This study aims to focus on identifying how unemployment and inflation and their related aspects affect Palestinian economic growth. The study employed the Autoregressive Distributed Lag (ARDL) model employing annual time series data for estimate and result analysis. The ARDL model was estimated in both long and short run as follows; on one hand, the results showed that there is a potential negative impact of aspects-related unemployment on economic growth in Palestine over the long-term. On the other hand, over the long term also, it can be noticed that there is a positive impact of aspects-related inflation on economic growth in the state of Palestine. In the short term, a significant negative effect of unemployment (UN) was discovered on economic growth, while there was no effect of inflation (INF), despite being positive. The error-correction model (ECM) has been adopted in this model, and the results revealed that the ECM co-efficient [ECM (−1)] was positive and equaled to (0.0183) and therefore was not significant. Based on the results obtained, the study recommended that there a need to stabilize inflation through effective price control mechanisms that can enhance macroeconomic conditions, increase investor confidence, stimulate economic growth, and work to create opportunities for the full use of human resources by stimulating self-employment to engage in entrepreneurial activities according to the qualifications of graduates. Finally, it equips population, especially youth, with relevant skills to increase productivity and reduce unemployment.

This study aims to understand and evaluate the impact of applying governance principles on digital transformation in Palestinian banks listed on the Palestine Stock Exchange. A questionnaire was distributed to 750 employees from the study population. It included four axes representing governance principles (board of directors’ tasks, board practices and conflicts of interest, disclosure and transparency, and risk management) and a fifth axe representing digital transformation. The study found a strong, statistically significant positive effect of applying governance principles on digital transformation in Palestinian banks. The results also showed the keenness of the boards of directors to discuss the commitment of bank management to implement the provisions and regulations of governance issued by the Palestine Monetary Authority. This helped in developing and approving the necessary policies for risk management and enhanced the effectiveness of oversight of the digital transformation system. This was reflected in increasing customer confidence in the banks’ performance and maintaining the interests of related parties. The study recommended the need to enhance the level of transparency and disclosure regarding governance performance and the progress of digital transformation in banks. It also recommended developing an integrated framework for analyzing and managing risks related to digital transformation. This assists in providing comprehensive training and development programs for practitioners to enhance their capabilities in the field of digital transformation and applying governance principles.

Objective: The study aims to shed light on the role of artificial intelligence in enhancing the competitive advantage of insurance companies listed on the Palestine Stock Exchange and as a result promoting innovation. Theoretical Framework: The study relied on the knowledge-based theory (innovative knowledge), which is difficult to replicate and helps the company become a market leader. Method: The study used a descriptive-analytical approach And correlation coefficients, with a Random sample consisting of 100 managers and heads of marketing, sales, and customer service departments. Results and Discussion: The results revealed that the overall degree of artificial intelligence in the sample companies was between moderate and high. The findings confirmed the presence of a positive, statistically significant effect of using artificial intelligence dimensions in enhancing the competitive advantage of insurance companies and therefore promoting innovation. Research Implications: Based on the aforementioned results, the study recommended expanding investment in artificial intelligence areas while adopting modern marketing approaches in dealing with policyholders. It emphasized the importance of taking into account customers' perspectives and expectations to meet their needs and desires. Originality/Value: This study contributes to the understanding of how artificial intelligence can be leveraged to enhance the competitive advantage of insurance companies, providing a strategic perspective based on the knowledge-based theory.

This study examines the effect of the broad money supply (M2) on the per capita economic growth in Palestine using time series data from 2000 to 2020. The study used autoregressive distributed lag model (ARDL), the cointegration approach and the error correction model to investigate the effect of money supply on gross domestic product (GDP) per capita. The model is determined by four macroeconomic variables, namely, gross domestic product (GDP) per capita, broad money supply (M2), gross fixed capital formation (GFCF), and inflation rate (INF). The results show that the money supply, the total capital formation, and the inflation rate have a positive impact on the economic growth in the short run. However, none of these variables affect the economic growth in the long term.

This study examines the effect of the broad money supply (M2) on the per capita economic growth in Palestine using time series data from 2000 to 2020. The study uses autoregressive distributed lag model (ARDL), the cointegration approach and the error correction model to investigate the effect of money supply on gross domestic product (GDP) per capita. The model is determined by four macroeconomic variables, namely, gross domestic product (GDP) per capita, broad money supply (M2), gross fixed capital formation (GFCF), and inflation rate (INF). The results show that the money supply, the total capital formation, and the inflation rate have a positive impact on the economic growth in the short run. However, none of these variables affect the economic growth in the long term.