Proposing a Model for Designing Smart Health-Oriented Products and Services for the Elderly Based on Cognitive Factors

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 Hossanavi 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

Keywords:

Smart Product-Service System, Elderly, Insurance System, Cognitive Factors, Thematic Analysis

Abstract

Purpose: This study aimed to design and validate a cognitive-based smart health-oriented product–service system (PSS) model tailored for elderly care in social security organizations.

Methods and Materials: A qualitative exploratory approach was employed to identify and structure the key dimensions, components, and indicators of the proposed model. Data were collected through semi-structured interviews with 12 experts, including managers, health technology specialists, university faculty, and policymakers in the field of elderly care. Thematic analysis was applied to the transcribed interview data using a two-level coding process—textual and conceptual. The final model was synthesized through iterative categorization and expert consensus validation, comprising both functional system elements and a quality evaluation framework.

Findings: The results identified four core dimensions of the smart PSS: (1) business model, (2) software (cloud) platform, (3) cognitive–biological factors, and (4) physical platform. Each dimension consists of multiple components (totaling 16) and operational parameters (61 indicators). Additionally, a multidimensional quality assessment framework was developed with four evaluation constructs: outcome quality, interaction quality, system quality, and stakeholder satisfaction. The model emphasizes user-centricity, real-time personalization, integration of digital infrastructure, and AI-driven monitoring. Elderly users were positioned as co-creators of value, with service adaptation based on continuous feedback and emotional-cognitive profiling. The model integrates both physical and cyber infrastructure to support comprehensive care delivery.

Conclusion: The proposed smart health-oriented PSS model offers a comprehensive, adaptable, and intelligent framework for improving elderly care services in social security contexts. 

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Published

2026-03-20

Submitted

2025-03-01

Revised

2025-05-03

Accepted

2025-06-03

Issue

Section

Articles

How to Cite

Saei, A. . ., Karimi Gavareshki, M. H., Hossanavi Atashgah , R. ., Torabi, H. . ., & Zahedi, M. R. . (2026). Proposing a Model for Designing Smart Health-Oriented Products and Services for the Elderly Based on Cognitive Factors. International Journal of Education and Cognitive Sciences, 1-13. https://www.journalecs.com/index.php/ecs/article/view/220

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