Assessing the readiness of Hungarian companies for industry 4.0

Model proposal and testing through case studies

Authors

DOI:

https://doi.org/10.14267/VEZTUD.2023.09.05

Keywords:

Industry 4.0 readiness, modelling, process management, IT management, cybersecurity, case studies, Design Science Research

Abstract

Industry 4.0 (I 4.0) applications often fail to deliver the expected results for a variety of reasons. One of them is that many I 4.0 maturity/readiness models cannot capture the application prerequisites in sufficient depth, so companies apply such technologies without being ready for them. This article addresses this problem. It uses the Design Science Research methodology to develop an I 4.0 readiness model. The authors complement existing scientific results with seven expert interviews and propose an I 4.0 readiness assessment model. The paper presents the model in detail, then follows this with eight business cases providing assessment of their readiness but also suggestions for further improvements. Based on the feedback on the model and the supporting questionnaire, the authors were able to finalise the proposed evaluation system.

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Author Biographies

Andrea Gelei, Corvinus University of Budapest

professor

Katalin Ternai, Corvinus University of Budapest

associate professor

Elizabeth Lengyel, Corvinus University of Budapest

PhD student

References

Angreani, L. S., Vijayac, A., & Wicaksono, H. (2020). Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors. Procedia Manufacturing, 52, 337–343. https://doi.org/10.1016/j.promfg.2020.11.056

Ardito, L., Cerchione, R., Mazzola, E., & Raguseo, E. (2021). Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy. Journal of Knowledge Management, 26(9), 2222-2254. https://dx.doi.org/10.1108/JKM-04-2021-0325

Balkányi, P. (2020). Az e-learning tananyagfejlesztés ökoszisztémájának design science módszertan szerinti vizsgálata (Doktori értekezés). Budapesti Corvinus Egyetem, Gazdaságinformatika Doktori Iskola, Budapest. https://doi.org/10.14267/phd.2020007

Bánhidi, Z., & Dobos, I. (2020). Az Európai Unió digitális gazdaság és társadalom indexének statisztikai elemzése. Statisztikai Szemle, 98(2), 149-168. https://doi.org/10.20311/stat2020.2.hu0149

Chrissis, M. B., Konrad, M., & Shrum, S. (2011). CMMI for development: guidelines for process integration and product improvement. Pearson Education . CMMI Product Team. (2010). CMMI® for Development, Version 1.3, Improving Processes for Developing Better Products and Services. Software Engineering Institute.

Colli, M., Berger, U., Bockholt, M., Madsen, O., Møller, C., & Wæhrens, B. V. (2019). A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annual Reviews in Control, 48, 165-177. https://doi.org/10.1016/j.arcontrol.2019.06.001

Demeter, K., Losonci, D., Nagy, J., & Horváth, B. (2019). Tapasztalatok az I 4.0-val – egy esetalapú elemzés. Vezetéstudomány, 50(4), 11-23. https://doi.org/10.14267/VEZTUD.2019.04.02

Dold, L., & Speck, C. (2021). Resolving the productivity paradox of digitalised production. International Journal of Production Management and Engineering, 9(2), 65-80. https://doi.org/10.4995/ijpme.2021.15058

Dujin, A., Geissler, C., & Horskötter, D. (eds.) (2014). Industry 4.0 – The new industrial revolution. How Europe will succeed. Munich: Roland Berger. https://www.iberglobal.com/files/Roland_Berger_Industry.pdf

Fükő, L., Illés, B., Tamás, P., & Skapinyecz R. (2020). Ipar 4.0 érettség meghatározásának módszerei. Multidiszciplináris Tudományok. 10(4), 361-365. https://doi.org/10.35925/j.multi.2020.4.39

Gentner, S. (2016). Industry 4.0: reality, future or just science fiction? How to convince today’s management to invest in tomorrow’s future! Successful strategies for industry 4.0 and manufacturing IT. CHIMIA International Journal for Chemistry, 70(9), 628-633. https://doi.org/10.2533/chimia.2016.628

Ghobakhloo, M., & Iranmanesh, M. (2021). Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. Journal of Manufacturing Technology Management, 32(8), 1533-1556. https://doi.org/10.1108/JMTM-11-2020-0455

Gökalp, E., & Martinez, V. (2021). Digital transformation maturity assessment: development of the digital transformation capability maturity model. International Journal of Production Research, 60(20), 6282-6302. https://doi.org/10.1080/00207543.2021.1991020

Gregor, S. & Hevner, A.R. (2013). Positioning and presenting design science research for maximum impact. MIS Quarterly, 37(2), 337–355. https://doi.org/10.25300/MISQ/2013/37.2.01

Hajoary, P. K. (2020). Industry 4.0 maturity and readiness models: A systematic literature review and future framework. International Journal of Innovation and Technology Management, 17(7), 2030005. https://doi.org/10.1142/S0219877020300050

Hevner, A., March, T. S., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75-105. https://doi.org/10.2307/25148625

Hevner, A. (2007). A three cycle view of design science research. Scandinavian Journal of Information Systems, 19(2), 87-92. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1017&context=sjis

Hizam-Hanafiah, M., Soomro, M. A., & Abdullah, N.L. (2020). Industry 4.0 readiness models: A systematic literature review of model dimensions. Information, 11(7), 364. https://doi.org/10.3390/info11070364

Holmström, J., Ketokivi, M. & Hameri, A. P. (2009). Bridging practice and theory: A design science approach. Decision Sciences, 40(1), 65–87. https://doi.org/10.1111/j.1540-5915.2008.00221.x

ISO. (2015a). ISO/IEC 33000: Information Technology – Process Assessment, International Organization for Standardization. Geneva, Switzerland.

ISO. (2015b). ISO/IEC 33004: Information Technology – Process Assessment – Requirements for Process Reference, Process Assessment and Maturity Models. Geneva, Switzerland.

ISO. (2015c). ISO/IEC 33020: Information Technology – Process Assessment – Process Measurement Framework for Assessment of Process Capability. Geneva, Switzerland.

Issa, A., Hatiboglu, B., Bildstein, A., & Bauernhansl, T. (2018). Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment. Procedia CIRP, 72, 973-978. https://doi.org/10.1016/j.procir.2018.03.151

Lee, J., Jun, S., Chang, T. W., & Park, J. (2017). A smartness assessment framework for smart factories using analytic network process. Sustainability, 9(5), 794– 808. https://doi.org/10.3390/su9050794

Leem, C. S., & Kim, I. (2004). An integrated evaluation system based on the continuous improvement model of IS performance. Industrial Management & Data Systems, 104(2), 115-128. https://doi.org/10.1108/02635570410522080

Leem, C. S., Kim, B. W., Yu, E. J., & Paek, M. H. (2008). Information technology maturity stages and enterprise benchmarking: an empirical study. Industrial Management & Data Systems, 108(9), 1200-1218. https://doi.org/10.1108/02635570810914892

Leyh, C., Bley, K., Schäffer, T., & Forstenhäusler, S. (2016). SIMMI 4.0-a maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4.0. In 2016 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 1297-1302). Gdansk, Poland. https://ieeexplore.ieee.org/abstract/document/7733413

Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E. & Schröter, M. (2018). IMPULS Industrie 4.0-readiness. Aachen: Impulse Stiftung. https://impuls-stiftung.de/wp-content/uploads/2022/05/Industrie-4.0-Readiness-english.pdf

Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium- sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. https://doi.org/10.1016/j.jmsy.2018.10.005

Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, T., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals, Manufacturing Technology, 65(2), 621-641. https://doi.org/10.1016/j.cirp.2016.06.005

Nagy, J., Jámbor, Z., & Freund, A. (2020). Az I 4.0 és a digitalizáció legjobb gyakorlatai a hazai élelmiszergazdaságban: Négy esettanulmány. Vezetéstudomány, 51(6), 5-16. https://doi.org/10.14267/VEZTUD.2020.06.02

Nemeslaki, A. (2011a). Tűz és víz határán a gazdaságinformatikában: A technológiai konstruálás és a társadalmi konstruktivizmus összekapcsolásának lehetősége. Információs Társadalom, 11(1–4), 11–30. https://dx.doi.org/10.22503/inftars.X.2011.1-4.1

Nemeslaki, A. (2011b). Existing challenges and deficiencies of information management in the ICT era (Doktori disszertáció). Budapesti Corvinus Egyetem, Budapest. Nemeslaki, A. (2018): Application of science-technology society studies in information security research – Review of journals for theory and advanced research design. Academic and Applied Research in Military and Public Management Science, 17(1), 87–140. https://doi.org/10.32565/aarms.2018.1.8

Németh, K., Tóth Kaszás, N., Rodek, N., Konka, B., & Bencsik, A. (2020). I 4.0: várakozások, felkészültség, motiváció – egy regionális felmérés tapasztalatai. In Farkas Ferenc II. Nemzetközi Tudományos Konferencia (pp. 70-84). Pécs: PTE. https://digitalia.lib.pte.hu/hu/pub/balogh-laszlo-sipos-farkas-f-ii-nemzetkozitud-konf-2020-ptektk-pecs-2020-425

Nick, G., Kovács, T., Kő, A., & Kádár, B. (2021). Industry 4.0 readiness in manufacturing: Company Compass 2.0, a renewed framework and solution for Industry 4.0 maturity assessment. Procedia Manufacturing, 54, 39-44. https://doi.org/10.1016/j.promfg.2021.07.007

Onyeme, C., & Liyanage, K. (2022). A systematic review of Industry 4.0 maturity models: applicability in the O&G upstream industry. World Journal of Engineering, (ahead-of-print). https://doi.org/10.1108/WJE-12-2021-0689

Peffers, K., Tuunanen, T., Rothenberger, M., et al. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77. https://doi.org/10.2753/MIS0742-1222240302

Quin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for industry 4.0 and beyond. Procedia CIRP, 52, 173-178. https://doi.org/10.1016/j.procir.2016.08.005

Schuh, G., Anderl, R., Gausemeier, J., Ten Hompel, M., & Wahlster, W. (Eds.) (2017). Industrie 4.0 Maturity Index: Die digitale Transformation von Unternehmen gestalten. Herbert Utz Verlag.

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. https://doi.org/10.1016/j.procir.2016.07.040

Schumacher, A., Nemeth, T., & Sihn, W. (2019). Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia CIRP, 79, 409-414. https://doi.org/10.1016/j.procir.2019.02.110

Sony, M., & Naik, S. (2019). Key ingredients for evaluating Industry 4.0 readiness for organizations: a literature review. Benchmarking: An International Journal, 27(7), 2213-2232. https://doi.org/10.1108/BIJ-09-2018-0284

Sung, T. K. (2009). Technology transfer in the IT industry: A Korean perspective. Technological Forecasting and Social Change, 76(5), 700-708. https://doi.org/10.1016/j.techfore.2008.03.011

vom Brocke, J., Hevner, A., & Maedche, A. (2020). Introduction to Design Science Research. In vom Brocke, J., Hevner, A., Maedche, A. (Eds.), Design Science Research. Cases. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-46781-4_1

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Published

2023-09-15

How to Cite

Gelei, A., Ternai, K., & Lengyel, E. (2023). Assessing the readiness of Hungarian companies for industry 4.0: Model proposal and testing through case studies. Vezetéstudomány Budapest Management Review, 54(9), 58–73. https://doi.org/10.14267/VEZTUD.2023.09.05

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Section

KSZ: DIG-KKV