Mohammed Saram

Objective and subjective criteria are essential measures of organizational success. However, prior studies ignored these criteria when assessing employees’ career success. This study aims to examine the impact of HRM practices and employee behavior on career success for employees in the Greater Amman Municipality. This study adopted a survey for data collection, as 375 questionnaires were distributed to employees working at Greater Amman Municipality in Jordan. Four weeks were given to respondents to complete the survey. After the allotted time had passed, 246 questionnaires had been gathered, with a response rate of 65.6%. Of these, 246 questionnaires were deemed suitable for further analysis. Convenience sampling has been used as a key technique for collecting data. For data analysis, SPSS (version 25) and SmartPLS (version 3.3.9) statistical software were used. The findings indicated that objective and subjective criteria significantly affect career success. The results also showed that HRM practices and employee behavior significantly and positively influenced career success. Furthermore, employee behavior mediated the relationship between HRM practices and career success. Since each facet reflects a significant and distinctive component of career success, academics and researchers should focus on both the objective and subjective dimensions of career success.

The high pays received by executives has gained global attention. This study examines the impact of executive compensation on the performance of Jordanian banks, an area that has not been explored much. The study uses empirical methods for data collection and analysis. Dependent variables include Return on Equity (ROE) and Tobin’s Q performance, while total compensation incentives is the main independent variable. Control variables include bank size, bank age, leverage, and female executives. Through balanced panel data analysis comprising 196 bank-year observations, this quantitative research paper applies Ordinary Least Squares (OLS), fixed-effect, and Generalized Method of Moment (GMM) methods. These methods accurately establish the compensation-performance relationship in the banking sector from 2009 to 2022. The coefficient of determination (R2) for the ROE model: 51.63%, Tobin-Q model: 39.33%. These robust models support the main finding that executive compensation is significantly and positively correlated with operating and market-based performance indicators. Results validate the agency hypothesis, indicating that executives are rewarded for bank performance indicators. Consequently, a one-unit increase in executive compensation leads to a rise of 22.8 cents in ROE and 29.51 cents in Tobin-Q. Additionally, bank size, age, leverage, and female executives positively impact bank performance indicators. A modification of BSIZE, BAGE, LEV, and FEMALE by one-unit results in a proportional adjustment of 26.1 cents, 16.6 cents, 2.07 cents, and 48.6 cents, respectively, in ROE. Additionally, a one-unit alteration in BSIZE, BAGE, LEV, and FEMALE corresponds to variations of 77.6 cents, 56.42 cents, 34.39 cents, and 48.8 cents, in Tobin-Q, all in the same direction.

Banking operations have always evolved in tandem with developing technologies in all fields, providing new services to customers and facilitating easier banking transactions. Many banks have adopted modern financial technology, which has immensely impacted their financial performance, often linked to their operation markets and client bases. This study aims to examine the relationship between financial technology and bank performance using panel data for 21 Arabian banks, from Bahrain, Jordan, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates, from 2015 to 2022. Financial technology was determined by the frequency with which digitalization terminology appeared in annual reports. Bank performance is measured by return on assets and return on equity. Ordinary least squares and two-stage least squares were applied to achieve the objective. The findings reveal that financial technology positively impacts the return on assets for Arabian banks, where a one-unit increase in fintech causes a 0.37 increase in ROA. In addition, financial technology positively impacts return on equity for Arabian banks, where a one-unit increase in fintech leads to a 0.29 increase in ROE. To confirm the study results, robustness was examined for the regression results using sub-period analysis before and during COVID-19. The results obtained using the two sub-periods show that financial technology positively impacts banks’ financial performance in the two sub-periods before and during COVID-19. In addition, financial technology’s impact on financial performance in model 1 and model 2 during COVID-19 (0.78 and 0.47) is higher than its impact before COVID-19 (0.49 and 28).