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Title: Impact of Demographics on Change Management and Employees’ Performance in Public Hospitals
Authors: Muhammad Yaqoob Khan, Yeo Sook Fern, Nisar Khan
Journal: Research Mosaic
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Social Sciences
Country: Pakistan
Year: 2022
Volume: 2
Issue: 2
Language: English
Keywords: DemographicsEmployee PerformanceNurses Organizational Change
The main objective of this research is to analyze the impacts of organizational changes towards employee’s performance in health sector nurses working in public hospitals of District D. I. Khan. Communication, leadership, procedural fairness, employee development, and tolerance to change are some of the factors that is covered. The hypotheses in this study were developed with the help of earlier studies. This research base on conclusive research design, consisting of causal and descriptive in nature. This research followed survey approach. Adopted questionnaire was distributed through convenient sample to 130 employees. A sample of 98 useable questionnaires were received providing response rate of 75%. The population of this research was Nurses working in public hospital of District D. I. Khan. The approximately strength of total nurses working in public hospitals of D. I. Khan were 700 in which 130 were selected as a sample. As a result, there was no significant mean difference were found in impact of demographic on research variables.
To analyze the impacts of organizational changes on employee performance in public hospitals, specifically examining the influence of demographic factors on change management and employee performance.
This research employed a conclusive research design, combining causal and descriptive elements, using a survey approach. A questionnaire was distributed to 130 nurses in public hospitals in District D.I. Khan, with 98 usable responses received (75% response rate). SPSS was used for data analysis. Reliability of the questionnaire items was tested using Cronbach's Alpha. T-tests and F-tests were used to analyze mean differences between demographic groups (marital status, length of service, qualification) and research variables.
graph TD;
A["Define Research Objective"] --> B["Develop Hypotheses"];
B --> C["Design Survey Questionnaire"];
C --> D["Distribute Questionnaire to Nurses"];
D --> E["Collect Usable Responses"];
E --> F["Data Analysis using SPSS"];
F --> G["Conduct T-tests and F-tests"];
G --> H["Interpret Results"];
H --> I["Draw Conclusions and Recommendations"];
The study found that demographic characteristics such as marital status, length of service, and qualification did not significantly influence nurses' perceptions of change management attributes or their performance in public hospitals. This suggests that these demographic factors do not play a substantial role in how nurses respond to organizational change or how it affects their performance in the studied context. The findings align with some previous studies but contradict others regarding the influence of length of service.
There was no significant mean difference found in the impact of demographic factors (marital status, length of service, and qualification) on the research variables, which included communication, leadership, employee development, procedural justice, tolerance to change, and employee performance.
The research concludes that demographic factors, specifically marital status, length of service, and qualification, do not have a significant impact on employee performance in the context of change management within public hospitals in Dera Ismail Khan. The study implies that other factors not examined might be more influential.
1. Response Rate: The study reports a response rate of 75% from the distributed questionnaires. (Confirmed: 98 usable questionnaires out of 130 distributed).
2. Sample Size: The study aimed to survey 130 employees, and 98 usable responses were obtained. (Confirmed: 98 usable responses).
3. Statistical Tests: T-tests and F-tests were used to analyze demographic differences. (Confirmed: Mentioned in Methodology and Data Analysis sections).
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