Client’s Objective: The client aimed to conduct a meta-analysis of studies focusing on variables such as Perceived Organizational Support (POS), Job Satisfaction, Organizational Citizenship Behavior (OCB), and their relationships with Employee Engagement and Burnout.
Challenges: The client faced these challenges:
- Synthesizing data from multiple studies to understand the effect sizes and relationships between key organizational behavior variables.
- Evaluating the reliability and consistency of the studies using metrics like Cronbach’s Alpha.
Solution Provided:
1. Data Collection and Study Selection: We compiled and analyzed a series of studies, each exploring the relationship between key organizational variables. The selected studies covered a broad range of sample sizes, with reliability scores measured by Cronbach’s Alpha to ensure robustness.
2. Key Relationships Analyzed:
- Perceived Organizational Support (POS) → Job Satisfaction: Several studies demonstrated a strong positive relationship between POS and Job Satisfaction, with an average effect size of 0.47. For example, Bull, S. (2008) showed that higher POS leads to increased job satisfaction.
- Organizational Citizenship Behavior (OCB) → Burnout: The analysis also included the relationship between OCB and burnout, with studies showing a moderate effect size (0.35). Brown, L. (2007) highlighted that higher OCB can contribute to burnout if not managed properly.
- Perceived Corporate Fit (PCF) → Employee Engagement and Job Satisfaction: Ahmad, I. (2017) and Ahmad, I. (2018) provided insights into the role of PCF in enhancing employee engagement and job satisfaction, with strong positive correlations (effect sizes of 0.42 and 0.56, respectively).
3. Statistical Analysis:
- Effect Size: The effect sizes (r or β) were extracted from each study to measure the strength of the relationships between variables.
- Sample Size: A wide range of sample sizes were included in the meta-analysis, from 210 to over 500 participants.
- Reliability Scores: Each study’s reliability was assessed using Cronbach’s Alpha, with scores ranging from 0.82 to 0.90, indicating high reliability and consistency in measuring key constructs.
4. Notes and Interpretation:
- The analysis revealed that POS has a consistently strong impact on job satisfaction across different organizational contexts.
- OCB, while generally positive, may have unintended consequences like burnout if not managed within a supportive work environment.
- PCF was found to be a critical driver of both engagement and satisfaction, suggesting that employees’ alignment with organizational values plays a crucial role in their overall job experience.
Outcome: This meta-analysis provided the client with actionable insights into the relationships between various organizational behavior factors. The strong positive correlations observed, along with high reliability scores, helped validate the significance of POS, PCF, and OCB in driving employee outcomes. These findings were used to guide HR strategies and organizational policies.
Tools and Technologies Used:
- Data Analysis: Excel for organizing and calculating effect sizes.
- Reliability Testing: Cronbach’s Alpha to ensure the consistency of measurements across studies.
- Meta-Analysis Techniques: Extracting and comparing effect sizes to draw broader conclusions from multiple studies.
This case study showcases the power of data synthesis in understanding critical organizational behavior relationships, providing key insights into employee engagement and satisfaction.
