The Proceedings of the Information Systems Education Conference 2005: §3143 Home Papers/Indices prev (§3142) Next (§3152)

Sat, Oct 8, 9:00 - 9:25, Senate A Paper (refereed)

Recommended Citation: Kreie, J, K Alt, T P Cronan, and L N K Leonard. Do Ethical Views Differ in Different Situations? Using Pathfinder Associative Networks to Compare Views. In The Proceedings of the Information Systems Education Conference 2005, v 22 (Columbus OH): §3143. ISSN: 1542-7382. (A later version appears in Information Systems Education Journal 5(17). ISSN: 1545-679X.)

Recipient of Meritorious Paper Award

Do Ethical Views Differ in Different Situations? Using Pathfinder Associative Networks to Compare Views

Refereed

8 pages

Jennifer Kreie    [a1] [a2]
Accounting and Information Systems
New Mexico State University    [u1] [u2]
Las Cruces, New Mexico, USA    [c1] [c2]

Kerry Alt    [a1] [a2]
Accounting and Information Systems
New Mexico State University    [u1] [u2]
Las Cruces, New Mexico, USA    [c1] [c2]

Timothy Paul Cronan    [a1] [a2]
Information Systems Department
University of Arkansas    [u1] [u2]
Fayetteville, Arkansas, USA    [c1] [c2]

Lori N. K. Leonard    [a1] [a2]
Management Information Systems Department
University of Tulsa    [u1] [u2]
Tulsa, Oklahoma, USA    [c1] [c2]

This paper describes a study that compared how people viewed ethics within the context of different situations. Using Pathfinder associative network analysis, the researchers compared associative networks of three groups of subjects. Pathfinder provides a graphical representation and statistical measure of how people relate ethics terms. The results confirm past scenario-based research that found people’s judgment of what is ethical or unethical is situation-dependent. In addition, the use of Pathfinder associative networks introduced statistical measures and graphical representation of people’s view of ethical concepts which have not been used in IT and ethics research.

Keywords: ethics, IT and ethics, associative network, Pathfinder, semantic network, mental model

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