Online knowledge sharing in blockchains: towards increasing participation

Xie, Renqiang; Zhang, Wende

doi:10.1108/md-06-2022-0767

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Meanwhile, the blockchain social networking platforms have added interactive features such as user reputation, voting, and bounties to change user characteristics and interaction behaviors ( Duan et al, 2020 ). Under the influence of consensus mechanism ( Zheng & Boh, 2021 ), irreversibility ( Yan et al, 2021 ), and mechanism of valuable content ( Bai et al, 2021 ), users who create and discover quality content and actively contribute to the community are more influential than those who have better network position ( Xie & Zhang, 2023 ). Therefore, analyzing user characteristics and behaviors ( Girgin, 2021 ) can better identify opinion leaders in blockchain social networks.…”

Section: Introductionmentioning

confidence: 99%

Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution

Wang,

Tan,

Shi

2023

PeerJ Computer Science

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Exploring the influence of social network users in the blockchain environment and identifying opinion leaders can help understand the information dissemination characteristics of blockchain social networks, direct the discovery of quality content, and avoid the spread of rumors. Members of blockchain-based social networks are given new responsibilities by token awards and consensus voting, which alters how users connect to the network and engage with one another. Based on blockchain theory and the relevant theories of opinion leaders in social networks, this article combines structural information and content contributions to identify opinion leaders. Firstly, user influence indicators are defined from the perspective of network structure and behavioral characteristics of user contributions. Then, ECWM is constructed, which combines the entropy weight method and the criteria importance through intercriteria correlation (CRITIC) weighting method to address the correlation and diversity among indicators. Furthermore, an improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), called ECWM-TOPSIS, is proposed to identify opinion leaders in blockchain social networks. Moreover, to verify the effectiveness of the method, we conducted a comparative analysis of the proposed algorithm on the blockchain social platform Steemit by using two different methods (voting score and forwarding rate). The results show that ECWM-TOPSIS produces significantly higher performance than other methods for all selected top N opinion leaders.

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Section: Introductionmentioning

confidence: 99%

Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution

Wang,

Tan,

Shi

2023

PeerJ Computer Science

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Social Capital, Market Motivation and Knowledge Sharing: A Multiplex Network Perspective on Blockchain-Based Knowledge Communities

Li,

Xie,

2023

Communications in Computer and Information Science

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Cold start and hot feedback: a knowledge sharing and governance model considering individual willingness from a prospect theory perspective

Zou,

Li,

Yang

2024

JKM

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Purpose This study aims to address the issue of perfunctory sharing that arises in knowledge governance due to a lack of willingness to share knowledge between individuals within the same organization. This knowledge-sharing process does not occur simultaneously for both parties but follows a sequential progression. Additionally, this governance model fully considers the willingness of both parties to share and effectively addresses the two knowledge characteristics that influence their willingness to do so. Design/methodology/approach This study follows inductive logic and primarily adopts an interpretive case study approach to conduct a longitudinal exploratory case study. An incubator enterprise with active knowledge-sharing activities and significant knowledge governance effects is selected as the research subject. The governance system is explained through the lens of prospect theory at the mechanism level. Findings In the study of the knowledge-sharing process, the authors observed a new challenge: perfunctory behavior, whereby individuals engage in knowledge-sharing activities that lack substantial effects as a way to avoid genuine sharing. From this, a new knowledge-sharing model was extracted, the cold start and hot feedback model, which follows a sequential (rather than simultaneous) progression. Using the deterministic effect of prospect theory and the principle of reference dependence, the governance mechanism of corporate knowledge sharing was analyzed from the perspective of knowledge-sharing willingness. Research limitations/implications Based on prospect theory, this study primarily explains how the governance mechanism influences the willingness to share knowledge from the perspective of four principles. In the future, threat rigidity theory and commitment escalation theory can be combined to further analyze the willingness to share knowledge from the perspectives of pressure and cost. Empirical research methods can also be used to test and enrich the research results of this paper. Originality/value After considering the willingness to share knowledge, a new knowledge-sharing model and corresponding knowledge-sharing governance model are proposed, and prospect theory is extended to the knowledge-based theory research field.

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Online knowledge sharing in blockchains: towards increasing participation

Cited by 3 publications

References 32 publications

Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution

Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution

Social Capital, Market Motivation and Knowledge Sharing: A Multiplex Network Perspective on Blockchain-Based Knowledge Communities

Cold start and hot feedback: a knowledge sharing and governance model considering individual willingness from a prospect theory perspective

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