scispace - formally typeset
Search or ask a question
Author

Charles P. Cullinan

Bio: Charles P. Cullinan is an academic researcher from Bryant University. The author has contributed to research in topics: Audit & Corporate social responsibility. The author has an hindex of 18, co-authored 63 publications receiving 970 citations. Previous affiliations of Charles P. Cullinan include University of Kentucky & University of Central Florida.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the authors present a model of the auditor's misstatement detection and reporting process, which consists of three steps: (1) awareness of the transaction, (2) recognition that the transaction's accounting treatment results in a misstatement, and (3) a willingness to modify the audit opinion to disclose the nature of misstatement if management does not correct the misstatements.

98 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that the increased emphasis on systems assessments is at odds with the profession's position regarding fraud detection because most material frauds originate at the top levels of the organization, where controls and systems are least prevalent and effective.

79 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the relationship between ownership structure and conservatism in China and found that companies with a large shareholder tend to be more conservative than those with minority ownership, and that conservatism is negatively associated with the percentage of shares held by the largest shareholder.

75 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined whether accounting policy choices in the areas of inventory and depreciation are related to the extent of unionization in a firm and found no relationship between unionization and inventory policy choice.

56 citations

Journal ArticleDOI
TL;DR: In this paper, the authors synthesize the major findings of tax avoidance research from accounting and finance literatures over the past ten years and consider theoretical developments and related empirical findings about the interconnected issues of measuring tax avoidance, and the possible causes and outcomes of corporate tax avoidance.
Abstract: Tax avoidance can range from reduction of the corporate tax burden by legitimate use of tax rules to violation of tax laws. In this paper, we endeavor to synthesize the major findings of tax avoidance research from the accounting and finance literatures over the past ten years. We consider theoretical developments and the related empirical findings about the interconnected issues of measuring tax avoidance, and the possible causes and outcomes of corporate tax avoidance. We present some ideas for further research to examine underexplored topics regarding tax avoidance.

55 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: The authors evaluate and summarize the large body of audit fee research and use meta-analysis to test the combined effect of the most commonly used independent variables, such as loss by the client and leverage, which have become significant in comparatively recent studies.
Abstract: We evaluate and summarize the large body of audit fee research and use meta-analysis to test the combined effect of the most commonly used independent variables. The perspective provided by the meta-analysis allows us to reconsider the anomalies, mixed results, and gaps in audit fee research. We find that, although many independent variables have consistent results, several show no clear pattern to the results and others only show significant results in certain periods or particular countries. These variables include a loss by the client and leverage, which have become significant in comparatively recent studies; internal auditing and governance, both of which have mixed results; auditor specialization, regarding which there is still some uncertainty; and the audit opinion, which was a significant variable before 1990 but not in more recent studies.

1,005 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the association between measures of earnings quality and auditor industry specialization and found that clients of industry specialist auditors have lower discretionary accruals and higher ERC than clients of nonspecialist auditors.
Abstract: This study examines the association between measures of earnings quality and auditor industry specialization. Prior work has examined the association between auditor brand name and earnings quality, using auditor brand name to proxy for audit quality. Recent work has hypothesized that auditor industry specialization also contributes to audit quality. Extending this literature, we compare the absolute level of discretionary accruals (DAC) and earnings response coefficients (ERC) of firms audited by industry specialists with those of firms not audited by industry specialists. We restrict our study to clients of Big 6 (and later Big 5) auditors to control for brand name. Because industry specialization is unobservable, we use multiple proxies for it. After controlling for variables established in prior work to be related to DAC and the ERC, we find clients of industry specialist auditors have lower DAC and higher ERC than clients of nonspecialist auditors. This finding is consistent with clients of industry ...

764 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that the institutions and sites where regulation takes place affect both the outcome of the regulatory process and the legitimacy of the rules and practices produced, and that changes in regulatory processes affect opportunities for democratic control and legitimacy.
Abstract: This review paper argues that the institutions and sites of professionalization projects and regulatory processes matter. The institutions and locations where regulation takes place affect both the outcome of the regulatory process and the legitimacy of the rules and practices produced. Changes in regulatory processes affect opportunities for democratic control and legitimacy. A common position in the accounting literature is to examine both the process of professionalization and accounting and audit regulation within and around professional associations and related organizations, such as standard setting bodies and regulatory agencies. We argue that professional firms are increasingly important in professionalization and regulatory processes and have not received the attention that they warrant: an examination of the multi-national professional service firms (currently known as the Big 4) can enhance an understanding of professionalization and professional regulation. We suggest that these are important sites where accounting practices are themselves standardized and regulated, where accounting rules and standards are translated into practice, where professional identities are mediated, formed and transformed, and where important conceptions of personal, professional and corporate governance and management are transmitted.

691 citations

Journal ArticleDOI
TL;DR: The results show that SMEs do not exploit all the resources for implementing Industry 4.0 and often limit themselves to the adoption of Cloud Computing and the Internet of Things and there is still absence of real applications in the field of production planning.
Abstract: Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional ...

673 citations

Journal ArticleDOI
TL;DR: This paper explores the effectiveness of Data Mining (DM) classification techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS.
Abstract: This paper explores the effectiveness of Data Mining (DM) classification techniques in detecting firms that issue fraudulent financial statements (FFS) and deals with the identification of factors associated to FFS. In accomplishing the task of management fraud detection, auditors could be facilitated in their work by using Data Mining techniques. This study investigates the usefulness of Decision Trees, Neural Networks and Bayesian Belief Networks in the identification of fraudulent financial statements. The input vector is composed of ratios derived from financial statements. The three models are compared in terms of their performances.

587 citations