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Implementation Guidance for Standards and Revenue Trend in Aggressive Reporting

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Listed:
  • Lim, Yingzhee
  • Azmi, Anna
  • Devi, S. Susela
  • Mahzan, Nurmazilah

Abstract

This study examines the interactive effect of including the implementation guidance in accounting standards (with and without indicators) and different reported revenue trends (increasing, decreasing, and volatile) in aggressive reporting. For this purpose, we adopt a 2×3 between-subjects experiment. Aggressive reporting is measured by managers' perception of control and judgment regarding revenue recognition. The results of this experiment indicate that including the implementation guidance can constrain managers' revenue recognition judgments. The results show that for decreasing revenue trends, the inclusion of indicators for implementation does not influences managers' judgments regarding revenue recognition. For increasing revenue trends, the inclusion of guidance indicators matters in that the managers' judgments regarding revenue recognition are more aggressive in conditions without indicators than in conditions with indicators. The findings of this study extend the literature on implementation guidance in accounting standards and aggressive reporting.

Suggested Citation

  • Lim, Yingzhee & Azmi, Anna & Devi, S. Susela & Mahzan, Nurmazilah, 2017. "Implementation Guidance for Standards and Revenue Trend in Aggressive Reporting," The International Journal of Accounting, Elsevier, vol. 52(4), pages 342-353.
    • Handle: RePEc:eee:accoun:v:52:y:2017:i:4:p:342-353
    DOI: 10.1016/j.intacc.2017.09.001
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    References listed on IDEAS

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    1. Richardson, Scott A. & Sloan, Richard G. & Soliman, Mark T. & Tuna, Irem, 2005. "Accrual reliability, earnings persistence and stock prices," Journal of Accounting and Economics, Elsevier, vol. 39(3), pages 437-485, September.
    2. Abhijit Barua & Joseph Legoria & Jacquelyn Sue Moffitt, 2006. "Accruals Management to Achieve Earnings Benchmarks: A Comparison of Pre-managed Profit and Loss Firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5-6), pages 653-670.
    3. Boone, Jeff P. & Raman, K.K., 2007. "Does implementation guidance affect opportunistic reporting and value relevance of earnings?," Journal of Accounting and Public Policy, Elsevier, vol. 26(2), pages 160-192.
    4. Hoffman, Vicky B. & Patton, James M., 2002. "How are loss contingency accruals affected by alternative reporting criteria and incentives?," Journal of Accounting and Public Policy, Elsevier, vol. 21(2), pages 151-167.
    5. Weber, Manuela, 2008. "The business case for corporate social responsibility: A company-level measurement approach for CSR," European Management Journal, Elsevier, vol. 26(4), pages 247-261, August.
    6. Jegadeesh, Narasimhan & Livnat, Joshua, 2006. "Revenue surprises and stock returns," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 147-171, April.
    7. Degeorge, Francois & Patel, Jayendu & Zeckhauser, Richard, 1999. "Earnings Management to Exceed Thresholds," The Journal of Business, University of Chicago Press, vol. 72(1), pages 1-33, January.
    8. Itay Kama, 2009. "On the Market Reaction to Revenue and Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1-2), pages 31-50.
    9. Lisa Koonce & Marlys Gascho Lipe, 2010. "Earnings Trend and Performance Relative to Benchmarks: How Consistency Influences Their Joint Use," Journal of Accounting Research, Wiley Blackwell, vol. 48(4), pages 859-884, September.
    10. Mala, Rajni & Chand, Parmod, 2014. "Impacts of Additional Guidance Provided on International Financial Reporting Standards on the Judgments of Accountants," The International Journal of Accounting, Elsevier, vol. 49(2), pages 263-288.
    11. Shana Clor‐Proell & Mark W. Nelson, 2007. "Accounting Standards, Implementation Guidance, and Example‐Based Reasoning," Journal of Accounting Research, Wiley Blackwell, vol. 45(4), pages 699-730, September.
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