Innovation and Supply Chain Management
Online ISSN : 2187-8684
Print ISSN : 2187-0969
ISSN-L : 2185-0135
Volume 13, Issue 4
vol13no4
Displaying 1-1 of 1 articles from this issue
vol13no4
  • Ryota Takahashi, Ling Feng
    Article type: research-article
    2019Volume 13Issue 4 Pages 41-49
    Published: December 23, 2019
    Released on J-STAGE: March 25, 2020
    JOURNAL FREE ACCESS

    Earnings management research started in the 1970s has been developed. In the empirical research, the research area on the method of detecting earnings management is the basis of all earnings management research. In recent years,however, many criticisms have been made on the normal accrual prediction model, which is the most commonly used method of detecting earnings management in this field of study. From this view point, this paper intends to consider the detectability of earnings management with abnormal accruals calculated using normal accrual prediction model.

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