Volume 23, Issue 4 (2-2025)
jhosp 2025, 23(4): 435-449 |
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Hosseini M, Norouzzadeh A, Hosseini F. Investigating Behavioral Barriers to the Adoption of Digital Technologies in Healthcare. jhosp 2025; 23 (4) :435-449
URL: http://jhosp.tums.ac.ir/article-1-6737-en.html
URL: http://jhosp.tums.ac.ir/article-1-6737-en.html
1- Associate Professor, Department of Management, Ge.C., Islamic Azad University, Germi, Iran. *Corresponding Author Email: m.hosseini19@ Gmail.com
2- Associate Professor, Department of Management, Ge.C., Islamic Azad University, Germi, Iran.
3- Educator, Elementary Education Department, General Directorate of Education, Ardabil, Iran.
2- Associate Professor, Department of Management, Ge.C., Islamic Azad University, Germi, Iran.
3- Educator, Elementary Education Department, General Directorate of Education, Ardabil, Iran.
Abstract: (1037 Views)
Background and purpose: The integration of digital technologies—computer-based systems, devices, and methods—is transforming organizational activities within the healthcare sector. However, research on the adoption of these technologies in healthcare remains limited, with a predominant focus on structural rather than behavioral factors. As the successful implementation of technology ultimately depends on the workforce, behavioral aspects play a decisive role. Therefore, this study aims to identify the principal behavioral barriers to the adoption of digital technologies in the healthcare sector.
Methods: This applied research utilized a three-stage survey methodology. The stages included: (1) identifying the most significant behavioral barriers to digital technology adoption through a literature review and expert opinions; (2) developing a hierarchical model of these barriers using Interpretive Structural Modeling (ISM); and (3) testing the hypotheses derived from the model with a sample of 302 healthcare professionals.
Results: The ISM model identified a hierarchy of six key behavioral barriers: lack of digital literacy, low perceived value, high perceived risk, negative attitude, resistance to change, and ultimately, non-adoption of digital technology. Based on this model, six research hypotheses were formulated. Regression analysis was conducted to test these hypotheses, and the results indicated that all six were statistically supported.
Conclusion: The findings establish that a lack of digital literacy is the most fundamental barrier to digital technology adoption in the healthcare sector. To address this primary obstacle, the study recommends targeted interventions, such as conducting national assessments of digital literacy levels among healthcare staff and implementing tailored training programs to enhance their technological competencies.
Methods: This applied research utilized a three-stage survey methodology. The stages included: (1) identifying the most significant behavioral barriers to digital technology adoption through a literature review and expert opinions; (2) developing a hierarchical model of these barriers using Interpretive Structural Modeling (ISM); and (3) testing the hypotheses derived from the model with a sample of 302 healthcare professionals.
Results: The ISM model identified a hierarchy of six key behavioral barriers: lack of digital literacy, low perceived value, high perceived risk, negative attitude, resistance to change, and ultimately, non-adoption of digital technology. Based on this model, six research hypotheses were formulated. Regression analysis was conducted to test these hypotheses, and the results indicated that all six were statistically supported.
Conclusion: The findings establish that a lack of digital literacy is the most fundamental barrier to digital technology adoption in the healthcare sector. To address this primary obstacle, the study recommends targeted interventions, such as conducting national assessments of digital literacy levels among healthcare staff and implementing tailored training programs to enhance their technological competencies.
Keywords: Behavioral Barriers, Digital Technology, Healthcare, Technology Adoption, Interpretive Structural Modeling (ISM)
Type of Study: Original Article |
Subject:
سیاست گذاری ، برنامه ریزی و رهبری و مدیریت در بیمارستان
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