Ethical considerations in the use of big data for business analytics: а cross-industry perspective
DOI:
https://doi.org/10.51599/is.2023.07.04.08Keywords:
moral aspects of digitization, information analysis, protection of private data, cross-industry development, digital products, company reputation.Abstract
Purpose. The primary objective of the article is to explore the ethical challenges and limitations associated with the use of big data in business analytics. It aims to identify and analyze the key ethical issues, providing insights into the implications of using large datasets for business analysis. The article considers the multifaceted aspects of ethics in big data applications and emphasizes the need for comprehensive solutions.
Results. The article presents a comprehensive analysis of the ethical problems related to big data implementation in business analytics. It discusses the existing challenges, categorizes them into distinct types, and offers a subtle understanding of each. The results highlight the importance of addressing ethical concerns to ensure the responsible use of big data in the business sphere.
Scientific novelty. The scientific novelty of the article lies in its in-depth examination of the ethical issues surrounding big data in the context of business analytics. It contributes to the existing body of knowledge by categorizing ethical challenges and proposing a set of potential solutions. The article integrates perspectives from diverse fields, offering a holistic view of the ethical implications, thereby advancing the scientific understanding of this critical subject.
Practical value. The article provides practical insights for businesses, regulatory bodies, and researchers involved in the implementation of big data analytics. By identifying ethical issues and proposing solutions, it offers actionable recommendations for developing ethical standards and norms. The practical value lies in guiding stakeholders to navigate the ethical landscape of big data, promoting responsible practices, and ensuring the protection of privacy and integrity in business analytics.
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