All that glitters is not gold: Digging beneath the surface of data mining [Book Review]

Journal of Business Ethics 40 (4):373 - 386 (2002)
This article develops a more comprehensive understanding of data mining by examining the application of this technology in the marketplace. In addition to exploring the technological issues that arise from the use of these applications, we address some of the social concerns that are too often ignored.As more firms shift more of their business activities to the Web, increasingly more information about consumers and potential customers is being captured in Web server logs. Sophisticated analytic and data mining software tools enable firms to use the data contained in these logs to develop and implement a complex relationship management strategy. Although this new trend in marketing strategy is based on the old idea of relating to customers as individuals, customer relationship management actually rests on segmenting consumers into groups based on profiles developed through a firm's data mining activities. Individuals whose profiles suggest that they are likely to provide a high lifetime value to the firm are served content that will vary from that which is served to consumers with less attractive profiles.
Keywords analytics  customer relationship management  data mining  marketing discrimination  personalization  price discrimination  privacy  profiles  public sphere
Categories (categorize this paper)
Reprint years 2004
DOI 10.1023/A:1020845814009
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 28,126
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA
Respect for Persons, Identity, and Information Technology.Robin S. Dillon - 2010 - Ethics and Information Technology 12 (1):17-28.
From Individual to Group Privacy in Big Data Analytics.Brent Mittelstadt - forthcoming - Philosophy and Technology:1-20.
Data Mining: Proprietary Rights, People and Proposals.Dinah Payne & Cherie Courseault Trumbach - 2009 - Business Ethics: A European Review 18 (3):241-252.
Do We Need a Special Ethics for Research?Sven Ove Hansson - 2011 - Science and Engineering Ethics 17 (1):21-29.

View all 10 citations / Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

23 ( #219,693 of 2,171,881 )

Recent downloads (6 months)

2 ( #173,716 of 2,171,881 )

How can I increase my downloads?

My notes
Sign in to use this feature

There  are no threads in this forum
Nothing in this forum yet.

Other forums