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On the measurability of information quality

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  • Ofer Arazy
  • Rick Kopak

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.

Suggested Citation

  • Ofer Arazy & Rick Kopak, 2011. "On the measurability of information quality," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 89-99, January.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:1:p:89-99
    DOI: 10.1002/asi.21447
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    Cited by:

    1. Yan Zhang & Ciaran B. Trace, 2022. "The quality of health and wellness self‐tracking data: A consumer perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 879-891, June.
    2. Chung-Tzer Liu & Yi Maggie Guo & Jo-Li Hsu, 2023. "Creating and Validating an Information Quality Scale for E-Commerce Platforms," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 21(1), pages 1-28, January.
    3. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    4. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 2020. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 22(4), pages 961-983, August.

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