Consideration of the social context of auditors’ reliance on expert system output during evaluation of loan loss reserves
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DOI: 10.1002/(SICI)1099-1174(199909)8:33.0.CO;2-A
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References listed on IDEAS
- Trotman, Ken T. & Sng, Jennifer, 1989. "The effect of hypothesis framing, prior expectations and cue diagnosticity on auditors' information choice," Accounting, Organizations and Society, Elsevier, vol. 14(5-6), pages 565-576, October.
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- Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Amelia A. Baldwin & Carol E. Brown & Brad S. Trinkle, 2006. "Opportunities for artificial intelligence development in the accounting domain: the case for auditing," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 14(3), pages 77-86, July.
- Booker, Adam & Chiu, Victoria & Groff, Nathan & Richardson, Vernon J., 2024. "AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
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