Diplomarbeit, 2010
27 Seiten, Note: A
1. Introduction
2. Need for the study
3. Objectives of the study
4. Research methodology
5. Data analysis - factor analysis
5.1 Non monetary factor
5.2 Monetary factors
5.3 Growth and development
5.4 Inter departmental communication
6. Conclusion
7. Limitations & Future scope
8. Recommendations
9. Questions for Discussions
10. Teaching Note
10.1 Overview
10.2 Application
10.3 Objectives of the Case
10.4 Teaching Suggestions
The primary aim of this study is to examine the underlying drivers of employee satisfaction and the factors contributing to employee attrition within the Nuclear Fuel Complex (NFC), utilizing quantitative methods to provide actionable insights for organizational retention strategies.
1. Non monetary factor
The factor which emerged as the most important factor in the factor analysis is named as Non monetary factor. This factor includes maximum number of items’ loading which are associated with non monetary aspect of job such as Mismatch between job requirement and individual personality, Lack of appreciation and recognition, Stressful nature of job etc. Majority of the respondents felt that non monetary factors are very important in explaining employee satisfaction levels and reasons for attrition. The total variance explained by this set of factor is 33.028 % and the factor is highly reliable as the value of Cronbach’s alpha is 0.92.
Introduction: This chapter highlights the challenges of globalization in managing organizations, focusing on the critical importance of employee retention and the impact of attrition on business success.
Need for the study: This section justifies the research by emphasizing that satisfied employees are vital for organizational productivity, especially in high-stakes environments like scientific and defense organizations.
Objectives of the study: This chapter outlines the main goal of exploring the inverse relationship between employee satisfaction and attrition using both explicit and implicit metrics.
Research methodology: This chapter describes the quantitative approach using primary data collected from 98 employees via a structured 25-statement questionnaire and factor analysis.
Data analysis - factor analysis: This chapter presents the statistical results, categorizing factors into non-monetary, monetary, growth, and communication-based drivers of satisfaction.
Conclusion: This chapter synthesizes the findings, confirming that non-monetary aspects significantly outweigh compensation in driving employee attrition, aligning with broader research on disengagement.
Limitations & Future scope: This chapter acknowledges constraints such as the small, organization-specific sample size and suggests opportunities for broader industry-wide research.
Recommendations: This chapter offers practical solutions ranging from job enrichment and improved communication to competitive pay packages to boost retention.
Questions for Discussions: This chapter provides analytical prompts regarding the application and limitations of factor analysis in management research.
Teaching Note: This chapter serves as a pedagogical guide, offering an overview, objectives, and application suggestions for management students.
Employee Satisfaction, Employee Attrition, Factor Analysis, Human Resources, Retention, Compensation, Organizational Productivity, Job Enrichment, Work Stress, Quantitative Investigation, Management Strategy, Employee Loyalty, Performance Appraisal, Workplace Ambience, Talent Management
The research investigates the factors influencing employee satisfaction and the underlying causes of employee attrition, specifically within the context of the Nuclear Fuel Complex (NFC).
The core themes include job satisfaction metrics, factors affecting attrition (monetary and non-monetary), and organizational strategies for improving staff retention.
The study aims to understand the explicit and implicit drivers of employee satisfaction and to identify the specific reasons why employees choose to leave an organization.
The study utilizes a quantitative research design based on primary data, employing convenience sampling and principal component factor analysis with varimax rotation using SPSS 16.0.
The main body details the methodology, presents statistical data analysis (KMO test, rotated component matrix), and discusses the findings regarding non-monetary and monetary factors affecting turnover.
Key terms include employee satisfaction, employee attrition, factor analysis, organizational retention, human resources management, and performance appraisal.
Factor analysis revealed that variables such as lack of appreciation, role mismatch, and job stress accounted for the highest variance (33.028%) in the model, indicating they are the primary drivers of dissatisfaction.
As a specialized nuclear facility, the findings reflect the unique needs of a knowledge-based workforce, emphasizing the necessity for training, career growth, and clear communication within a highly technical environment.
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