Dataset Information

Comprehensive dataset for corporate governance in Oman: Data for a three-level quality assessment of corporate governance.

ABSTRACT: This article describes a dataset on firm-level corporate governance (CG) mechanisms in the Sultanate of Oman. It incorporates, in cross-sectional time series (pooled panel) data, eleven variables: corporate governance quality, board of directors' quality, audit committee quality, board independence, board expertise, board size, board meetings, audit committee independence, audit committee expertise, audit committee size, and audit committee meetings. The dataset is derived from 1540 firm-year observations for the period 2005 to 2017, excluding financial firms (482) and firms with missing data (29), resulting in a final sample of 1029 firm-year observations. The data were extracted from six sources: OSIRIS database, CG reports, Google, firm's website, directors' websites, and Bloomberg. Scholarly researchers can readily use this dataset as two data types were created to allow individual and composite measurements of corporate governance mechanisms. The individual determinants are: board independence, board expertise, board size, board meetings, audit committee independence, audit committee expertise, audit committee size, and audit committee meetings. The composite measurements are: corporate governance quality, board of directors' quality, and audit committee quality. This dataset could be used for investigating corporate governance mechanisms in different business and market issues.

SUBMITTER: Baatwah SR

PROVIDER: S-EPMC7453108 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Comprehensive dataset for corporate governance in Oman: Data for a three-level quality assessment of corporate governance.

Baatwah Saeed Rabea SR Aljaaidi Khaled Salmen KS Almoataz Ehsan Saleh ES

Data in brief 20200804

This article describes a dataset on firm-level corporate governance (CG) mechanisms in the Sultanate of Oman. It incorporates, in cross-sectional time series (pooled panel) data, eleven variables: corporate governance quality, board of directors' quality, audit committee quality, board independence, board expertise, board size, board meetings, audit committee independence, audit committee expertise, audit committee size, and audit committee meetings. The dataset is derived from 1540 firm-year ob ...[more]

PMID: 32885006

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Project description:Shared governance is a concept that has been gaining popularity in the nursing field. It is a framework that allows nurses to have a greater role in clinical decision-making. This approach recognizes the expertise and knowledge that nurses possess and allows them to be active participants in the decision-making process. It is a way to empower nurses and to ensure that the best possible care is being provided to patients. By promoting shared governance, nurses are able to work collaboratively with other healthcare professionals and provide high-quality care that is evidence-based and patient-centered. This article presents data that was collected in an empirical study to investigate the impact of implementing a shared governance model on the perceptions of professional governance among nurses working in a tertiary hospital in Saudi Arabia by measuring the level of shared governance from the lowest level, the traditional governance level (management and administration only), to the highest level, the self-governance level (staff only), through six dimensions of nursing professional governance, including personnel, information, resources, participation, practice, and goals. The study was conducted over 8 months between July 2022 to February 2023 with the involvement of a random sample of 200 clinical nurses who completed a structured questionnaire before and after the study interventions as part of quasi-research. The interventions included designing and implementing a shared governance model, and providing a shared governance training to clinical to nurse participants. The pretest-posttest experimental group showed that there were improvements in the level of shared governance (shared governance level - primarily management/administration with some staff input), which denotes the effectiveness of nursing professionals governance training among nurses working in a tertiary hospital in Saudi Arabia. The data used in this study can be utilized by future studies for benchmarking purposes.

Dataset Information

Comprehensive dataset for corporate governance in Oman: Data for a three-level quality assessment of corporate governance.

Publications

Comprehensive dataset for corporate governance in Oman: Data for a three-level quality assessment of corporate governance.

Similar Datasets

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