On the Measurability of Information Quality

Journal of the American Society for Information Science and Technology (JASIST), Vol. 62, No. 1, 2011

University of Alberta School of Business Research Paper No. 2013-101

Posted: 26 May 2013 Last revised: 27 Jun 2013

See all articles by Ofer Arazy

Ofer Arazy

Independent

Rick Kopak

University of British Columbia (UBC) - School of Library, Archival & Information Studies

Date Written: January 1, 2010

Abstract

The notion of information quality (IQ) has been investigated extensively in recent years. Much of this research has been aimed at conceptualizing IQ and its underlying dimensions (e.g., accuracy, completeness) and at developing instruments for measuring these quality dimensions. However, less attention has been given to the measurability of IQ. The objective of this study is to explore the extent to which a set of IQ dimensions — accuracy, completeness, objectivity, and representation — lend themselves to reliable measurement. By reliable measurement, we refer to the degree to which independent assessors are able to agree when rating objects on these various dimensions. Our study reveals that multiple assessors tend to agree more on certain dimensions (e.g., accuracy) while finding it more difficult to agree on others (e.g., completeness). We argue that differences in measurability stem from properties inherent to the quality dimension (i.e., the availability of heuristics that make the assessment more tangible) as well as on assessors' reliance on these cues. Implications for theory and practice are discussed.

Keywords: Evaluation, Use Study

Suggested Citation

Arazy, Ofer and Kopak, Rick, On the Measurability of Information Quality (January 1, 2010). Journal of the American Society for Information Science and Technology (JASIST), Vol. 62, No. 1, 2011 , University of Alberta School of Business Research Paper No. 2013-101, Available at SSRN: https://ssrn.com/abstract=2268659

Rick Kopak

University of British Columbia (UBC) - School of Library, Archival & Information Studies ( email )

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