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Consideration of the social context of auditors’ reliance on expert system output during evaluation of loan loss reserves

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  • Laurie Swinney

Abstract

Auditors are accountable for judgments made within the social context of the accounting firm. Tetlock (1985) states that decision makers often use the acceptability heuristic to cope with accountability. According to this heuristic, individuals make decisions which they are reasonably confident will be acceptable by others to whom they are accountable. When auditors form judgments with the aid of expert system output, they must determine the appropriate level of reliance on the expert system output. Since the expert system output is based on the input of experts, auditors may decide the output is ‘acceptable‘ and overrely on the output. In addition, because of the conservative nature of the accounting firm, expert system output which is negative may be viewed as more acceptable than positive output leading to greater overreliance. The results indicate that auditors do overrely on expert system output and rely to a greater degree on output which is negative versus output which is positive. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • Laurie Swinney, 1999. "Consideration of the social context of auditors’ reliance on expert system output during evaluation of loan loss reserves," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(3), pages 199-213, September.
    • Handle: RePEc:wly:isacfm:v:8:y:1999:i:3:p:199-213
    DOI: 10.1002/(SICI)1099-1174(199909)8:33.0.CO;2-A
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    References listed on IDEAS

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    1. Kida, T, 1984. "The Impact Of Hypothesis-Testing Strategies On Auditors Use Of Judgment Data," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 332-340.
    2. 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.
    3. Ashton, Rh, 1990. "Pressure And Performance In Accounting Decision Settings - Paradoxical Effects Of Incentives, Feedback, And Justification," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 148-180.
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