Validation of the Cognitive Factors–Based Smart Health-Oriented Product–Service System Model of the Social Security Organization

Authors

    Ali Saei Ph.D. student, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
    Mohammad Hossein Karimi Gavareshki * Associate Professor, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran mh_karimi@mut.ac.ir
    Reza Hosnavi Atashgah Professor, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
    Hassan Torabi Assistant Professor, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
    Mohammad Reza Zahedi Associate Professor, Department of Industrial Engineering, Faculty of Management and Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
https://doi.org/10.61838/xvb0cr29

Keywords:

Smart product–service system, elderly, insurance system, cognitive factors, structural equation modeling

Abstract

Purpose: The purpose of the present study is to validate the designed model of the smart health-oriented product–service system of the Social Security Organization based on cognitive factors.

Methodology: This research was conducted using a mixed-methods approach. In the qualitative section, content analysis of previous studies and semi-structured interviews with 12 managers and experts in the fields of health and information technology were carried out. The qualitative data were analyzed using the thematic analysis method. In the quantitative section, 120 employees of the Social Security Organization were selected through stratified random sampling, and they completed a researcher-made questionnaire. The reliability of the questionnaire was confirmed using Cronbach’s alpha (0.92), and the data were analyzed with SPSS and SmartPLS software at both descriptive and inferential levels.

Findings: The findings indicated that the smart health-oriented product–service system consists of four main dimensions: business model, software (cloud) platform, cognitive and biological factors, and physical platform. Confirmatory factor analysis confirmed factor loadings higher than 0.50 for all indicators. Correlation coefficients among the dimensions indicated positive and significant relationships. The results of the significance test (t > 1.96, p < 0.05) confirmed the study hypotheses. The GOF index was reported as 0.70, indicating a strong model fit.

Conclusion: The results of the study showed that alignment among the four dimensions of the model is essential for the effective design and implementation of the health-oriented product–service system. This model can enhance the quality of health services, improve the experience of the elderly, increase satisfaction, and reduce healthcare costs in social security organizations.

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Published

2025-09-16

Submitted

2025-03-20

Revised

2025-06-12

Accepted

2025-06-20

Issue

Section

Articles

How to Cite

Saei , A. ., Karimi Gavareshki, M. H., Hosnavi Atashgah , R. ., Torabi , H. ., & Zahedi, M. R. . (2025). Validation of the Cognitive Factors–Based Smart Health-Oriented Product–Service System Model of the Social Security Organization. Iranian Journal of Educational Sociology, 1-14. https://doi.org/10.61838/xvb0cr29

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