1,721,012 research outputs found
Determinants of Corporate Corruption Disclosures: Evidence Based on EU Listed Firms
Purpose
This study aims to examine the impact of corporate board characteristics and country-level legal system on corruption disclosures mandated by the recent European Union (EU) Directive No. 95/2014.
Design/methodology/approach
Based on a sample of 234 European listed companies and covering the 2017–2018 period, this study uses regression analyses to empirically test the association of independent directors, board gender diversity and country’s legal system with disclosure of corruption information.
Findings
The presence of independent directors and female directors is positively associated with corporate corruption disclosures. The association between independent directors and corruption disclosures is especially strong when firms are operating in the common law environments.
Research limitations/implications
This study is exclusively focused on larger European listed firms and therefore the findings may not be valid for small and medium firms.
Practical implications
This study provides important information to policymakers to have a better understanding of the factors that influence firms’ disclosure policy on corruption-related activities. It also offers useful information to investors because it shows firms’ propensity to disclose corruption information that would enable them to evaluate their risk and return better.
Originality/value
To the best of the authors’ knowledge, this is the first study that evaluates firms’ response to the EU Directive No. 95/2014 in disclosing corruption information after its implementation in 2017. It documents the effective role played by female directors in influencing firms’ information disclosure policies. It also confirms that common law environment is more conducive to disclosures
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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