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YAPAY ZEKÂ VE BİR SONRAKİ ÜRETİM DEVRİMİNİ ŞEKİLLENDİRECEK OLAN GELECEĞİN TEKNOLOJİLERİ: BİR İÇERİK ANALİZİ

Yıl 2021, Cilt: 3 Sayı: 5, 1 - 13, 30.04.2021

Öz

Bu makalede, Dördüncü Sanayi Devrimi'nin yeni teknolojileri, OECD’nin “Bir Sonraki Üretim Devrimi” kavramı açısından tartışılmaktadır. Bu makalenin amacı, önümüzdeki üretim devrimi ve yeni teknolojilerin üretim için önemi hakkında farkındalık yaratmaktır. Son zamanlarda, çeşitli çalışmalar yeni teknolojileri ve son teknolojik devrimi ele almaktadır. Bu çalışmanın diğerlerinden temel farkı, üretime özgü kapsamlı görünümü ve yeni teknolojilerin üretim üzerindeki etkilerine değinmesidir. Bu makale nitel bir yaklaşım içermekte ve içerik analizi yöntemi kullanmaktadır. Yapay zekâ, katmanlı imalat, biyoteknoloji, nanoteknoloji, ileri malzemeler ve blok zincir, bir sonraki üretim devrimi açısından tartışılmaktadır. Son yıllarda üretimin doğası birçok boyutta değişmektedir. Bu teknolojilerin, tüm üretim sürecini ve küresel değer zincirlerini yeniden şekillendirmesinin beklendiği doğrulanmaktadır. Bu teknolojilerin tetiklediği bir sonraki üretim devrimi; istihdam, beceriler, çevre, eşitsizlik, ücretler ve verimlilik üzerinde derin bir etkiye sahip olacaktır. Akıllı fabrikalardaki teknoloji, üretkenliği ve büyümeyi önemli ölçüde artıracaktır. Teknolojik gelişmeler aynı zamanda sektörlerde beceri değişimlerine yol açmaktadır.

Kaynakça

  • Acemoglu, D. and Autor, D., (2010), “Skills, Tasks and Technologies: Implications for Employment and Earnings”, NBER Working Paper No. 16082.
  • Acemoglu, D. and Restrepo, P., (2020), “Robots and Jobs: Evidence from US Labor Markets”, Journal of Political Economy, 128 (6), 2188-2244.
  • Autor, D., (2019), “Work of the Past, Work of the Future”, AEA Papers and Proceedings 2019, 109, 1-32.
  • Autor, D., Levy, F. and Murnane R., (2003), “The Skill-Content of Recent Technological Change: An Empirical Investigation”, Quarterly Journal of Economics, 118, 1279-1333.
  • Autor, D.H. and Dorn, D., (2013), “The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market”, American Economic Review, 103 (5), 1553-97.
  • Banger, G., (2018). Endüstri 4.0 Uygulama ve Dönüşüm Rehberi, Eskişehir: Dorlion Yayınları.
  • BCG (2015). Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, Boston Consulting Group, April 2015.
  • Carlson, R., (2017). Biyoteknolojinin Imkanları, Megatech: 2050’de Teknoloji içinde (Ed.Daniel Franklin), Büsra Seyrek (Çev.), Istanbul: Siyah Kitap.
  • Chiacchio, F., Petropoulos, G. and Pichler, D., (2018), “The Impact of Industrial Robots on EU Employment and Wages: A Local Labour Market Approach”, Bruegel Working Paper, 18 April 2018, Issue 02.
  • Dachs, B., (2018), “The Impact of New Technologies on the Labour Market and the Social Economy”, The STOA Project, the European Parliament's Science and Technology Options Assessment (STOA) Panel.
  • DE (2015). Digital Transformation of European Industry and Enterprises, A report of the Strategic Policy Forum on Digital Entrepreneurship, Digital Europe.
  • De Lorenzo, V. and Danchin, A., (2008), “Synthetic Biology: Discovering New Worlds and New Words: The New and not So New Aspects of This Emerging”, Research Field EMBO Reports, 9 (9), 822-827.
  • DeCanio, S. J., (2016), “Robots and Humans– Complements or Substitutes?”, Journal of Macroeconomics, 49, 280-291.
  • Ford, M., (2018). Robotların Yükselişi: Yapay Zekâ ve İşsiz Bir Gelecek Tehlikesi (Orj.Rise of the Robots: The Threat of a Jobless Future), Cem Duran (Çev.), İstanbul: Kronik Kitap.
  • Goos, M. and Manning, A., (2007), “Lousy and Lovely Jobs: The Rising Polarization of Work in Britain”, Review of Economics and Statistics, 89(1), 118-33.
  • Graetz, G. and Michaels, G., (2015), “Robots at Work”, Centre for Economic Performance, CEP Discussion Paper No 1335.
  • Griliches, Z., (1969), “Capital-skill Complementarity”, Review of Economics and Statistics, 51, 465-468.
  • Haile, G., Srour, I. and Vivarelli, M., (2017), “Imported Technology and Manufacturing Employment in Ethiopia”, Eurasian Business Review, 7 (1), 1-23.
  • Hoedemakers, L., (2017), “The Changing Nature of Employment: How Technological Progress and Robotics Shape the Future of Work”, Lund University, School of Economics and Management, Master Thesis, Lund.
  • IFR (2013). Positive Impact of Industrial Robots on Employment, International Federation of Robotics, Updated in January 2013.
  • IFR (2020). World Robotics 2020 Report, International Federation of Robotics, 24th September 2020, Frankfurt.
  • Leonhard, G., (2016). Teknolojiye Karşı İnsanlık: İnsan ile Makinenin Yaklaşan Çatışması (Orj. Technology vs Humanity), C. Akkartal ve İ. Akkartal (Çev.), İstanbul: Siyah Kitap.
  • Makridakis, S., (2017), “The Forthcoming Artificial Intelligence (AI) Revolution: Its İmpact on Society and Firms”, Futures, 90, 46-60.
  • Michaels, G., Natraj, A. and Van Reenen, J., (2010), “Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years”, NBER Working Paper, No. 16138.
  • Microsoft (2019), OpenAI Forms Exclusive Computing Partnership with Microsoft to Build New Azure aı Supercomputing Technologies, Microsoft News Center, July 22, https://news.microsoft.com/2019/07/22/openai-forms-exclusive-computing-partnership-with-microsoft-to-build-new-azure-ai-supercomputing-technologies/ (Erişim Tarihi: 23 Ocak 2021).
  • Numenta (2020), Numenta Demonstrates 50x Speed Improvements on Deep Learning Networks Using Brain-Derived Algorithms, Numenta Press Release, https://numenta.com/press/ 2020/11/10/ Numenta-Demonstrates-50x-Performance-Acceleration-Deep-Learning-Networks (Erişim Tarihi: 23 Ocak 2021).
  • OECD (2015). Enabling the Next Production Revolution: Issues Paper, DSTI/ IND (2015) 2, Background Document prepared for the Danish Production Council Conference, Shaping the Strategy for Tomorrow's Production, Paris, 26-27 March 2015.
  • OECD (2016a). Science, Technology and Innovation Outlook 2016, Paris: OECD Publishing.
  • OECD (2016b). Enabling the Next Production Revolution: The Future of Manufacturing and Services - Interim Report, Meeting of the OECD Council at Ministerial Level, Paris, 1-2 June 2016.
  • OECD (2017). Tapping Nanotechnology's Potential To Shape The Next Production Revolution, in The Next Production Revolution: Implications for Governments and Business, OECD Publishing, Paris, https://doi.org/10.1787/9789264271036-8-en.
  • OECD (2018). Artificial Intelligence and the Technologies of the Next Production Revolution, in OECD Science, Technology and Innovation Outlook 2018: Adapting to Technological and Societal Disruption, OECD Publishing, Paris, https://doi.org/10.1787/sti_in_outlook-2018-7-en.
  • Ozdoğan, O., (2017). Endüstri 4.0: Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları, 2019, İstanbul: Pusula Yayınları.
  • Oztuna, B., (2017). Endüstri 4.0: Dördüncü Sanayi Devrimi ile Çalışma Yaşamının Geleceği, Ankara: Gece Kitaplığı.
  • Pantanowitz, L. et al., (2020), “An Artificial Intelligence Algorithm for Prostate Cancer Diagnosis in Whole Slide Images of Core Needle Biopsies: A Blinded Clinical Validation and Deployment Study”, The Lancet Digital Health, 2(8), 407-416.
  • Pilat, D. and Nolan, A., (2016), "Benefiting from the next production revolution", in Love, P. (ed.), Debate the Issues: New Approaches to Economic Challenges, OECD Publishing, Paris, https://doi.org/10.1787/9789264264687-22-en.
  • PWC (2017). UK Economic Outlook, March 2017, PricewaterhouseCoopers, available at https://www.pwc.co.uk/economic-services/ukeo/pwc-uk-economic-outlook-full-report-march-2017-v2.pdf.
  • Schlogl, L. and Sumner, A., (2018), “The Rise of the Robot Reserve Army: Automation and the Future of Economic Development, Work, and wages in Developing Countries”, Center for Global Development Working Paper, (487).
  • Schwab, K., (2016). Dördüncü Sanayi Devrimi, Z. Dicleli (Çev.), İstanbul: Optimist Kitap.
  • Schwab, K., (2018). Dördüncü Sanayi Devrimini Şekillendirmek, N. Özata (Çev.), İstanbul: Optimist Kitap.
  • Soul Machines (2018), Digital Gene Pool Makes It Easy to Produce Highly Realistic Digital Humans in Minutes, Media Release, December 13, https://www.soulmachines.com/2018/12/hot-off-the-press-soul-machines-launches-digital-dna-a-critical-component-in-the-future-of-customer-experience/ (Erişim Tarihi: 23 Ocak 2021).
  • Stokes, J. et al., (2020), “A Deep Learning Approach to Antibiotic Discovery”, Cell, 180 (4), 688-702.
  • Sumitomo (2020), Sumitomo Dainippon Pharma Co., https://www.ds-pharma.com/ir/news/2020/ 20200130.html (Erişim Tarihi: 23 Ocak 2021).
  • TÜBİTAK (2016). Yeni Sanayi Devrimi: Akıllı Üretim Sistemleri Teknoloji Yol Haritası, https://www.tubitak.gov.tr/sites/default/files/akilli_uretim_sistemleri_tyh_ v27 aralik2016.pdf.
  • WEF (2017). The Global Risks Report 2017, World Economic Forum, Insight Report, 12 th Edition.
  • WEF (2020a). Top 10 Emerging Technologies of 2020, World Economic Forum, Special Report, November 2020.
  • WEF (2020b). The Future of Jobs Report, World Economic Forum, October 2020.
  • Welch, F., (1970)., “Education in production”, Journal of Political Economy, 78, 35–59.

ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS

Yıl 2021, Cilt: 3 Sayı: 5, 1 - 13, 30.04.2021

Öz

In this paper, emerging technologies of the Fourth Industrial Revolution are discussed in terms of OECD’s concept of “The Next Production Revolution”. The purpose of this paper is to raise awareness for the forthcoming production revolution and the significance of new technologies for production. Recently, various studies are addressing new technologies and the latest technological revolution. The main difference of this study is its comprehensive view unique to the production and it addresses the effects of new technologies on production. This paper includes a qualitative approach and uses a content analysis method. Artificial intelligence, additive manufacturing, biotechnology, nanotechnology, advanced materials and blockchain are discussed in terms of the next production revolution. The nature of production has been transformed in many dimensions over recent years. We confirm these technologies are expected to reshape the entire production process and global value chains. The next production revolution triggered by these technologies will have a profound impact on employment, skills, environment, inequality, wages, and productivity. Technology in smart factories significantly boosts productivity and growth. Technological developments also lead to skill shifts in the industries.

Kaynakça

  • Acemoglu, D. and Autor, D., (2010), “Skills, Tasks and Technologies: Implications for Employment and Earnings”, NBER Working Paper No. 16082.
  • Acemoglu, D. and Restrepo, P., (2020), “Robots and Jobs: Evidence from US Labor Markets”, Journal of Political Economy, 128 (6), 2188-2244.
  • Autor, D., (2019), “Work of the Past, Work of the Future”, AEA Papers and Proceedings 2019, 109, 1-32.
  • Autor, D., Levy, F. and Murnane R., (2003), “The Skill-Content of Recent Technological Change: An Empirical Investigation”, Quarterly Journal of Economics, 118, 1279-1333.
  • Autor, D.H. and Dorn, D., (2013), “The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market”, American Economic Review, 103 (5), 1553-97.
  • Banger, G., (2018). Endüstri 4.0 Uygulama ve Dönüşüm Rehberi, Eskişehir: Dorlion Yayınları.
  • BCG (2015). Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, Boston Consulting Group, April 2015.
  • Carlson, R., (2017). Biyoteknolojinin Imkanları, Megatech: 2050’de Teknoloji içinde (Ed.Daniel Franklin), Büsra Seyrek (Çev.), Istanbul: Siyah Kitap.
  • Chiacchio, F., Petropoulos, G. and Pichler, D., (2018), “The Impact of Industrial Robots on EU Employment and Wages: A Local Labour Market Approach”, Bruegel Working Paper, 18 April 2018, Issue 02.
  • Dachs, B., (2018), “The Impact of New Technologies on the Labour Market and the Social Economy”, The STOA Project, the European Parliament's Science and Technology Options Assessment (STOA) Panel.
  • DE (2015). Digital Transformation of European Industry and Enterprises, A report of the Strategic Policy Forum on Digital Entrepreneurship, Digital Europe.
  • De Lorenzo, V. and Danchin, A., (2008), “Synthetic Biology: Discovering New Worlds and New Words: The New and not So New Aspects of This Emerging”, Research Field EMBO Reports, 9 (9), 822-827.
  • DeCanio, S. J., (2016), “Robots and Humans– Complements or Substitutes?”, Journal of Macroeconomics, 49, 280-291.
  • Ford, M., (2018). Robotların Yükselişi: Yapay Zekâ ve İşsiz Bir Gelecek Tehlikesi (Orj.Rise of the Robots: The Threat of a Jobless Future), Cem Duran (Çev.), İstanbul: Kronik Kitap.
  • Goos, M. and Manning, A., (2007), “Lousy and Lovely Jobs: The Rising Polarization of Work in Britain”, Review of Economics and Statistics, 89(1), 118-33.
  • Graetz, G. and Michaels, G., (2015), “Robots at Work”, Centre for Economic Performance, CEP Discussion Paper No 1335.
  • Griliches, Z., (1969), “Capital-skill Complementarity”, Review of Economics and Statistics, 51, 465-468.
  • Haile, G., Srour, I. and Vivarelli, M., (2017), “Imported Technology and Manufacturing Employment in Ethiopia”, Eurasian Business Review, 7 (1), 1-23.
  • Hoedemakers, L., (2017), “The Changing Nature of Employment: How Technological Progress and Robotics Shape the Future of Work”, Lund University, School of Economics and Management, Master Thesis, Lund.
  • IFR (2013). Positive Impact of Industrial Robots on Employment, International Federation of Robotics, Updated in January 2013.
  • IFR (2020). World Robotics 2020 Report, International Federation of Robotics, 24th September 2020, Frankfurt.
  • Leonhard, G., (2016). Teknolojiye Karşı İnsanlık: İnsan ile Makinenin Yaklaşan Çatışması (Orj. Technology vs Humanity), C. Akkartal ve İ. Akkartal (Çev.), İstanbul: Siyah Kitap.
  • Makridakis, S., (2017), “The Forthcoming Artificial Intelligence (AI) Revolution: Its İmpact on Society and Firms”, Futures, 90, 46-60.
  • Michaels, G., Natraj, A. and Van Reenen, J., (2010), “Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years”, NBER Working Paper, No. 16138.
  • Microsoft (2019), OpenAI Forms Exclusive Computing Partnership with Microsoft to Build New Azure aı Supercomputing Technologies, Microsoft News Center, July 22, https://news.microsoft.com/2019/07/22/openai-forms-exclusive-computing-partnership-with-microsoft-to-build-new-azure-ai-supercomputing-technologies/ (Erişim Tarihi: 23 Ocak 2021).
  • Numenta (2020), Numenta Demonstrates 50x Speed Improvements on Deep Learning Networks Using Brain-Derived Algorithms, Numenta Press Release, https://numenta.com/press/ 2020/11/10/ Numenta-Demonstrates-50x-Performance-Acceleration-Deep-Learning-Networks (Erişim Tarihi: 23 Ocak 2021).
  • OECD (2015). Enabling the Next Production Revolution: Issues Paper, DSTI/ IND (2015) 2, Background Document prepared for the Danish Production Council Conference, Shaping the Strategy for Tomorrow's Production, Paris, 26-27 March 2015.
  • OECD (2016a). Science, Technology and Innovation Outlook 2016, Paris: OECD Publishing.
  • OECD (2016b). Enabling the Next Production Revolution: The Future of Manufacturing and Services - Interim Report, Meeting of the OECD Council at Ministerial Level, Paris, 1-2 June 2016.
  • OECD (2017). Tapping Nanotechnology's Potential To Shape The Next Production Revolution, in The Next Production Revolution: Implications for Governments and Business, OECD Publishing, Paris, https://doi.org/10.1787/9789264271036-8-en.
  • OECD (2018). Artificial Intelligence and the Technologies of the Next Production Revolution, in OECD Science, Technology and Innovation Outlook 2018: Adapting to Technological and Societal Disruption, OECD Publishing, Paris, https://doi.org/10.1787/sti_in_outlook-2018-7-en.
  • Ozdoğan, O., (2017). Endüstri 4.0: Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları, 2019, İstanbul: Pusula Yayınları.
  • Oztuna, B., (2017). Endüstri 4.0: Dördüncü Sanayi Devrimi ile Çalışma Yaşamının Geleceği, Ankara: Gece Kitaplığı.
  • Pantanowitz, L. et al., (2020), “An Artificial Intelligence Algorithm for Prostate Cancer Diagnosis in Whole Slide Images of Core Needle Biopsies: A Blinded Clinical Validation and Deployment Study”, The Lancet Digital Health, 2(8), 407-416.
  • Pilat, D. and Nolan, A., (2016), "Benefiting from the next production revolution", in Love, P. (ed.), Debate the Issues: New Approaches to Economic Challenges, OECD Publishing, Paris, https://doi.org/10.1787/9789264264687-22-en.
  • PWC (2017). UK Economic Outlook, March 2017, PricewaterhouseCoopers, available at https://www.pwc.co.uk/economic-services/ukeo/pwc-uk-economic-outlook-full-report-march-2017-v2.pdf.
  • Schlogl, L. and Sumner, A., (2018), “The Rise of the Robot Reserve Army: Automation and the Future of Economic Development, Work, and wages in Developing Countries”, Center for Global Development Working Paper, (487).
  • Schwab, K., (2016). Dördüncü Sanayi Devrimi, Z. Dicleli (Çev.), İstanbul: Optimist Kitap.
  • Schwab, K., (2018). Dördüncü Sanayi Devrimini Şekillendirmek, N. Özata (Çev.), İstanbul: Optimist Kitap.
  • Soul Machines (2018), Digital Gene Pool Makes It Easy to Produce Highly Realistic Digital Humans in Minutes, Media Release, December 13, https://www.soulmachines.com/2018/12/hot-off-the-press-soul-machines-launches-digital-dna-a-critical-component-in-the-future-of-customer-experience/ (Erişim Tarihi: 23 Ocak 2021).
  • Stokes, J. et al., (2020), “A Deep Learning Approach to Antibiotic Discovery”, Cell, 180 (4), 688-702.
  • Sumitomo (2020), Sumitomo Dainippon Pharma Co., https://www.ds-pharma.com/ir/news/2020/ 20200130.html (Erişim Tarihi: 23 Ocak 2021).
  • TÜBİTAK (2016). Yeni Sanayi Devrimi: Akıllı Üretim Sistemleri Teknoloji Yol Haritası, https://www.tubitak.gov.tr/sites/default/files/akilli_uretim_sistemleri_tyh_ v27 aralik2016.pdf.
  • WEF (2017). The Global Risks Report 2017, World Economic Forum, Insight Report, 12 th Edition.
  • WEF (2020a). Top 10 Emerging Technologies of 2020, World Economic Forum, Special Report, November 2020.
  • WEF (2020b). The Future of Jobs Report, World Economic Forum, October 2020.
  • Welch, F., (1970)., “Education in production”, Journal of Political Economy, 78, 35–59.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makaleleri
Yazarlar

İbrahim Dağlı 0000-0001-8199-821X

Levent Kösekahyaoğlu

Yayımlanma Tarihi 30 Nisan 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 3 Sayı: 5

Kaynak Göster

APA Dağlı, İ., & Kösekahyaoğlu, L. (2021). ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS. Uygulamalı Sosyal Bilimler Ve Güzel Sanatlar Dergisi, 3(5), 1-13.
AMA Dağlı İ, Kösekahyaoğlu L. ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS. SOSGÜZ. Nisan 2021;3(5):1-13.
Chicago Dağlı, İbrahim, ve Levent Kösekahyaoğlu. “ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS”. Uygulamalı Sosyal Bilimler Ve Güzel Sanatlar Dergisi 3, sy. 5 (Nisan 2021): 1-13.
EndNote Dağlı İ, Kösekahyaoğlu L (01 Nisan 2021) ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS. Uygulamalı Sosyal Bilimler ve Güzel Sanatlar Dergisi 3 5 1–13.
IEEE İ. Dağlı ve L. Kösekahyaoğlu, “ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS”, SOSGÜZ, c. 3, sy. 5, ss. 1–13, 2021.
ISNAD Dağlı, İbrahim - Kösekahyaoğlu, Levent. “ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS”. Uygulamalı Sosyal Bilimler ve Güzel Sanatlar Dergisi 3/5 (Nisan 2021), 1-13.
JAMA Dağlı İ, Kösekahyaoğlu L. ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS. SOSGÜZ. 2021;3:1–13.
MLA Dağlı, İbrahim ve Levent Kösekahyaoğlu. “ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS”. Uygulamalı Sosyal Bilimler Ve Güzel Sanatlar Dergisi, c. 3, sy. 5, 2021, ss. 1-13.
Vancouver Dağlı İ, Kösekahyaoğlu L. ARTIFICIAL INTELLIGENCE AND FUTURE TECHNOLOGIES THAT WILL SHAPE THE NEXT PRODUCTION REVOLUTION: A CONTENT ANALYSIS. SOSGÜZ. 2021;3(5):1-13.

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