شناسایی عوامل ارزش پایدار در استفاده از فناوری اطلاعات در خدمات بهداشتی درمانی جهت مدیریت بیمارهای واگیردار ویروسی (تحلیل تماتیک- SEM)
محورهای موضوعی : -مدیریت خدمات بهداشتی و درمانیعلیرضا رادان 1 , رضا رادفر 2 , محمدعلی افشارکاظمی 3 , علیرضا پورابراهیمی 4
1 - دانشجوی دکتری، مدیریت فناوری اطلاعات، واحد امارات، دانشگاه آزاد اسلامی، ایران
2 - دکتری، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
3 - دکتری، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
4 - دکتری، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، واحد کرج، دانشگاه آزاد اسلامی، کرج، ایران
کلید واژه: ارزش پایدار, فناوری اطلاعات, مدیریت پندمیک, بیماری های حاد, آینده نگری. ,
چکیده مقاله :
مقدمه: سال‌های اخیر دنیا درگیر بحرانی بیماری زا به نام کرونا ویروس شد. اثار این بحران به اندازه است که برخی پژوهشگران به دنیای بعد از کرونا نیز توجه ویژه‌ای داشته‌اند. بنابراین هدف از انجام این پژوهش شناسایی عوامل ارزش پایدار در استفاده از فناوری اطلاعات جهت مدیریت بیماری‌های حاد ویروسی می‌باشد. روش پژوهش: روش پژوهش امیخته می‌باشد. در بخش کیفی روش تحلیل تم بکار گرفته‌شده است. سنجش پایایی این بخش نیز، روش تطبیق توسط دو کدگذار، می‌باشد که ضریب برابر با 83 درصد به دست آمد. در این بخش مصاحبه‌ها تا رسیدن به سطح اشباع نظری ادامه یافت و 23 مصاحبه گردآوری شد. در بخش کمی نیز از روش مدلسازی معادلات ساختاری با رویکرد حداقل مربعات جزئی با استفاده از نرم‌افزار اسمارت پی ال اس نسخه 3 به تجزیه و تحلیل داده‌های پرداخته شده است و پرسشنامه نیمه ساختار یافته‌ای با طیف لیکرت پنج گز‌ینه‌ای بین 241 نفر توزیع گردید. جامعه آماری پژوهش شامل کادر درمانی در رشته‌های علوم پزشکی و اعضای هیئت‌علمی‌در رشته‌های مدیریت و فناوری هم‌چنین مدیران شرکتهای دانش‌بنیان فعال در فناوری پزشکی واقع در استان تهران می‌باشند. هم‌چنین روش نمونه گیری در این بخش روش تصادفی ساده با استفاده از فرمول کوکران می‌باشد. یافتهها: نتایج نشان داد که در بخش مدیریت و کنترل پندمیک، سه عامل سازماندهی (با ضریب 0.41)، کنترل و نظارت (با ضریب 0.28)، برنامه‌ریزی (با ضریب 0.43) و در بخش ارزش پایدار، عامل‌های محیطی (با ضریب 0.29)، اجتماعی (با ضریب 0.37) و اقتصادی (با ضریب 0.47) مورد تایید قرار گرفتند. نتیجهگیری: بدین ترتیب استفاده از فناوری اطلاعات پایدار نه تنها می‌تواند کنترل پندمی‌ها را در دست بگیرد بلکه از پیامدهای ان نیز برای ایندگان می‌تواند پیشگیری کند.
Introduction: In recent years, the world has been engulfed in a crisis caused by a contagious disease called the coronavirus. The impact of this crisis is so significant that some researchers have also paid special attention to the post-coronavirus world. Therefore, the aim of this research is to identify the factors of sustainable value in using information technology for managing acute viral diseases. Methods: The research method is mixed. In the qualitative section, the thematic analysis method has been employed. The reliability assessment of this section is also conducted using the method of comparison by two coders, resulting in a coefficient of 83%. In this section, interviews continued until theoretical saturation was reached, and 23 interviews were collected. In the quantitative section, structural equation modeling with a partial least squares approach using SmartPLS_3 software was employed to analyze the data, and a semi-structured questionnaire with a five-option Likert spectrum was distributed among 241 individuals. The research population includes healthcare professionals in medical sciences, faculty members in management and technology fields, as well as managers of knowledge-based companies active in medical technology in Tehran province. Simple random sampling using the Cochran formula is also employed in this section. Results: The results showed that in the area of pandemic management and control, organizational factors (with a coefficient of 0.41), control and supervision (with a coefficient of 0.28), and planning (with a coefficient of 0.43) were confirmed. In the sustainable value section, environmental factors (with a coefficient of 0.29), social factors (with a coefficient of 0.37), and economic factors (with a coefficient of 0.47) were confirmed. Conclusion: Thus, the sustainable use of information technology can not only control pandemics but also prevent their consequences for future generations.
Abdoli Mohamadabadi, T., Ahmadpour Daryani, M., Amiri Sardari, Z., & Karimi, A. (2023). Identifying The Skills Of The Management Team In The Development Of Dynamic Capabilities In New Ventures (Case Study: IT Businesses). Organizational Culture Management.
Amir, H., Sudarman, S., Asfar, A., & Batara, A. S. (2020). Covid19 pandemic: management and global response. Jurnal Kesehatan Lingkungan, 12(1), 121-128.
Bohloli, H., Jamshidi, H. R., Abedini, A., Ebraze, A., & Rabbani Khah, F. (2021). Modeling Effective Interventions in Corona Virus (SARS-CoV-2) Management and Control in iran: A Futuristic Approach. Iranian Journal of Public Policy, 7(3), 9-35. doi: 10.22059/jppolicy.2021.83364 (in Persian)
Chamola, V., Hassija, V., Gupta, S., Goyal, A., Guizani, M., & Sikdar, B. (2020). Disaster and pandemic management using machine learning: a survey. IEEE Internet of Things Journal, 8(21), 16047-16071.
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. Ieee access, 8, 90225-90265.
Chamola, V., Mohammadi, R., Nair, H., Goyal, A., Patel, A., Hassija, V., ... & Ahmadikia, K. (2022). COVID-19-associated mucormycosis: A review of an emergent epidemic fungal infection in the era of COVID-19 pandemic. Journal of Research in Medical Sciences: The Official Journal of Isfahan University of Medical Sciences, 27.
Clark, N. M. (2003). Management of chronic disease by patients. Annual Review of Public Health, 24(1), 289-313.
Di Vaio, A., Boccia, F., Landriani, L., & Palladino, R. (2020). Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario. Sustainability, 12(12), 4851.
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314.
Evans, S., Vladimirova, D., Holgado, M., Van Fossen, K., Yang, M., Silva, E. A., & Barlow, C. Y. (2017). Business model innovation for sustainability: Towards a unified perspective for creation of sustainable business models. Business strategy and the environment, 26(5), 597-608.
García-Lizana, F., & Sarría-Santamera, A. (2007). New technologies for chronic disease management and control: a systematic review. Journal of telemedicine and telecare, 13(2), 62-68.
Ienca, M., & Vayena, E. (2020). On the responsible use of digital data to tackle the COVID-19 pandemic. Nature medicine, 26(4), 463-464.
Ienca, M., & Vayena, E. (2020). On the responsible use of digital data to tackle the COVID-19 pandemic. Nature medicine, 26(4), 463-464.
Isotalo, O. (2020). In front of evidence–Future workshop as an interface of scientific evidence and platform for evidence-based policy and management approaches.
Jahir, Y., Atiquzzaman, M., Refai, H., Paranjothi, A., & LoPresti, P. G. (2019). Routing protocols and architecture for disaster area network: A survey. Ad Hoc Networks, 82, 1-14.
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008). Global trends in emerging infectious diseases. Nature, 451(7181), 990-993.
Jørgensen, T. H. (2008). Towards more sustainable management systems: through life cycle management and integration. Journal of cleaner production, 16(10), 1071-1080.
Kakodkar, P., Kaka, N., & Baig, M. N. (2020). A comprehensive literature review on the clinical presentation, and management of the pandemic coronavirus disease 2019 (COVID-19). Cureus, 12(4).
Khan, S. A. R., Zia‐ul‐haq, H. M., Umar, M., & Yu, Z. (2021). Digital technology and circular economy practices: An strategy to improve organizational performance. Business Strategy & Development, 4(4), 482-490.
Lazebnik, T., Bunimovich-Mendrazitsky, S., & Shami, L. (2021). Pandemic management by a spatio–temporal mathematical model. International Journal of Nonlinear Sciences and Numerical Simulation, (0), 000010151520210063.
Lenert, L., & McSwain, B. Y. (2020). Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic. Journal of the American Medical Informatics Association, 27(6), 963-966.
Lenert, L., & McSwain, B. Y. (2020). Balancing health privacy, health information exchange, and research in the context of the COVID-19 pandemic. Journal of the American Medical Informatics Association, 27(6), 963-966.
Li, J., & Ray, P. (2010, July). Applications of E-Health for pandemic management. In The 12th IEEE International Conference on e-Health Networking, Applications and Services (pp. 391-398). IEEE.
Li, J., & Ray, P. (2010, July). Applications of E-Health for pandemic management. In The 12th IEEE International Conference on e-Health Networking, Applications and Services (pp. 391-398). IEEE.
Li, L., Lee, K. Y., Chang, Y., Yang, S. B., & Park, P. (2021). IT-enabled sustainable development in electric scooter sharing platforms: focusing on the privacy concerns for traceable information. Information Technology for Development, 27(4), 736-759.
Reeves, J. J., Hollandsworth, H. M., Torriani, F. J., Taplitz, R., Abeles, S., Tai-Seale, M., ... & Longhurst, C. A. (2020). Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. Journal of the American Medical Informatics Association, 27(6), 853-859.
Reeves, J. J., Hollandsworth, H. M., Torriani, F. J., Taplitz, R., Abeles, S., Tai-Seale, M., ... & Longhurst, C. A. (2020). Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. Journal of the American Medical Informatics Association, 27(6), 853-859.
Shahzad, U., Ferraz, D., Nguyen, H. H., & Cui, L. (2022). Investigating the spill overs and connectedness between financial globalization, high-tech industries and environmental footprints: Fresh evidence in context of China. Technological Forecasting and Social Change, 174, 121205.
Tash, M., & Amiri Sardari, Z. (2023). Structural-Functional Explanation of Green Marketing Effect in the Development of Health Tourism in Kerman Province. Journal of Tourism and Development, 12(1), 163-176. (in Persian)
Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature medicine, 26(4), 459-461.
Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature medicine, 26(4), 459-461.
Wang, A., Zhao, W., Xu, Z., & Gu, J. (2020). Timely blood glucose management for the outbreak of 2019 novel coronavirus disease (COVID-19) is urgently needed. Diabetes research and clinical practice, 162.
Wu, D., Lu, J., Liu, Y., Zhang, Z., & Luo, L. (2020). Positive effects of COVID-19 control measures on influenza prevention. International Journal of Infectious Diseases, 95, 345-346.
Wu, J. T., Leung, K., & Leung, G. M. (2020). Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. The lancet, 395(10225), 689-697.
Yaqoob, I., Hashem, I. A. T., Ahmed, A., Kazmi, S. A., & Hong, C. S. (2019). Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems, 92, 265-275.
Ye, Q., Wang, B., Mao, J., Fu, J., Shang, S., Shu, Q., & Zhang, T. (2020). Epidemiological analysis of COVID‐19 and practical experience from China. Journal of medical virology, 92(7), 755-769.
Ye, Q., Zhou, J., & Wu, H. (2020). Using information technology to manage the COVID-19 pandemic: development of a technical framework based on practical experience in China. JMIR medical informatics, 8(6), e19515.
Zakeri, B., Paulavets, K., Barreto-Gomez, L., Echeverri, L. G., Pachauri, S., Boza-Kiss, B., ... & Pouya, S. (2022). Pandemic, war, and global energy transitions. Energies, 15(17), 6114.