Journal of Human Resource Management

Journal of Human Resource Management

Model of Human Resources Competencies in Health Care 4.0

Document Type : Original Article

Authors
1 Assistant Prof., Department of Business Administration, Faculty of Financial Science, Management and Entrepreneurship, University of Kashan, Kashan, Iran.
2 MS.c., Department of Business Administration, Faculty of Financial Science, Management and Entrepreneurship, University of Kashan, Kashan, Iran.
Abstract
Background & Purpose: The emergence of the 4th generation industry has caused many progresses in the world, especially in the field of healthcare. For the correct implementation of this progress, human resource must have the necessary competencies. The importance of this issue is greater in the field of healthcare due to human interactions. Previous research has not paid much attention to this issue in the field of healthcare and has not provided a model of these competencies in the field of healthcare. Identifying these competencies and providing a model of relationships between them is vital for the progress of the country's healthcare. This research was done to cover this research gap.
Methodology: This research was done in 2 phases. The first phase was conducted to identify competencies through semi-structured interviews with experts. The sampling method in this phase was judgmental and snowball and its size was 15 people. Thematic analysis was used to analyze the interviews. In the second phase, the method of fuzzy total interpretive structural modeling was used to present the model. The data collection tool was a researcher-made questionnaire. The sampling method in this phase was judgmental and snowball and its size was 10 people.
Findings: The results suggest 30 competencies that were placed in 7 general categories. Among the competencies, the competencies of "high perceptive ability" and "possibility of using multiple senses" were not observed in the reviewed articles. The interpretive structural model showed that personality traits are the most fundamental competencies, followed by analytical skills, analytical skills, and then technological skills.
Conclusion: Since the people's personality is formed during childhood, it is required to revise the recruitment processes based on existing competencies. One of the most important tools of any organization is the capacity of in-service training systems, which can be used to strengthen other competencies. In most organizations, the effectiveness of these trainings has decreased. It is necessary to revise the employee training system based on the process of making motivation, group training, and follow-up learning level.
Keywords

Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18, 100129.‏
Ahsan, M. M., & Siddique, Z. (2022). Industry 4.0 in Healthcare: A systematic review. International Journal of Information Management Data Insights, 2(1), 100079.‏
Ameri, A., Khajouei, R. & Ghasemi Nejad, P. (2017). Barriers to Implementing Electronic Health Records from the Perspective of IT Administrators and Hospital Managers in Kerman. Journal of Health Administration 20 (69), 19-30. (in Persian)
Asadi, F. & Mastane, Z. (2012). Challenges of Using Information Technology in Hospitals Affiliated to Shaheed Beheshti University of Medical Sciences, 2009. Iranian Journal of Surgery, 20 (1). 18-26 .(in Persian)
Barhamand, A. & Sarabpour, S. (2022). The digital health landscape is fragile. Peivast, (91), 31-37. (in Persian)
ÇAVUŞ, Ö. H. (2022). Occupational Health and Safety Practises in the Industry 4.0 Process. Pamukkale Journal of Eurasian Socioeconomic Studies, 9(2), 147-169.‏
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.‏
Dombrowski, U. & Wagner, T. (2014). Arbeitsbedingungen im Wandel der Industrie 4.0. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 109(5), 351-355.‏
Eslami, G., & Khodayari, R. (2022). Identifying the Application, Opportunities, and Challenges of Using Blockchain Technology in Human Resource Management: A Systematic Review. Journal of Human Resource Management, 12(1), 1-16. (in Persian)
Fanta, G. B., Pretorius, L. E. O. N. & Nunes, B. R. E. N. O. (2021). Enabling circular economy in healthcare using industry 4.0 digital technologies. In Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT.‏
Gorbunova, O. N., Pilipchuk, N. V., Udovik, E. E., Shugaeva, O. V., & Shumakova, I. A. (2022). Work 4.0: Designing Competencies for the Employee of the Future. In Business 4.0 as a Subject of the Digital Economy (pp. 53-60). Cham: Springer International Publishing.‏
Hajoary, P. K. (2023). Industry 4.0 Maturity and Readiness-A case of a Steel Manufacturing Organization. Procedia Computer Science, 217, 614-619.‏
Hernandez-de-Menendez, M., Morales-Menendez, R., Escobar, C. A., & McGovern, M. (2020). Competencies for industry 4.0. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(4), 1511-1524.‏
Hosseini, S. M. (2022). Achievements of digital transformation in hospitals. Retrieved on 15/5/2023 from: www.mehrnews.com (in Persian)
Jerman, A.., Pejić Bach, M. & Aleksić, A. (2020). Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science, 37(2), 388-402.‏
Kammerlohr, V., Pfeiffer, A., & Uckelmann, D. (2020, February). Digital laboratories for educating the IoT-generation heatmap for digital lab competences. In International Conference on Remote Engineering and Virtual Instrumentation (pp. 3-20). Springer, Cham.‏
Kannan, K. S. P. & Garad, A. (2020). Competencies of quality professionals in the era of industry 4.0: a case study of electronics manufacturer from Malaysia. International Journal of Quality & Reliability Management,‏ 38 (3), 839-871.
Karatas, M., Eriskin, L., Deveci, M., Pamucar, D., & Garg, H. (2022). Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications, 116912.
Katal, A. (2023). Leveraging Fog Computing for Healthcare. In Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-COVID Era (pp. 51-68). Singapore: Springer Nature Singapore.‏
Khan, S., Bizanjo, M., & Uddin, N. (2022). Determining key human capital competencies for industry 4.0: a conceptual framework. Pakistan Journal of Social Research, 4(1), 476-484.‏
Kohl, Markus., Heimeldinger, Carina., Brieke, Michael., & Fottner, Johannes. (2019, July). Competency model for logistics employees in smart factories. International Conference on Applied Human Factors and Ergonomics (pp. 133-145). Springer, Cham.‏
Kotzias, K., Bukhsh, F. A., Arachchige, J. J., Daneva, M., & Abhishta, A. (2022). Industry 4.0 and healthcare: Context, applications, benefits and challenges. IET Software.‏1-54.
Kowal, B., Włodarz, D., Brzychczy, E., & Klepka, A. (2022). Analysis of Employees’ Competencies in the Context of Industry 4.0. Energies, 15(19), 7142.‏
Kumar, S., Srivastava, M., & Prakash, V. (2023). Challenges and Opportunities for Mutual Fund Investment and the Role of Industry 4.0 to Recommend the Individual for Speculation. New Horizons for Industry 4.0 in Modern Business, 69-98.‏
Maliki, Shida (2022). The comprehensive report on digital health of Iran 1400 was published; 1860 billion digital health market size. Retrieved on 15/5/2023 from: www.digiato.com. (in Persian).
Mustapha, I., Khan, N., Qureshi, M. I., Harasis, A. A., & Van, N. T. (2021). Impact of industry 4.0 on healthcare: a systematic literature review (SLR) from the last decade.‏ IJIM, 15(18), 116-128.
Mwanza, J., Telukdarie, A., & Igusa, T. (2023). Impact of industry 4.0 on healthcare systems of low-and middle-income countries: a systematic review. Health and Technology, 1-18.‏
Narandžić, D., Spasojević, I., Lolić, T., Stefanović, D., & Ristić, S. (2021). Human Roles, Competencies and Skills in Industry 4.0: Systematic Literature Review. In Central European Conference on Information and Intelligent Systems (pp. 359-369). Faculty of Organization and Informatics Varazdin.‏
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.‏
Nguyen, A. T. (2022). Industry 4.0 competencies: a model for the Vietnamese workforce. Industrial and Commercial Training, 54(2), 201-219.‏
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.‏
Ow, J. (2021). 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.‏
Palaniswamy, T., & Vellingiri, M. (2023). Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis using Retinal Fundus Images. IEEE Access.‏
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.‏
Pourkhayat, M; Shahmohammadi, A; & Tavakoli Quchani, H. (2023). 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, Journal of North Khorasan University of Medical Sciences, 14(4), 1-14. (in Persian)
Rajendran, P. (2019). Speeding Up Trajectory Planning for Autonomous Robots Operating in Complex Environments. Doctoral dissertation, University of Southern California.
Ravi, C., Tomar, A., & Yadav, T. K. (2023). Industry 4.0: Digitalization and Sustainability Opportunities. International Research Journal of Modernization in Engineering Technology and Science, 210-215.
Rezaeizadeh, M; Ansari, M & Morphi, I. (2013). A practical guide to the research method: interactive management (IM) and Interpretive Structural Modeling (ISM). (1st ed.). Tehran: Jihad Daneshgahi Publications, first edition. (in Persian)
Sacrifice, Ikram. (2017). Holding an information technology panel at the first health technology event in Yazd. Retrieved on 15/5/2023 from: www.farsnews.ir. (in Persian).
Salimova, N. D., Salaeva, M. S., Mirakhmedova Sh, T., & Boltaboev, H. K. (2023). Simulation training in medicine. Journal of Modern Educational Achievements, 3(3), 138-142.‏
Seifi, B. (1400). Digital health, the neglected issue of health care providers. Peyvast, 91, 38.
(in Persian)
Sood, S. K., Rawat, K. S., & Kumar, D. (2022). A visual review of artificial intelligence and Industry 4.0 in healthcare. Computers and Electrical Engineering, 101, 107948.‏
Tavakoli, M., Rezghi shersavar, H., & Nasiripour, A. A. (2017). The Effect of Using Internet of Things on Organizational Performance in Health Related Issues (Case Study: Shahid Rajaee Hospital in Tehran). Journal of healthcare management, 8(2), 45-62. (in Persian)
Tortora, A. M., Maria, A., Iannone, R., & Pianese, C. (2021). A survey study on Industry 4.0 readiness level of Italian small and medium enterprises. Procedia Computer Science, 180, 744-753.‏
Virmani, N., Sharma, S., Kumar, A., & Luthra, S. (2023). Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective. Technological Forecasting and Social Change, 188, 122317.
Vrchota, J., Mařiková, M., Řehoř, P., Rolínek, L., & Toušek, R. (2019). Human resources readiness for industry 4.0. Journal of Open Innovation: Technology, Market, and Complexity, 6(1), 3.‏
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.‏
Weerasinghe, W. P. T. D., Vidanagamachchi, K., & Nanayakkara, L. D. J. F. (2020, March). Employee competencies development framework for industry 4.0 adaptation in the healthcare sector. In Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020
Wu, W.W. & Lee, Y.T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499-507.‏
Wulandari, S. S. (2023). Big Data Concepts, Opportunities, Challenges, and Paradoxes. BULLET: Jurnal Multidisiplin Ilmu, 2(1), 1-5.‏
Yang, G., Pang, Z., Deen, M. J., Dong, M., Zhang, Y. T., Lovell, N., & Rahmani, A. M. (2020). Homecare robotic systems for healthcare 4.0: visions and enabling technologies. IEEE journal of biomedical and health informatics, 24(9), 2535-2549.‏
Zouqiong, H. (2023). Cyber Security Evolution and Conceptualization. Social Science Journal for Advanced Research, 3(1), 1-5.‏
Volume 13, Issue 1
Winter 2023
Pages 89-108

  • Receive Date 26 March 2023
  • Revise Date 22 April 2023
  • Accept Date 23 May 2023