knowledge. However, it is not obvious why individuals share knowledge with strangers for no apparent benefit. What are the critical factors influencing such behavior? To attempt to understand this paradox, we combined the theories of social capital and individual motivation to investigate the factors influencing knowledge sharing behavior in a virtual community, applying a participant involvement concept to analyze the moderating effects of individual motivation on knowledge sharing behavior. By analyzing the results of a survey using a questionnaire, we found that altruism, identification, reciprocity, and shared language had a significant and positive effect on knowledge sharing. Reputation, social interaction, and trust had positive effects on the quality, but not the quantity, of shared knowledge. Participant involvement had a moderating effect on the relationship of altruism and the quantity of shared knowledge. Theoretical and managerial implications are discussed.     

Use of collaborative technologies and knowledge sharing in co-located and distributed teams: Towards the 24-h knowledge factory

The relocation of knowledge work to emerging countries is leading to an increasing use of globally distributed teams (GDT) engaged in complex tasks. In the present study, we investigate a particular type of GDT working ‘around the clock’: the 24-h knowledge factory (Gupta, 2008). Adopting the productivity perspective on knowledge sharing ([Haas and Hansen, 2005] and [Haas and Hansen, 2007]), we hypothesize how a 24-h knowledge factory and a co-located team will differ in technology use, knowledge sharing processes, and performance. We conducted a quasi-experiment in IBM, collecting both quantitative and qualitative data, over a period of 12 months, on a GDT and a co-located team. Both teams were composed of the same number of professionals, provided with the same technologies, engaged in similar tasks, and given similar deadlines. We found significant differences in their use of technologies and in knowledge sharing processes, but not in efficiency and quality of outcomes. We show how the co-located team and the GDT enacted a knowledge codification strategy and a personalization strategy, respectively; in each case grafting elements of the other strategy in order to attain both knowledge re-use and creativity. We conclude by discussing theoretical contributions to knowledge sharing and GDT literatures, and by highlighting managerial implications to those organizations interested in developing a fully functional 24-h knowledge factory.