Abstract:Purpose -With the development of Web 2.0 virtual communities, the authors see a useful platform for knowledge sharing. However, knowledge sharing in virtual communities still remains a big challenge given the concern of knowledge quantity and quality. The purpose of this paper is to explore the effect of individual differences on knowledge contributing, knowledge seeking, trust and norm of reciprocity. This study also explores the mean difference between knowledge seeking and knowledge contributing as well as … Show more
“…They have no assurances that those they are helping will ever return the favor, since lurkers may draw upon the knowledge of others without contributing anything in return. Therefore, it seems irrational that they contributed much time and effort without immediate benefits [29], [30]. To understand this paradox, some studies focused on the motivations for information-sharing behaviors in ESM.…”
Section: Literature Review a Employee Behaviors And Motivations mentioning
This study focuses on employee involvement in enterprise social media (ESM) and the impact of ESM on job performance. Few studies found empirical support for this perspective due to limited sample size either the difficulty of accessing the data on user behavior in ESM and their job performance. We addressed this research gap through a data-sharing agreement with a large, high-tech manufacturing enterprise with internal social media and conducted a cooperative study on the impact of employee behaviors involved in ESM on their job performance. We divided online activities on ESM into information-sharing behaviors, information-seeking behaviors and general usage behaviors and then employed hierarchical regression analysis to investigate how the various usage behaviors of employees on ESM affect their job performance significantly. We find that information-seeking behaviors on ESM have positive effects on job performance, but information-sharing behaviors on ESM have negative effects on job performance. Overall, the usage of social media within enterprise social media use could help improve employee job performance. Moreover, to test whether the timing of ESM usage (during working hours or off-work hours) may affect employee job performance, we add a variety of moderator variables into the model. The results show that information-sharing behaviors, information-seeking behaviors and general usage behaviors during working hours negatively moderate the relationship between ESM usage and job performance. The findings have valuable managerial implications for the use of ESM.INDEX TERMS Enterprise social media, information sharing, information seeking, job performance.
“…They have no assurances that those they are helping will ever return the favor, since lurkers may draw upon the knowledge of others without contributing anything in return. Therefore, it seems irrational that they contributed much time and effort without immediate benefits [29], [30]. To understand this paradox, some studies focused on the motivations for information-sharing behaviors in ESM.…”
Section: Literature Review a Employee Behaviors And Motivations mentioning
This study focuses on employee involvement in enterprise social media (ESM) and the impact of ESM on job performance. Few studies found empirical support for this perspective due to limited sample size either the difficulty of accessing the data on user behavior in ESM and their job performance. We addressed this research gap through a data-sharing agreement with a large, high-tech manufacturing enterprise with internal social media and conducted a cooperative study on the impact of employee behaviors involved in ESM on their job performance. We divided online activities on ESM into information-sharing behaviors, information-seeking behaviors and general usage behaviors and then employed hierarchical regression analysis to investigate how the various usage behaviors of employees on ESM affect their job performance significantly. We find that information-seeking behaviors on ESM have positive effects on job performance, but information-sharing behaviors on ESM have negative effects on job performance. Overall, the usage of social media within enterprise social media use could help improve employee job performance. Moreover, to test whether the timing of ESM usage (during working hours or off-work hours) may affect employee job performance, we add a variety of moderator variables into the model. The results show that information-sharing behaviors, information-seeking behaviors and general usage behaviors during working hours negatively moderate the relationship between ESM usage and job performance. The findings have valuable managerial implications for the use of ESM.INDEX TERMS Enterprise social media, information sharing, information seeking, job performance.
“…integrated, identified, introjected and external) on the effect users made to accomplish a task in an open-source software project. Some studies have also used autonomous motivation to predict professional people's behaviours, such as knowledge sharing and engagement (Yan et al, 2014).…”
Section: Literature Review 21 the Consequences Of Motivationmentioning
Purpose
The purpose of this study is to investigate the motivational process underlying users’ intention to provide feedback on user-contributed knowledge in professional online communities. User feedback can serve as a means of indicating the credibility of the online content, which can help community members in their knowledge-seeking process. Adopting such a user feedback mechanism is beneficial for users to identify relevant and credible content efficiently and for an online community to sustain itself.
Design/methodology/approach
Drawing on self-determination theory, an integrated model is proposed. In this model, behavioural intention is defined as the consequence of motivational orientations whose antecedences include various social factors. The model is empirically tested using survey data collected online and the structural equation modelling techniques.
Findings
The results show that users’ intention to provide feedback is primarily influenced by autonomous motivation. Autonomous motivation is in turn affected by social factors, including reciprocity, online reputation, trust in the user involvement mechanisms and affective and normative community commitments.
Originality/value
This study adds value to prior studies by stressing the significance and feasibility of user feedback in helping members of professional online communities with their knowledge-seeking process. It also contributes to the literature on user participation in these communities by showing the efficacy of a motivational process perspective and the role of motivational orientations, in particular, in explaining users’ behavioural intention.
“…However, in a virtual community reciprocity becomes an academic help-seeking strategy. Reciprocity is defined as "the benefit expectancy of a future request for knowledge being met as a result of the current contribution" (Yan et al, 2014;He and Wei, 2009). In virtual communities, an individual has realized the importance of current knowledge sharing with respect to future requests for knowledge; participants accept this "norm," and adopt positive attitudes to prepare for future requests being met under this norm.…”
Section: The Influence Of Autonomous Motivations On Knowledge Sharingmentioning
confidence: 99%
“…Thus, in virtual communities reciprocity should be categorized as identified regulation. According to related research, reciprocity motivation has a significantly positive influence on individual's knowledge-sharing behaviors (Chiu et al, 2006;Xu and Li, 2015;Yan et al, 2014). In QQ knowledge-communication groups, if people expect to get help or support from others, they should be willing to spend time and energy to contribute knowledge.…”
Section: The Influence Of Autonomous Motivations On Knowledge Sharingmentioning
Purpose
The purpose of this paper is to explore the ways to encourage members in QQ knowledge-communication groups to persistently share knowledge in terms of contexts and autonomous motivations.
Design/methodology/approach
Based on self-determination theory, three important contextual factors of QQ knowledge-communication groups were selected as exogenous variables and three typical autonomous motivations as mediating variables to construct a knowledge-sharing model. Internet questionnaire surveys and data collection were conducted to test proposed hypotheses by means of structural equation modeling with AMOS.
Findings
Reciprocity, learning, and altruism have significant positive influence on persistent sharing willingness, and the degree to which each factor influences persistent sharing willingness differs considerably. Autonomy support, perceived usefulness, and relatedness support have no significantly direct influence on persistent sharing willingness, but they indirectly influence the persistent sharing behaviors by the mediating effect of different autonomous motivations.
Originality/value
This study contributes theoretically and practically. First, the results suggest that a particular motivation in different contexts has a different degree of autonomy. In addition, explanations are offered for the phenomenon that suggest that controlled motivations directly affect autonomous motivations. It was found that the contextual factors of competence support and relatedness support also have influence on different autonomous motivations, and hence encourage knowledge-sharing behaviors. Specific suggestions for QQ group managers and information seekers are proposed.
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