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Abernethy, M., Bouwens, J. F. M. G., Hofmann, C., & van Lent, L. (2020). Altruism, Social Norms and Incentive Contract Design. Review of Accounting Studies. Advance online publication. https://doi.org/10.2139/ssrn.2067040
2019
Bouwens, J., & Kroos, P. (2019). The Effect of Delegation of Decision Rights and Control: The Case of Lending Decisions for Small Firms. Management Accounting Research, 43, 29-44. Advance online publication. https://doi.org/10.1016/j.mar.2018.07.004[details]
2018
Bouwens, J. F. M. G., & Kroos, P. (Accepted/In press). The Effect of Organizational Hierarchy on Loan rates and Risk Assessments. Management Accounting Research.
Bouwens, J., Hofmann, C., & van Lent, L. (2018). Performance Measures and Intra-Firm Spillovers: Theory and Evidence. Journal of Management Accounting Research, 30(3), 117-144. https://doi.org/10.2308/jmar-51903[details]
Bouwens, J. F. M. G. (Accepted/In press). Leadership and control system design. Management Accounting Research.
Bouwens, J. F. M. G., & Steens, B. (2016). Full-Cost Transfer Pricing and Cost Management. Journal of Management Accounting Research, 28(3), 63-81. https://doi.org/10.2139/ssrn.1329404
2013
Bouwens, J. F. M. G. (Accepted/In press). The Role of Performance Measures in the Intertemporal Decisions of Business Unit Managers. Contemporary Accounting Research.
2007
Bouwens, J. F. M. G. (Accepted/In press). Assessing the performance of business unit managers. Journal of Accounting Research .
2006
Bouwens, J. F. M. G. (Accepted/In press). Performance measure properties and the effect of incentive contracts. Journal of Management Accounting Research.
2005
Bouwens, J. F. M. G. (Accepted/In press). Determinants of accounting innovation implementation. Abacus, 41(3), 217-241.
2004
Bouwens, J. F. M. G. (Accepted/In press). Determinants of control system design in divisionalized firms. The Accounting Review.
2000
Bouwens, J., & Abernethy, M. A. (2000). The consequences of customization on the use of Management Accounting Systems. Accounting, Organizations and Society, 25(3), 221-241. https://doi.org/10.1016/S0361-3682(99)00043-4
Bhattacharya, I. (2023). Advancing the power of machine learning in financial decision-making: Anomaly detection, fraud identification, and earnings forecasting. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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