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.
The study acknowledges empirical, conceptual, and policy-driven papers that address emotional assertiveness, assertive communication, and assertive training as means of improving employee performance in Chinese banking, which is a significant contributor to the Chinese economy. Most banking enterprises have suffered from poor performance and a lack of aggressiveness in operation. It can be used by both managers and employees to create a good interaction process and a favorable work environment, which can help elevate performances. The research employs a quantitative approach, utilizing a questionnaire survey and simple random sampling. The sample comprises 381 employees from the Chinese banking industry, with a response rate above 70%. The regression analysis confirms that emotional assertiveness, assertive training, and assertive communication significantly impact employee performance. In conclusion, this study contributes to academia and industries by addressing the importance of assertiveness in improving performance. The policy-driven evidence on the conceptual framework of HR literacy in emotional, training, communication, and job performance should be adopted and reviewed in the country’s existing management by objective policy and legal framework in resolving employee job performance and training that are still underutilized and have a great deal of potential to satisfy the employees and management needs by establishing and emerging nations.
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.
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