Improving passive members sustained participation behavior in online political communities: A empirical study from China and South Korea

Wang, Yanan; Zhang, Wenkun; Zhang, Tao; Wang, Xiaolong

doi:10.1007/s12144-022-03343-0

Cited by 3 publications

(6 citation statements)

References 99 publications

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“…Among the limited studies comparing contributors and lurkers in OICs (see Table 2, which also describes how this study compares to previous studies), earlier studies focused on understanding differences in their actual behavior rather than motivational factors in their knowledge formation and learning mechanisms [38,49,53]. Findings from previous studies [26,52] suggested that lurkers were less enthusiastic about seeking knowledge from others and gaining full membership in the OIC than contributors. This finding was subsequently confirmed in study by Nguyen, Malik [47].…”

Section: Contributors Versus Lurkersmentioning

confidence: 92%

“…Learning is fundamentally a social process, and OICs constitute an efficient and informal social learning system [42,51,52]. Typically, in the context of OICs, tacit knowledge is embedded in individual skills, wisdom, and experience, which is difficult to reveal and can only be effectively shared through social interaction and informal learning processes [8].…”

Section: Classification Of Users Based On Knowledge Behavior Type Of ...mentioning

confidence: 99%

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Lurkers versus Contributors: An Empirical Investigation of Knowledge Contribution Behavior in Open Innovation Communities

Daradkeh

2022

Journal of Open Innovation: Technology, Market, and Complexity

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This study aims to examine and compare the mechanisms through which social learning processes influence the knowledge contribution behavior of lurkers and contributors in open innovation communities (OICs). Based on social learning theory and stimulus–organism–response (SOR) framework, this study developed a model of knowledge contribution formation mechanism from environmental stimuli (observational learning, reinforcement learning), organism cognition (self-efficacy, outcome expectancy) to behavioral response (initial contribution, continuous contribution). The model was tested using structural equation modeling based on a dataset collected through a questionnaire from an OIC of business intelligence and analytics software. The empirical results showed that, at the initial participation stage, observational learning had a significant effect on the organism’s cognition of the lurkers, and indirectly influenced the initial knowledge contribution behavior through self-efficacy and outcome expectancy. At the continuous participation stage, observational learning had a significantly lower impact on the organism’s cognition of contributors and only indirectly influenced continuous knowledge contribution behavior through outcome expectancy. In contrast, reinforcement learning influenced the organism’s cognition of contributors and partially influenced their continuous knowledge contribution behavior through the mediating effects of self-efficacy and outcome expectancy. However, self-efficacy had a more pronounced effect on contributors’ continuous knowledge contribution behavior than outcome expectancy. These findings provide practical guidance for the management of OICs to reduce knowledge contributor attrition and induce lurkers to evolve into knowledge contributors for sustainable community development.

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Section: Contributors Versus Lurkersmentioning

confidence: 92%

Section: Classification Of Users Based On Knowledge Behavior Type Of ...mentioning

confidence: 99%

Lurkers versus Contributors: An Empirical Investigation of Knowledge Contribution Behavior in Open Innovation Communities

Daradkeh

2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…In this article all variables are latent variable, and according to Gao and Zhang et al (2022). Four items for sustained participation behavior were adapted from Zhou et al (2013) and Wang et al (2022).…”

Section: Methodsmentioning

confidence: 99%

“…Items for swift‐guanxi were taken from Lin et al (2018) and Zhang et al (2022). Four items for sustained participation behavior were adapted from Zhou et al (2013) and Wang et al (2022). Finally, the measurement of Complaint publicization was developed from Golmohammadi et al (2021), details can be seen in Appendix A.…”

Section: Methodsmentioning

confidence: 99%

“…According to Ou et al (2014), SG refers to “a buyer's perception of a swiftly formed interpersonal relationship with a seller that comprises mutual understanding, reciprocal favors, and relationship harmony,” and SG is an extension of the relationships found in traditional contexts to the field of online commerce, which aligns with the trend of consumers on e‐commerce platforms of building good relationships with others (Chen et al, 2021; Lee et al, 2001; Wang et al, 2022). Mutual understanding, reciprocal favors, and relationship harmony are the three main dimensions of SG (Ou et al, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

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Not just apologizing: The impact of complaint handling on sustained participation behavior in live‐streaming shopping

Zhang

Wang

2023

J of Consumer Behaviour

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In a live‐streaming shopping community, the quality of complaint handling may significantly influence relationship recovery between the consumer and retailer (or streamer) following service failures. Despite the significant progress made in previous works, there are still research gaps in the study of customer complaint handling and customers' post‐behavior. Therefore, this study introduced the important variable “swift‐guanxi” (SG) to explore the relationship between complaint handling and the sustained participation of customers. Data were collected through both online and offline methods. A structural equation model (SEM) was used to test the relevant hypotheses. The results from assessing these data indicate that the factors of conversational human voice (CHV), reply length (RL) and perceived justice (PJ) all exert a significant influence on SG, which in turn affects the sustained participation behavior (SPB) of customers. In addition, complaint publicization (CP) has a negative impact on this behavior.

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Characteristics and Problems of Smart City Construction above the Prefecture Level in China: An Exploratory Study

Chu,

Zhong,

Zhang

2024

J. Urban Plann. Dev.

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Improving passive members sustained participation behavior in online political communities: A empirical study from China and South Korea

Cited by 3 publications

References 99 publications

Lurkers versus Contributors: An Empirical Investigation of Knowledge Contribution Behavior in Open Innovation Communities

Lurkers versus Contributors: An Empirical Investigation of Knowledge Contribution Behavior in Open Innovation Communities

Not just apologizing: The impact of complaint handling on sustained participation behavior in live‐streaming shopping

Characteristics and Problems of Smart City Construction above the Prefecture Level in China: An Exploratory Study

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