ACTIVE PARTICIPATION IN PROBLEM SOLVING VIRTUAL COMMUNITIES: A LEARNING PERSPECTIVE

Active participation of members is considered essential to the success of virtual communities. We incorporated the Adaptive Structuration Theory and Expectancy-Value Theory to propose a conceptual model in explaining active participation in problem solving virtual communities from a learning perspective. In this model, learning orientation and learning expectancy were identified as predictors of active participation according to Expectancy-Value Theory. We further analyzed the influence of structural feature (community adaptivity) and structural spirits (leadership and conflict management) based on Adaptive Structuration Theory and suggested that they would affect active participation through learning expectancy. The theoretical model presented in this article provided a fresh perspective on problem solving virtual community and we hope the findings would suggest important implications for the design and management of problem solving virtual communities

ACTIVE PARTICIPATION IN PROBLEM SOLVING VIRTUAL COMMUNITIES: A LEARNING PERSPECTIVE

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Knowledge Adoption in Virtual Community: Exploring The Moderating Effect of Learning Orientation

This study aims to investigate the evaluation determinants of online knowledge adoption. Knowledge transfer in online context has been debated by many researchers but mainly addressed the knowledge sharing aspect. Knowledge recipient, however, is also a critical role in knowledge transfer. Thus, dual process theory is rooted as the theoretical foundation to investigate the persuasiveness of knowledge from virtual communities. A theoretical model of knowledge adoption suggests argument quality and source credibility would be moderated by the knowledge seekers’ learning orientation. The results of this study will be helpful to understanding the individuals how to evaluate and learn online knowledge. Furthermore, the moderator’s effect of the learning orientation may indicate how the personal learning characteristic affects the online learning behavior

Survey on Classification of Online Reviews Based on Social Networking

For what reason would individuals like to vote in favor of or against content at some online groups and not at others? Social foraging hypothesis, mainly research on insect and other animal information sharing behavior, it provides new approach. Obtaining ideas from social searching hypothesis, this survey suggests that four components drive individuals' goal to vote online content (positive or negative): 1) altruistic intentions; 2) identification with the community; 3) data quality; and 4) learning self-adequacy. The survey show was tried in a study of online news groups. It found that positive voting goal was anticipated by altruistic motives, identification with the community, and learning self-adequacy. Data quality is critical for positive voting; however, it works in a indirect way through cultivating more group recognition. Negative voting expectation was anticipated by altruistic motives and data quality. Earlier research has connected through searching hypothesis to people acting alone, e.g., when an individual uses Google to search for data on the web. This survey grows the utilization of searching hypothesis to the group surroundings where people give votes to impact others in their selected group. The discoveries advance our insight about content voting and give suggestions to experts of voting systems

Taking Shopping Advice from Virtual Communities

As the proliferation of Internet, people getting used to search information online, consumers who need decision support for purchase also looking for advice through Internet, or ask for advice within virtual communities. In order to understanding the advice taking behavior provided by community members, this study tries to identify the antecedents of advice taking by normative social influence that is suitable in the context of virtual communities. The mediation layer, the informational influence utilizes to predict the consumers’ advice taking intention. Based on these two kinds of social influence, the investigation would be conducted by testing two factors in each kind of social influence: advice rating and consistency conceive as normative factors whereas advice quality and advisor credibility represent the informational influence. According to the results the factors of social influence both exert significant effects on the informational factors. In addition, the informational factors also have salient impacts on the advice taking

MATERNAL IDENTITY AND MATERNAL ROLE ATTAINMENT – DETERMINANTS OF MOTHERS\u27 PARTICIPATION IN MATERNAL VIRTUAL COMMUNITIES

The importance of local communities for mothers has been well documented in the social literature. However local communities have changed significantly in the last decades due to a number of cultural factors, including women’s increased participation in paid workforce and increasing geographical distance between family members. As easily accessible, location independent substitutes of local communities, maternal virtual communities (VC) have evoked an increased interest in the recent years. A considerable amount of literature has been published on the factors affecting members’ participation behaviour in various types of VCs. However only limited research has focused on their specific form targeting mothers and future mothers as main audience. Subsequently, there is only limited understanding of what motivates especially mothers to actively participate in maternal social networks. Hence to fill this research gap, the primary goal of our planed research is to provide some understanding of the crucial factors that determine mothers’ participation behaviours in maternal VC environments. Integrating the Technology Acceptance Model and the Updated Virtual Community Model extended by two new social factors Maternal Identity and Maternal Role Attainment we propose a research that might contribute to the newly evolving research stream on maternal motivation to participate in VCs

Data mining techniques for portal participants profiling

Recently, a large number of virtual learning communities appeared in the Web, however,keeping them up occurs to be problematic and information accessibility is one of the factors thatmay influence their sustainability. This feature may be achieved by dividing users into groupsaccording to their information needs and by adapting properly the portal contents. In the paperapplication for data mining algorithms, for finding patterns together with different groups ofpreferences is considered. We base our research on the data contained in log files. Combination ofsequential pattern mining and clustering techniques is proposed. We describe the data preparationprocess. The experiments conducted for real data log files are discussed

Implementation of Virtual Learning Community and Web 2.0 Technologies under COVID-19 Pandemic in High Education: Opportunities and Challenges

Educational systems worldwide are facing unprecedented challenges that have arisen due to the COVID-19 pandemic. In response to the pandemic, many higher education institutions suspended face-to-face courses and shifted to distance teaching and learning. This major paper reviews the challenges higher education institutions faced after the COVID-19 outbreak, the necessity of implementation of virtual learning communities, and the use of Web 2.0 technologies in teaching and learning. The findings indicate the implementation of virtual learning communities in higher education can reduce the sense of isolation, encourage interactions, and build a support network during the pandemic

Understanding User Acceptance of Micro-Blog Services in China Using the Extended Motivational Model

The growing popularity of micro-blogs has drawn an increasing amount of attention from users keen to expand friendship, facilitate information sharing and information seeking. Given the extensive use of micro-blog services, there is a pressing need to understand users’ behavioral intentions in micro-blog services. Although there are some studies exploring the factors explaining micro-blog users’ acceptance, none of research has been reported from both of the technological characteristics and network effects of micro-blog services. This study extended motivational model with socio-technical approach as a theoretical framework to examine the roles of technological factors and network effect factors in determining micro-blog users’ behavioral intentions. This study suggests that interactivity, convenience, accessibility, network size, existing social contacts, performance expectancy, sense of belonging and hedonic expectancy together provide a strong explanation for micro-blog use intention. The results of this study provide directions for system administrators and service providers to achieve higher levels of micro-blog usage by developing multi-faceted strategies