医生接受电子纳贝斯的预测因素:UTAUT、信任和隐私因素的整合

Dilek Şahin, M. N. Kurutkan, Tuba Arslan
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摘要

目的如今,电子政务(电子政府)的应用已扩展到医疗保健服务的前沿。E-Nabız 包含个人接受公共或私人医疗服务的健康记录。病人和医生使用该应用程序带来了效率和成本优势。e-Nabız 的成功取决于医疗服务提供者和接受者对技术的接受程度。虽然有大量研究文献涉及医疗服务接受者对技术的接受程度,但针对提供服务的医生的研究数量有限。本研究旨在确定信任和隐私变量以及技术接受和使用统一理论(UTAUT)模型中的绩效预期、努力预期、社会影响和促进因素对使用 e-Nabız 应用程序的意向和行为的影响程度。在自愿的基础上,通过问卷对 236 名医生进行了横向数据收集。数据收集的回复率为 47.20%。通过问卷从 236 名医生中横向收集了数据。研究发现,绩效预期、努力预期、信任和隐私感知对医生采用电子纳比兹系统的行为意向有显著影响。此外,便利条件和行为意向也是使用行为的决定因素(P < 0.05)。原创性/价值本研究证实,UTAUT 模型为预测影响医生行为和使用 e-Nabız 意愿的因素提供了一个合适的框架。此外,实证研究结果表明,该模型中额外考虑的信任和感知隐私也具有影响力。
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Predictors of e-Nabız acceptance among physicians: an integration of UTAUT, trust, and privacy factors
Purpose 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. Design/methodology/approach 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. Findings 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). Originality/value 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.
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