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Online Knowledge Community Governance Based on Blockchain Token Incentives

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Knowledge and Systems Sciences (KSS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1103))

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Abstract

Blockchain technology as a subversive technology has been widely concerned by academia and industry. The blockchain token economy with the token incentive as its core has also brought about many innovations in incentive mechanism. Based on the characteristics of online knowledge community and the existing problems of incentive mechanism, this paper discusses the innovation of incentive mechanism brought by blockchain technology to online knowledge community. It is found that blockchain tokens can provide a variety of incentive modes, perfect incentive objects, incentive compatibility, and online knowledge community governance through incentives. Also, future research directions have prospected.

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Author information

Authors and Affiliations

  1. South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou, 510641, Guangdong, China

    Li Zhihong & Zhang Jie

Authors
  1. Li Zhihong
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  2. Zhang Jie
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Corresponding author

Correspondence to Li Zhihong .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jian Chen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Van Nam Huynh

  3. Duy Tan University, Da Nang, Vietnam

    Gia-Nhu Nguyen

  4. CAS Academy of Mathematics and Systems Sciences, Beijing, China

    Xijin Tang

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© 2019 Springer Nature Singapore Pte Ltd.

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Zhihong, L., Jie, Z. (2019). Online Knowledge Community Governance Based on Blockchain Token Incentives. In: Chen, J., Huynh, V., Nguyen, GN., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2019. Communications in Computer and Information Science, vol 1103. Springer, Singapore. https://doi.org/10.1007/978-981-15-1209-4_5

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  • DOI: https://doi.org/10.1007/978-981-15-1209-4_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1208-7

  • Online ISBN: 978-981-15-1209-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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