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Predictors of e-Nabız acceptance among physicians: an integration of UTAUT, trust, and privacy factors

Dilek Şahin (Department of Health Management, Duzce Universitesi, Duzce, Turkey)
Mehmet Nurullah Kurutkan (Department of Health Management, Duzce Universitesi, Duzce, Turkey)
Tuba Arslan (Vocational School of Health Services, Kilis 7 Aralık Üniversitesi, Kilis, Turkey)

Journal of Science and Technology Policy Management

ISSN: 2053-4620

Article publication date: 26 March 2024




Today, e-government (electronic government) applications have extended to the frontiers of health-care delivery. E-Nabız contains personal health records of health services received, whether public or private. The use of the application by patients and physicians has provided efficiency and cost advantages. The success of e-Nabız depends on the level of technology acceptance of health-care service providers and recipients. While there is a large research literature on the technology acceptance of service recipients in health-care services, there is a limited number of studies on physicians providing services. This study aims to determine the level of influence of trust and privacy variables in addition to performance expectancy, effort expectancy, social influence and facilitating factors in the unified theory of acceptance and use of technology (UTAUT) model on the intention and behavior of using e-Nabız application.


The population of the study consisted of general practitioners and specialist physicians actively working in any health facility in Turkey. Data were collected cross-sectionally from 236 physicians on a voluntary basis through a questionnaire. The response rate of data collection was calculated as 47.20%. Data were collected cross-sectionally from 236 physicians through a questionnaire. Descriptive statistics, correlation analysis and structural equation modeling were used to analyze the data.


The study found that performance expectancy, effort expectancy, trust and perceived privacy had a significant effect on physicians’ behavioral intentions to adopt the e-Nabız system. In addition, facilitating conditions and behavioral intention were determinants of usage behavior (p < 0.05). However, no significant relationship was found between social influence and behavioral intention (p > 0.05).


This study confirms that the UTAUT model provides an appropriate framework for predicting factors influencing physicians’ behaviors and intention to use e-Nabız. In addition, the empirical findings show that trust and perceived privacy, which are additionally considered in the model, are also influential.



Conflicts of interest: None declared.

Funding: None. This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Data availability: Data will be made available on request.

Credit author statement: Dilek Şahin, conceptualization, literature review, methodology definition, discussion and conclusions and writing; Mehmet Nurullah Kurutkan, calculations, analysis of results and discussion; Tuba Arslan, field data collection, writing revision.


Şahin, D., Kurutkan, M.N. and Arslan, T. (2024), "Predictors of e-Nabız acceptance among physicians: an integration of UTAUT, trust, and privacy factors", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print.



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