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Perceived IT Ambiguity: Development of a Measurement Instrument

Author

Listed:
  • Jean-Charles Pillet

    (ESC Grenoble - Ecole Supérieure de Commerce de Grenoble - EESC-GEM Grenoble Ecole de Management)

  • Kevin Carillo
  • Federico Pigni

    (CETIC asbl - Centre d’Excellence en Technologies de l’Information et de la Communication)

  • Claudio Vitari

    (AMU - Aix Marseille Université)

Abstract

Information technologies (IT) have reached such degrees of functional richness that forming a complete, coherent, and stable understanding of a given IT product may be challenging for some users. The need to theorize this phenomena and to measure its effect on IT adoption empirically is rife. This paper introduces the construct of perceived IT ambiguity (PITA), which captures the extent to which a user has difficulties making sense of an IT artifact. A multi-item measurement scale is developed and its validity and reliability pre-tested on a pilot sample. The effect of the focal variable on technology adoption is tested using covariance-based SEM. Preliminary results indicate that ambiguity is a double-edged sword that simultaneously boosts and impede IT adoption.

Suggested Citation

  • Jean-Charles Pillet & Kevin Carillo & Federico Pigni & Claudio Vitari, 2018. "Perceived IT Ambiguity: Development of a Measurement Instrument," Grenoble Ecole de Management (Post-Print) halshs-01923605, HAL.
    • Handle: RePEc:hal:gemptp:halshs-01923605
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01923605
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    References listed on IDEAS

    as
    1. Moreau, C Page & Markman, Arthur B & Lehmann, Donald R, 2001. ""What Is It?" Categorization Flexibility and Consumers' Responses to Really New Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(4), pages 489-498, March.
    2. Meyers-Levy, Joan & Tybout, Alice M, 1989. "Schema Congruity as a Basis for Product Evaluation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 39-54, June.
    3. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
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