A proposal for a framework process to guide the digital transformation in the R&D center of a Brazilian chemical industry
DOI:
https://doi.org/10.34117/bjdv10n3-067Keywords:
digital transformation, maturity model, technology roadmap, design science research, chemical industry, R&D centerAbstract
Despite the known advantages of digital transformation, many chemical industries have failed to advance digital maturity. Recent studies have shown that the main difficulties lie in the implementation process of digital technologies. In fact, digital projects are started within companies, but most of them do not go beyond the pilot phase. So, how should the digital transformation process be conducted to mitigate implementation difficulties? This article investigates the main barriers faced by the Research and Development (R&D) center of a Brazilian large chemical company and proposes a solution to improve the likelihood of digital transformation implementation success. Therefore, a prescriptive research was performed with a qualitive approach based on Design Science Research resulting in the artifact (a framework) design. The proposed solution is a framework which is composed by three phases, I-PREPARATION, II-ELABORATION OF DIGITAL PLAN, and III-EXECUTION OF DIGITAL PLAN, aiming to support the identification, prioritization, and execution of digital projects inside the sector. The framework was positively evaluated by companies’ specialists , suggesting that it’s a potential solution for improving the likelihood of digital transformation implementation effectiveness.
References
Abdallah, Y., Shehab, E., & Al-Ashaab, A. (2021). Digital transformation challenges in the manufacturing industry. In M. Shafik & K. Case (Eds.), Advances in Manufacturing Technology XXXIV (pp. 9-14). IOS Press.
Bardin, L. (1977). Análise de conteúdo. Lisboa: Edições 70.
Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels - case of the defence sector. Production Planning & Control, 29, 1-14.
Brown, C. (2019). Why and how to employ the SIPOC model. Journal of Business Continuity & Emergency Planning, 12, 198-210.
Correani, A., et al. (2020). Implementing a Digital Strategy: Learning from the Experience of Three Digital Transformation Projects. California Management Review. https://doi.org/10.1177/00081256209348.
Creswell, J. W. (2010). Projeto de pesquisa: métodos qualitativo, quantitativo e misto. Porto Alegre: Artmed. https://doi.org/10.26512/les.v13i1.11610
Dresch A, Lacerda D, Miguel P (2015) A distinctive analysis of case study, action research and design science research. RBGN 17/56:1116-1133
Yankovitz, D., Dickson, D., & Hussain, A. (2019). Digital maturity model to help ease the transition: achieving the next frontier of chemicals excellence. Deloitte. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/us/Documents/energy-resources/us-er-achieving-the-next-frontier-of-chemicals-excellence.pdfDresch, A., Lacerda, D., & Miguel, P. (2015). A distinctive analysis of case study, action research and design science research. RBGN, 17/56, 1116-1133.
Earley Information Science. (2018). Building a Successful Digital Transformation Roadmap. Retrieved from https://info.earley.com/hubfs/EIS_Assets/EIS-Whitepaper-Building-Digital-Transformation-Roadmap-2019.pdf
Elsevier. (2020). Overcoming Digital Transformation Roadblocks in the Chemical Industry. Retrieved from https://connect.acspubs.org/Elsevier-Digital-Transformation?partnerref=CENonline
Forbes Technology Council. (2015, june). 13 Industry Experts Share Reasons Companies Fail At Digital Transformation. Forbes. Retrieved from https://www.forbes.com/sites/forbestechcouncil/2021/06/15/13-industry-experts-share-reasons-companies-fail-at-digital-transformation/?sh=7ccb647b7a3f
Glass, R., et al. (2018). Identifying the barriers to Industrie 4.0. CIRP Conference on Manufacturing Systems, 51, 985-988.
Gracel, J., & Łebkowski, P. (2019). The concept of industry 4.0 related manufacturing technology maturity model. Decision Making in Manufacturing and Services, 12, 17-31.
Henderson, J., & Venkatraman, H. (1993). Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal, 32, 4-16.
Hevner, A., et al. (2004). Design Science in Information Systems Research. Management Information Systems Quarterly, 28, 75-.
Hill, D. (2019). Digital Transformation Lags In Chemical Industry. Chemical Processing. Retrieved from https://www.chemicalprocessing.com/asset-management/digitalization-iiot/article/11307084/digital-transformation-lags-in-chemical-industry
Issa, A., et al. (2018). Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment. CIRP Conference on Manufacturing Systems, Stuttgart, p., 973-978.
Kalinowski, M., et al. (2020). Towards lean R&D: An agile research and development approach for digital transformation. In: 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), IEEE Xplore, Portorož, pp 132-136.
Leineweber, S., et al. (2018). Concept for an evolutionary maturity-based Industrie 4.0 migration model. CIRP Conference on Manufacturing Systems, 51, 404-409.
McMeekin, N., et al. (2020). How methodological frameworks are being developed: evidence from a scoping review. BMC Medical Research Methodology, 20. ISSN 1471-2288.
Mettler, T. (2011). Maturity assessment models: A design science research approach. International Journal of Society Systems Science, 1/2, 81-98.
Parviainen, P., Tihinen, M., Kääriäinen, J., & Teppola, S. (2017). Tackling the digitalization challenge: How to benefit from digitalization in practice. International Journal of Information Systems and Project Management, 5, 63–77.
Pessl, E., Sorko, S. R., & Mayer, B. (2017). Roadmap Industry 4.0 – Implementation Guideline for Enterprises. International Journal of Science, Technology and Society, Kapfenberg, 06 nov. 2017, 193-202.
Rezgui, Y., & Zarli, A. (2006). Paving the way to the vision of digital construction: A strategic roadmap. Journal of Construction Engineering and Management, 132, 767-776.
Rosalia, R., Wahba, K., & Milevska-Kostova, N. (2021). How digital transformation can help achieve value-based healthcare: Balkans as a case in point. The Lancet Regional Health - Europe, 4, 100100.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, Vienna, 52, 161-166.
Sganderla, K. (2012). Um guia para iniciar estudos em BPMN (I): Atividades e sequência. Retrieved from https://blog.iprocess.com.br/2012/11/um-guia-para-iniciar-estudos-em-bpmn-i-atividades-e-sequencia/.
Souza, E. M. de M., & Vieira, J. de C. (2020). Desafios da indústria 4.0 no contexto brasileiro / Industry 4.0 challenges inside the brazilian context. Brazilian Journal of Development, 6(1), 5001–5022. https://doi.org/10.34117/bjdv6n1-361
Stefan, L., et al. (2018). Concept for an evolutionary maturity-based Industrie 4.0 migration model. Procedia CIRP, 72, 404-409.
Rodrigues, L. C., Queiroga, A. P. G. de, & Milhossi, J. F. (2022). Indústria 4.0 e a transformação digital / Industry 4.0 and digital transformation. Brazilian Journal of Development, 8(2), 14093–14101. https://doi.org/10.34117/bjdv8n2-369
The Economist. (2017). The world’s most valuable resource is no longer oil, but data. Retrieved from https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data Accessed 12 Jul 2021.
Vaishnavi, K., & Kuechler, W. (2007). Design Science Research methods and patterns: Innovating information and communication technology. 2nd ed. CRC Press, Boca Raton.
Van Aken, J. E. (2005). Management Research as a Design Science: articulating the Research products of mode 2 knowledge production in management. British Journal of Management, 16, 19-36, mar. 2005.
Weber, C., et al. (2017). M2DDM – A Maturity Model for Data-Driven Manufacturing. Procedia CIRP, 63, 173-178. ISSN 2212-8271.
