The Dark Side of Big Data: Personal Privacy, Data Security, and Price Discrimination

Yang Liu () and Connor Greene ()
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Yang Liu: Fitchburg State University
Connor Greene: Southern New Hampshire University

Chapter Chapter 9 in Digital Transformation in Business and Society, 2020, pp 145-153 from Springer

Abstract: Abstract New information technologies enable big data collection, analysis, and forecasting. Based on big data, firms now have the capability to manipulate consumers, deliver personalized advertisements, and apply price discrimination policies. On the other hand, concerns about personal privacy and data security arise with big data. This chapter discusses concerns regarding the dark side of big data through observations of results for consumers led by firms sharing and using these data.

Keywords: Big data; Privacy; Security; Safety; Malpractice; Transparency (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-08277-2_9

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DOI: 10.1007/978-3-030-08277-2_9

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