Organizations are gradually focusing on creating a healthy workplace for their employees and becoming more people-centric. This occurs because a healthy workforce increases the work performance of the organisation and the personal development of its employees. This study aims to investigate the HR functions that impact employee motivation in the Malaysian banking sector. The three HR functions that were selected were training and development, rewards and recognition, and career management. The study utilised a cross-sectional design, and the research instruments were adapted from a number of past studies. A total of 350 respondents from the Malaysian banking industry were recruited. Using SPSS Version 26.0, the research hypotheses were examined. The results show that rewards and recognition are not significant predictors of employee motivation in the Malaysian banking industry; however, training and development and career management are significant predictors of employee motivation. These results will help the human resources department develop and improve its HR operations.

Asian Infrastructure Investment Bank’s president Mr. Jin Liqun shares with JIPD Editor-in-Chief, Dr. Gu Qingyang, his passion for infrastructure finance, as he reflects upon his goal of steering an environmentally friend and corruption-free AIIB toward building social-impacting infrastructure across Asia.
From governmental departments to international financial institutes, Mr. Jin Liqun has undertaken almost every essential role in finance. With his vast experience across the private and public sectors, particularly in multilateral development banks, Mr. Jin Liqun currently serves as Asian Infrastructure Investment Bank (AIIB)’s first President since its founding in 2016, following a stint as Secretary-General of the Multilateral Interim Secretariat created to establish the bank. Beginning from his two decades of governmental experience at the Chinese Ministry of Finance, rising from the rank of Deputy Director General to Vice Minister, Mr. Jin was then called to serve as Vice President, and then Ranking Vice President, of the Asian Development Bank, and later as Alternate Executive Director for China at the World Bank and at the Global Environment Facility. Mr. Jin had also served as Chairman of China International Capital Corporation Ltd., China’s first joint-venture investment bank, in addition to serving as Chairman of the Supervisory Board of the sovereign wealth fund China Investment Corporation and as Chairman of the International Forum of Sovereign Wealth Funds.

In the Fourth Industrial Revolution (4IR) era, the rapid digitalisation of services poses both opportunities and challenges for the banking sector. This study addresses how adopting artificial intelligence (AI) and online and mobile banking advancements can influence customer satisfaction, particularly in Kaduna State, Nigeria. Despite significant investments in AI and digital banking technologies, banks often struggle to align these innovations with customer expectations and satisfaction. Using Structural Equation Modeling (SEM), this research investigates the impact of customer satisfaction with online banking (C_O) on AI integration (I_A) and mobile banking convenience (C_M). The SEM model reveals that customer satisfaction with online banking significantly influences AI integration (path coefficient of 0.40) and mobile banking convenience (path coefficient of 0.68). These results highlight a crucial problem: while technological advancements in banking are growing, their effectiveness is highly dependent on customer satisfaction with existing digital services. The study underscores the need for banks to prioritise enhancing online banking experiences as a strategic lever to improve AI integration and mobile banking convenience. Consequently, the research recommends that Nigerian banks develop comprehensive frameworks to evaluate and optimise their technology integration strategies, ensuring that technological innovations align with customer needs and expectations in the rapidly evolving digital landscape.

The ongoing dissemination of globalization and digitalization may suggest that personal relationships are becoming less crucial in the context of retail banking and financial services. In Hungary, in addition to private banking, which is associated with high income levels, personal banking also plays an important role. The objective of this study is to develop a model that can identify the factors that determine customer satisfaction and their relative importance. Furthermore, the aim is to incorporate gender and age as moderator variables to identify demographic differences in satisfaction. The analysis was conducted via a questionnaire survey in October to November 2023 employing a purposive sampling approach in a university environment, as the respondents are likely to possess the highest level of existing financial knowledge within this population. The 214 valid responses were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, with the objective of contributing to the development of theory in this field of study. The results demonstrate that perception (β = 0.519) and reliability (β = 0.253) collectively explained 51.8% of the variance in satisfaction. Moreover, the results indicate that perception accounts for 49.2% of the variance in reliability, suggesting the existence of an indirect effect on satisfaction. Therefore, the findings suggest that, despite the advent of digital banking, face to face service remains a pertinent concern in Hungary, and financial institutions should prioritize the factors that shape customer satisfaction. The study contributes to the literature and to the development of customer loyalty strategies for banks based on these findings.

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 paper investigates the factors influencing credit growth in Kosovo, focusing on the relationship between credit activity and key economic variables, including GDP, FDI, CPI, and interest rates. Its analysis targets loans issued to businesses and households in Kosovo, employing a VAR model integrated into a VEC model to investigate the determinants of credit growth. The findings were validated using OLS regression. Additionally, the study includes a normality test, a model stability test (Inverse Roots AR Characteristic Polynomial), a Granger causality test for short-term relationships, and variance decomposition to analyze variable shocks over time. This research demonstrates that loan growth is primarily driven by its historical values. The VEC model shows that, in the long run, economic growth in Kosovo leads to less credit growth, showing a negative link between it and GDP. Higher interest rates also reduce credit growth, showing another negative link. On the other hand, more foreign direct investment (FDI) increases credit demand, showing a positive link between credit growth and FDI. The results show that loans and inflation (CPI) are positively linked, meaning higher inflation leads to more credit growth. Similarly, more foreign direct investment (FDI) increases credit demand, showing a positive link between FDI and credit growth. In the long term, higher inflation is connected to greater credit growth. In the short term, the VAR model suggests that GDP has a small to moderate effect on loans, while FDI has a slightly negative effect. In the VAR model, interest rates have a mixed effect: one coefficient is positive and the other negative, showing a delayed negative impact on loan growth. CPI has a small and negative effect, indicating little short-term influence on credit growth. The OLS regression supports the VAR results, finding no effect of GDP on loans, a small negative effect from FDI, a strong negative effect from interest rates, and no effect from CPI. This study provides a detailed analysis and adds to the research by showing how macroeconomic factors affect credit growth in Kosovo. The findings offer useful insights for policymakers and researchers about the relationship between these factors and credit activity.