Dördüncü Sanayi Devrimi ve KOBİ'lerin Dijital Dönüşümü

KOBİ’leri dördüncü sanayi devrimi bağlamında nasıl bir gelecek beklediği konusuna odaklanan yönetim yazınının incelendiği bu çalışmada iki temel tespit yapılmaktadır. Birinci; yönetim araştırmacılarının Endüstri 4.0 teknolojilerinin entegre edilmesi durumunda örgütlerin bilgi aktarımı ve örgütsel bellekte bilgi depolanmasının nasıl etkileneceği konusunu büyük ölçüde ihmal ettiği yönünde bir tespittir. Bir yandan her şeyin internetinden bahsedip, her şeyin dijital bir veriye dönüşeceği üzerine çıkarımlar yapılırken, öte yandan bu sürecin nasıl örgütsel değişimler getirebileceği ya da nasıl sonuçları olacağı üzerine somut öneriler yeterli seviyede görülmemiştir. İkinci tespit ise; dördüncü sanayi devriminin getirdiği ve getirecekleri konusunda bilgi üretecek yönetim araştırmalarının geleneksel yöntemlerden ileri gidemediği yönündedir. Yeni teknolojilerin örgütlere adapte edilmesini modelleyecek, sonuçlarını öngörecek yöntem ve tekniklerin örgüt araştırmacıları tarafından benimsenmemiş olduğu görülmüştür. Bu tespitler doğrultusunda yönetim araştırmacılarının teknoloji odaklı bir sanayi devriminin örgütlerde yaratacağı değişimi anlayabilmesi için çalışma disiplinlerini kademeli olarak dijital dönüşüme uyumlandırmasına yönelik önerilerde bulunulmuştur.

Fourth Industrial Revolution and Digital Transformation of SMEs

In this study, two main determinations in the management literature have been made, which focus on the future of SMEs in the concept of the fourth industrial revolution. The first finding is, that management researchers largely neglect the issue of how information transfer and information storage in organizational memory will be affected if Industry 4.0 technologies are adopted. On the one hand, talking about the internet of everything and making inferences that everything will turn into digital data, yet; on the other hand, it is seen that, the level of concrete suggestions on changes in organizations due to digital transformation or the result of this process is inadequate. The second finding is management research cannot go further than traditional methods, which will produce information about the fourth industrial revolution and its future returns, It has been observed that the methods and techniques that will model the adaptation of new technologies to the organizations and prediction of the results have not been adopted by organization researchers. In line with these findings, suggestions have been made for management researchers to gradually adapt their work disciplines to digital transformation; to understand the organizational change a technology-oriented industrial revolution will create.

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  • Argote, L. (2013). Organizational Learning – Creating, Retaining and Transferring Knowledge (Second Edition). New York: Springer Verlag.
  • Argote L., and Ingram, P. (2000). “Knowledge Transfer: A Basis For Competititve Advantage in Firms”,Organization Behaviour and Human Decision Processes, Vol:82, No:1, May 2000, 150-169.
  • Brynjolfsson, E., and Mcafee, A. (2014). The Second Machine Age – Work, Progress, and Prosperity in a Time of Brillant Technologies. New York: W.W. Norton & Company Inc.
  • Carmichael, T., & Hadžikadić, M. (2019). “The fundamentals of complex adaptive systems”, In Complex adaptive systems (pp. 1-16). Cham: Springer.
  • Cimini, C., Boffelli, A., Lagorio, A., Kalchschmidt, M., & Pinto, R. (2020). “How do industry 4.0 technologies influence organisational change? An empirical analysis of Italian SMEs”, Journal of Manufacturing Technology Management, 695-721.
  • Cohen, M. D., andBacdayan, M. (1994). “Organizational Routines Are Stored as Procedural Memory: Evidence from a Laboratory Study”,Organization Science, 5 (4), 554-568.
  • Corò, G., & Volpe, M. (2020). “Driving factors in the adoption of Industry 4.0 technologies: An investigation of SMEs.” In Industry 4.0 and regional transformations (pp. 112-132). Routledge.
  • Cyert, R. M., & March, J. G. (1963). A behavioral theory of the firm (Vol. 2, No. 4, pp. 169-187).
  • Davies, R., Coole, T., & Smith, A. (2017). “Review of socio-technical considerations to ensure successful implementation of Industry 4.0”, Procedia Manufacturing, 11, 1288-1295.
  • de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). “When titans meet–Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors”, Technological Forecasting and Social Change, 132, 18-25.
  • Engeström, Y., Brown, K., Engeström, R., &Koistinen, K. (1990). Organizational forgetting: An activity-theoretical perspective. In D. Middleton & D. Edwards (Eds.), Collective remembering (pp. 139–168). Sage Publications, Inc.
  • Epstein, J. M. (2006). Generative Social Science: studies in agent-based computational modeling. Princeton and Oxford: Princeton University Press.
  • Faller, C., and Feldmüller D. (2015). “Industry 4.0 Learning Factory for regional SMEs”,Procedia CIRP, 32, 88-91, The 5th Conference on Learning Factories 2015.
  • Ganzarain, J., &Errasti, N. (2016). “Three stage maturity model in SME's toward industry 4.0”, Journal of Industrial Engineering and Management (JIEM), 9(5), 1119-1128.
  • Garzoni, A., De Turi, I., Secundo, G., & Del Vecchio, P. (2020). “Fostering digital transformation of SMEs: a four levels approach”, Management Decision, Vol. 58 No. 8, pp. 1543-1562.
  • Ghobakhloo, M., Iranmanesh, M., Vilkas, M., Grybauskas, A., & Amran, A. (2022). “Drivers and barriers of Industry 4.0 technology adoption among manufacturing SMEs: a systematic review and transformation roadmap”, Journal of Manufacturing Technology Management, Vol. 33 No. 6, pp. 1029-1058.
  • Gilchrist, A. (2016). “Introducing Industry 4.0”, Industry 4.0. Berkeley CA: Apress.
  • Gualtieri, L., Rojas, R., Carabin, G., Palomba, I., Rauch, E., Vidoni, R., & Matt, D. T. (2018, December). “Advanced automation for SMEs in the I4. 0 revolution: Engineering education and employees training in the smart mini factory laboratory”, In 2018 IEEE international conference on industrial engineering and engineering management (IEEM), pp. 1111-1115. IEEE.
  • Günal, M. M. (2019). “Simulation for the Better: The Future in Industry 4.0”,Simulation for Industry 4.0(Der. Murat M. Günal), Cham.: Springer Series in Advanced Manufacturing, Springer, 275-282.
  • Günal, M. M., & Karatas, M. (2019). “Industry 4.0, digitisation in manufacturing, and simulation: A review of the literature”. Simulation for Industry 4.0, 19-37.
  • Jaffee, D. (2001). Organization Theory Tension and Change, New York: McGRAW-HILL.
  • Hermann, M, Pentek, T, and Otto B. (2016). “Design Principles forIndustry 4.0 Senarios”, 2016 Hawaii international conference on system sciences (HICSS), 3928-3937.
  • Hobscheidt, D., Kühn, A., & Dumitrescu, R. (2021). “Derivation of socio-technical solution patterns for industry 4.0 problem classes”, Procedia CIRP, 100, 301-306.
  • Jäger, J., Schöllhammer, O., Lickefett, M., & Bauernhansl, T. (2016). “Advanced complexity management strategic recommendations of handling the “Industrie 4.0” complexity for small and mediumenterprises”, ProcediaCirp, 57, 116-121.
  • Kagermann, H., Helbıg, J., and Wahlster, W. (2013). “Recommendations For Implementing the Stratejik Initiative Industrie 4.0: Securing the Future of German Manufacturing Industry”, Final Report of The Industrie 4.0 Working Group 2013, Forschungsunion.
  • Kagermann, H., Lukas, W. D., and Wahlster, W. (2011). “Industrie 4.0: Mit dem internet der Dinge auf dem Weg zur 4. Industriellen Revolution”, VDI nachrichten, 13, s.2.
  • Kumar, R., Singh, R. K., & Dwivedi, Y. K. (2020). “Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges”. Journal of cleaner production, 275, 124063.
  • Lee, I., and Lee, K. (2015). “The Internet of Things (IoT): Applications, investments, and challenges for enterprises”, Business Horizons, 58(4), 431-440.
  • Ludwig, T., Kotthaus, C., Stein, M., Pipek V., and Wulf, V. (2018). “Revive Old Discussions! Socio-technical Challenges for Small and Medium Enterprises within Industry 4.0”, In: Proceedings of 16th European Conference on Computer-Supported Cooperative Work- Exploratory Papers, Reports of the European Society for Socially Embedded Technologies.
  • March, J. G., and Simon, H. A. (1975). Örgütler, (Çevirenler: Ömer Bozkurt, Oğuz Onaran), Türkiye ve Orta Doğu Amme İdaresi Enstitüsü Yayınları No: 44, Ankara 1975.
  • Masood, T., & Sonntag, P. (2020). “Industry 4.0: Adoption challenges and benefits for SMEs”, Computers in Industry, 121, 103261.
  • Matt D.T., and Rauch E. (2020). “SME 4.0: The Role of Small- and Medium-Sized Enterprises in the Digital Transformation”, in Industry 4.0 for SMEs Challenges, Opportunities and Requirements (Eds. Dominik T. Matt, Vladimir Modrak, HelmutZsifkovits). Cham: Palgrave Macmillan, 3-36.
  • McGinnis, L. F., & Rose, O. (2017, December). “History and perspective of simulation in manufacturing”. In 2017 Winter Simulation Conference (WSC) (pp. 385-397). IEEE.
  • Mcgrath, J. E., and Argote, L. (2001). “Group Process in Organizational Contexts”,Blackwell Handbook of Social Psychology: Group Processes, (Eds. Michael A. Hogg, R. Scott Tindale). Chicester: BlackwellPublishers, 603-627.
  • Mittal, S., Romero, D., &Wuest, T. (2018, August). “Towards a smart manufacturing maturity model for SMEs (SM3E)”,in IFIP international conference on advances in production management systems (pp. 155-163). Cham: Springer.
  • Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., and Barbaray, R. (2018). “The industrial management of SMEs in the era of Industry 4.0”, International Journal of Production Research, 56, 3, 1118-1136.
  • Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S., & Shaikh, M. A. A. (2018). “Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection”, Process safety and environmental protection, 117, 730-741.
  • Mourtzis, D. (2020). “Simulation in the design and operation of manufacturing systems: state of the art and new trends”, International Journal of Production Research, 58(7), 1927-1949.
  • Müller, J. M., Buliga, O., &Voigt, K. I. (2018). “Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0”, Technological Forecasting and Social Change, 132, 2-17.
  • Oliff, H., & Liu, Y. (2017). “Towards industry 4.0 utilizing data-mining techniques: a case study on quality improvement”, ProcediaCirp, 63, 167-172.
  • Olle, W., &Clauss, D. (2015). “Industrie 4.0 brauch den Mittelstand- Eine Kurzstudie”,Chemnitz Automotive Institute, Chemnitz, http://cati.institute/wp-content/uploads/2015/03/Kurzstudie_Endfassung.pdf.
  • Orzes, G., Rauch, E., Bednar, S., and Poklemba R. (2018). “Industry 4.0 Implementation Barriers in Small and Medium Sized Enterprises: A Focus Group Study”,2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 1348–1352.
  • Öztemel, E., & Gursev, S. (2020). “Literature review of Industry 4.0 and related Technologies”, Journal of Intelligent Manufacturing, 31(1), 127-182.
  • Raisch, S., and Krakowski, S. (2021). “Artificial Intelligent and Management: The Automation-Augmentation Pradox”, Academy of Management Review, 46(1), 192-210.
  • Raj, A., Dwivedi, G., Sharma, A., de SousaJabbour, A. B. L., &Rajak, S. (2020). “Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective”, International Journal of Production Economics, 224, 107546.
  • Rauch, E., Dallasega, P., & Unterhofer, M. (2019). “Requirements and barriers for introducing smart manufacturing in small and medium-sized enterprises”. IEEE Engineering Management Review, 47(3), 87-94.
  • Rickmann, H. (2014). “Verschlaeft der deutsche Mittelstand einen Megatrend?”, https://www.focus.de/finanzen/experten/rickmann/geringer-digitalisierungsgrad-verschlaeft-der-deutsche-mittelstand-einen-megatrend_id_3973075.html.
  • Rodič, B. (2017). “Industry 4.0 and the new simulation modelling paradigm”, Organizacija, 50(3), 193.
  • Rostow, W. W. (1975). “Kontratieff, and Kuznets: Trends Periods Revisited”, The Journal of Economic History, Vol.35, No.4, 719-753.
  • Saniuk, S., & Saniuk, A. (2018). “Challenges of industry 4.0 for production enterprises functioning within cyber industry networks”, Management systems in production engineering, Vol.26, Issue:4, 212-216.
  • Sommer, L. (2015). “Industrial Revolution – Industry 4.0: Are German Manufacturing SMEs the First Victims of this Revolution?”, Journal of Industria lEngineering and Management (JIEM), 8(5), 1512-1532.
  • Spath, D., Ganschar, O., Gerlach, S., Haemmerle, T. K., & Schlund, S. (2013). Produktionsarbeit der Zukunft- Industrie 4.0. Stuttgart: FraunhoferVerlag.
  • Starbuck, W. H. (1992). “Learning by Knowledge-Intensive Firms”, Journal of Management Studies, 29:6, 713-740.
  • Stentoft, J., AdsbøllWickstrøm, K., Philipsen, K., & Haug, A. (2021). “Drivers and barriers for Industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers”, Production Planning & Control, 32(10), 811-828.
  • Türkeș, M. C., Oncioiu, I., Aslam, H. D., Marin-Pantelescu, A., Topor, D. I., & Căpușneanu, S. (2019). “Drivers and barriers in using industry 4.0: a perspective of SMEs in Romania”, Processes, 7(3), 153.
  • Wang, L., &Wang, G. (2016). “Big data in cyber-physical systems, digital manufacturing and industry 4.0”, International Journal of Engineering and Manufacturing (IJEM), 6(4), 1-8.
  • Wang, S., Wan, J., Zhang, D., Li, D., &Zhang, C. (2016). “Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination”, Computer networks, 101, 158-168.
  • Wittenbaum, G. M., Vaughan, S. I., & Strasser, G. (2002). “Coordination in task-performing groups”, in Theory and research on small groups, pp. 177-204. Springer, Boston, MA.
  • Yates, J. (1990). “For the Record: The Embodiment of Organizational Memory, 1850-1920”, Business and Economic History, Second Series, Vol: 19,172-182.