1,720,954 research outputs found
The Impact of Board Characteristics and CEO Duality on the Profitability of Listed Insurance Companies in Nigeria
Full text linkPurpose
This study examines how key corporate governance mechanisms—board size, board independence, board gender diversity, CEO duality, and board meeting frequency—affect the asset returns of listed insurance firms in Nigeria. It addresses a significant gap in the literature by focusing on market-based performance indicators rather than traditional accounting measures.
Methodology
Grounded in agency, stewardship, and resource-dependence theories, the study employs panel regression techniques using data from Nigerian listed insurance companies. The analysis explores whether internal governance structures influence investor-driven outcomes reflected in asset returns.
Findings
Board size, board independence, and meeting frequency significantly enhance asset returns, underscoring the importance of monitoring efficiency and active board engagement. CEO duality exhibits mixed effects, reflecting the theoretical tension between unified leadership and agency risks. Board gender diversity shows no significant impact, suggesting institutional or structural limitations in the Nigerian insurance context.
Conclusion
The results highlight the need for governance reforms that strengthen board independence, improve board engagement, and promote meaningful female representation. Regulators and investors may use these insights to strengthen governance quality and financial resilience
Impacts of Climate Change, Environmental Degradation, and Regulatory Compliance on Insurance Industry Dynamics in Emerging Economies
Full text linkPurpose
This study investigates the impact of temperature variability (TMP), ecological risks (ENV), and regulatory measures (REG) on the insurance industry (INS) in Lagos, Nigeria. It examines how climate change, environmental issues, and evolving policy regulations impact insurance operations and risk management.
Methodology
A quantitative research design was adopted, utilizing survey data collected from 150 insurance professionals across life, non-life, and reinsurance companies. The data were analyzed using descriptive statistics, chi-square tests, and multiple regression analyses to assess the influence of TMP, ENV, and REG on the performance of the insurance industry.
Findings
Results indicate that temperature variability (TMP) significantly increases insurance claims at the 1% significance level, suggesting a need to revise risk assessment and pricing models. Ecological risks (ENV) exert a statistically significant negative effect at the 5% level, emphasizing the importance of adaptive risk management strategies. Regulatory measures (REG) have a positive and significant effect at the 5% level, promoting compliance, innovation, and operational stability.
Conclusion
This study provides real-world evidence of the relationship between environmental change, regulation, and insurance performance in a developing economy. It offers valuable insights for sustainable insurance in climate-sensitive regions. The results indicate that policymakers and insurers should incorporate climate risk into their financial planning, underwriting, and operational strategies. Stronger regulations and adaptive risk management can make the industry more resilient
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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