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We are Tilburg University

Bio

Eddy Cardinaels (1975) is full Professor of accounting at Tilburg University and part-time professor at KU Leuven. His work combines new insights from psychology and behavioral economics to study how different information presentation (ABC, BSC, summaries of earnings releases) can affect decision making of managers within companies. Other experimental work focuses on drivers of honest reporting and social motives in inter-firm negotiations. He also conducts archival work on corporate governance examining how social connections between board members affect financial reporting, how companies use their networks to engage in tax avoidance and factors that drive (excess) compensation. Eddy has published in leading journals such as The Accounting Review, Journal of Accounting Research, and Accounting, Organizations and Society, and Review of Accounting Studies. Eddy’s work has been recognized with several prestigious awards including the greatest impact on practice award (AAA).

Courses

Recent publications

  1. Automatic summarization of earnings releases - Attributes and effects…

    Cardinaels, E., Hollander, S., & White, B. (2019). Automatic summarization of earnings releases: Attributes and effects on investors’ judgments. Review of Accounting Studies, 24(3), 860-890.
  2. Doing the Right Thing: Rotation and Managers’ Reports about Distortio…

    Cardinaels, E., Dierynck, B., & van Pelt, V. (2018). Doing the Right Thing: Rotation and Managers’ Reports about Distortion. Tilburg: SSRN.
  3. Facing a Calibration Committee - The Impact on Costly Information Col…

    Arshad, F., Cardinaels, E., & Dierynck, B. (2018). Facing a Calibration Committee: The Impact on Costly Information Collection and Subjective Performance Evaluation. SSRN.
  4. Leveling the playing field - The selection and motivation effects of …

    Cardinaels, E., Chen, C. X., & Yin, H. (2018). Leveling the playing field: The selection and motivation effects of tournament prize spread information. The Accounting Review, 93(4), 127-149.
  5. Predicting tax avoidance by means of social network analytics -

    Jasmien, L., Cardinaels, E., Bruynseels, L. M. L., De Groote, S., Baesens, B., Lemahieu, W., & Vanthienen, J. (2018). Predicting tax avoidance by means of social network analytics. Decision Support Systems, 108, 13-24.

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