Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2003

Abstract

This paper presents a systematic procedure to elicit and aggregate the knowledge of multiple individual experts and represent it in the form of an Aggregated Causal Map (ACM). This procedure differs from existing methods in two ways. First, unlike other methods, this method does not rely on group interaction in eliciting knowledge of multiple experts, and, therefore, is not fraught with biases associated with group dynamics. Second, this method uses both the idiographic and nomothetic approaches while existing methods focus on nomothetic approaches to knowledge elicitation. We draw on the strengths of both approaches by using the idiographic approach to elicit and aggregate the knowledge of multiple experts and the nomothetic approach to validate the knowledge elicited. We illustrate the procedure by constructing the ACM of eight key decision makers about an enterprise system adoption decision.

Keywords

causal maps, nomothetic versus idiographic approaches, knowledge elicitation and aggregation

Discipline

Databases and Information Systems

Research Areas

Information Systems and Management

Areas of Excellence

Digital transformation

Publication

Communications of the Association for Information Systems

Volume

12

First Page

406

Last Page

436

ISSN

1529-3181

Publisher

Association for Information Systems

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