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June 28, 2026European Journal of Innovation Management

Navigating cognitive dissonance in generative AI adoption: Ethical and psychological dimensions of knowledge worker acceptance

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Authors

MMMichal MüllerNSNatthan Elias Godinho dos SantosJKJaroslava Kubátová

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Overview

Mixed-method study examines acceptance of generative AI amidst ethical concerns in knowledge workers, highlighting the impact of cognitive dissonance.

Key Points

  • This article explores how knowledge workers navigate the adoption of generative AI in ethical workplace contexts.
  • Multi-phase mixed-method design involving qualitative interviews and a quantitative survey.
  • Study 1 included 22 semi-structured interviews analyzed through constructivist grounded theory.
  • Study 2 surveyed 543 knowledge workers using latent-variable structural equation modeling.
  • Acceptance of generative AI is influenced by a tension between necessity beliefs and ethical risk concerns.
  • Perceived risk and necessity predict cognitive dissonance, with varying significance in different models.
  • A high HTMT value indicates caution in interpreting relationships between perceived usefulness and behavioral intentions.

Cite This Study

Müller et al. (2026) studied this question.

synapsesocial.com/papers/6a40b9f361bb0a67205c60d0https://doi.org/10.1108/ejim-03-2025-0305
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