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    政大機構典藏 > 商學院 > 會計學系 > 學位論文 >  Item 140.119/140572


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    题名: 運用機器學習探索事務所之市占率成長幅度與PCAOB檢查報告揭露之審計缺陷之關聯性
    Using Machine Learning to Explore the Association Between the Audit Firms` Market Share Growth and Audit Deficiencies Revealed in the PCAOB Inspection Report
    作者: 陳楹家
    Chen, Ying-Jia
    贡献者: 張祐慈
    Chang, Yu-Tzu
    陳楹家
    Chen, Ying-Jia
    关键词: PCAOB檢查報告
    機器學習
    成長陣痛
    PCAOB inspection report
    Machine learning
    Growing pain
    日期: 2022
    上传时间: 2022-07-01 16:03:51 (UTC+8)
    摘要: 本研究旨在探討事務所市占率成長幅度與公開發行公司之會計監督委員會(PCAOB)檢查報告揭露之審計缺陷之關聯。本研究以機器學習作為研究方式，分析大量PCAOB檢查報告中之審計缺陷類型。實證結果顯示，市占率成長幅度在該年排名第90百分位數以上之小型事務所，其發生審計缺陷之機率較排名第89百分位數以下之事務所高1.4251倍，換言之，市占率成長幅度過快，將導致「成長陣痛」，使審計缺陷發生之機率增加，研究結果符合預期。本研究亦發現，市占率成長幅度越高，越可能發生「與財務報表層級相關」以及「與GAAP相關」之二類型審計缺陷。本研究之貢獻在於運用新興機器學習演算提供PCAOB檢查報告之主題分析，研究結果或能闡明事務所市占率成長幅度對PCAOB檢查報告揭露之審計缺陷之影響。
    The purpose of this study is to explore the association between the growth rate of the audit firm`s market share and the audit deficiencies revealed in the Public Company Accounting Oversight Board inspection reports. This study uses machine learning as a research method to analyze the audit defect types in a large number of PCAOB inspection reports. The empirical results show that small audit firms whose market share growth rate is above the 90th percentile in that year are 1.4251 times more likely to have audit deficiencies than those ranked below the 89th percentile. Excessive growth in market share will lead to "growing pains" and increase the probability of audit deficiencies. The research results are in line with expectations. This study also found that the higher the market share growth rate, the more likely two types of audit deficiencies, "related to the financial statement level" and "related to GAAP", will occur. The contribution of this study is to provide a thematic analysis of PCAOB inspection reports using emerging machine learning algorithms, and the findings may shed light on the impact of an audit firm’s market share growth on audit deficiencies revealed by the PCAOB.
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    描述: 碩士
    國立政治大學
    會計學系
    109353014
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0109353014
    数据类型: thesis
    DOI: 10.6814/NCCU202200556
    显示于类别:[會計學系] 學位論文

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