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Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied Artificial Intelligence and Trust—The Case of Autonomous Vehicles and Medical Assistance Devices. Technological Forecasting and Social Change, 105, 105-120.
https://doi.org/10.1016/j.techfore.2015.12.014

has been cited by the following article:

• TITLE: The Economics of Trust: AI, Consumer Confidence, and Market Behavior

  AUTHORS: Cynthia Silvia, Karolina Kopczynski, Gage Patavino

  KEYWORDS: Signaling Theory, Economics, Market Efficiency

  JOURNAL NAME: Modern Economy, Vol.17 No.8, August 31, 2026

  ABSTRACT: This article describes a conceptual literature review based on signaling theory, reputation economics, and transaction cost economics of trust in AI-enabled markets. As artificial intelligence is growing in application and in operation, trust is a highly critical economic resource that is affecting consumer behavior, technology adoption, and market efficiency. Based on extant empirical evidence and theoretical groundwork, this review provides an overview of the literature on how ethical and transparent AI practices can reduce information asymmetry, strengthen organizational reputation, and enhance competitive advantage. The analysis suggests ways that firms may utilize trust-building mechanisms to foster more stable, equitable, and efficient digital markets.