Journal of Strategic Management Studies

Journal of Strategic Management Studies

Identification and explanation of a job satisfaction model for enhancing organizational performance through human capital synergy among scientific assistants

Document Type : Research

Authors
Ali Shahdadi 1
Davood Mahdavi 2
1 Associate Professor, Department of Geography, University of Jiroft & Department of Statistical Research and Information Technology, Institute for Research & Planning in Higher education, Tehran, Iran
2 Assistant Professor, Department of Geography Education, Farhangian University, Tehran,
10.22034/smsj.2025.521997.2149
Abstract
Introduction
Organizational performance and productivity are pivotal factors in ensuring the sustainability and resilience of organizations, significantly shaped by the synergy of human capital and employees’ job satisfaction. This matter holds particular significance for the Ministry of Science, Research, and Technology (MSRT), as a public institution tasked with overseeing higher education and cultivating the specialized workforce essential for other organizations across the country. This study was undertaken to address the core question: “What constitutes the job satisfaction model and its influencing factors for enhancing organizational performance through human capital synergy among research assistants employed in universities and institutions affiliated with the MSRT?”
Methodology
The conceptual framework categorizes determinants of job satisfaction into three dimensions:
(a) Job-related factors: Pertaining to the nature, conditions, and characteristics of the role;
(b) Managerial and communication factors: Involving leadership practices and interpersonal dynamics;
(c) Individual factors: Relating to personal attributes and professional aspirations.
Methodological Overview:
This research employs a survey-based methodology, categorized as applied developmental research in line with its objectives. Conducted on a national scale, it encompasses scientific assistants from 124 universities, research institutes, and state-affiliated higher education institutions under the MSRT. Temporally, the study adopts a cross-sectional approach, with data gathered through a researcher-designed questionnaire. The target population includes scientific assistants, irrespective of employment status, employed at MSRT-affiliated institutions. Utilizing a convenience sampling method, the study achieved participation from 1,785 respondents over a one-month period [2023–2024 CE]. Reliability analysis via Cronbach’s alpha confirmed robust validity and reliability for the job satisfaction subscales. The questionnaire, developed in December 1402 SH (2023–2024 CE), draws on established standardized instruments and assesses job satisfaction across five key dimensions: Job conditions, Supervisory relations, Collegial dynamics, Compensation and benefits, Career advancement opportunities
Findings
Analysis of the research findings reveals that job satisfaction among academic assistants, as measured by a standalone question (mean = 2.96, median = 3, mode = 3), stands at a moderate level. However, when evaluated through a composite index of satisfaction with job conditions across multiple dimensions (mean = 2.77, median = 2.75, mode = 1.95), it resides in the moderate-to-low range. An unfavorable pattern emerges in key indicators such as compensation and benefits, reward systems, promotion opportunities, organizational justice, and job autonomy, which contribute most substantially to their job dissatisfaction.
In terms of explanatory modeling for job satisfaction, regression analyses based on the standalone satisfaction measure highlight the following components, ranked in descending order of impact:
1. Job Conditions (indicators: non-repetitive tasks, sense of fulfillment and personal growth, clearly defined responsibilities, occupational prestige, meaningfulness of work, job autonomy)
2. Perceived Pay Justice (indicators: fair compensation relative to effort, equitable benefits, equitable facilities compared to peer institutions)
3. Work-Family Conflict
4. Promotion System (indicators: merit-based promotions, clearly defined career progression pathways, availability of advancement opportunities)
5. Job-Person Fit (alignment with knowledge, experience, and skills)
Furthermore, path analysis grounded in the composite satisfaction index identifies the following variables as exerting the most significant influence on academic assistants' job satisfaction (in order of predictive strength):
· "Colleagues' sense of responsibility in collaborative tasks"
· "Receptiveness to feedback from university/institutional leadership"
· "Availability of equitable promotion opportunities"
· "Immediate supervisor's advocacy for employee rights"
· "Quality of work-related interaction with immediate supervisor"
· "Maintenance of employee dignity in administering benefits/welfare"
· "Oversight and control of operations by university/institutional leadership"
· "Workplace safety and health standards"
· "Adequacy of resources/equipment for role fulfillment"
· "Meaningfulness of work and sense of fulfillment"
· "Institutional support in resolving administrative challenges"
These determinants warrant critical consideration in developing effective organizational performance enhancement models that leverage human capital synergy among academic assistants within the MSRT and its affiliated universities/institutions.
Results and Discussion
Drawing on empirical research findings and theoretical frameworks, enhancing job satisfaction among scientific assistants in universities and institutions affiliated with the Ministry of Science, Research, and Technology requires the adoption of innovative and proactive strategies. While addressing factors of dissatisfaction is crucial, such efforts alone are insufficient to cultivate genuine satisfaction. The data reveal that scientific assistants experience moderate overall job satisfaction, with the lowest levels stemming from limited promotion opportunities and inadequate compensation structures, including salaries and benefits. To tackle these systemic challenges, the following evidence-based policy recommendations are proposed:
1. Job Design and Role Clarity
• Role Diversification: Broaden organizational activities to clearly define and enhance the scope of scientific assistants’ roles, ensuring their contributions are visible throughout the entire workflow and in final outcomes.
• Role Significance: Highlight the meaningful impact of scientific assistants’ work on departmental operations or external stakeholders, thereby reinforcing the value and importance of their contributions.
• Autonomy Enhancement: Promote greater independence by empowering scientific assistants in task planning, decision-making processes, and workload management.
2. Equitable Career and Compensation Systems
· Transparent Promotion Criteria: Develop merit-based advancement frameworks aligned with measurable performance indicators.
· Competitive Compensation Reforms: Revise salary structures and bonus systems to reflect qualifications, experience, and responsibilities, ensuring parity with institutional and sectoral standards.
3. Work-Life Integration and Skill-Based Allocation
· Work-Life Balance Policies: Minimize role-related stressors that encroach on personal/family obligations through flexible scheduling or remote work options.
· Competency-Driven Task Distribution: Allocate responsibilities based on expertise, experience, and skill sets to optimize engagement and productivity.
4. Institutional Process Optimization
· Managerial Appointment Reforms: Address inefficiencies in leadership selection processes to ensure alignment with organizational goals.
· Administrative Streamlining: Revise outdated systems governing leave policies, to reduce bureaucratic burdens.
These measures collectively aim to cultivate a supportive professional ecosystem that prioritizes equity, recognition, and growth, thereby elevating job satisfaction and institutional efficacy.
Keywords
Job satisfaction
Human capital synergy
Organizational performance-scientific
Reduce work-family conflict
Subjects
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Journal of Strategic Management Studies
Volume 17, Issue 65
Winter 2026
Pages 255-275

  • Receive Date 07 May 2025
  • Revise Date 12 July 2025
  • Accept Date 11 September 2025