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An extension of the theory of technology dominance: Capturing the underlying causal complexity

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  • Sutton, Steve G.
  • Arnold, Vicky
  • Holt, Matthew

Abstract

The Theory of Technology Dominance (TTD) provides a theoretical foundation for understanding how intelligent systems impact human decision-making. The theory has three phases with propositions related to (1) the foundations of reliance, (2) short-term effects on novice versus expert decision-making, and (3) long-term epistemological effects related to individual deskilling and profession-wide stagnation. In this theory paper, we propose an extension of TTD, that we refer to as TTD2, primarily to increase our theoretical understanding of how, why, and when the short-term and long-term effects on decision-making occur and why advances in technology design have exacerbated some weaknesses and eroded some benefits. Recently, researchers have called for reconsideration of how we design intelligent systems to mitigate the detrimental effects of technology; in TTD2 we provide a theory-based understanding for capturing the complexity underlying the occurrence of the effects.

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  • Sutton, Steve G. & Arnold, Vicky & Holt, Matthew, 2023. "An extension of the theory of technology dominance: Capturing the underlying causal complexity," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:ijoais:v:50:y:2023:i:c:s1467089523000180
    DOI: 10.1016/j.accinf.2023.100626
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    References listed on IDEAS

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    1. Arnold, Vicky & Collier, Philip A. & Leech, Stewart A. & Rose, Jacob M. & Sutton, Steve G., 2023. "Can knowledge based systems be designed to counteract deskilling effects?," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    2. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).

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