نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار، گروه مدیریت کسب و کار، دانشکده علوم مالی، مدیریت و کارآفرینی، دانشگاه کاشان، کاشان، ایران
2 فارغ التحصیل کارشناسی ارشد، گروه مدیریت کسب و کار، دانشکده علوم مالی، مدیریت و کارآفرینی، دانشگاه کاشان، کاشان، ایران
چکیده
مقدمه: انقلاب صنعتی چهارم یا صنعت 0/4 با بهرهمندی از فناوریهایی مانند اینترنت اشیا، اینترنت، رایانش ابری و هوش مصنوعی درک ما را از دنیای پیرامونمان تغییر خواهد داد. این صنعت کاربردهای گستردهای در بخش سلامت دارد در نتیجه این تحقیق با هدف شناسایی و مدلسازی محرکهای نتیجهای صنعت 0/4 در بهداشت و درمان کاشان انجام شده است.
روش بررسی: این تحقیق از نوع تحقیقات آمیخته است و در 2 مرحله انجام شده است. در مرحله اول محرکهای نتیجهای شناسایی و در مرحله دوم مدلی برای آنها ارائه شد. شیوه نمونهگیری، در هر 2 مرحله هدفمند بود. تعداد مشارکتکنندگان در مراحل تحقیق به ترتیب 14 نفر و 10 نفر، ابزار گرداوری دادهها مصاحبههای نیمه ساختاریافته و پرسشنامه محقق ساخته و شیوه تحلیل دادهها، تحلیل تماتیک و مدلسازی ساختاری تفسیری فراگیر فازی است.
یافتهها: در این تحقیق 55 محرک نتیجهای شناسایی گردید که در قالب 12 مقوله دستهبندی شدند. بر اساس مدلسازی ساختاری محرکها مشخص گردید که محرکهای «بهبود علم پزشکی»، «طراحی محصول و خدمت»، «دسترسی و حفاظت از دادهها»، مهمترین محرکهایی هستند که میتوانند در سیاستگذاریهای کلان کشور، سیاستهای بخش سلامت و استراتژیهای سازمانی در نظر گرفته شوند.
نتیجهگیری: به منظور تشویق بخش سلامت برای رفتن به سمت بهداشت و درمان 0/4 لازم است سه ضلع اصلی (دولت، جامعه و مدیران بخش سلامت) در این خصوص آگاهی لازم را کسب کنند. با توجه به یافتههای تحقیق لازم است مزایای کاربرد صنعت 0/4 در بهداشت و درمان در قالب کارگاههای آموزشی برای مدیران بخش سلامت و سیاستگذاران دولتی برگزار شود.
تازه های تحقیق
اسماعیل مزروعی نصرآبادی: scholar
کلیدواژهها
موضوعات
عنوان مقاله [English]
Industry 4.0 Outcome Drivers Model in Healthcare: A Fuzzy Total Interpretive Structural Modeling Approach
نویسندگان [English]
- Esmaeil Mazroui Nasrabadi 1
- Zahra Kheirkhah Maraghi 2
1 Assistant Professor,, Department of Business Administration,, Faculty of Financial science, Management and Entrepreneurship, University of Kashan, Kashan, Iran
2 Master Graduate, department of business administration, faculty of financial science, management and entrepreneurship, university of Kashan, Kashan, Iran
چکیده [English]
Introduction: The fourth industrial revolution or the 0.4 industry will change our perception of the world around us by benefiting from technologies such as the Internet of Things, the Internet, cloud computing and artificial intelligence. This industry has wide applications in the health sector. As a result, this research was conducted with the aim of identifying and modeling the resulting drivers of the 0.4 industry in Kashan health and treatment.
Methods: This research is a mixed type of research and was done in 2 stages. In the first stage, the outcome drivers are identified and in the second stage, a model for them is presented. The sampling method is purposeful in both stages. The number of participants in stages 1 and 2 is 14 and 10 people, respectively, the data collection tool is semi-structured interviews and a researcher-made questionnaire, and the method of data analysis is thematic analysis and fuzzy total interpretive structural modeling.
Results: To identify the outcome drivers of using industry 4.0 in the health sector, 55 drivers were identified through interviews, which were categorized into 12 categories. Based on the drivers model, it was determined that improving medical science, product and service design, access, and data protection are the most important drivers that can be considered in the country's macro policies, health sector policies, and organizational strategies.
Conclusion: To stimulate the health sector to go towards healthcare 0.4, the three main sides (government, society, and health sector managers) must gain the necessary knowledge in this regard. According to the findings of the research, it is necessary to hold recent developments in the field of medical science, which have been caused by industry 4.0, in the form of educational workshops for health department managers and government policymakers.
کلیدواژهها [English]
- Healthcare
- Big Data
- Internet of Things
qualitative viewpoint. International Journal of Quality & Reliability Management. 2023; 40(1): 1-24.
2. Shrivastava A, Krishna KM, Rinawa ML, Soni M, Ramkumar G, Jaiswal S. Inclusion of IoT, ML, and blockchain technologies in next
generation industry 4.0 environment. Materials Today: Proceedings. 2023, 80: 3471-3475.
3. Karatas M, Eriskin L, Deveci M, Pamucar D, Garg H. Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives.
Expert Systems with Applications. 2022 Aug 15;200:116912.
4. Ahsan MM, Siddique Z. Industry 4.0 in Healthcare: A systematic review. International Journal of Information Management Data Insights.
2022; 2(1):100079.
5. Sood SK, Rawat KS, Kumar D. A visual review of artificial intelligence and Industry 4.0 in healthcare. Computers and Electrical Engineering.
2022; 101:107948.
6. Mwanza J, Telukdarie A, Igusa T. Impact of industry 4.0 on healthcare systems of low-and middle-income countries: a systematic review.
Health and Technology. 2023; 13(1):35-52.
7. Ow J. The Future of Healthcare in Singapore. the Challenges and Benefits of Integrated Use of Industry 4.0 Technologies and How Likely the
General Public and Institutions Are to Adopt the Integration of Industry 4.0 Technologies. Available at SSRN 3957676. 2021 Nov 4.
8. Fanta GB, Pretorius LE, Nunes BR. Enabling circular economy in healthcare using industry 4.0 digital technologies. InProceedings of the 30th
International Conference of the International Association for Management of Technology, IAMOT 2021.
http://him.mui.ac.ir
اسماعیل مزروعی نصرآبادی و زهرا خیرخواه مرقی
63 مدیریت اطالعات سالمت / دوره بیستم / شماره اول/ بهار 1402
9. Mustapha I, Khan N, Qureshi MI, Harasis AA, Van NT. Impact of industry 4.0 on healthcare: a systematic literature review (SLR) from the
last decade. iJIM. 2021; 15(18): 116-128.
10. Kotzias K., Bukhsh F A., Arachchige JJ, Daneva M., Abhishta A. Industry 4.0 and healthcare: Context, applications, benefits and challenges.
IET Software. 2022,1-54.
11. Raj A, Jeyaraj A. Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework:
A meta-analysis. Annals of Operations Research. 2023; 322(1):101-24.
12. Müller JM. Antecedents to digital platform usage in Industry 4.0 by established manufacturers. Sustainability. 2019;11(4):1121.
13. Dadhich M, Poddar S, Hiran KK. Antecedents and consequences of patients' adoption of the IoT 4.0 for e-health management system: A novel
PLS-SEM approach. Smart Health. 2022; 25:100300.
14. Rehman M U, Andargoli AE, Pousti, H. Healthcare 4.0: trends, challenges and benefits. Australasian Conference on Information Systems, Perth
Western Australia. 2019.
15. Rezaeizadeh M, Ansari M, Morphi I. A practical guide to the research method: interactive management (IM) and Interpretive Structural
Modeling (ISM). Tehran: Jihad Daneshgahi Publications, first edition. 2013. [In Persian].
16. Opricovic S, Tzeng GH. Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems. 2003;11(05): 635-52.
17. Wu WW, Lee YT. Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications.
2007;32(2):499-507.
18. Virmani N, Sharma S, Kumar A, Luthra S. Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective.
Technological Forecasting and Social Change. 2023;188:122317.
19. Ravi C, Tomar A., Yadav TK. INDUSTRY 0/4: Digitalization and Sustainability Opportunities. International Research Journal of
Modernization in Engineering Technology and Science. 2023;5(1): 210-215.
20. Bastos A, De Andrade ML, Yoshino RT, Santos MM. Industry 4.0 readiness assessment method based on RAMI 4.0 standards. IEEE Access.
2021;9:119778-99.
21. Aceto G., Persico V, Pescapé A. Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 0/4. Journal of Industrial
Information Integration. 2020: 18, 100129.
22. Friebe MH. Healthcare in need of innovation: exponential technology and biomedical entrepreneurship as solution providers (Keynote Paper).
InMedical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling 2020 ;Vol. 11315: 196-205.
23. Al-Jaroodi J, Mohamed N. Healthcare 4.0 significance and benefits affirmed by the COVID-19 pandemic. InDigital Innovation for Healthcare
in COVID-19 Pandemic 2022: 307-330. Academic Press.
24. Abdel-Basset M, Chang V, Nabeeh NA. An intelligent framework using disruptive technologies for COVID-19 analysis. Technological
Forecasting and Social Change. 2021;163:120431..
25. Bause M, Esfahani BK, Forbes H, Schaefer D. Design for health 4.0: exploration of a new area. InProceedings of the design society:
international conference on engineering design 2019;1(1): 887-896. Cambridge University Press.