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A Data Governance Framework for Platform Ecosystem Process Management

  • Sung Une LeeEmail author
  • Liming Zhu
  • Ross Jeffery
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 329)

Abstract

Platform ecosystem today is regarded as the key business concept of organizations to win market. Platform companies can grow fast through the data contribution of multi-sided networks. Yet, they face difficulties in managing the data resulted from complicated contribution, use and interactions between the multiple parties. The circumstance causes serious concerns about unclear data ownership and invisible use of data, and ultimately leads to data abuse/misuse or privacy violation. To alleviate to this, a particular type of data governance is required. However, there is limited research on data and data governance for platform ecosystems. We introduce a new data governance framework for platform ecosystems which consists of data, role, decisions and due processes. The framework supports organizations in understanding to show how the risks should be dealt in the processes for business success. We compare 19 existing industry governance frameworks and academic work with our framework to show current gaps and limitations.

Keywords

Data governance Platform ecosystem Business process 

References

  1. 1.
    Ives, B., Krotov, V.: Anything you search can be used against you in a court of law: data mining in search archives. Commun. Assoc. Inf. Syst. 18(1), 29 (2006)Google Scholar
  2. 2.
    Zimmer, M.: “But the data is already public”: on the ethics of research in Facebook. Ethics Inf. Technol. 12(4), 313–325 (2010)CrossRefGoogle Scholar
  3. 3.
    Parker, G., Van Alstyne, M.W.: Platform strategy. In: The Palgrave Encyclopedia of Strategic Management (2014)Google Scholar
  4. 4.
    Smedlund, A., Faghankhani, H.: Platform orchestration for efficiency, development, and innovation. In: 2015 48th Hawaii International Conference on System Sciences, pp. 1380–1388 (2015)Google Scholar
  5. 5.
    Kaisler, S., Armour, F., Espinosa, J.A., Money, W.: Big data: issues and challenges moving forward. In: 2013 46th Hawaii International Conference on System Sciences, pp. 995–1004 (2013)Google Scholar
  6. 6.
    Kaisler, S., Money, W.H., Cohen, S.J.: A decision framework for cloud computing. In: 2012 45th Hawaii International Conference on System Sciences, pp. 1553–1562 (2012)Google Scholar
  7. 7.
    Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., Shahabi, C.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)CrossRefGoogle Scholar
  8. 8.
    Martin, K.E.: Ethical issues in the Big Data industry. MIS Q. Executive 14, 2 (2015)Google Scholar
  9. 9.
    Schreieck, M., Wiesche, M., Krcmar, H.: Design and governance of PEs–Key concepts and issues for future research. In: 24th ECIS 2016 (2016)Google Scholar
  10. 10.
    Lee, S.U., Zhu, L., Jeffery, R.: Data governance for PEs: critical factors and state of the practice. In: 21st PACIS 2017, Malaysia (2017)Google Scholar
  11. 11.
    Khatri, V., Brown, C.V.: Designing data governance. Commun. ACM 53(1), 148–152 (2010)CrossRefGoogle Scholar
  12. 12.
    Weber, K., Otto, B., Österle, H.: One size does not fit all—a contingency approach to data governance. J. Data Inf. Qual. 1(1), 1–27 (2009)CrossRefGoogle Scholar
  13. 13.
    Evans, D.S.: Governing Bad Behavior by Users of Multi-Sided Platforms, SSRN Scholarly Paper No. ID 1950474. Social Science Research Network, Rochester, NY (2012)Google Scholar
  14. 14.
    Hein, A., Schreieck, M., Wiesche, M., Krcmar, H.: Multiple-case analysis on governance mechanisms of multi-sided platforms. In: Multikonferenz Wirtschaftsinformatik (2016)Google Scholar
  15. 15.
    Tiwana, A., Konsynski, B., Bush, A.A.: Platform evolution: coevolution of platform architecture, governance, and environmental dynamics. Inf. Syst. Res. 21(4), 675–687 (2010)CrossRefGoogle Scholar
  16. 16.
    ISO. https://www.iso.org/standard/56639.html. Accessed 27 Sept 2017
  17. 17.
    Firmani, D., Mecella, M., Scannapieco, M., Batini, C.: On the meaningfulness of ‘Big Data Quality’ (Invited Paper). Data Sci. Eng. 1(1), 6–20 (2016)CrossRefGoogle Scholar
  18. 18.
    Australian Government. https://www.legislation.gov.au/Details/C2018C00034. Accessed 3 Oct 2017
  19. 19.
    Schwartz, P.M., Solove, D.J.: The PII problem: privacy and a new concept of personally identifiable information. NYUL Rev. 86, 1814 (2011)Google Scholar
  20. 20.
    Al-Khouri, A.M.: Data ownership: who owns “my data”. Int. J. Manag. Inf. Technol. 2(1), 1–8 (2012)Google Scholar
  21. 21.
    Zyskind, G., Nathan, O.: Decentralizing privacy: Using blockchain to protect personal data. In: Security and Privacy Workshops (SPW). IEEE (2015)Google Scholar
  22. 22.
    Tiwana, A.: PEs: Aligning Architecture, Governance, and Strategy, Newnes (2013)Google Scholar
  23. 23.
    Cheong, L. K., Chang, V.: The need for data governance: a case study. In: ACIS 2007 Proceedings, vol. 100 (2007)Google Scholar
  24. 24.
    Eckartz, S.M., Hofman, W.J., Van Veenstra, A.F.: A decision model for data sharing. In: Janssen, M., Scholl, H.J., Wimmer, M.A., Bannister, F. (eds.) EGOV 2014. LNCS, vol. 8653, pp. 253–264. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-662-44426-9_21CrossRefGoogle Scholar
  25. 25.
    Lee, S.U., Zhu, L., Jeffery, R.: Designing data governance in PEs. In: 2018 the 51st HICSS, Hawaii, (2018)Google Scholar
  26. 26.
    Harison, E.: Who owns enterprise information? Data ownership rights in Europe and the US. Inf. Manag. 47(2), 102–108 (2010)CrossRefGoogle Scholar
  27. 27.
  28. 28.
    Weill, P., Ross, J.W.: IT Governance on One Page, SSRN Scholarly Paper No. ID 664612, Social Science Research Network, Rochester, NY (2004)Google Scholar
  29. 29.
    Parker, G., Van Alstyne, M.W., Choudary, S.P.: Platform Revolution: How Networked Markets are Transforming the Economy and How To Make Them Work for You (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Architecture and Analytics Platforms Group, Data61, CSIROSydneyAustralia
  2. 2.School of Computer Science and EngineeringUNSWSydneyAustralia

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