ارائه مدل محرک‌های صنعت 4.0 در بهداشت و درمان: یک مطالعه آمیخته

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت کسب و کار، دانشکده علوم مالی، مدیریت و کارآفرینی، دانشگاه کاشان، کاشان، ایران

2 استادیار، گروه مدیریت صنعتی و کارآفرینی ، دانشکده علوم انسانی، دانشگاه شاهد، تهران، ایران

چکیده

علی‌رغم مزایای متعدد صنعت نسل 4، بخش بهداشت و درمان ایران انطباق زیادی با آن پیدا نکرده است. یکی از مواردی که می‌تواند در این زمینه راهگشا باشد شناسایی محرک‌های این پدیده است. بررسی‌ها بیانگر عدم توجه به این موضوع در بخش سلامت است درنتیجه ‌این تحقیق به دنبال شناسایی محرک‌های بهداشت و درمان 4.0 در بخش سلامت ایران و مدل‌سازی آن‌ها است. جامعه آماری این تحقیق خبرگان بهداشت و درمان ایران، شیوه نمونه‌گیری قضاوتی و گلوله برفی، حجم نمونه در فاز اول 19 و در فاز دوم 10 نفر و شیوه تجزیه‌وتحلیل در مرحله اول و دوم به ترتیب تحلیل تماتیک و مدل‌سازی ساختاری تفسیری است. نتایج مرحله اول بیانگر 23 محرک است که در قالب 6 دسته اصلی قرار گرفتند. نتایج مرحله دوم نشان داد محرک‌های «تشدید بیماری»، «فشار رقابتی» و «فشار عمومی» بنیادی‌ترین محرک‌ها برای تصمیم سازی هستند. بر این اساس، رفع موانع حضور بخش خصوصی، ارتقاء آگاهی عمومی و توانمندسازی مدیران توصیه می‌گردد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Presenting the industry 4.0 driver model in healthcare: a mixed method

نویسندگان [English]

  • Esmaeil Mazroui Nasrabadi 1
  • Amin Habibirad 2
1 department of business administration, faculty of financial science, management and entrepreneurship, university of Kashan, Kashan, Iran
2 Assistant professor, industrial management and entrepreneurship department, Humanities Faculty, Shahed university, Tehran, Iran
چکیده [English]

Despite the numerous benefits of Industry 4.0, the healthcare sector in Iran has not yet fully adapted. One of the ways to address this issue is to identify the drivers of this phenomenon. This topic has not been investigated in the literature of healthcare. Therefore, this research aims to identify the drivers of Healthcare 4.0 in Iran and model them. The statistical population of this research is Healthcare experts in Iran. Judgmental and snowball sampling methods is used. Sample size is equals to 19 experts in the first phase and 10 experts in the second phase. The analysis method in the first and second phases is thematic analysis and fuzzy total interpretive structural modeling, respectively. The results of the first phase indicate 23 drivers, which are categorized into 6 main categories. The results of the second phase show that the drivers of "disease exacerbation", "competitive pressure", and "public pressure" are the most fundamental drivers for decision making. Based on this, it is recommended to remove barriers to private sector participation, increase public awareness, and empower managers.

کلیدواژه‌ها [English]

  • Industry 4.0
  • Healthcare 4.0
  • Competition
  • Public Awareness
  • Disease Exacerbation
Abdullayeva, F. J. (2022). Internet of Things‐based healthcare system on patient demographic data in Health 0/4. CAAI Transactions on Intelligence Technology, 7(4), 644-657.‏ https://doi.org/10.1049/cit2.12128
Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 0/4 and health: Internet of things, big data, and cloud computing for healthcare 0/4. Journal of Industrial Information Integration, 18, 100129. https://doi.org/10.1016/j.jii.2020.100129
Ahsan, M. M., & Siddique, Z. (2022). Industry 0/4 in Healthcare: A systematic review. International Journal of Information Management Data Insights, 2(1), 100079.‏ https://doi.org/10.1016/j.jjimei.2022.100079
Al-Jaroodi, J., & Mohamed, N. (2022). Healthcare 0/4 significance and benefits affirmed by the COVID-19 pandemic. In Digital Innovation for Healthcare in COVID-19 Pandemic (pp. 307-330). Academic Press. https://doi.org/10.1016/B978-0-12-821318-6.00005-0
Al-Jaroodi, J., Mohamed, N., & Abukhousa, E. (2020). Health 0/4: on the way to realizing the healthcare of the future. Ieee Access, 8, 211189-211210.‏ https://doi.org/10.1109/ACCESS.2020.3038858
Ameri A, Khajouei R, Ghasemi Nejad P. Barriers to Implementing Electronic Health Records from the Perspective of IT Administrators and Hospital Managers in Kerman. jha 2017; 20 (69) :19-30 [In Persian]. http://jha.iums.ac.ir/article-1-2208-fa.html.
Baniasadi, A., & Salehi, K. (2019). Introduction on the Principles and Process of Construction and Validation of the Interview Protocol. Higher Education Letter12(46), 177-203. [In Persian]. https://journal.sanjesh.org/article_36128.html?lang=en
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101. https://biotap.utk.edu/wp-content/uploads/2019/10/Using-thematic-analysis-in-psychology-1.pdf
Çınar, Zeki Murat., Zeeshan, Qasim., & Korhan, Orhan. (2021). A framework for industry 0/4 readiness and maturity of smart manufacturing enterprises: A case study. Sustainability, 13(12), 6659.‏ https://doi.org/10.3390/su13126659
Dadhich, M., Poddar, S., & Hiran, K. K. (2022). Antecedents and consequences of patients' adoption of the IoT 0/4 for e-health management system: A novel PLS-SEM approach. Smart Health, 25, 100300.‏ https://doi.org/10.1016/j.smhl.2022.100300
Desai, A. A., Patil, S. D., Yadav, P. H., & Kekare, A. (2023). Design, Analysis, and Development of Additive Manufacturing by using FDM Technique with Dual Nozzle Assembly. Materials Today: Proceedings, 77, 619-626. https://doi.org/10.1016/j.matpr.2022.11.010
Egilmez, O., & Gozde, K. O. C. A. (2021). Drivers, Challenges, and Integration of Health 0/4 Societal Engagement: Evidence from Turkey. Istanbul Business Research, 50(1), 127-148.‏ https://dergipark.org.tr/en/pub/ibr/issue/64325/976610
Fanta, G. B., Pretorius, L. E. O. N., & Nunes, B. R. E. N. O. (2021). Enabling circular economy in healthcare using industry 0/4 digital technologies. In Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT.‏ https://www.proceedings.com/060557-0085.html
Grabowska, S., & Saniuk, S. (2023). Business Models for industry 0/4: Concepts and Challenges in SME Organizations. Taylor & Francis.‏ https://doi.org/10.4324/9781003317401-1
Guba, E. G., & Lincoln, Y. S. (1982). Epistemological and methodological bases of naturalistic inquiry. ECTJ, 30(4), 233-252. https://doi.org/10.1007/BF02765185
Horváth, D., & Szabó, R. Z. (2019). Driving forces and barriers of Industry 0/4: Do multinational and small and medium-sized companies have equal opportunities?. Technological forecasting and social change, 146, 119-132. https://doi.org/10.1016/j.techfore.2019.05.021
Karatas, M., Eriskin, L., Deveci, M., Pamucar, D., & Garg, H. (2022). Big Data for Healthcare Industry 0/4: Applications, challenges and future perspectives. Expert Systems with Applications, 116912. https://doi.org/10.1016/j.eswa.2022.116912
Karboub, K., Tabaa, M., Dandache, A., Dellagi, S., & Moutaouakkil, F. (2019). Toward health 0/4: Challenges and opportunities. In International Conference on Innovation and New Trends in Information Technology (Vol. 20, p. 21).‏ https://www.researchgate.net/publication/338117498_Toward_Health_40_Challenges_and_Opportunities
Kbvresearch. (2022). Global Industry 0/4 Market Size, Share & Industry Trends Analysis Report By Technology (Industrial Sensors, Machine Vision, Industrial Robots, HMI, Blockchain, Industrial 3D Printing, AI in Manufacturing, Digital Twin, Machine Condition Monitoring, and Automated Guided Vehicles), By Regional Outlook and Forecast, 2022 – 2028. Retrieved at 12/17/2023 from: https://www.kbvresearch.com/industry-4-market/
Kotzias, K., Bukhsh, F. A., Arachchige, J. J., Daneva, M., & Abhishta, A. (2022). Industry 0/4 and healthcare: Context, applications, benefits and challenges. IET Software.‏1-54. https://doi.org/10.1049/sfw2.12074
Kumar, S., Srivastava, M., & Prakash, V. (2023). Challenges and Opportunities for Mutual Fund Investment and the Role of Industry 0/4 to Recommend the Individual for Speculation. New Horizons for Industry 0/4 in Modern Business, 69-98.‏ https://doi.org/10.1007/978-3-031-20443-2_4
Mazroui Nasrabadi, E., & Kheirkhah Maraghi, Z. (2023). Industry 0/4 Outcome Drivers Model in Healthcare: A Fuzzy Total Interpretive Structural Modeling Approach. Health Information Management20(1), 56-64. [In Persian]. https://doi.org/10.48305/him.2023.41702.1110
Mazroui Nasrabadi, E., Salmannejad, M., & sadeqi-Arani, Z. (2023). Strategic Challenges of Applying Industry 0/4 in the Healthcare Sector:Scenario Analysis Approach. Strategic Management Researches, 29(90). [In Persian]. https://smr.journals.iau.ir/article_707259.html?lang=en.
Müller, J. M. (2019). Antecedents to digital platform usage in Industry 0/4 by established manufacturers. Sustainability, 11(4), 1121. https://doi.org/10.3390/su11041121
Mustapha, I., Khan, N., Qureshi, M. I., Harasis, A. A., & Van, N. T. (2021). Impact of industry 0/4 on healthcare: a systematic literature review (SLR) from the last decade.‏ iJIM ‒ Vol. 15, No. 18, 116-128. http://hdl.handle.net/123456789/25705
Mwanza, J., Telukdarie, A., & Igusa, T. (2023). Impact of industry 0/4 on healthcare systems of low-and middle-income countries: a systematic review. Health and Technology, 1-18.‏ https://doi.org/10.1007/s12553-022-00714-2
Nelvi, A. A., Fami, A., & Aprilianti, D. (2023). Aplikasi Augmented Reality (AR) untuk Pengenalan Varietas Anggur Hasil Balitbangtan. JTIM: Jurnal Teknologi Informasi dan Multimedia, 4(4), 291-299.‏ https://doi.org/10.35746/jtim.v4i4.267
Nogalski, B. (2020). The Future of Management. Industry 0/4 and Digitalization. Wydawnictwo UJ.‏ https://doi.org/10.4467/K7123.106/20.20.15521
ODUNCU, F. (2022). Health 0/4 and Health 0/4 Technology Applications. Aurum Journal of Health Sciences, 4(3), 185-196.‏ https://dergipark.org.tr/en/pub/ajhs/issue/74670/1207937
Opricovic, S., & Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(05), 635-652. https://doi.org/10.1142/S0218488503002387
Ow, J. (2021). The Future of Healthcare in Singapore. The Challenges and Benefits of Integrated Use of Industry 0/4 Technologies and How Likely the General Public and Institutions Are to Adopt the Integration of Industry 0/4 Technologies. Available at SSRN 3957676.‏ https://dx.doi.org/10.2139/ssrn.3957676
Palaniswamy, T., & Vellingiri, M. (2023). Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis using Retinal Fundus Images. IEEE Access.‏ https://doi.org/10.1109/ACCESS.2023.3257988
Pandey, S., Laxmi, V., & Mahapatra, R. P. (2022). Industry 0/4, Intelligent Manufacturing, Internet of Things, Cloud Computing: An Overview. A Roadmap for Enabling industry 0/4 by Artificial Intelligence, 17-29.‏ https://doi.org/10.1002/9781119905141.ch2
Papulova, Z., & Krcmery, S. (2021, November). Innovations in Healthcare Sector Connected to Industry 0/4. In Management Trends in the Context of Industry 0/4.‏ 1-15. http://dx.doi.org/10.4108/eai.4-12-2020.2303350
Pavani, K., Sree, J. R. S., Rani, A. S. S., Rohini, K., Kumar, T. P., & Yellamma, P. (2023, January). Data Security and Privacy Issues in Cloud Environment. In 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 788-793). IEEE.‏ https://doi.org/10.1109/ICSSIT55814.2023.10060925
Pourkhayat M, Shahmohammadi A, Tavakoli quchani H. Identifying the Potentials, Challenges, and Barriers to the Application of New Communication Technologies in the Field of Health with a Focus on Rare Patients: A Qualitative Study. North Khorasan University of Medical Sciences 2023; 14 (4):1-14. [In Persian].  http://dx.doi.org/10.32592/nkums.14.4.1
Pozzi, R., Rossi, T., & Secchi, R. (2023). Industry 0/4 technologies: Critical success factors for implementation and improvements in manufacturing companies. Production Planning & Control, 34(2), 139-158.‏ https://doi.org/10.1080/09537287.2021.1891481
Precedentresearch. (2023). Pharma 0/4 Market (By Technology: Cloud Computing, Artificial Intelligence, Big Data Analytics, Internet of Things; By Application: Drug Discovery and Development, Clinical Trials, Manufacturing; By End-User: Pharmaceutical Companies, Biotechnology Companies, CROs and CMOs) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032. Retrieved at: 12/17/2023 from: https://www.precedenceresearch.com/pharma-4-0-market
Raj, A., & Jeyaraj, A. (2023). Antecedents and consequents of industry 0/4 adoption using technology, organization and environment (TOE) framework: A meta-analysis. Annals of Operations Research, 322(1), 101-124.‏ https://doi.org/10.1007/s10479-022-04942-7
Rajendran, P. (2019). Speeding Up Trajectory Planning for Autonomous Robots Operating in Complex Environments (Doctoral dissertation, University of Southern California).‏ https://www.proquest.com/openview/44799b004f0a99088cac3e71257153d9/1?pq-origsite=gscholar&cbl=51922&diss=y
Ravi, C., Tomar, A., & Yadav, T. K. (2023) INDUSTRY 0/4: DIGITALIZATION AND SUSTAINABILITY OPPORTUNITIES.‏ International Research Journal of Modernization in Engineering Technology and Science, 5(1), 210-215. https://www.doi.org/10.56726/IRJMETS32784
‏Rehman, M. U., Andargoli, A. E., & Pousti, H. (2019). Healthcare 0/4: trends, challenges and benefits. Australasian Conference on Information Systems, Perth Western Australia. https://aisel.aisnet.org/acis2019/59/
Rezaeizadeh, M; Ansari, M & Morphi, I. (2013). A practical guide to the research method: interactive management (IM) and Interpretive Structural Modeling (ISM). Tehran: Jihad Daneshgahi Publications, first edition. (In Persian). https://saneibook.com/
Seifi, Behzad. (1400). Digital health, the neglected issue of health care providers. Peivast, serial 91, 38. [In Persian]. https://peivast.com/magazine/91.
Sood, S. K., Rawat, K. S., & Kumar, D. (2022). A visual review of artificial intelligence and Industry 0/4 in healthcare. Computers and Electrical Engineering, 101, 107948.‏ https://doi.org/10.1016/j.compeleceng.2022.107948
Stentoft, J., Adsbøll Wickstrøm, K., Philipsen, K., & Haug, A. (2021). Drivers and barriers for Industry 0/4 readiness and practice: empirical evidence from small and medium-sized manufacturers. Production Planning & Control, 32(10), 811-828.‏ https://doi.org/10.1080/09537287.2020.1768318
Taqi, H. M., Nur, S. M., Salman, S., Ahmed, T., Sarker, S., Ali, S. M., & Sankaranarayanan, B. (2023). Behavioural factors for Industry 0/4 adoption: implications for knowledge-based supply chains. Operations Management Research, 1-18.‏ https://doi.org/10.1007/s12063-022-00338-9
Tortorella, G. L., Fogliatto, F. S., Saurin, T. A., Tonetto, L. M., & McFarlane, D. (2022). Contributions of Healthcare 0/4 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak. Technovation, 111, 102379.‏ https://doi.org/10.1016/j.technovation.2021.102379
Virmani, N., Sharma, S., Kumar, A., & Luthra, S. (2023). Adoption of industry 0/4 evidence in emerging economy: Behavioral reasoning theory perspective. Technological Forecasting and Social Change, 188, 122317.‏ https://doi.org/10.1016/j.techfore.2023.122317
Wani, Z. A., & Bhat, A. (2023). Exploring the Augmented Intelligence and Augmented Reality: Their Use and Future Applications in Libraries. In Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0 (pp. 125-141). IGI Global.‏ https://doi.org/10.4018/978-1-6684-4755-0.ch007
Weerasinghe, W. P. T. D., Vidanagamachchi, K., & Nanayakkara, L. D. J. F. (2020, March). Employee competencies development framework for industry 0/4 adaptation in the healthcare sector. In Proc. Int. Conf. Ind. Eng. Oper. Manag. (pp. 1063-1075).‏ http://repository.kln.ac.lk/handle/123456789/20656
Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499-507.‏ https://doi.org/10.1016/j.eswa.2005.12.005
Wulandari, S. S. (2023). Big Data Concepts, Opportunities, Challenges, and Paradoxes. BULLET: Jurnal Multidisiplin Ilmu, 2(1), 1-5.‏ https://journal.mediapublikasi.id/index.php/bullet/article/view/2095
Zouqiong, H. (2023). Cyber Security Evolution and Conceptualization. Social Science Journal for Advanced Research, 3(1), 1-5.‏ https://doi.org/10.54741/ssjar.3.1.1