A longitudinal study of applicable decision aids for detailed tasks in a financial audit
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Abstract
Suggested Citation
DOI: 10.1002/isaf.204
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References listed on IDEAS
- James R. Coakley & Carol E. Brown, 2000. "Artificial neural networks in accounting and finance: modeling issues," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(2), pages 119-144, June.
- Mohammad J. Abdolmohammadi, 1991. "Factors affecting auditors' perceptions of applicable decision aids for various audit tasks," Contemporary Accounting Research, John Wiley & Sons, vol. 7(2), pages 535-548, March.
Citations
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Cited by:
- 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.
- Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.
- Slobodan Kacanski, 2016. "ICT in Auditing: Impact of Audit Quality Norms on Interpersonal Interactions," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2016(4), pages 39-64.
- Seow, Poh-Sun, 2011. "The effects of decision aid structural restrictiveness on decision-making outcomes," International Journal of Accounting Information Systems, Elsevier, vol. 12(1), pages 40-56.
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