Workplace Stress and Nurses’ Performance of Public Hospitals in Federal Capital Territory, Nigeria (Published)
This study investigates the impact of workplace stress on nurses’ performance in public hospitals within Nigeria’s Federal Capital Territory. It identifies key stressors such as work overload, workplace relationships, role conflict, and role ambiguity, and highlights the need for effective management of these factors to enhance nurse productivity. Using Cooper and Palmer’s work stress model, the study links these stressors to employee performance and organizational consequences. A descriptive survey research design was adopted, with 311 nurses selected via proportionate stratified sampling from a population of 1071. Data was collected using a modified version of Rizzo’s structured questionnaire and analyzed with SPSS version 25. The findings revealed that work overload positively affects productivity (β=0.441, p<0.05), while role conflicts (β=-0.080, p<0.05) and role ambiguity (β=-0.0900, p<0.05) negatively affect performance. Positive workplace relationships were also found to enhance productivity (β =0.044, p<0.05). The study concludes that workplace stress significantly impacts nurses’ performance and recommends regular monitoring of workloads, fostering a positive work environment, and providing feedback opportunities to boost morale and motivation despite role conflicts. Leadership was examined as a moderating variable to gauge its influence on the stress-performance relationship.
Keywords: Federal Capital Territory, Nigeria, Public Hospitals, nurses’ performance, workplace stress
Business Intelligence System Strategies and Organizational Success in Public Hospitals in Rivers State, Nigeria (Published)
This paper examined business intelligence System strategies and organizational success of public hospitals in Rivers State, Nigeria. The objective was to investigate the relationship between data mining, Online Analytical Processing, Querying System, Report System and organizational success of the public hospitals in Rivers State. Primary data were sourced from a sample size of two hundred and thirty four medical personnel. The test for the internal consistency of the instrument was conducted using Pearson Product Moment Correlation Coefficient (r) which yielded a reliability index of 0.89. Mean and standard deviation were used to examine the extent to which business intelligence affect performance; Spearman’s rank order correlation coefficient was used to test the null hypotheses. The findings of this study found data mining, online analytical processing, querying systems and reporting systems significantly relate to the success of public hospitals in Rivers State; there is a significant relationship data mining, online analytical processing, querying systems, reporting systems and quick decision making as well as time saving, significantly moderates relationship between business intelligence systems and organizational success in public hospitals in Rivers State. The study therefore conclude that business intelligence have significant effect on performance of the hospitals. We recommend that federal and state government should overhaul the health services and bring them into the mainstream of business intelligence scheme.
Keywords: Business Intelligence, Organizational Success, Processing, Public Hospitals, Querying System