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BALANCING DATA MONETIZATION WITH PRIVACY PROTECTION IN BIG DATA ECOSYSTEMS

Authors
  • Dr. Muhammad Ali Khan

    Institute of Business Administration (IBA), Karachi, Pakistan, Specialist in Big Data Analytics and Privacy-Preserving Techniques
Keywords:
Data Monetization, Privacy Protection, Big Data Ecosystems, Privacy-Preserving Technologies
Abstract

The rapid growth of big data has opened up new avenues for data monetization, enabling businesses to extract valuable insights from vast amounts of consumer and organizational data. However, this comes with significant challenges concerning privacy protection. The need to balance data monetization with the safeguarding of personal and sensitive information has become a critical concern in big data ecosystems. This article explores the ethical, legal, and technological aspects of managing privacy while enabling the monetization of data. By examining the intersection of privacy protection measures, regulatory frameworks, and innovative monetization strategies, this paper aims to offer insights into creating data-driven business models that respect user privacy. Various frameworks and technologies such as differential privacy, blockchain, and privacy-preserving analytics are discussed, highlighting their role in mitigating risks associated with data monetization.

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References

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Sohail, N., Haque, A., Aziz, S., & Maruf, T. I. (2023). Impact of diffusion of innovation among Pakistani consumers’ adoption of halal cosmetics. *South East Asia Journal of Contemporary Business, Economics and Law, 30*(2), 39–49. ISSN 2289-1560.

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Published
2023-06-30
Section
Articles
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Copyright (c) 2023 Dr. Muhammad Ali Khan

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This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in the Journal of Big Data Privacy Management are distributed under the terms of an open-access license, permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Authors retain copyright of their work and grant the journal the right of first publication. The journal promotes transparency, accessibility, and global dissemination of research findings.

How to Cite

BALANCING DATA MONETIZATION WITH PRIVACY PROTECTION IN BIG DATA ECOSYSTEMS. (2023). Journal of Big Data Privacy Management, 1(01), 71-83. https://doi.org/10.71146/jbdpm12