مدلسازی شایستگی های نیروی کار در صنایع تولیدی انقلاب صنعتی چهارم
محورهای موضوعی : مدیریت صنعتی
علی میرزائی اسلاملو
1
,
مجيد باقرزاده خواجه
2
,
مرتضی محمودزاده
3
,
مجتبی رمضانی
4
1 - دانشجوی دکتری گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران.
2 - استادیار گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران (نویسنده مسئول)
3 - استادیار گروه مدیریت، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
4 - دانشیار گروه مدیریت، واحد بناب، دانشگاه آزاد اسلامی، بناب، ایران
کلید واژه: شایستگی های نیروی کار, انقلاب صنعتی چهارم, مهارت های فکری, مهارت های فنی,
چکیده مقاله :
انقلاب صنعتی چهارم چالش جدیدی را برای افراد به عنوان نیروی کار ایجاد کرده است، زیرا فناوری¬های جدید به مهارت¬ها و شایستگی¬های جدید نیاز دارند. بر همین اساس هدف این پژوهش مدلسازی شایستگی¬های نیروی کار در صنایع تولیدی انقلاب صنعتی چهارم، روش تحقیق آن توصیفی- مدلسازی و جامعه آماری آن شامل دو بخش خبرگان و مدیران شرکت¬های تولیدی در استان آذربایجان شرقی می¬باشد. در این پژوهش 17 نفر از خبرگان در بخش اول مشارکت داشته و 175 نفر از مدیران شرکت-های تولیدی بزرگ در بخش دوم پژوهش به پرسشنامه¬ها پاسخ داده¬اند. برای تجزیه و تحلیل داده¬ها تحلیل داده¬ها از مدلسازی ساختاری- تفسیری و مدلسازی مسیری- ساختاری بر اساس رویکرد حداقل مربعات جزئی بهره گرفته می¬شود. یافته¬های نشان می¬دهد که مدل شایستگی¬های نسل چهارم نیروی کار در صنایع تولیدی در پنج سطح قرار می¬گیرد. شایستگی مهارت¬های فکری بیشترین تأثیر¬گذاری و مهارت¬های فنی بیشترین تأثیرپذیری را در مدل شایستگی¬های نیروی کار در صنایع تولیدی دارند. آزمون مدل تدوین شده در بین شرکت¬ها نشان دهنده روایی و پایایی مناسب مدل تبیین شده است. بررسی ضرایب مسیر نشان دهنده تأیید روابط مستقیم و غیر مستقیم مولفه¬های اصلی شایستگی¬های نسل چهارم نیروی کار و تأیید معنی¬داری این روابط در شرکت-های تولیدی می¬باشد.
The fourth industrial revolution has created a new challenge for people as a workforce, because new technologies require new skills and competencies. Based on this, the purpose of this research is to model the competencies of the workforce in the manufacturing industries of the fourth industrial revolution, its research method is descriptive-modelling, and its statistical population includes two sections of experts and managers of manufacturing companies in East Azerbaijan province. In this research, 17 experts participated in the first part and 175 managers of large manufacturing companies answered the questionnaires in the second part of the research. For data analysis, data analysis uses structural-interpretive modeling and path-structural modeling based on partial least squares approach. The findings show that the competency model of the fourth generation workforce in manufacturing industries is placed in five levels. Competence of intellectual skills has the most influence and technical skills have the most influence in the model of workforce competencies in manufacturing industries. The test of the compiled model among the companies shows the appropriate validity and reliability of the explained model. Examining the path coefficients shows the confirmation of the direct and indirect relationships of the main components of the competencies of the fourth generation workforce and the significant confirmation of these relationships in manufacturing companies.
1. Ada, N., Ilic, D., & Sagnak, M. (2021). A framework for new workforce skills in the era of industry 4.0. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 771.
2. Agbaji, D., Lund, B., & Mannuru, N. R. (2023). Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society. arXiv preprint arXiv:2308.02030.
3. Ahuett-Garza, H., & Kurfess, T. (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing. Manufacturing letters, 15, 60-63.
4. Akyazi, T., Goti, A., Oyarbide, A., Alberdi, E., & Bayon, F. (2020). A guide for the food industry to meet the future skills requirements emerging with industry 4.0. Foods, 9(4), 492.
5. Alhloul, A., & Kiss, E. (2022). Industry 4.0 as a challenge for the skills and competencies of the labor force: A bibliometric review and a survey. Sci, 4(3), 34.
6. Angrisani, L., Arpaia, P., Bonavolonta, F., & Moriello, R. S. L. (2018). Academic fablabs for industry 4.0: Experience at University of naples federico II. IEEE Instrumentation & Measurement Magazine, 21(1), 6-13.
7. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805.
8. Baena, F., Guarin, A., Mora, J., Sauza, J., & Retat, S. (2017). Learning factory: The path to industry 4.0. Procedia manufacturing, 9, 73-80.
9. Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with applications, 39(9), 7961-7967.
10. Blayone, T. J., & VanOostveen, R. (2021). Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness. International Journal of Computer Integrated Manufacturing, 34(1), 1-19.
11. Burris, E. R. (2012). The risks and rewards of speaking up: Managerial responses to employee voice. Academy of management journal, 55(4), 851-875.
12. Cagliano, R., Canterino, F., Longoni, A., & Bartezzaghi, E. (2019). The interplay between smart manufacturing technologies and work organization: The role of technological complexity. International Journal of Operations and Production Management, 39, 913–934.
13. Carter, D. (2017). Creativity in action–the information professional is poised to exploit the fourth industrial revolution: The business information survey 2017. Business Information Review, 34(3), 122-137.
14. Caruso, L. (2018). Digital innovation and the fourth industrial revolution: epochal social changes?. Ai & Society, 33(3), 379-392.
15. Cimini, C., Pirola, F., Pinto, R., & Cavalieri, S. (2020). A human-in-the-loop manufacturing control architecture for the next generation of production systems. Journal of Manufacturing Systems, 54, 258–271.
16. Dahlmann, P., & Kunkel, M. (2017). Human factor as a base for competitive metallurgical industry in Germany. Chernye metally, (2), 65-66.
17. Deloitte, A. E. (2018). Preparing Tomorrow's Workforce For The Fourth Industrial Revolution. For business: A framework for action. Recuperado em, 13.
18. Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CiRp, 54, 13-18.
19. Fareri, S., Fantoni, G., Chiarello, F., Coli, E., & Binda, A. (2020). Estimating Industry 4.0 impact on job profiles and skills using text mining. Computers in industry, 118, 103222.
20. Fomunyam, K. G. (2019). Education and the Fourth Industrial Revolution: Challenges and possibilities for engineering education. International Journal of Mechanical Engineering and Technology, 10(8), 271-284.
21. Galati, F., & Bigliardi, B. (2019). Industry 4.0: Emerging themes and future research avenues using a text mining approach. Computers in Industry, 109, 100–113.
22. Garbie, I. H. (2017). Incorporating sustainability/sustainable development concepts in teaching industrial systems design courses. Procedia Manufacturing, 8, 417-423.
23. Gehrke, L., Kühn, A. T., Rule, D., Moore, P., Bellmann, C., Siemes, S., ... & Standley, M. (2015). Industry 4.0. A discussion of qualifications and skills in the factory of the future: A German and American perspective. Titelbild: VDI-Haus Düsseldorf.
24. Gitelman, L. D., & Kozhevnikov, M. V. (2018). Paradigm of managerial education for a technological breakthrough in the economy.
25. Gökalp, E., Şener, U., & Eren, P. E. (2017). Development of an assessment model for industry 4.0: industry 4.0-MM. In Software Process Improvement and Capability Determination: 17th International Conference, SPICE 2017, Palma de Mallorca, Spain, October 4–5, 2017, Proceedings (pp. 128-142). Springer International Publishing.
26. Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic approach for human resource management in Industry 4.0. Procedia Cirp, 54, 1-6.
27. 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, 1511-1524.
28. Islam, M. A. (2022). Industry 4.0: Skill set for employability. Social Sciences & Humanities Open, 6(1), 100280.
29. Jerman, A., Peji´c Bach, M., & Aleksi´c, A. (2020). Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science, 37(2), 388–402.
30. Kazancoglu, Y., & Ozkan-Ozen, Y. D. (2018). Analyzing Workforce 4.0 in the Fourth Industrial Revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of enterprise information management.
31. Kergroach, S. (2017). Industry 4.0: New challenges and opportunities for the labour market. Форсайт, 11(4 (eng)), 6-8.
32. Khaitan, S. K., & McCalley, J. D. (2014). Design techniques and applications of cyberphysical systems: A survey. IEEE systems journal, 9(2), 350-365.
33. Kipper, L. M., Iepsen, S., Dal Forno, A. J., Frozza, R., Furstenau, L., Agnes, J., & Cossul, D. (2021). Scientific mapping to identify competencies required by industry 4.0. Technology in Society, 64, 101454.
34. Liao, Y., Loures, E. R., Deschamps, F., Brezinski, G., & Venâncio, A. (2018). The impact of the fourth industrial revolution: a cross-country/region comparison. Production, 28.
35. Liboni, L. B., Cezarino, L. O., Jabbour, C. J. C., Oliveira, B. G., & Stefanelli, N. O. (2019). Smart industry and the pathways to HRM 4.0: Implications for SCM. Supply Chain Management, 24(1), 124–146.
36. Liu, H. C., Qin, J. T., Mao, L. X., & Zhang, Z. Y. (2015). Personnel selection using interval 2‐tuple linguistic VIKOR.
37. Liu, Y., & Xu, X. (2017). Industry 4.0 and cloud manufacturing: A comparative analysis. Journal of Manufacturing Science and Engineering, 139(3).
38. Lorenz, M., Rüßmann, M., Strack, R., Lueth, K. L., & Bolle, M. (2015). Man and machine in industry 4.0: How will technology transform the industrial workforce through 2025. The Boston Consulting Group, 2.
39. Matt, D. T., Orzes, G., Rauch, E., & Dallasega, P. (2020). Urban production – A socially sustainable factory concept to overcome shortcomings of qualified workers in smart SMEs. Computers and Industrial Engineering, 139 40. Maynard, A. D. (2015). Navigating the fourth industrial revolution. Nature nanotechnology, 10(12), 1005-1006.
41. Motyl, B., Baronio, G., Uberti, S., Speranza, D., & Filippi, S. (2017). How will change the future engineers’ skills in the Industry 4.0 framework? A questionnaire survey. Procedia manufacturing, 11, 1501-1509.
42. Mourtzis, D. (2018). Development of skills and competences in manufacturing towards education 4.0: A teaching factory approach. In Proceedings of 3rd International Conference on the Industry 4.0 Model for Advanced Manufacturing: AMP 2018 3 (pp. 194-210). Springer International Publishing.
43. Nyikes, Z. (2018). Contemporary digital competency review. Interdisciplinary Description of Complex Systems: INDECS, 16(1), 124-131.
44. Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of intelligent manufacturing, 31, 127-182.
45. Pacaux-Lemoine, M.-P., Trentesaux, D., Rey, G. Z., & Millot, P. (2017). Designing intelligent manufacturing systems through human-machine cooperation principles: A human-centered approach. Computers & Industrial Engineering, 111, 581–595.
46. Perini, S., Luglietti, R., Margoudi, M., Oliveira, M., & Taisch, M. (2017). Training advanced skills for sustainable manufacturing: A digital serious game. Procedia Manufacturing, 11, 1536-1543.
47. Pontes, J., Geraldes, C. A. S., Fernandes, F. P., Sakurada, L., Rasmussen, A. L., Christiansen, L., Hafner-Zimmermann, S., Delaney, K., & Leitao, ˜ P. (2021). Relationship between Trends, Job Profiles, Skills and Training Programs in the Factory of the Future. 2021 22nd IEEE International Conference on Industrial Technology (ICIT), 1, 1240–1245.
48. Ramzi, N., Ahmad, H., & Zakaria, N. (2019). A conceptual model on people approach and smart manufacturing. International Journal of Supply Chain Management, 8(4), 1102-1107.
49. Rao, S. K., & Prasad, R. (2018). Impact of 5G technologies on industry 4.0. Wireless personal communications, 100, 145-159.
50. Rifkin, J. (2011). The third industrial revolution: how lateral power is transforming energy, the economy, and the world. Macmillan.
51. Romero, D., Stahre, J., & Taisch, M. (2020). The Operator 4.0: Towards socially sustainable factories of the future. Computers & Industrial Engineering, 139, 106128.
52. Sakhapov, R., & Absalyamova, S. (2018). Fourth industrial revolution and the paradigm change in engineering education. In MATEC web of conferences (Vol. 245, p. 12003). EDP Sciences.
53. Sakurada, L., Geraldes, C. A. S., Fernandes, F. P., Pontes, J., & Leit˜ ao, P. (2020). Analysis of new job profiles for the factory of the future. International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, 262–273.
54. Schwab, K. (2016). The Fourth Industrial Revolution: what it means, how to respond, Foreign. Switzerland:(WEF) in Davos.
55. Schwab, K., & Samans, R. (2016, January). The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution. In World Economic Forum (pp. 1-32).
56. Sharp, M., Ak, R., & Hedberg Jr, T. (2018). A survey of the advancing use and development of machine learning in smart manufacturing. Journal of manufacturing systems, 48, 170-179.
57. Short, M. N., & Keller-Bell, Y. (2019). Essential skills for the 21st century workforce. In Handbook of research on promoting higher-order skills and global competencies in life and work (pp. 134-147). IGI Global.
58. Siemieniuch, C. E., Sinclair, M. A., & Henshaw, M. D. (2015). Global drivers, sustainable manufacturing and systems ergonomics. Applied ergonomics, 51, 104-119.
59. Sony, M., & Naik, S. (2019). Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. Benchmarking: An International Journal.
60. Sony, M., Antony, J., & Douglas, J. A. (2020). Essential ingredients for the implementation of Quality 4.0: A narrative review of literature and future directions for research. TQM Journal, 32(4), 779–793.
61. Vila, C., Ugarte, D., Ríos, J., & Abellán, J. V. (2017). Project-based collaborative engineering learning to develop Industry 4.0 skills within a PLM framework. Procedia manufacturing, 13, 1269-1276.
62. Wahl, M. (2015). Strategic factor analysis for industry 4.0. Journal of security and sustainability issues, 5(2), 241-247. 63. Wang, J., Sun, Y., Zhang, W., Thomas, I., Duan, S., & Shi, Y. (2016). Large-scale online multitask learning and decision making for flexible manufacturing. IEEE Transactions on Industrial Informatics, 12(6), 2139-2147.
64. Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International journal of financial research, 9(2), 90-95.
65. Xu, X., & Hua, Q. (2017). Industrial big data analysis in smart factory: Current status and research strategies. Ieee Access, 5, 17543-17551.