Role of artificial intelligence for strengthening human resource system via mediation of technology competence

“Employee turnover” as an expression is broadly used in business organization. Despite the fact that several studies have been performed on this topic, little research has been conducted on examining the causes and leading factors of turnover as well, as advising some feasible approaches, which can be applied by bosses to ensure that employees will continue in their respective organizations to enhance organizational effectiveness and productivity. The main purpose of this study is to determine the reasons and key factors in the perspectives of the relevant literature and identify to the intention of employee turnover. This conceptual paper also suggests various possible strategies on how to minimize the turnover and retain employees in the organizations. Hence, the paper has proposed a conceptual framework that shows the major variables in explaining the phenomenon of employee turnover and addressing sound retention strategies to handle these issues.

This study investigates the Millennials and Gen Z perception toward Fintech services, their usage intention, and their financial behavior. The study took place in the Palestinian context with a global comparison among these generations. The authors used the questionnaire-based technique to meet the study objective. West Bank respondents were selected for this purpose; the study instrument was distributed through different social media channels. The findings show that reliability/trust and ease of use are the main issues in using a financial service. Millennials are more aware (48%) of Fintech services than Gen Z (38%), which is different from the global view where Gen Z is the highest. The smartphone penetration rate is 100% among both generations, while the financial inclusion ratio in Palestine is around 36.4%; these clear indicators are the main Fintech drivers to promote Fintech services in Palestine, and these are global indicators for Fintech adoption intention. Both generations (84%) intend to use e-wallet services, Millennials (87%) and Gen Z is (70%) prefer using real-time services. Half of the respondents see that Fintech plays a complementary role with banks. The majority see that Fintech services are cheaper than bank services. Wealth management, and robot advisor services, and both generations are looking to acquire them in the long run. The authors revealed that 85% of respondents from both generations trust banks, so it is recommended that banks digitize their financial services to meet the customers’ needs, considering that 90% of respondents see that promotions are a key issue in adopting Fintech services. Promoting e-wallet services by banks is highly recommended due to the massive rivalry with Fintech parties.

This study aims to investigate the influence of servant leadership on job satisfaction with individual character as a moderating variable. It used a quantitative approach with multiple linear regression analysis. The population of this study were employees of the Central Sulawesi province industry and trade office. It involved 72 samples selected using a purposive sampling technique. The results showed that servant leadership significantly influence job satisfaction with a value of 82.5%. The most significant factor affecting job satisfaction is wisdom (correlation coefficient = 0.863) in which the higher the wisdom, the higher the job satisfaction. The next factor is persuasive mapping in which the higher the persuasive mapping, the higher the job satisfaction (correlation coefficient = 0.697). Then, it was followed by altruistic calling with the correlation coefficient value of 0.524 in which the higher the altruistic calling, the higher the job satisfaction. The last is emotional healing with a correlation coefficient value of 0.291 in which the higher the emotional healing, the higher the job satisfaction. On the other hand, organizational stewardship is the only factor does not influence the job satisfaction (correlation coefficient = 0.009).