<span lang="EN">Identifying Variables Affecting Employee Job Satisfaction and Presenting a Model Using the Meta-Synthesis Method
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 78
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شناسه ملی سند علمی:
JR_JMSMO-2-3_002
تاریخ نمایه سازی: 17 مهر 1405
چکیده مقاله:
Objective: Job satisfaction is one of the most critical variables in organizational behavior research, and its accurate measurement requires the identification of influential independent variables. Given generational shifts and evolving lifestyle patterns, identifying the factors affecting employee job satisfaction appears essential. The present study aimed to identify the variables influencing employee satisfaction and to propose a comprehensive model using the meta-synthesis method.Methodology: This qualitative research was conducted using the seven-step meta-synthesis approach developed by Sandelowski and Barroso (۲۰۰۶). The research population included published articles on factors affecting job satisfaction within the time frame of ۲۰۱۱–۲۰۲۳ (for English sources) and ۱۳۹۰–۱۴۰۲ (for Persian sources). Following a systematic search in reputable databases, ۴۸۰ sources were identified. After screening based on title, abstract, full content, and methodological quality assessment using Glynn's (۲۰۰۶) tool, ۹۷ articles were selected for final analysis. Data analysis was performed using thematic analysis and coding, with inter-coder reliability calculated at ۸۴%.Findings: A total of ۲ main factors, ۱۳ indicators, and ۴۲ sub-indicators were identified. External factors include management and planning, supervision and leadership, salary and benefits, intra- and inter-departmental communication, infrastructures, job security, and stakeholders. Internal factors include nature of work, individual characteristics, job competency, appreciation and respect, autonomy and freedom in task performance, and psychological well-being. The final model was presented with a focus on newly hired employees.Conclusion: The proposed model provides a comprehensive framework for policymakers and human resource managers to identify weaknesses and improve employee job satisfaction. Future research is recommended to validate the model using quantitative approaches.
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نویسندگان
Samiullah Amoz
Ph.D. candidate in New Business Management, University of Tehran, Iran.
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