Do Users Mind the Brand Engagement? The Effect of Brand Engagement in Knowledge Sharing Virtual Community

Although previous studies have discussed antecedent mechanisms for user participation and the value it creates in the brand community. Few studies discuss the role of brands, communities, and users in the co-creation of value when virtual communities are established based on users\u27 interests or needs. This paper explored the effect of brand participation on user community engagement intentions/behaviors in virtual communities. Data was collected from China by online survey and empirical analysis was used for hypotheses testing. The result shows that when brands participate in virtual communities, the higher the user\u27s engagement intention, the easier it is for them to make knowledge contribution, which will promote the development and operation of virtual communities. What’s more, in the context of brand participation, brand interactivity will affect the user\u27s community engagement intention and thus the user\u27s knowledge contribution, which will prompt the development of a virtual community. These findings confirmed that virtual community can help to implement circle marketing, interact with consumers, improve consumers\u27 willingness to participate actively, and have positive practical significance for the government and firms

The Influence of Psychological Safety and Personality on Technology Acceptance of Team-Based Technology in Global Virtual Teams

Collaboration platforms for teams, such as Slack, are increasingly used in virtual teams. Conventional wisdom suggests attitudes about adopting these types of platforms is primarily driven by their affordances. Our project emerged from the premise that psychological safety and personality traits can also significantly influence attitudes related to technology adoption. This research of roughly 300 global virtual teams showed that psychological safety influences views of collaboration platforms in terms of performance expectancy, effort expectancy, and hedonic motivation. In addition, this research showed that personality traits influence views of collaboration platforms. These findings about psychological safety and personality traits suggest a team-development approach is an integral component of the technology adoption process. Recommendations for future research are provided

Exploring How Environmental and Personal Factors Influence Knowledge Sharing Behaviour Leads to Innovative Work Behaviour in Vietnamese Higher Education Institutions

The Vietnamese Government has been struggling to build a higher education system that is innovative to the requests of national knowledge-based development. It is essential to explore knowledge sharing behaviour (KSB) from environmental and individual perspectives. It can help to contribute to innovative work behaviour (IWB) towards knowledge-based development initiatives, in particular regarding the phenomenon of knowledge sharing (KS) in Vietnamese higher education institutions (HEIs). The aim of this research-in-progress is to propose a research model based on social cognitive theory (SCT) that comprises environmental factors (subjective norms, trust), personal factors (knowledge self-efficacy, rewards, reciprocity), KSB and IWB. We advance to conduct a survey to examine our proposed conceptual model. It is expected that this research will contribute to the deeper understanding of the effects of personal and environmental factors and KSB on IBW within Vietnamese HEIs

Social support, social capital and online community e-loyalty: an empirical study

Online communities, as an essential manifestation of online social relationships, sociality factors (including social support factors and social relationship factors, etc.) ought to facilitate the formation of community trust and community satisfaction. However, although the existing literature has explored the underlying mechanisms of online community trust and satisfaction formation, few studies implemented research from the integrated sociality perspectives. In this thesis, we integrate social capital theory and social support theory to consider social capital and social support as important antecedent social factors in forming community trust and community satisfaction, which influence users' trust and satisfaction in online communities. Community trust and satisfaction further promote community loyalty. Specifically, this thesis scrutinizes the influence of three levels of social support factors such as information support, emotional support, and human-computer network management support and three kinds of social capital such as structure, cognition, and relationship to online community trust and satisfaction. Based on the proposed research model, 430 online community users' survey data were collected through an empirical questionnaire and the research model was tested through the partial least squares structural equation model method. The results of the thesis suggest that social support factors, including information support, emotional support, and interpersonal network interaction support, and social capital factors including structural capital, relational capital, and cognitive capital significantly affect community users' loyalty not only directly but also indirectly through enhancing community users' trust and satisfaction. Thus, users' trust and satisfaction with the community are significant mediating variables.Nas comunidades online, como uma importante manifestação das relações sociais online, os fatores de socialidade (incluindo fatores de apoio social e fatores de relacionamento social) devem facilitar a formação de confiança e satisfação da comunidade. No entanto, embora a literatura existente tenha explorado os mecanismos subjacentes à formação da confiança e da satisfação da comunidade online, poucos estudos consideraram a perspectiva social de forma integrada. Nesta tese, integramos a teoria do capital social e a teoria do suporte social para considerar o capital social e o suporte social como importantes fatores sociais antecedentes na formação da confiança e satisfação da comunidade, que influenciam a confiança e a satisfação dos utilizadores em comunidades online. A confiança e a satisfação da comunidade promovem ainda mais a lealdade da comunidade. Especificamente, esta tese estuda a influência de três níveis de fatores de suporte social - suporte de informação, suporte emocional e suporte de gestão da relação homen-computador - e três tipos de capital social - estrutura, cognição e relacionamento - na confiança e satisfação da comunidade online. Com base no modelo de pesquisa proposto, 430 observações de utilizadores de comunidades online foram recolhidos através de um questionário. O modelo de pesquisa foi testado através de métodos de equação estruturais. Os resultados da tese relevam que fatores de suporte social, incluindo suporte de informação, suporte emocional e suporte de interação de rede interpessoal, e fatores de capital social, incluindo capital estrutural, capital relacional e capital cognitivo, afetam significativamente a lealdade dos utilizadores da comunidade, não apenas diretamente mas também indiretamente, aumentando a confiança e a satisfação dos utilizadores da comunidade; a confiança e a satisfação dos usuários com a comunidade são variáveis mediadoras importantes

UNDERSTANDING ONLINE KNOWLEDGE CONTRIBUTION IN SOCIAL LEARNING PERSPECTIVE

Online open knowledge sharing is the idea that the Internet can promote the aggregation and dissemination of useful knowledge between a potentially large number of people. Starting from the knowledge sharing idea, various types of online open knowledge sharing services have provided the central platform for users to interact with each other, share their knowledge, and even jointly create new knowledge. In this study, we derive two research questions: 1) what framework can better explain online knowledge contribution? and 2) what factors influence online knowledge contribution? The study draws on both social learning theory and the social model of knowledge creation to investigate the overall antecedents of knowledge contribution and to examine three facets, user-oriented, service-oriented, and community-oriented knowledge contribution behaviour. In the study, we examine which knowledge sharing antecedents motivate people to contribute to knowledge sharing in the framework based on the social model of knowledge creation. We then verify each variable and hypothesis using a survey and the PLS analysis. This study uses social learning perspective to include all three aspects of knowledge sharing behaviour: personal, community-related, and service-related antecedents. With this new perspective, while previous studies have focused on personal cognitive factors in this area, this study examines the integrative influence of factors from social learning and social knowledge creation antecedents. In addition, our findings offer guidance and insights for knowledge sharing service practitioners and managers who are trying to encourage users? contributions

Knowledge Contribution Motivators – An Expectation-Confirmation Approach

Individual knowledge needs to be shared across IS developing organizations to provide information for all types of decisions. Considering knowledge management (KM) as a two-part process of knowledge contribution and knowledge seeking, we focus on the former one as it is (1) the required condition for knowledge sharing and (2) the greater challenge to accomplish by organizations compared to implementing successful knowledge seeking. Distinguishing different types of individual and organizational extrinsic motivators based on self-determination theory, we use expectation-confirmation theory (ECT) to analyze the extent to which software developers’ expectations towards knowledge contributions are fulfilled by organizations. Additionally, showing extrinsic motivators’ importance for software developers to contribute to KM systems, we provide organizations a roadmap for setting favorable conditions. Whereas our consolidation of previous research on knowledge contribution provides guidelines for future research on extrinsic motivators, we contribute to existing theory by applying ECT to the context of KM contribution

Trust and its relationships with knowledge sharing and virtual team effectiveness

Virtual teams represent one form of organization structure that revolutionize the workplace and provide organizations with unprecedented levels of flexibility and responsiveness.However, implementing virtual teams could be quite challenging especially if it involves different languages, time zones, and communication styles.Most importantly, the autonomy of the virtual environment may cause team members to distort social and contextual information,and with limited proximal communication between team members,it can create a lack of trust among members of the virtual team members which can significantly reduce the effectiveness of these teams.Hence, this paper reports a study conducted to examine the relationship between trust and virtual teams effectiveness, by looking into the mediating effect of knowledge sharing.Results of hierarchical regression analysis indicated that knowledge sharing and all the three types of trust are significantly related to virtual team effectiveness.However, only personality- based trust and institutional-based trust are significantly related to knowledge sharing, but knowledge sharing only partially mediates the relationship between these two types of trust and team effectiveness

Include 2011 : The role of inclusive design in making social innovation happen.

Include is the biennial conference held at the RCA and hosted by the Helen Hamlyn Centre for Design. The event is directed by Jo-Anne Bichard and attracts an international delegation

Classifying Motivations in Social Product Development Networks: a Discriminant Analysis of Actor Profiles

This study develops a classification model to predict social actors’ co-innovation behavior in social product development (SPD) networks based on motivational differences. The study first identifies motivations for actors to continuously participate in co-innovation activities. Then, three discriminant functions are developed and cross-validated to classify actor groups, based on their level of willingness to participate in three types of behaviors: ideation, collaboration, and socialization. The results indicate that financial gains, entrepreneurship, and learning are significant predictors of ideation behaviors. Enjoyment and learning are strong indicators of collaboration, whereas networking, enjoyment, and altruism are most strongly related to socialization behaviors. These findings highlight three classes of SPD actors (Ideators, Collaborators, and Networkers) based on motivational differences. These classes provide a theoretically parsimonious model to predict the co-innovation behaviors in SPD and highlight the importance of platform design to appeal to different classes of potential contributors