https://dspace.qou.edu/handle/194/2476 Tue, 16 Dec 2025 22:52:34 GMT 2025-12-16T22:52:34Z https://dspace.qou.edu/handle/194/2994 Title: The Impact of Work Stress on Organizational Silence in Palestinian Higher Education Institutions: The Mediating Role of Quality of Work Life Authors: Salah, Bara’a Suleiman Ismail; Ghanem, Prof. Fathallah Abstract: This study aimed to examine the relationship between work stress and organizational silence in the presence of quality of work life as a mediating variable in Palestinian higher education institutions. The researcher adopted the descriptive-analytical approach. The study population consisted of all faculty members in universities located in the southern West Bank (Bethlehem and Hebron), totaling 832 members distributed across eight universities. The sample size was determined to be 263 individuals according to Stephen Thompson’s formula; however, the actual number of responses reached 287, yielding a response rate of 109%. The questionnaire was distributed using the simple random sampling method, and data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 26 and Smart PLS version 3. The results of the path analysis revealed a statistically significant partial indirect effect of work stress on organizational silence through quality of work life as a mediating variable at the significance level (α ≤ 0.05). The p-value for the total indirect effect was (0.004) with a T-value of (2.895). Among the dimensions of work stress, "role conflict" had the strongest effect, with a p-value of (0.000) and a T-value of (3.704), indicating that role conflict significantly contributes to the deterioration of quality of work life, which in turn leads to increased organizational silence. In light of these findings, the researcher recommends that university administrations in the southern West Bank work to reduce "role conflict" by minimizing task overlap and clarifying job roles, in order to enhance the quality of work life and reduce organizational silence among faculty members. Mon, 08 Sep 2025 00:00:00 GMT https://dspace.qou.edu/handle/194/2994 2025-09-08T00:00:00Z https://dspace.qou.edu/handle/194/2993 Title: The Effectiveness Of Using Artificial Intelligence Applications In Management In Industrial Companies In The Southern Governorates Of The Western Region "A Field Study" Abstract: This study aimed to examine the impact of using artificial intelligence (AI) applications on enhancing strategic management performance in industrial companies in the southern governorates of the West Bank. The researcher adopted the descriptive-analytical method and relied primarily on a questionnaire distributed to the study population of 135 administrative employees, of which 126 valid responses were retrieved (a recovery rate of 92.3%), in addition to conducting interviews with some administrative staff. Data were analyzed using the SPSS program. The findings revealed that the level of AI applications utilization was high, with a relative weight of 75.49%, where predictive analytics ranked first, followed by data analysis platforms, automation tools, decision support systems, and finally machine learning algorithms. The results also indicated that the level of improvement in strategic management performance was high (75.44%), with decision-making enhancement ranking first, followed by operational efficiency and productivity, customer satisfaction and engagement, market competitiveness, innovation, and lastly financial performance. The study further identified major challenges hindering AI integration in these companies, including weak technological infrastructure, shortage of qualified personnel and training, high investment costs, and limited strategic awareness among management, which explains the limited strategic impact of some applications despite their widespread use. Hypothesis testing showed a significant effect of machine learning algorithms and decision support systems on strategic management performance, while predictive analytics and other tools showed no significant impact. Moreover, significant differences were found in favor of employees with 6–10 years of experience, bachelor’s degree holders, and those who had attended training programs, while no substantial differences were recorded based on gender or specialization, except in some dimensions. Based on these findings, the study recommended building human capacities through specialized training programs in AI applications and shifting their use from an operational to a strategic level, developing digital infrastructure and adopting integrated data analysis systems, and applying automation selectively in cost- or time-intensive areas. It further recommended enhancing integration between different tools, supporting decision-making through advanced AI tools capable of simulating business scenarios and forecasting risks, addressing financial challenges through partnerships with universities and business incubators, improving resource allocation using smart analytics, strengthening customer satisfaction by leveraging AI to understand customer behavior and design responsive innovation strategies, and adopting internal policies that foster a culture of innovation and reduce employee resistance by involving them in digital transformation initiatives and clarifying long-term benefits. Tue, 05 Aug 2025 00:00:00 GMT https://dspace.qou.edu/handle/194/2993 2025-08-05T00:00:00Z https://dspace.qou.edu/handle/194/2992 Title: Social Stresses and their relationship with inner peace among a sample of Palestinian police officers and a proposed conception from the Perspective of the Cognitive Professional Intervention Model to deal with it Authors: Al‑Aajiz, Mohammad Nabil Sobhi; Al-Assouli, Prof. Atef Hosni Abstract: The study aimed to examine social Stresses and their relationship with inner peace among a sample of Palestinian police officers, and to propose a conceptual framework from the perspective of the Cognitive Professional Intervention Model to address these Stresses. The descriptive methodology was employed using a questionnaire as the research instrument. The study population consisted of all Palestinian police officers in the West Bank, totaling (5,489) officers, according to the statistics issued by the Police Directorate in 2024. A convenient sample of (375) officers was selected from this population. The study yielded several findings, most notably that the level of social Stresses among Palestinian police officers in the West Bank governorates was at a moderate level, whereas the level of inner peace among them was high. Based on these results, a proposed conceptual framework was developed, grounded in the Cognitive Professional Intervention Model, with the aim of understanding the nature of social Stresses experienced by Palestinian police officers and identifying ways to enhance their inner peace. To operationalize this proposed framework, the recommendations were integrated into practical, applicable mechanisms within the work environment, including: implementing awareness programs within the police apparatus that focus on reducing social stigma by fostering a societal understanding of the police role and its positive reflection on security and safety; and strengthening time management policies to support police officers by enabling them to spend sufficient time with their families through the adoption of flexible work schedules and regular short breaks. Sat, 30 Aug 2025 00:00:00 GMT https://dspace.qou.edu/handle/194/2992 2025-08-30T00:00:00Z https://dspace.qou.edu/handle/194/2991 Title: The Impact of Employing Artificial Intelligence Technologies on the Efficiency of Accounting Systems in the Banking Sector in Palestine Abstract: The study aimed to identify the impact of employing artificial intelligence technologies in its dimensions (expert systems, knowledge representation and inference, machine learning) on the efficiency of accounting systems in the banking sector in Palestine. The researcher adopted the descriptive-analytical method and designed a questionnaire as a research tool consisting of a set of questions intended to collect information from respondents after reviewing the relevant literature. The study population consisted of managers and employees in the Information Technology departments of local commercial banks in Palestine, totaling (7) banks. A total of (102) questionnaires were distributed, all of which were retrieved. After excluding (7) invalid questionnaires, the final sample amounted to (95) valid questionnaires, representing (93%) of the distributed ones. Several statistical analyses were conducted using the Statistical Package for the Social Sciences (SPSS) The study population consisted of managers and employees of the Information Technology departments in local commercial banks in Palestine, with a total of (7) banks and (122) employees. A total of (102) questionnaires were distributed, (122) questionnaires were retrieved, and (7) questionnaires were excluded, bringing the final number to (95) valid questionnaires for analysis, representing (77.8%). A set of statistical treatments was calculated using the SPSS statistical analysis program. The study reached a set of results, the most prominent of which were: The level of application of artificial intelligence in the Palestinian banking sector was high, reaching (81.2%). The results also showed that the most used dimension of artificial intelligence was "knowledge representation and reasoning" with a percentage of (82.2%), followed by "machine learning" with (81%), then "expert systems" with (80.8%). As for the efficiency of accounting systems, the overall average reached (80.6%), with a clear superiority in the dimensions of system integration and the quality of report presentation, each with a rate of (81.4%). Finally, the results of the regression analysis showed a positive and significant impact of artificial intelligence in its three dimensions on the efficiency of accounting systems, where the study model explained (55.6%) of the variance in efficiency, which confirms the importance of integrating artificial intelligence technologies in accounting work to improve performance and operational accuracy. The researcher recommends a number of recommendations aimed at enhancing the efficiency of accounting systems and expanding the scope of using artificial intelligence in the Palestinian banking sector. Among the most prominent of these recommendations: enhancing the use of artificial intelligence systems in developing solutions to banking problems, as the results showed a high awareness of their role in supporting decision-making and improving administrative performance. In addition to expanding the scope of applying these systems in processing accounting events in order to raise processing efficiency and reduce human errors. It is also recommended to invest in developing the capabilities of expert systems to support strategic planning processes and assist senior management in decision-making. It is also important to benefit from symbolic knowledge representation such as graphs and semantic networks to improve the clarity of financial data and facilitate its analysis, in addition to enhancing fast and efficient storage mechanisms of accounting knowledge within databases to achieve operational efficiency. Mon, 18 Aug 2025 00:00:00 GMT https://dspace.qou.edu/handle/194/2991 2025-08-18T00:00:00Z