| مشخصات مقاله | |
| ترجمه عنوان مقاله | نیت رفتاری ارائه دهندگان مراقبت های بهداشتی خط مقدم برای برنامه های کاربردی مراقبت های بهداشتی فعال شده با اینترنت اشیا (IoT): یک مطالعه بین نسلی مبتنی بر جنسیت |
| عنوان انگلیسی مقاله | Frontline healthcare providers’ behavioural intention to Internet of Things (IoT)-enabled healthcare applications: A gender-based, cross-generational study |
| انتشار | مقاله سال 2022 |
| تعداد صفحات مقاله انگلیسی | 15 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
| مقاله بیس | این مقاله بیس میباشد |
| نمایه (index) | Scopus – Master Journals List – JCR |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| ایمپکت فاکتور(IF) |
8.593 در سال 2020 |
| شاخص H_index | 117 در سال 2020 |
| شاخص SJR | 2.226 در سال 2020 |
| شناسه ISSN | 0040-1625 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| فرضیه | دارد، بخش های H1-H2-H3-H4-H5-H6 در صفحات 6 و 7 |
| مدل مفهومی | دارد، بخش Conceptual model صفحه 3 |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مدیریت |
| گرایش های مرتبط | مدیریت اطلاعات |
| نوع ارائه مقاله |
ژورنال |
| مجله | پیش بینی فناوری و تغییرات اجتماعی – Technological Forecasting and Social Change |
| دانشگاه | Department of Management Information Systems, Dhofar University, Oman |
| کلمات کلیدی | امنیت و حریم خصوصی، اعتماد، درک ریسک، ارائه دهندگان مراقبت های بهداشتی خط مقدم، اینترنت اشیا، جنسیت |
| کلمات کلیدی انگلیسی | Security and privacy, Trust, Risk perception, Frontline healthcare providers, Internet of things, Gender |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.techfore.2021.121256 |
| کد محصول | E15973 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Keywords Introduction Theoretical background Conceptual model and hypothesis development Methodology Data analysis Discussion Conclusion Authorship statement Declaration of Competing Interest Acknowledgements Appendix A: Study measurement References Vitae |
| بخشی از متن مقاله: |
| ABSTRACT There are numerous risks associated with the interconnection of healthcare provision and the Internet of Things (IoT), with its sensory capabilities shown to reduce confidence in novel technology due to fears of a loss of privacy. There exists a clear omission in the extant literature—consideration of gender differences in Frontline Healthcare Providers’ (FHP) behavioural intentions—which this work aims to address through the analysis of IoT-enabled healthcare applications’ (HAs) behavioural intentions in multicultural and bi-generational (Gen X, Y) context. Essentially, analysing gender and generational differences in relation to the variables (privacy, security and trust that influence risk perception; the latter alongside attitude and perceived behavioural control potentially affect the intention) affecting FHPs’ BI towards IoT enabled HAs. A novel model is presented herein, which combines Planned Behaviour (TPB), Privacy Calculus (PCT), and the trust-risk framework. Questionnaire methodology (n = 401) was applied to both generations under consideration, data was assessed using Partial Least Squares Multi-Group Analysis (PLS-MGA), which showed gender differences in Gen Y, but there was little evidence to suggest that risk perception affects any of the cohort’s behavioural intention towards the use of IoTenabled HA, which in turn should help guide both future institutional policy and application development . Introduction Advances in network technologies, combined with mass production of smart devices equipped with sensors with continuous, bidirectional transmission, and the advent of cloud computing have been the primary drivers behind IoT development and implementation in big data driven infrastructural control (Hassan et al., 2018; Li et al., 2020; Rafique et al., 2020; Razzak et al., 2020). However, the security problems inherent in the wider internet itself remain prevalent in IoT. In truth, each element in IoT’s tri-layer structure—perception, transport, and application—requires individual consideration in that respect (Tewari and Gupta, 2020). IoT is now commonplace in modern society, often appearing in the food supply chain, logistics, mining, computing, and healthcare sectors (Pang et al., 2015; Yildirim and Ali-Eldin, 2019). Particularly in the case of the latter, the drive for service improvement has resulted in a broad body of literature considering this advance (Asif-Ur-Rahman et al., 2019; Syed et al., 2019) |