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Blockchain in Smart City Development—The Knowledge Governance Framework in Dynamic Alliance

  • Yi ZhangEmail author
  • Wei Sun
  • Chenlei Xie
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)

Abstract

Smart city, as a developing strategy for a global economy, has been initiated in many countries and presented the booming future. There are various researches suggesting that a blockchain is an indispensable tool for smart city construction, but how to adopt it to smart city strategy is not certainly solved. The study here aims to propose a scheme of employing the blockchain in smart city strategy with the theory of Knowledge Governance and Dynamic Alliance, of which the former is focusing on reducing the organization of dynamic alliance, deciding the information transmission in blockchain, and the latter is organizing the smart services by promoting the knowledge innovation and competition and quickening the smart solution with blockchain in city. The scheme is analyzed and its function is detailed at last in order to help explain how it works for guiding and planning the smart city model.

Keywords

Blockchain Smart city Knowledge governance Dynamic alliance 

References

  1. 1.
    Komninos, N.: Intelligent Cities: Innovation, Knowledge Systems and Digital Spaces, pp. 1–15. Spon Press, London (2002)Google Scholar
  2. 2.
    Komninos, N.: The architecture of intelligent cities: integrating human, collective, and artificial intelligence to enhance knowledge and innovation. In: Proceedings of the 2nd International Conference on Intelligent Environments, pp.13–20 (2006)Google Scholar
  3. 3.
    Hashem, I.A.T., Chand, V., Anuar, N.B., et al.: The role of big data in smart city. Int. J. Inf. Manage. 36(5), 748–758 (2016)CrossRefGoogle Scholar
  4. 4.
    Lombardi, P., Giordano, S., Farouh, H., et al.: Modeling the smart city performance. Innov.-Eur. J. Soc. Sci. Res. 25(2), 137–149 (2012)CrossRefGoogle Scholar
  5. 5.
    Toppeta, D.: The Smart City Vision: How Innovation and ICT Can Build Smart, “Livable”, Sustainable Cities. The Innovation Knowledge Foundation (2011)Google Scholar
  6. 6.
    Leydesdorff, L., Deskin, M.: The triple-helix model of smart cities: a neo-evolutionary perspective. J. Urban Technol. 18(2), 53–63 (2011)CrossRefGoogle Scholar
  7. 7.
    Dirks, S., Keeling, M., Dencik, J.: How smart is your city?: helping cities measure progress [20160806]. http://www.ibm.com/smarterplanet/global/files/uk__en_uk__cities__ibm_sp_pov_smartcity.pdf (2018)
  8. 8.
    Menniti, D., Sorrentino, N., Pinnarelli, A., et al.: In the future smart cities: coordination of micro smart grids in a virtual energy district. In: Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 676–681(2014)Google Scholar
  9. 9.
    Lavric, A., Poppa, V., Sfichi, S.: Street lighting control system based on large-scale WSN: a step towards a smart city. In: Proceedings of 8th International Conference and Exposition on Electrical and Power Engineering (EPE), pp. 673–676(2014)Google Scholar
  10. 10.
    Schlingensiepen, J., Mehmood, R., Nentanu, F.C.: Framework for an autonomic transport system in smart cities. Cybern. Inf. Technol. 15(5), 50–62 (2015)Google Scholar
  11. 11.
    Mahizhnan: Smart cities: the Singapore case. Cities 16(1), 13–18 (1999)Google Scholar
  12. 12.
    Ges, T., Paradells, J., Lamarca, M., et al.: Smart cities as an application of internet of things: experiences and lessons learnt in Barcelona. In: Proceedings of the IEEE Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 552–557 (2013)Google Scholar
  13. 13.
    Dameri, R.P., Rosenthal-Sabroux, C.: Governing smart cities: an empirical analysis. Soc. Sci. Comput. Rev. 34(6), 693–707 (2016). sagepub.com/journalsPermissions.nav.  https://doi.org/10.1177/0894439315611093
  14. 14.
    Granier, B., Kudo, H.: How are citizens involved in smart cities? analysing citizen participation in Japanese “Smart Communities”. Inf. Policy 21(1), 61–76 (2016)Google Scholar
  15. 15.
    Sun, J.J., Yan, J.Q., Zhang, K.Z.K.: Blockchain-based sharing services: What blockchain technology can contribute to smart cities. J. Financ. Innov. 2, 26 (2016)CrossRefGoogle Scholar
  16. 16.
    The World Economic Forum WEF GAC15 Technological Tipping Points Report 2015. https://www.weforum.org/reports/deep-shift-technology-tippingpoints-and-societal-impact
  17. 17.
    Furlonger, D., Valdes, R.: Practical Blockchain: A Gartner Trend Insight Report 2017. https://www.gartner.com/doc/3628617?ref=SiteSearch&sthkw=&fnl=search&srcId=1–3478922254
  18. 18.
    Lewis, A.: A gentle introduction to blockchain technology. Bits on blocks https://bitsonblocks.net/2015/09/09/a-gentle-introduction-to-blockchain-technology. Accessed 10 Apr 2018
  19. 19.
    Swan, M.: Blockchain thinking: the brain as a DAC (Decentralized Autonomous Corporation). IEEE Technol. Soc. 34(4), 41–52 (2015)CrossRefGoogle Scholar
  20. 20.
    Han, Q.M., Wang, G.A.: Review of foreign research of blockchain technology. Sci. Technol. Prog. Policy 35(1), 154–160 (2018)Google Scholar
  21. 21.
    Szabo, N.J.: Smartcontracts. http://wuh.com/download/WECSmartContracts.pdf (2017)
  22. 22.
    Yli-Hummo, J., Deokyoon, K.O., et al.: Where is current research on blockchain technology—a systematic review. PLoS ONE 11(10), e0163477 (2018).  https://doi.org/10.1371/journal.pone
  23. 23.
    Kishigami, J., Fujimure, S., et al.: The blockchain based digital content distribution system. In: IEEE Fifth International Conference Big Data and Cloud Computing 2015, pp. 187–190 (2015)Google Scholar
  24. 24.
    Herrera-Joancomartí, J.: Research and challenges on Bitcoin anonymity. In: Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance. LNCS, vol. 8872, pp. 3–16. Springer, Cham (2018)Google Scholar
  25. 25.
    Androulaki, E., Karame, G.: Hiding Transaction Amounts and Balances in Bitcion (2018). https://PDFS.Semanticscholar.org/da9a/85e5d7b7bd9f43255656558d40989ac23a43
  26. 26.
    Ziegeldorf, J.H., Grossmann, F., et al.: Secure multiparty mixing of bitcoins. https://www.martinhenze.de/wpcontent/papercitedata/pdf/zgh+15.pdf (2014)
  27. 27.
    Mougayar, W.: Why fragmentation threatens the promise of the blockchain. http://www.coindesk.com/fragment-blockchain-identity-market/. Accessed 2017
  28. 28.
    Vasek, M., Moore, T.: There’s no free lunch, even using bitcoin: tracking the popularity and profits of virtual currency scams. In: International Conference on Financial Cryptography and Data Security. FC 2015: Financial Cryptography and Data Security, pp. 44–61. https://link.springer.com/chapter/10.1007/978-3-662-47854-7_4. Accessed 10 Apr 2018
  29. 29.
    Roger, N.N.: The 21th century manufacturing enterprise strategy report. AD-A257167.3: 1–4(1991)Google Scholar
  30. 30.
    Grandori, A.: Governance structures, coordination mechanisms and cognitive models. J. Manage. Gov. 1, 29–47 (1997)CrossRefGoogle Scholar
  31. 31.
    Grandori, A.: Neither hierarchy nor identity: knowledge-governance mechanisms and the theory of the firm. J. Manage. Gov. 5, 381–399 (2001)CrossRefGoogle Scholar
  32. 32.
    Foss, N.J.: The knowledge governance approach. SMG Working Paper, No. 1/2005. Center for Strategic Management and Globalization, Copenhagen Business School (2005)Google Scholar
  33. 33.
    Foss, N.J., Husted, K., Michailova, S., Pedersen, T.: Governing knowledge processes: theoretical foundations and research opportunities. CKG Working Paper, No. 1/2003. Center for Knowledge Governance, Copenhagen Business School (2003)Google Scholar
  34. 34.
    Foss, N.J.: The emerging knowledge governance approach: challenges and characteristics. Druid Working Paper, No. 06-10. Danish Research Unit for Industrial Dynamics (2006)Google Scholar
  35. 35.
    Nickerson, J.A., Zenger, T.R.: A knowledge-based theory of the firm: the problem-solving perspective. Organ. Sci. 15(6), 617–632 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Anhui Province Key Laboratory of Intelligent Building and Building Energy SavingAnhui Jianzhu UniversityHefeiChina
  2. 2.School of Economics and ManagementAnhui Jianzhu UniversityHefeiChina

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