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Big data, ethics, and social impact theory: A conceptual framework
White, Gwen Ariyachandra, Thilini White, David C.
White, Gwen
Ariyachandra, Thilini
White, David C.
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Original Date
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Issue Date
2019-06
Type
Article
Genre
Keywords
Big data,Decision theory,Privacy,Ethics,Decision making,Disease control,Social impact,Literature reviews,Disruptive innovation,Humanitarianism
Subjects (LCSH)
Citation
White, G., Ariyachandra, T., & White, D. (2019). Big data, ethics, and social impact theory.: A conceptual framework. Journal of Management & Engineering Integration, 12(1), 9-15. https://doi.org/10.62704/10057/24246
Abstract
Decisions made using big data, impact ethical issues like privacy, security, ownership, and decision making. In addition, those same decisions can have a positive or negative social impact. This paper proposes a framework that explains how decisions made using big data impact ethics and social impact theory. A broad literature review explored how big data and ethics can have a social impact on society. The proposed framework of big data, ethics and social impact is illustrated through three examples. Insurance companies manipulate big data to impact sales. The Center for Disease Control examines big data to determine the location of the next outbreak. Companies analyze big data in predictive analytics to increase marketing or determine a new trend. It was found that these uses of big data directly affect ethics which has a positive or negative social impact. Simple decisions can change the outcome for one or millions.
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Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, November 2022.
Publisher
Association for Industry, Engineering and Management Systems (AIEMS)
Journal
Book Title
Series
Journal of Management & Engineering Integration
v.12 no.1
v.12 no.1
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Archival Collection
PubMed ID
ISSN
1939-7984