A Predictive Model of the Knowledge-Sharing Intentions of Social Q&amp;A Community Members: A Regression Tree Approach

Cai, Yang; Yang, Yongyong; Shi, Wendian

doi:10.1080/10447318.2021.1938393

Cited by 19 publications

(19 citation statements)

References 87 publications

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“…Second, the supported moderated mediation effect suggests that, as the level of environmental dynamism increases, creative self-efficacy employees are more likely to conduct knowledge acquisition activities that will lead to innovative behavior. This result is consistent with the social cognitive theory ( Bandura, 1986 ), in that personal, environmental, and behavioral determinants have a dynamic, bi-directional interaction with each other ( Cai et al, 2022 ). Our findings present unanimous support for the strengthening role of environmental dynamism on employees' change-oriented initiatives ( Surty and Scheepers, 2020 ; Lin, 2021 ).…”

Section: Discussionsupporting

confidence: 90%

“…Social cognitive theory, proposed by Bandura (1986) , provides a theoretical framework to identify individual behavior based on a triadic structure between cognitive factors, environmental factors, and human behavior. The theory considers both internal and external influential factors in human actions by embracing the cognitive process of self-regulation as well as recognizing the importance of environmental determinants corresponding to behavior ( Cai et al, 2022 ). According to the theory, cognitive factors affect individual behavior while social and environmental factors alter human beliefs ( Kim and Chai, 2022 ).…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Innovation in manufacturing SMEs during the COVID-19 pandemic: How does environmental dynamism reinforce employee proactive behavior?

Huang

Lin

Lee

2023

Technological Forecasting and Social Change

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Section: Discussionsupporting

confidence: 90%

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Innovation in manufacturing SMEs during the COVID-19 pandemic: How does environmental dynamism reinforce employee proactive behavior?

Huang

Lin

Lee

2023

Technological Forecasting and Social Change

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“…The knowledge-sharing intention refers to the degree of users' willingness and intentions to share knowledge, and it includes personal insights, experience, and expertise (Yu et al. , 2010; Cai et al. , 2021).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

“…The social identity reflects an individual's recognition of his or her membership in a social group and the significance attached to this social group (Tajfel, 1978). The knowledge-sharing intention refers to the degree of users' willingness and intentions to share knowledge, and it includes personal insights, experience, and expertise (Yu et al, 2010;Cai et al, 2021).…”

Section: Monetary and Non-monetary Social Functionsmentioning

confidence: 99%

Impact of monetary and non-monetary social functions on users' knowledge-sharing intentions in online social Q&A communities

Jia

Chen

Qin

et al. 2022

INTR

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PurposeWith the rapid development of paid online social question and answer (Q&A) communities, monetary social functions have been introduced and have potential benefits for both platforms and users. However, these functions' impact on knowledge contribution remains uncertain. This study proposes a conceptual model based on the stimulus–organism–response framework, according to which monetary and non-monetary social functions can help nurture short-term and long-term relationships among community users, and thereafter improves social identity and knowledge-sharing intentions.Design/methodology/approachThis study selects Zhihu, a famous online social Q&A community in China, and conducts an online survey to collect data from its frequent users. A sample of 286 valid questionnaires was collected to test our research model by using a structural equation modeling method. In addition, a bootstrapping approach is used to test the mediation effect.FindingsResults indicate that monetary social functions help nurture short-term and long-term relationships among community users. However, non-monetary social functions only affect short-term relationships directly. Short-term and long-term relationships both have a positive relationship with social identity and thereafter improve users' knowledge-sharing intentions.Originality/valueThis study focuses on users' knowledge-sharing intentions in Q&A communities from the perspective of social. Specifically, we separated social functions in Q&A platforms into monetary and non-monetary ones and explored their impact on the development of short-term and long-term relationships. Results demonstrate the importance of monetary social functions and explain how monetary and non-monetary social functions affect users' knowledge-sharing intentions in different approaches.

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“…These mechanisms are among the most used incentive mechanisms adopted by Q&A communities, providing users with virtual points that display skills and achievements in these communities [ 5 ]. Reputation mechanisms distinguish the set of users as “status classes” that grant them some privileges to access more content based on particular metrics [ 17 , 18 ]. In the rest of this paper, we, therefore, take incentive mechanism to mean “reputation mechanism”.…”

Section: Introductionmentioning

confidence: 99%

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

et al. 2023

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Incentive mechanisms steer users in Q&A communities to achieve community goals, which need to be cautiously reviewed and revised before actual industrial application. Simulating incentive mechanisms is significant for predicting how changes in incentive mechanisms will affect community emergence, such as user answering patterns. However, due to the complexity of Q&A communities, the challenge faced by simulating incentive mechanisms lies in the difficulty of establishing micro-macro connections in the communities to simulate their emergence. To fill this gap, this paper proposes a Normative Multi-Agent System based Simulation (NorMASS) approach to simulate community emergence. The NorMASS models a Q&A community as a normative multi-agent system and adopts agents to formally express community users. Moreover, the approach provides an open-source simulator with a data generator to simulate community emergence. An evaluation of the NorMASS comparing simulation emergence with the counterpart of an actual community demonstrates that the proposed approach provides an effective solution for simulating incentive mechanisms of Q&A communities, with a similarity of 80% or above.

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A Predictive Model of the Knowledge-Sharing Intentions of Social Q&A Community Members: A Regression Tree Approach

Cited by 19 publications

References 87 publications

Innovation in manufacturing SMEs during the COVID-19 pandemic: How does environmental dynamism reinforce employee proactive behavior?

Innovation in manufacturing SMEs during the COVID-19 pandemic: How does environmental dynamism reinforce employee proactive behavior?

Impact of monetary and non-monetary social functions on users' knowledge-sharing intentions in online social Q&A communities

NorMASS: A normative MAS-based modeling approach for simulating incentive mechanisms of Q&A communities

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