Research Article
BibTex RIS Cite

Endüstri 4.0'ın Gerekliliği, Avantaj Ve Dezavantajları: Türk Lisansüstü Öğrencilerinin Algıları Üzerine Bir Araştırma

Year 2022, Issue: 9, 627 - 637, 20.08.2022

Abstract

Endüstri 4.0 olarak bilinen dördüncü sanayi devrimi, imalat sanayinde ortaya çıkmıştır ve esas olarak otomasyon ve veri değişimine dayalıdır. Büyük bir yenilik gibi göründüğü için devrim olarak adlandırılır ve bu nedenle bu alandaki makaleler Endüstri 4.0’ın yenilik boyutuyla alakalıdır. Literatürden hareketle, Endüstri 4.0’ın toplum ve işgücü üzerindeki etkisinin göz ardı edildiği söylenebilir. Literatürdeki boşluğu doldurmak için bu çalışma, toplumun mevcut veya gelecekteki işgücünü oluşturan lisansüstü öğrencilerin algılarından hareketle Endüstri 4.0'ın gerekliliğini, avantajlarını ve dezavantajlarını analiz etmeyi amaçlamaktadır. Bu amacı gerçekleştirmek için öncelikle Endüstri 4.0'ın gerekliliği, avantajları ve dezavantajları ile ilgili literatür taranmıştır. Sonrasında 202 lisansüstü öğrencisine online anket uygulanmış ve öğrencilerin Endüstri 4.0 konusundaki bilgi düzeyleri ile Endüstri 4.0'ın gerekliliğine yönelik algıları arasındaki ilişkinin varlığını belirlemek üzere korelasyon analizi gerçekleştirilmiştir. Araştırmanın sonuçları, örneklemde yer alan öğrencilerin Endüstri 4.0'ın son derece gerekli olduğuna inandıklarını göstermektedir. Bu çalışmanın bir başka ilginç sonucu da öğrencilerin Endüstri 4.0 konusundaki bilgi düzeylerinin öğrenim gördükleri enstitüye göre farklılık göstermemesine rağmen Endüstri 4.0'ın gerekliliğine olan inançlarının farklı çıkmasıdır. Son olarak, Endüstri 4.0'ın en önemli dezavantajı olarak “yüksek ilk yatırım maliyetleri” öne çıkarken, Endüstri 4.0’ın en önemli avantajını “verimlilik artışı” temsil etmektedir. Endüstri 4.0’ın toplum ve bireyler üzerindeki, mevcut ve potansiyel teknolojik ve ekonomik yönleriyle ilgili çalışmalar olmasına rağmen, bunun sosyal etkisini anlamak konusunda bir eksiklik söz konusudur. Bu boşluğu doldurmak için bu çalışma, lisansüstü öğrencilerin algılarını sorgulayarak ve Endüstri 4.0'ın avantaj ve dezavantajlarını da inceleyerek Endüstri 4.0'ın toplum ve bireyler üzerindeki teknolojik, ekonomik ve sosyal etkilerine bütüncül bir yaklaşımla odaklanmaya çalışmaktadır.

References

  • Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning Context: A Systematic Review. Computers & Education 125, 389-412.
  • Anand, S., Ghalsasi, O., Zhang, B., Goel, A., Reddy, S., Joshi, S., & Morris, G. (2018). November. Additive Manufacturing Simulation Tools in Education. In 2018 World Engineering Education Forum-Global Engineering Deans Council (WEEF-GEDC) (pp. 1-6). IEEE.
  • Bonekamp, L., & Sure, M. (2015). Consequences of Industry 4.0 on Human Labour and Work Organisation. Journal of Business and Media Psychology 6(1), 33-40.
  • Caron, X., Bosua, R., Maynard, S. B., & Ahmad, A. (2016). The Internet of Things (IoT) and Its Impact on Individual Privacy: An Australian Perspective. Computer Law & Security Review 32(1), 4-15.
  • Castillo-Vergara, M., Álvarez-Marín, A., Villavicencio Pinto, E., & Valdez-Juárez, L. E. (2022). Technological Acceptance of Industry 4.0 by Students from Rural Areas. Electronics 11(14), 2109.
  • Cézanne, C., Lorenz, E., & Saglietto, L. (2020). Exploring the Economic and Social Impacts of Industry 4.0. Revue d'économie industrielle 1, 11-35.
  • Chen, W., & Quan-Haase, A. (2020). Big Data Ethics and Politics: Toward New Understandings. Social Science Computer Review 38(1), 3-9.
  • Dawson, D. L., Meyer, J., Lee, E. S., & Pevec, W. C. (2007). Training with Simulation Improves Residents’ Endovascular Procedure Skills. Journal of Vascular Surgery 45(1), 149-154.
  • Doh, S. W., Deschamps, F., & Pinheiro de Lima, E. (2016). Systems Integration in the Lean Manufacturing Systems Value Chain to Meet Industry 4.0 Requirements. In Transdisciplinary Engineering: Crossing Boundaries (pp. 642-650).
  • IOS Press. Feshina, S. S., Konovalova, O. V., & Sinyavsky, N. G. (2019). Industry 4.0—Transition to New Economic Reality. In Industry 4.0: Industrial Revolution of the 21st Century (pp. 111-120).
  • Springer, Cham. Gonzalez, A. G., Alves, M. V., Viana, G. S., Carvalho, L. K., & Basilio, J. C. (2017). Supervisory Control-Based Navigation Architecture: a New Framework for Autonomous Robots in Industry 4.0 Environments. IEEE Transactions on Industrial Informatics 14(4), 1732-1743.
  • Gökalp, E., Şener, U., & Eren, P. E. (2017). Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In International Conference on Software Process Improvement and Capability Determination (pp. 128-142). Springer, Cham. Hofmann, E., & Rüsch, M., 2017. Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, pp.23-34.
  • Išoraitė, M., Gulevičiūtė, G., & Ambrusevič, N. (2022). Impact of Industry 4.0 on business studies. Entrepreneurship and Sustainability Issues 9(3), 64.
  • Karaman Akgül, A., Akbaş, H. E. & Gümüş, A. T. (2018). A Survey of Students’ Perceptions on Industry 4.0 in a Large Public University in Turkey. IJOPEC Publication Limited, Londra, pp.237-247.
  • Kharchenko, V., Illiashenko, O., Boyarchuk, A., Sklyar, V., & Phillips, C. (2017). Emerging curriculum for industry and human applications in Internet of Things. In 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Vol. 2, pp. 918-922). IEEE.
  • Kiel, D., Müller, J. M., Arnold, C., & Voigt, K. I. (2020). Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. In Digital Disruptive Innovation (pp. 231-270).
  • Kuhn, T. S. (2012). The structure of Scientific Revolutions. University of Chicago press. Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering 6(4), 239-242.
  • Lee, E. A. (2008). Cyber Physical Systems: Design Challenges. In 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) (pp. 363-369). IEEE.
  • Lee, J., Kao, H. A., & Yang, S. (2014). Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. Procedia Cirp 16, 3-8.
  • Lu, Y. (2017). Industry 4.0: A Survey on Technologies, Applications and Open Research Issues. Journal of Industrial Information Integration 6, 1-10.
  • Mariani, M., & Borghi, M. (2019). Industry 4.0: A Bibliometric Review of its Managerial Intellectual Structure and Potential Evolution in the Service Industries. Technological Forecasting and Social Change, 149, 119752.
  • Mitrović Veljković, S., Nešić, A., Dudić, B., Gregus, M., Delić, M., & Meško, M. (2020). Emotional Intelligence of Engineering Students as basis for More Successful Learning Process for Industry 4.0. Mathematics 8(8), 1321.
  • Morrar, R., Arman, H., & Mousa, S. (2017). The Fourth Industrial Revolution (Industry 4.0): A Social Innovation Perspective. Technology Innovation Management Review 7(11), 12-20.
  • 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.
  • Mrugalska, B., & Wyrwicka, M. K. (2017). Towards Lean Production in Industry 4.0. Procedia engineering 182, 466-473.
  • Newcombe, R. A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohi, P., Shotton, J., Hodges, S., & Fitzgibbon, A. (2011). Kinectfusion: Real-time Dense Surface Mapping and Tracking. In 2011 10th IEEE International Symposium on Mixed and Augmented Reality (pp. 127-136). IEEE.
  • Nguyen, X. T., & Nguyen, T. T. (2020). Factors Affecting Industry 4.0 Adoption in the Curriculum of University Students in Ho Chi Minh City. The Journal of Asian Finance, Economics and Business 7(10), 303–313.
  • Pattanapairoj, S., Nitisiri, K., & Sethanan, K. (2021). A Gap Study between Employers’ Expectations in Thailand and Current Competence of Master’s Degree Students in Industrial Engineering Under Industry 4.0. Production Engineering Archives 27(1), 50-57.
  • Pedone, G., & Mezgár, I. (2018). Model Similarity Evidence and Interoperability Affinity in Cloud-Ready Industry 4.0 Technologies. Computers in Industry 100, 278-286.
  • Qin, J., Liu, Y., & Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia Cirp 52, 173-178.
  • Reis, M. S., & Gins, G. (2017). Industrial Process Monitoring in the Big Data/Industry 4.0 Era: From Detection, to Diagnosis, to Prognosis. Processes 5(3), 35.
  • Reischauer, G. (2018). Industry 4.0 as Policy-Driven Discourse to Institutionalize Innovation Systems in Manufacturing. Technological Forecasting and Social Change 132, 26-33.
  • Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. Boston Consulting Group 9(1), 54-89.
  • Schumacher, A., Erol, S., & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia Cirp 52, 161-166.
  • Schuster, K., Plumanns, L., Groß, K., Vossen, R., Richert, A., & Jeschke, S. (2015). Preparing for Industry 4.0–Testing Collaborative Virtual Learning Environments with Students and Professional Trainers. International Journal of Advanced Corporate Learning 8(4), 14.
  • Selamat, A., Alias, R. A., Hikmi, S. N., Puteh, M., & Tapsi, S. M. (2017). Higher Education 4.0: Current Status and Readiness in Meeting the Fourth Industrial Revolution Challenges. Redesigning Higher Education towards Industry 4, 23-24.
  • Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm. In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 697-701). IEEE.
  • Skobelev, P. O., & Borovik, S. Y. (2017). On the Way from Industry 4.0 to Industry 5.0: from Digital Manufacturing to Digital Society. Industry 4.0 2(6), 307-311.
  • Sommer, L. (2015). Industrial Revolution-Industry 4.0: Are German Manufacturing Smes the First Victims of This Revolution?. Journal of Industrial Engineering and Management 8(5), 1512-1532.
  • Sony, M. (2018). Industry 4.0 and Lean Management: a Proposed Integration Model and Research Propositions. Production & Manufacturing Research 6(1), 416-432.
  • Tagarian, Z., & Shahgholi Ghahfarokhi, B. (2019). Energy and Delay Aware Massive Access Management in Machine‐to‐Machine Communications. Transactions on Emerging Telecommunications Technologies 30(10), 3618.
  • Thames, L., & Schaefer, D. (2017). Industry 4.0: an Overview of Key Benefits, Technologies, and Challenges. Cybersecurity for Industry 4.0, 1-33.
  • Vieira, M. C. C., Gouveia, R. C., & Dias, A. L. (2022). Interdisciplinary Teaching Activities for High School Integrated to Vocational Education Promoting Reflections on Industry 4.0 Technologies and Their Implication in Society. Journal of Technical Education and Training 14(1), 75-89.
  • Zhanna, M., & Nataliia, V. (2020). Development of Engineering Students Competencies based on Cognitive Technologies in Conditions of Industry 4.0. International Journal of Cognitive Research in Science. Engineering and Education 8(S), 93-101.

The Necessity, Advantages and Disadvantages Of Industry 4.0: A Study Of Turkish Graduate Students’ Perceptions

Year 2022, Issue: 9, 627 - 637, 20.08.2022

Abstract

Fourth industrial revolution, known as Industry 4.0 arose in manufacturing industry and it mainly based on automation and data exchange. It is called as a revolution since it seems like a big innovation and therefore the articles in this area are relevant to its innovation dimension. Based upon the literature it can be said its impact on the society and on the workforce has been ignored. To fill the gap in the literature, this study aims to analyse the necessity, advantages and disadvantages of Industry 4.0 based on the perceptions of graduate students who constitute the existing or future workforce of the society. To accomplish this aim, first the literature about the necessity, advantages, and disadvantages of Industry 4.0 was reviewed. Then an online survey was conducted with 202 graduate students and a correlation analysis was run to identify the existence of relationship between students’ knowledge level in Industry 4.0 and beliefs towards necessity of Industry 4.0. Results of the study indicate that sampled students believe that Industry 4.0 is highly necessary. Another interesting result of this study is that the knowledge level in Industry 4.0 of students does not differ according to the institute where they study, but their belief towards necessity of Industry 4.0 differs. Finally, “increased productivity” represents the most important advantage of Industry 4.0 whereas “high initial investment costs” stands out as the most important disadvantage of Industry 4.0. Although there have been studies regarding to existing and potential technological and economical aspects on society and individuals, there is a lack of understanding of the social impact of it. To fill this gap, this study attempts to focus on the technological, economical, and social impacts of Industry 4.0 on society and individuals with a holistic approach by questioning the perceptions of university students and examining the advantages and disadvantages of Industry 4.0 as well.

References

  • Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning Context: A Systematic Review. Computers & Education 125, 389-412.
  • Anand, S., Ghalsasi, O., Zhang, B., Goel, A., Reddy, S., Joshi, S., & Morris, G. (2018). November. Additive Manufacturing Simulation Tools in Education. In 2018 World Engineering Education Forum-Global Engineering Deans Council (WEEF-GEDC) (pp. 1-6). IEEE.
  • Bonekamp, L., & Sure, M. (2015). Consequences of Industry 4.0 on Human Labour and Work Organisation. Journal of Business and Media Psychology 6(1), 33-40.
  • Caron, X., Bosua, R., Maynard, S. B., & Ahmad, A. (2016). The Internet of Things (IoT) and Its Impact on Individual Privacy: An Australian Perspective. Computer Law & Security Review 32(1), 4-15.
  • Castillo-Vergara, M., Álvarez-Marín, A., Villavicencio Pinto, E., & Valdez-Juárez, L. E. (2022). Technological Acceptance of Industry 4.0 by Students from Rural Areas. Electronics 11(14), 2109.
  • Cézanne, C., Lorenz, E., & Saglietto, L. (2020). Exploring the Economic and Social Impacts of Industry 4.0. Revue d'économie industrielle 1, 11-35.
  • Chen, W., & Quan-Haase, A. (2020). Big Data Ethics and Politics: Toward New Understandings. Social Science Computer Review 38(1), 3-9.
  • Dawson, D. L., Meyer, J., Lee, E. S., & Pevec, W. C. (2007). Training with Simulation Improves Residents’ Endovascular Procedure Skills. Journal of Vascular Surgery 45(1), 149-154.
  • Doh, S. W., Deschamps, F., & Pinheiro de Lima, E. (2016). Systems Integration in the Lean Manufacturing Systems Value Chain to Meet Industry 4.0 Requirements. In Transdisciplinary Engineering: Crossing Boundaries (pp. 642-650).
  • IOS Press. Feshina, S. S., Konovalova, O. V., & Sinyavsky, N. G. (2019). Industry 4.0—Transition to New Economic Reality. In Industry 4.0: Industrial Revolution of the 21st Century (pp. 111-120).
  • Springer, Cham. Gonzalez, A. G., Alves, M. V., Viana, G. S., Carvalho, L. K., & Basilio, J. C. (2017). Supervisory Control-Based Navigation Architecture: a New Framework for Autonomous Robots in Industry 4.0 Environments. IEEE Transactions on Industrial Informatics 14(4), 1732-1743.
  • Gökalp, E., Şener, U., & Eren, P. E. (2017). Development of an Assessment Model for Industry 4.0: Industry 4.0-MM. In International Conference on Software Process Improvement and Capability Determination (pp. 128-142). Springer, Cham. Hofmann, E., & Rüsch, M., 2017. Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, pp.23-34.
  • Išoraitė, M., Gulevičiūtė, G., & Ambrusevič, N. (2022). Impact of Industry 4.0 on business studies. Entrepreneurship and Sustainability Issues 9(3), 64.
  • Karaman Akgül, A., Akbaş, H. E. & Gümüş, A. T. (2018). A Survey of Students’ Perceptions on Industry 4.0 in a Large Public University in Turkey. IJOPEC Publication Limited, Londra, pp.237-247.
  • Kharchenko, V., Illiashenko, O., Boyarchuk, A., Sklyar, V., & Phillips, C. (2017). Emerging curriculum for industry and human applications in Internet of Things. In 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Vol. 2, pp. 918-922). IEEE.
  • Kiel, D., Müller, J. M., Arnold, C., & Voigt, K. I. (2020). Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. In Digital Disruptive Innovation (pp. 231-270).
  • Kuhn, T. S. (2012). The structure of Scientific Revolutions. University of Chicago press. Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering 6(4), 239-242.
  • Lee, E. A. (2008). Cyber Physical Systems: Design Challenges. In 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) (pp. 363-369). IEEE.
  • Lee, J., Kao, H. A., & Yang, S. (2014). Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. Procedia Cirp 16, 3-8.
  • Lu, Y. (2017). Industry 4.0: A Survey on Technologies, Applications and Open Research Issues. Journal of Industrial Information Integration 6, 1-10.
  • Mariani, M., & Borghi, M. (2019). Industry 4.0: A Bibliometric Review of its Managerial Intellectual Structure and Potential Evolution in the Service Industries. Technological Forecasting and Social Change, 149, 119752.
  • Mitrović Veljković, S., Nešić, A., Dudić, B., Gregus, M., Delić, M., & Meško, M. (2020). Emotional Intelligence of Engineering Students as basis for More Successful Learning Process for Industry 4.0. Mathematics 8(8), 1321.
  • Morrar, R., Arman, H., & Mousa, S. (2017). The Fourth Industrial Revolution (Industry 4.0): A Social Innovation Perspective. Technology Innovation Management Review 7(11), 12-20.
  • 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.
  • Mrugalska, B., & Wyrwicka, M. K. (2017). Towards Lean Production in Industry 4.0. Procedia engineering 182, 466-473.
  • Newcombe, R. A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohi, P., Shotton, J., Hodges, S., & Fitzgibbon, A. (2011). Kinectfusion: Real-time Dense Surface Mapping and Tracking. In 2011 10th IEEE International Symposium on Mixed and Augmented Reality (pp. 127-136). IEEE.
  • Nguyen, X. T., & Nguyen, T. T. (2020). Factors Affecting Industry 4.0 Adoption in the Curriculum of University Students in Ho Chi Minh City. The Journal of Asian Finance, Economics and Business 7(10), 303–313.
  • Pattanapairoj, S., Nitisiri, K., & Sethanan, K. (2021). A Gap Study between Employers’ Expectations in Thailand and Current Competence of Master’s Degree Students in Industrial Engineering Under Industry 4.0. Production Engineering Archives 27(1), 50-57.
  • Pedone, G., & Mezgár, I. (2018). Model Similarity Evidence and Interoperability Affinity in Cloud-Ready Industry 4.0 Technologies. Computers in Industry 100, 278-286.
  • Qin, J., Liu, Y., & Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia Cirp 52, 173-178.
  • Reis, M. S., & Gins, G. (2017). Industrial Process Monitoring in the Big Data/Industry 4.0 Era: From Detection, to Diagnosis, to Prognosis. Processes 5(3), 35.
  • Reischauer, G. (2018). Industry 4.0 as Policy-Driven Discourse to Institutionalize Innovation Systems in Manufacturing. Technological Forecasting and Social Change 132, 26-33.
  • Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. Boston Consulting Group 9(1), 54-89.
  • Schumacher, A., Erol, S., & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia Cirp 52, 161-166.
  • Schuster, K., Plumanns, L., Groß, K., Vossen, R., Richert, A., & Jeschke, S. (2015). Preparing for Industry 4.0–Testing Collaborative Virtual Learning Environments with Students and Professional Trainers. International Journal of Advanced Corporate Learning 8(4), 14.
  • Selamat, A., Alias, R. A., Hikmi, S. N., Puteh, M., & Tapsi, S. M. (2017). Higher Education 4.0: Current Status and Readiness in Meeting the Fourth Industrial Revolution Challenges. Redesigning Higher Education towards Industry 4, 23-24.
  • Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm. In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 697-701). IEEE.
  • Skobelev, P. O., & Borovik, S. Y. (2017). On the Way from Industry 4.0 to Industry 5.0: from Digital Manufacturing to Digital Society. Industry 4.0 2(6), 307-311.
  • Sommer, L. (2015). Industrial Revolution-Industry 4.0: Are German Manufacturing Smes the First Victims of This Revolution?. Journal of Industrial Engineering and Management 8(5), 1512-1532.
  • Sony, M. (2018). Industry 4.0 and Lean Management: a Proposed Integration Model and Research Propositions. Production & Manufacturing Research 6(1), 416-432.
  • Tagarian, Z., & Shahgholi Ghahfarokhi, B. (2019). Energy and Delay Aware Massive Access Management in Machine‐to‐Machine Communications. Transactions on Emerging Telecommunications Technologies 30(10), 3618.
  • Thames, L., & Schaefer, D. (2017). Industry 4.0: an Overview of Key Benefits, Technologies, and Challenges. Cybersecurity for Industry 4.0, 1-33.
  • Vieira, M. C. C., Gouveia, R. C., & Dias, A. L. (2022). Interdisciplinary Teaching Activities for High School Integrated to Vocational Education Promoting Reflections on Industry 4.0 Technologies and Their Implication in Society. Journal of Technical Education and Training 14(1), 75-89.
  • Zhanna, M., & Nataliia, V. (2020). Development of Engineering Students Competencies based on Cognitive Technologies in Conditions of Industry 4.0. International Journal of Cognitive Research in Science. Engineering and Education 8(S), 93-101.
There are 44 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Arzu Karaman Akgül 0000-0002-4606-6756

Halil Emre Akbaş 0000-0001-8923-5700

Mehmet Çağlar 0000-0002-6859-8972

Serap Yalçınyiğit 0000-0002-6928-7172

Early Pub Date August 15, 2022
Publication Date August 20, 2022
Acceptance Date August 11, 2022
Published in Issue Year 2022 Issue: 9

Cite

APA Karaman Akgül, A., Akbaş, H. E., Çağlar, M., Yalçınyiğit, S. (2022). The Necessity, Advantages and Disadvantages Of Industry 4.0: A Study Of Turkish Graduate Students’ Perceptions. Uluslararası Sosyal Bilimler Akademi Dergisi, 4(9), 627-637.

16494  16495  16496  16503  16570 16633  16823  16824 17564 19288 2273022803 23495  30847

International Journal of Social Sciences Academy USBAD, Inonu University Faculty of Education Department of Turkish and Social Sciences Education Campus Battalgazi / MALATYA, Phone: 0533 5438933, https://dergipark.org.tr/tr/pub/usbad -- sdurukoglu@gmail.com -- usbaddergi@gmail.com