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- Vol. 5 Issue 2
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Impact of District Reorganization on Administrative Efficiency: A Socio-Demographic Analysis in Telangana
Authors
1Ph.D. Scholar, Department of Public Administration, Osmania University, Hyderabad, Telangana, India. 2Professor, Ex Chairman, Telangana State Council Higher Education, Department of public administration, Osmania University, Hyderabad, Telangana, India.
Article Information
- Published In
- Volume 5, Issue 2 (2025)
- Published Online
- March-April 2025
- Pages
- 17-21
- Article Type
- Original Article
Abstract
View PDFThis study investigates the impact of departmental reorganization on administrative efficiency, examining variations across age, gender, and years of experience using chi-square analysis. Data were collected from 44 employees in a single department, with responses categorized as Disagree, Neutral, Agree, or Strongly Agree to the question, "Has reorganization improved administrative efficiency in your department?" Results revealed significant associations (p < .001) between administrative efficiency perceptions and all three variables. Younger employees (18-30 years) unanimously agreed or strongly agreed with improved efficiency, while those over 40 predominantly disagreed. Gender differences were stark: males largely disagreed (14/22), while females mostly agreed or strongly agreed (21/22). For years of experience, employees with 1-10 years disagreed or were neutral, while those with over 20 years leaned toward agreement. The chi-square values (75.398 for age, 36.767 for gender, 46.953 for years of experience, all df = 6 or 3, p = .000) indicate strong statistical significance, suggesting that reorganization effects are not uniform across demographic groups. These findings highlight the need for tailored reorganization strategies to address diverse employee perspectives. The study contributes to organizational research by linking demographic factors to administrative efficiency outcomes, offering practical implications for departmental restructuring. Limitations include the small sample size and single-department focus, warranting broader future research. Keywords: administrative efficiency, reorganization, chi-square analysis, age, gender, years of experience.
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