Ethical Dilemmas in Data Mining and Warehousing

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Author(s): Joseph A. Cazier (Appalachian State Univeresity, USA)and Ryan C. LaBrie (Seattle Pacific University, USA)
Copyright: 2008
Pages: 9
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch179

Keywords: Data Mining and Databases / Data Warehousing / Information Science Reference / Library & Information Science

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Abstract

As we have increasing privacy and risk concerns in the world today with identity theft, questionable marketing, data mining, and profiling, it is becoming increasingly important to explore how consumers feel and react to the use of their data. This study makes an important contribution to the literature by presenting common positive and negative myths surrounding these issues and exploring how ethical or unethical consumers believe these practices are by looking at the myths and their reaction to them. We focus on consumers’ perceptions because at the end of the day it is what the consumers perceive to be happing that will determine their reaction. An ethical data practice is one that is believed to increase consumer, business, or societal value, and an unethical data practice is one which causes harm to these groups.

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Ethical Dilemmas in Data Mining and Warehousing

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