Within the Saudi Arabian banking sector, the quality of work life emerges as a crucial determinant shaping employee performance. This research delves into the nuanced impacts of diverse job quality facets on employee efficacy within this domain. Employing a stratified random sampling methodology, 500 institutions were selected, yielding a 49.6% response rate, or 248 completed surveys, with the active engagement of senior management. Utilizing a quantitative paradigm, the study harnessed descriptive statistics and structural equation modeling (SEM) to elucidate the interplay between job quality dimensions and performance outcomes. The analysis revealed that elements like compensation structures, work-life equilibrium, and growth opportunities substantially influenced employee productivity. In contrast, most job quality facets garnered positive evaluations, and aspects related to wage and compensation exhibited room for enhancement. The research accentuates the imperative of elevating job quality benchmarks within the banking sector to augment employee contentment and performance metrics. This study’s insights advocate for stakeholders and policymakers to champion job quality as a pivotal driver for optimizing organizational effectiveness.
Despite the unpleasant conditions, such as lower and insufficient wages, higher working hours, longer length of service, total absence of casual workers union, indirect employment aided by the bank’s top directors, etc., casual workers are highly committed in performing their roles and achieving their organizational goals. Neoliberal theory and Equity theory were used for guidance in this study. The study employed qualitative analysis style; Total of ten banks were selected as a sample of the study involving sixty participants who were all casual workers; twenty-four female and the remaining thirty-six were male, have been selected using purposeful sampling. Content analysis was used as the method of data analysis. The study shows some of the functions performed by the casual workers of Nigerian banks include quick client service, amenability to work, client care services, opening of accounts, marketing, and timely task completion. Others include furnishing prompt client service, being prepared to work, and finishing assignments on schedule., thus, the study concludes that despite the outstanding performance of casual workers in achieving their organizational pretensions, they’re largely exploited. The recommendation of the study is that employment should be grounded on fair stipend, safety at work and protection for casual workers, in short, work should encompass fairness, equivalency, and freedom of association. Also, Payment of the benefit accumulated by the casual workers should be linked directly between casual workers and their associations.
This study aimed to measure the impact of implementing mechanisms of accounting data governance, represented by International Accounting Standards, internal auditing, external auditing, audit committees, disclosure and transparency, and performance evaluation, on the quality of financial reporting data for the commercial banks listed on the Amman Stock Exchange, totaling (15) banks. To achieve the objectives of this study, a descriptive-analytical approach was adopted by developing a questionnaire to collect the primary data measuring the study variables. The questionnaire was distributed to employees in the financial and control departments of these banks, with a total of (375) respondents from the total study population of (733) individuals. Appropriate statistical methods were used to analyze the data, test hypotheses, and the results of this study revealed a strong positive impact of five variables of accounting data governance mechanisms on achieving the quality of financial reporting data. These variables are ranked from highest to lowest in terms of the strength of impact and correlation with the quality of financial reports: disclosure and transparency, external auditing, International Accounting Standards, internal auditing, and audit committees. However, there was no impact of the performance evaluation governance variable on achieving the quality of financial reporting data. These results call on the management of commercial banks in the study to commit to the objective implementation of the requirements of accounting data governance mechanisms as stipulated by international professional assemblies.
This study deals with the impact of Vietnam bank size, loans, credit risk, and liquidity on Vietnam banks’ net interest margin, which are crucial for economic development. High profit margins result in a lower bad debt ratio due to timely loan collection and good liquidity. This study applies a panel data model to evaluate the relationship among bank size, loans, credit risk, liquidity, and marginal profitability, which are increasingly important in commercial bank growth. Data were collected from 2010 to 2022, and test methods were applied to select a good-fit model. Realizing that the factors that have a close correlation and affect the profit margin are 33.6% and 16.07%, 75.2%, 37.51%, 64.30%, and 41.11%, and R2 is 59.04%, respectively, this suggests that financial managers need to develop appropriate strategies and policies to adjust the factors that adversely affect commercial bank profitability.
The need to expand the range of banking services in Ukraine is stipulated with technological progress, the European integration processes and the legal regime of martial law introduced in the country. Under the conditions of war, the need to strengthen the security of banking activities and protect the banking system from the influence of any internal and external factors gains meaning. The topical direction of economic and legal research of scientists today is the possibility to introduce digital technologies with elements of artificial intelligence (AI) into the banking activity in Ukraine to improve its protection. The AI law as an independent branch of the Ukrainian law has not been developed so far. The sources of AI law, its functions, tasks, scope, risks and limits of legal responsibility for prohibited practices of artificial intelligence have not been defined. The purpose of the article is to analyze the theoretical and legal provisions that underpin the regulation of AI application in Ukrainian banking. The comparative legal method made it possible, considering the provisions of the draft law on AI of the European Union, to determine the trends in the development of the legal regulation of AI in Ukraine. Following the study, proposals to the legislation of Ukraine were formulated, which will contribute to the legal regulation of banking activities using digital technologies with elements of AI.
Agriculture is a determining factor regarding the development of the Romanian economy, noting its importance for population consumption and as a supplier of raw materials for the relaunch of other industries. Agricultural financing consists of credits granted to natural or legal persons for developing agricultural activities, expanding agricultural holdings, and commercializing agricultural production. The objective of this research is the statistical analysis of the determining factors in granting loans to Romanian farms. The study is based on the content analysis of the accounting reports of the 45 Romanian farms included in the research sample, based on which the profile of the farmer from the selected counties (Alba, Cluj, Mures, Sibiu, Dambovita and Prahova) is outlined. The obtained results highlight the fact that factors such as the requested amount (SUSO) are directly influenced by the worked area (TELU), by the turnover (CIAF), R = 0.6228, but also by the total value of the assets (TOTAL) R = 0.454. At the opposite pole, there is a weak correlation between SUSO and current liquidity (LICU), R = 0.2754, and the value of recorded expenses (CHEL), R = 0.3102. Implementing a credit policy that facilitates access to financing sources would support farms in modernization and development, increasing their competitiveness and general viability.
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