Ethical Challenges of Data Commingling in Business
DOI:
https://doi.org/10.54097/fbem.v11i1.11768Keywords:
Data commingling, Ethics, Management, Privacy, Security.Abstract
Data commingling involves merging data from various sources into a shared infrastructure. However, this poses ethical challenges for businesses. This article delves into the ethical issues that arise from data commingling and its impact on organizations. It also provides recommendations for responsible data management. Real-world cases, such as LinkedIn's data handling, highlight the consequences of data commingling on customer trust and company credibility. To overcome these challenges, businesses should explore the creation of multi-cloud data lakes, offer employee training, and advocate for global regulations on data commingling.
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References
Ablon, L., Heaton, P., Lavery, D. C., & Romanosky, S. (2016). Consumer attitudes toward data breach notifications and loss of personal information. RAND.
Bulgurcu, Cavusoglu, & Benbasat. (2010). Information security policy compliance: An empirical study of rationality-based beliefs and information security awareness. MIS Quarterly: Management Information Systems, 34(3), 523. https://doi.org/10.2307/25750690
Chen, H. S., & Jai, T.-M. (catherine). (2021). Trust fall: data breach perceptions from loyalty and non-loyalty customers. Service Industries Journal, 41(13–14), 947–963. https://doi.org/10.1080/02642069.2019.1603296
Commingled. (2016, January 18). Insightsoftware. https://insightsoftware.com/encyclopedia/commingled/
Edquist, A., Grennan, L., Griffiths, S., & Rowshankish, K. (2022, September 23). Data ethics: What it means and what it takes. Mckinsey.com; McKinsey & Company. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/data-ethics-what-it-means-and-what-it-takes
Esteve, A. (2017). The business of personal data: Google, Facebook, and privacy issues in the EU and the USA. International Data Privacy Law, 7(1), 36–47. https://doi.org/10.1093/idpl/ipw026
Hill, M., & Swinhoe, D. (2022, November 8). The 15 biggest data breaches of the 21st century. CSO Online. https://www.csoonline.com/article/2130877/the-biggest-data-breaches-of-the-21st-century.html
Invisibly. (2021, August 6). 7 Examples of Data Misuse in the modern world. Invisibly. https://www.invisibly.com/learn-blog/data-misuse-7-examples/
Lee, W. W., Zankl, W., & Chang, H. (2016). An Ethical Approach to Data Privacy Protection. ISACA, 6. https://redi.anii.org.uy/jspui/bitstream/20.500.12381/441/1/An-Ethical-Approach-to-Data-Privacy-Protection_joa_Eng_1216.pdf
Li, Q., Wen, Z., Wu, Z., Hu, S., Wang, N., Li, Y., Liu, X., & He, B. (2023). A survey on federated learning systems: Vision, hype and reality for data privacy and protection. IEEE Transactions on Knowledge and Data Engineering, 35(4), 3347–3366. https://doi.org/10.1109/tkde.2021.3124599
Lunden, I. (2018, November 24). LinkedIn violated data protection by using 18M email addresses of non-members to buy targeted ads on Facebook. TechCrunch. https://techcrunch.com/2018/11/24/linkedin-ireland-data-protection/
Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155. https://doi.org/10.1007/s11747-016-0495-4
Mubarak Alharbi, I., Zyngier, S., & Hodkinson, C. (2013). Privacy by design and customers’ perceived privacy and security concerns in the success of e-commerce. Journal of Enterprise Information Management, 26(6), 702–718. https://doi.org/10.1108/jeim-07-2013-0039
Sarathy, R., & Robertson, C. J. (2003). Strategic and ethical considerations in managing digital privacy. Journal of Business Ethics, 46(2), 111–126. https://doi.org/10.1023/a:1025001627419
Somani, A. (2020, January 9). Preventing data from becoming A liability. Forbes. https://www.forbes.com/sites/forbestechcouncil/2020/01/09/preventing-data-from-becoming-a-liability/?sh=3be50e2a2f85
Soussan, T., & Trovati, M. (2021). Social Media Data Misuse. In Preprints. https://doi.org/10.20944/preprints202103.0331.v2
Zagan, E., & Danubianu, M. (2021). Cloud DATA LAKE: The new trend of data storage. 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA).
