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Volume 14, Issue 2 (Iranian Journal of Ergonomics-In Press 2026)
Iran J Ergon 2026, 14(2): 0-0 |
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Ethics code: IR.PNU.REC.1403.752
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Tahmasbipour F, Omidi N. Designing a Structural Model of Human Cognitive Interaction and Emerging Information Technologies for Enhancing Organizational Digital Agility: A Human Factors Engineering Approach. Iran J Ergon 2026; 14 (2)
URL: http://journal.iehfs.ir/article-1-1151-en.html
URL: http://journal.iehfs.ir/article-1-1151-en.html
1- Department of Information Technology Engineering, Islamic Azad University, Tehran, Iran
2- Department of Management, Payame Noor University, Tehran, Iran ,nabiomidi@gmail.com
2- Department of Management, Payame Noor University, Tehran, Iran ,
Abstract: (33 Views)
Background and Objective: Digital agility has become a critical capability for modern organizations and requires effective interaction between humans and emerging information technologies. Despite substantial investments in advanced digital technologies, insufficient attention to cognitive and human factors may reduce the effectiveness of digital transformation initiatives. This study aimed to develop a structural model of human cognitive interaction with emerging information technologies to enhance organizational digital agility from a human factor engineering perspective.
Methods: A mixed-methods approach with an exploratory sequential design was employed. In the qualitative phase, 16 experts in human factors engineering, cognitive science, information technology, and digital transformation were selected through purposive sampling and engaged in semi-structured interviews. The data were analyzed through thematic analysis. In the quantitative phase, the conceptual model was tested using a researcher-developed questionnaire administered to a sample of 378 participants, including managers and employees of Digikala Company. Data were analyzed using Structural Equation Modeling (SEM) in LISREL software.
Results: The qualitative findings identified 5 main themes and 26 sub-themes. Quantitative results indicated that the proposed model demonstrated satisfactory fit indices (χ²/df=2.36, GFI=0.92, CFI=0.95, RMSEA=0.060, and SRMR=0.055). All dimensions of the model had positive and significant effects on organizational digital agility. Among them, organizational enablers showed the strongest effect (β=0.46).
Conclusion: The findings revealed that digital agility emerges from the integration of users’ cognitive capabilities, advanced information technologies, human factors, and organizational infrastructures. The proposed model provides a practical framework for enhancing digital agility and improving the success of digital transformation initiatives in organizations .
Methods: A mixed-methods approach with an exploratory sequential design was employed. In the qualitative phase, 16 experts in human factors engineering, cognitive science, information technology, and digital transformation were selected through purposive sampling and engaged in semi-structured interviews. The data were analyzed through thematic analysis. In the quantitative phase, the conceptual model was tested using a researcher-developed questionnaire administered to a sample of 378 participants, including managers and employees of Digikala Company. Data were analyzed using Structural Equation Modeling (SEM) in LISREL software.
Results: The qualitative findings identified 5 main themes and 26 sub-themes. Quantitative results indicated that the proposed model demonstrated satisfactory fit indices (χ²/df=2.36, GFI=0.92, CFI=0.95, RMSEA=0.060, and SRMR=0.055). All dimensions of the model had positive and significant effects on organizational digital agility. Among them, organizational enablers showed the strongest effect (β=0.46).
Conclusion: The findings revealed that digital agility emerges from the integration of users’ cognitive capabilities, advanced information technologies, human factors, and organizational infrastructures. The proposed model provides a practical framework for enhancing digital agility and improving the success of digital transformation initiatives in organizations .
Keywords: Digital Agility, Human Factors Engineering, Human–Technology Cognitive Interaction, Digital Transformation, Cognitive Ergonomics.
Type of Study: Research |
Subject:
Cognitive Ergonomics
Received: 2026/06/3 | Accepted: 2026/06/22 | ePublished: 2026/06/22
Received: 2026/06/3 | Accepted: 2026/06/22 | ePublished: 2026/06/22
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
