Industry 4.0 Performances of OECD Countries: A Data Envelope Analysis

Purpose – The aim of the study is to make a comparative analysis of Industry 4.0 performances of OECD countries. Design/methodology/approach – In this study, Data Envelopment Analysis, Bootstrap Data Envelopment Analysis and Malmquist Total Factor Efficiency Index methods were used for 2013, 2014, 2015 by using Industry 4.0 indicators of 25 OECD countries whose data were available. Findings – As a result of the study, while Austria, Belgium, Czech Republic, Denmark, France, Germany, Japan, S. Korea and Sweden were generally effective and there was no overall improvement in the country's efficiency scores over time, some countries such as Canada, Latvia, Slovakia, Estonia and Sweden, had increased their effectiveness in time. Discussion – Considering the studies in which the comparative analysis of Industry 4.0 performances in the countries was analyzed, it was reached that the variables used in the studies and the results obtained from the analysis were similar. In this respect, the findings of the study were consistent to the literature.

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Armentia, J., C.-Mansilla, D. and Ipiña, D. L., (2012). Fighting Against Vampire Appliances Through Eco-aware Things. Sixth International Conference on Innovative Mobile and Internet Services. Ubiquitous Computing. https://doi.org/10.1109/imis.2012.112

Ataman, A. C. (2018). Savunma Sanayinde Endüstri 4.0 Olgunluk Parametrelerinin Tereddütlü Bulanık AHP Yöntemi ile Önceliklendirilmesi, Yayımlanmamış Yüksek Lisans Tezi, Bahçeşehir Üniversitesi, İstanbul.

Banger, G. (2017). Endüstri 4.0 Extra, Dorlion Yayınları, 1.Baskı, Ankara.

Banker, R. D., Charnes, A., and Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.

Brettel, M., Friederichsen, N., Keller, M., and Rosenberg, M. (2014). How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0, Perspective. International journal of mechanical, industrial science and engineering, 8(1), 37-44.

Bulut, E., and Akçacı., T. (2017). Endüstri 4.0 ve İnovasyon Göstergeleri Kapsamında Türkiye Analizi, ASSAM Uluslararası Hakemli Dergi, 7(1), 50-72.

Charnes, A., W. W. Cooper, and E. Rhodes. (1978). “Measuring the Efficiency of Decision-Making Units.” European Journal of Operational Research 2 (6): 429–444.

Gilchrist, A. (2016). Industry 4.0: The Industrial Internet of Things, A press.

Görçün, Ö. F. (2016). Dördüncü Endüstri Devrimi, Beta Yayımcılık, İstanbul.

Gülel, F. E. (2013). Avrupa Birliği Ülkeleri Arasında İnternet Kullanım Etkinliği: Simar ve Wilson Yaklaşımı, Dogus University Journal, 14(1), 65-72. https://doi.org/10.31671/dogus.2018.96

Hermann, M., Pentek, T., and Otto, B. (2015). Design Principles for Industrie 4.0 Scenarios: A Aiterature Review. Technische Universität Dortmund, Dortmund.

Howson, C. (2014). Successful Business Intelligence: Unlock the Value of BI and Big Data, Second Edition. USA: McGraw-Hill Education, 3-5.

https://databank.worldbank.org/source/world-development-indicators. (accessed 19.12.2019).

Kara, O., Kayacan, B., and Eratilla, M. (2013). Düzce İli Devlet Orman İşletme Müdürlüklerinin Parametrik Olmayan Yöntemlerle Etkinliğinin Analizi, International Journal of Economic & Social Research, 9(1), 97- 123.

Kaufmann, T. (2015). Geschäftsmodelle in Industrie 4.0 und dem Internet der Dinge: der Weg vom Anspruch in die Wirklichkeit, Springer-Verlag. https://doi.org/10.1007/978-3-658-10272-2

Kocsi, B., and Oláh, J. (2017). Potential Connections of Unique Manufacturing and Industry 4.0, LogForum, 13(4).

Lee, I., and Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises, Business Horizons, 58(4), 431-440. https://doi.org/10.1016/j.bushor.2015.03.008

Lee, J. (2015). Smart Factory Systems, Informatik Spektrum, 38(3), 1-9.

Lorica, B., and Loukides, M. K. (2016). What Is Artificial Intelligence?, O'Reilly Media, Incorporated.

Manners-Bell, J., and Lyon, K. (2012). The Implications of 3D Printing for the Global Logistics Industry, Transport Intelligence, 1-5.

Nissenbaum, H. (2005). Where Computer Security Meets National Security, Ethics and Information Technology, 7(2), 61-73. https://doi.org/10.1007/s10676-005-4582-3

Obitko, M. and Jirkovský, V. (2015, September). Big Data Semantics in Industry 4.0. In International conference on industrial applications of holonic and multi-agent systems (pp. 217-229), Springer, Cham. https://doi.org/10.1007/978-3-319-22867-9_19.

Ohlhorst, F. J. (2012). Big Data Analytics: Turning Big Data Into Big Money (Vol. 65), John Wiley ve Sons. https://doi.org/10.1002/9781119205005

Öztürk, S., and Alaşahan, Y. (2019). Türkiye'de Endüstri 4.0 Uygulamalarının Değerlendirilmesi: Panel Veri Analizi, Dumlupinar University Journal of Social Science/Dumlupinar Üniversitesi Sosyal Bilimler Dergisi, 61,1-18. https://doi.org/10.29029/busbed.559856

Radziwon, A., Bilberg, A., Bogers, M., and Madsen, E. S. (2014). The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions, Procedia engineering, 69, 1184-1190. https://doi.org/10.1016/j.proeng.2014.03.108.

Schumacher, A., Erol, S. and Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises, Procedia Journal of Manufacturing Science and Technology, 52, 161-166. https://doi.org/10.1016/j.procir.2016.07.040.

Schwab, K. (2016). Dördüncü Sanayi Devrimi, Optimist Yayın Grubu.

Skilton, M., and Hovsepian, F. (2017). The 4th Industrial Revolution: Responding to the Impact of Artificial Intelligence on Business, Springer.

Stock T. and Seliger G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0, Procedia CIRP, 40(536-541). https://doi.org/10.1016/j.procir.2016.01.129

Thames, L. and Schaefer, D. (2017). Cyber Security for Industry 4.0, New York, Springer.

Thibaud, M., Chi, H., Zhou, W., and Piramuthu, S. (2018). Internet of Things (IoT) in High-Risk Environment, Health and Safety (EHS) Industries: A Comprehensive Review, Decision Support Systems, 108, 79-95. https://doi.org/10.1016/j.dss.2018.02.005

Ünlü, F., and Atik, H. (2018). Türkiye’deki İşletmelerin Endüstri 4.0’a Geçiş Performansı: Avrupa Birliği Ülkeleri ile Karşılaştırmalı Ampirik Analiz, Ankara Avrupa Çalışmaları Dergisi, 17(2), 431-463. https://doi.org/10.32450/aacd.512006

Vassiloglu, M., and Giokas, D. (1990). A study of the relative efficiency of bank branches: an application of data envelopment analysis, Journal of the Operational Research Society, 41(7), 591-597. https://doi.org/10.2307/2583436

Von Solms, R., and Van Niekerk, J. (2013). From Information Security to Cyber Security, Computers and Security, 38, 97-102. https://doi.org/10.1016/j.cose.2013.04.004

Wang, X. and Liu, N. (2014). The Application of Internet of Things in Agricultural Means of Production Supply Chain Management, Advance Material Research, 6, 2304–2310.

Witkowski, K. (2017). Internet of Things, Big Data, Industry 4.0 – Innovative Solutions in Logistics and Supply Chains Management, Procedia Engineering, 182, 763 – 769. https://doi.org/10.1016/j.proeng.2017.03.197

Zheng, P., Wang, H., Sang, Z., Zhong, R.Y., Liu, Y., Liu, C., Mubarok, K., Yu, S. and Xu, X. (2018). Smart Manufacturing Systems for Industry 4.0: Conceptual Framework, Scenarios and Future Perspectives, Frontiers of Mechanical Engineering, 13: 137-150. https://doi.org/10.1007/s11465-018-0499-5.