1,720,963 research outputs found

    Do models of discretionary accruals detect actual cases of fraudulent and restated earnings?: An empirical evaluation

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    We examine the association between the existence and the magnitude of a fraudulent event, non- fraudulent restatements of financial statements, and nine competing models of discretionary accruals, accrual estimation errors (Dechow and Dichev 2002 and McNichols 2002), and the Beneish (1999) M-score. We use the size of the downward earnings restatement following the discovery of the fraud to proxy for the degree of discretion exercised to perpetrate the fraud. We find that while total accruals are associated with the existence of fraud, discretionary accruals derived from the Jones model, the modified Jones model, and performance-matched models are not associated with fraud. Accrual estimation errors and M-score have explanatory power for fraud beyond total accruals. We also find that commonly used measures of discretionary accruals, accrual estimation errors, and the M-score are associated with the magnitude of the fraud. Only the accrual estimation errors are associated with non-fraud restatements

    Getting to the bottom line: An exploration of gender and earnings quality

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    For stakeholders, such as investors and lenders, to appropriately assess a company’s financial performance, the reported accounting earnings must closely reflect the economic reality of the organization’s financial activity throughout the reporting period. The degree to which reported earnings capture economic reality is called earnings quality. Managers have an ethical obligation to report high quality earnings to interested stakeholders in a timely matter. Accounting research has identified conditions within an organization, such as management compensation contracts and pending litigation that can impact earnings quality. We extend this line of research by exploring whether another characteristic of an organization, gender diversity in senior management, influences the quality of reported earnings. Companies with more women in senior management are found to be more profitable and have higher stock returns after initial public offerings than those with fewer women in the management ranks. Our findings suggest that the improved bottom line for companies with more women senior executives is not produced through the management of earnings or lower quality earnings. Instead, earnings quality is positively associated with gender diversity in senior management

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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