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Privacy, Confidentiality, and Security Challenges for Interoperable Data Platforms in Supply Chains

In: Private Data and Public Value

Author

Listed:
  • Djoko S. Sayogo

    (University of Muhammadiyah at Malang
    University at Albany)

  • Mahdi Mirdamadi Najafabadi

    (University at Albany)

  • Giri K. Tayi

    (University at Albany)

  • Theresa A. Pardo

    (University at Albany)

Abstract

Privacy, confidentiality, and information security constitute basic requirements for the design and implementation of IT-enabled platforms for information sharing such as the I-Choose platform described in this book. In this chapter, we discuss privacy and security issues from an organizational perspective along three dimensions: ownership, access rights, and data quality. The challenge of protecting the confidentiality and privacy of data lies in developing effective and transparent security policies and protocols that govern access to and integrity of both proprietary and public information. Our findings highlight that these challenges stem from the complexity of the information chain and the heterogeneity of stakeholders and data sources in the sustainable coffee supply chain. As a result, addressing these issues will require not only technologically sophisticated solutions but also creation of governance structures and adoption of appropriate business practices. In this chapter we propose five management and policy solutions for mitigating the privacy, confidentiality, and security challenges that confront successful implementation of I-Choose platform.

Suggested Citation

  • Djoko S. Sayogo & Mahdi Mirdamadi Najafabadi & Giri K. Tayi & Theresa A. Pardo, 2016. "Privacy, Confidentiality, and Security Challenges for Interoperable Data Platforms in Supply Chains," Public Administration and Information Technology, in: Holly Jarman & Luis F. Luna-Reyes (ed.), Private Data and Public Value, edition 1, chapter 0, pages 109-128, Springer.
    • Handle: RePEc:spr:paitcp:978-3-319-27823-0_6
    DOI: 10.1007/978-3-319-27823-0_6
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    Cited by:

    1. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.

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