MEASURING THE MATURITY OF DIGITALIZATION TRANSFORMATION FROM OPERATIONAL EXCELLENCE'S PERSPECTIVE
Received: 02nd February 2023; Revised: 11th June 2023; Accepted: 13th June 2023
Keywords:
Maturity Model, Digitalisation, Operational Excellence, Food-PackagingAbstract
Operational Excellence (OE) means the development of innovative sustainable production science and technologies that cover the entire live cycle of products but also of services. The food-packaging industry examined in this paper so far lacks a comprehensive yet consensual framework that encompasses all aspects of measuring the maturity of digitalization transformation from an Operational Excellence's perspective. Consequently, this paper aims to show the significance of the application of Industry 4.0 technologies in a lean environment - in the food-packaging sector. For OE initiatives, the main question is the inefficiencies that occur at different stages of production. A systematic literature analysis helps to identify existing maturity models in the context of the research fields of digitization, Industry 4.0 and in particular the process digitization. Based on this, a maturity model will be designed and evaluated in a company-related application context. With certain modifications, Industry 4.0 concepts and technologies can be applied to the observed case plants. Combining these advanced technologies with lean principles can lead to better OE initiatives than applying these concepts alone. The paper provides insight into the current state of knowledge in the respective areas and suggests the way forward for future research.
References
Aboelmaged, M. G. (2018). Knowledge sharing through enterprise social network (ESN) systems: motivational drivers and their impact on employees’ productivity, Journal of Knowledge Management, 22(2), pp. 362-383. https://doi.org/10.1108/JKM-05-2017-0188
Akkasoglu, G. (2014). Methodik zur Konzeption und Applikation anwendungsspezifischer Reifegradmodelle unter Berücksichtigung der Informationssicherheit, Dissertation, Erlangen-Nürnberg.
Al-Qahtani, M. A., & Aksoy, M. S. (2022). Collaborative Tools and Techniques of Knowledge Sharing: A Literature Review, Journal of Computer and Communications, 10(5), pp. 45-54. https://doi.org/10.4236/jcc.2022.105003
Becker, J., Knackstedt, R., & Pöppelbuß, J. (2009). Entwicklung von Reifegradmodellen für das IT-Management. Wirtschaftsinformatik Springer, 51(3), pp. 249-260. https://doi.org/10.1007/s11576-009-0167-9
Berghaus, S., & Back, A. (2016a). Gestaltungsbereiche Der Digitalen Transformation von Unternehmen: Entwicklung Eines Reifegradmodells. Die Unternehmung, 70, pp. 98-123. https://doi.org/10.5771/0042-059X-2016-2-98
Berghaus, S., & Back, A. (2016b). Stages in Digital Business Transformation: Results of an Empirical Maturity Study. Mediterranean Conference on Information Systems (MCIS), 22, pp. 1-17.
Brooks, F. P. (1987). No Silver Bullet: Essence and Accidents of Software Engineering, IEEE Computer, 20(4), April 1987, pp. 10-19. https://doi.org/10.1109/MC.1987.1663532
Cai, N., Zhang, S. J., & Li, L. (2009). Sustainable project management: A balance analysis model of effect. 2009 International Conference on Management and Service Science, Beijing, China, pp. 1-4. https://doi.org/10.1109/ICMSS.2009.5302357
Cooper, H. M. (1988). Organizing knowledge syntheses: A taxonomy of literature reviews. Knowledge in Society, 1(1), pp. 104-126. https://doi.org/10.1007/BF03177550
Curtis, B. (1990). Managing the Real Leverage in Software Productivity and Quality, American Programmer, 3(7), July 1990, pp. 4-14.
De Bruin, T., Freeze, R., Kulkarni, U., & Rosemann, M. (2005): Understanding the Main Phases of Developing a Maturity Assessment Model. 16th Australasian Conference on Information Systems. Sydney, 29. November 2005.
Deland, D. (2009). Sustainability through project management and net impact. PMI® Global Congress 2009 North America, Orlando, FL, USA.
Ganguly, A., Talukdar, A., & Chatterjee, D. (2019). Social capital, knowledge quality, knowledge sharing, and innovation capability of an Organization, Journal of Knowledge Management, 27(1), pp. 25-42. https://doi.org/10.1108/JKM-03-2018-0190
Janse, B. (2018). Capability Maturity Model (CMM). Retrieved from Toolshero: https://www. toolshero.com/information-technology/capability-maturity-model-integration/.
Kohlegger, M., Maier, R., & Thalmann, S. (2009). Understanding Maturity Models Results of a structured Content Analysis, I-KNOW ’09 and I-SEMANTICS ’09, Graz, Austria, 2009. pp. 51-61.
Lichblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E., & Schröter, M. (2015). Industrie 4.0 Readiness. Impuls-Stiftung des Maschinen- und Anlagenbau (VDMA), p. 23.
Malik, M. S., & Kanwal, M. (2018). Impacts of organizational knowledge sharing practices on employees’ job satisfaction: Mediating roles of learning commitment and interpersonal adaptability, Journal of Workplace Learning, 30(1). https://doi.org/10.1108/JWL-05-2016-0044
Marquardt, K. Nachhaltigkeit und Digitalisierung: Nachhaltiges und verantwortungsvolles Business im Kontext von Digitalisierung und Innovation (Sustainable Management, Wertschöpfung und Effizienz). Springer Gabler-Verlag, Wiesbaden 2020, pp. 17-20. https://doi.org/10.1007/978-3-658-31920-5
Meffert, H., Kenning, P., & Kirchgeorg, M. (2015). Sustainable Marketing Management: Grundlagen und Cases. Springer-Gabler Verlag, Wiesbaden 2015. p. 8. https://doi.org/10.1007/978-3-658-02437-6
Mertens, P., & Barbian, D. (2018). Digitalisierung und Industrie 4.0 - eine Relativierung, Springer Vieweg, p. 35. https://doi.org/10.1007/978-3-658-19632-5
Mettler, T., Rohner, P., & Winter, R. (2010). Towards a classification of maturity models in information systems. 6th Conference of the Italian Chapter of AIS, pp. 333-340, doi: 10.10 07/978-3-7908-2404-9_39.
Nielen, S., Kay, R., & Schröder, C. (2017). Disruptive Innovationen: Chancen und Risiken für den Mittelstand. Bonn.
Paulin, D., & Suneson, K. (2012). Knowledge Transfer, Knowledge Sharing and Knowledge Barriers—Three blurry terms in KM. Electronic Journal of Knowledge Management (EJKM), 10(1), pp. 81-91. https://www.researchgate.net/publication/ 28610 5137_ Knowledge_transfer_ knowledge_sharing_and_knowledge_barriers-Three_blurry_ter ms_in_KM.
Ritzrau, W. (2017). Eine nachhaltige Strategie bei SAP. CSR und Strategisches Management. Springer Gabler, Berlin, Heidelberg, pp. 219-237. https://doi.org/10.1007/978-3-662-49457-8_11
Schuh, G., Anderl, R., Gausemeier, J., Hompel, T. M., & Wahlster, W. (2017). Industrie 4.0 Maturity Index: Die digitale Transformation von Unternehmen gestalten (acatech STUDIE). Utzverlag, München 2017, p. 10.
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. The 6th International Conference on Changeable, Agile, Reconfigurable & Virtual Production, 52, pp. 161-166. https://doi.org/10.1016/j.procir.2016.07.040
Spath, D., Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., & Schlund, S. (2013). Produktionsarbeit der Zukunft – Industrie 4.0. Stuttgart: Fraunhofer Verlag.
Steven, M. (2019). Industrie 4.0: Grundlagen - Teilbereiche - Perspektiven. Verlag W. Kohlhammer, Stuttgart 2018, p. 38.
Trautman, S. (2022). 4 Practices to Embed Knowledge Transfer into Your Business Culture. The Steve Trautman Co.
Tremblay, M. C., Hevner, A. R., & Berndt, D. J. (2010). Focus groups for artifact refinement and evaluation in design research, Communications of the Association for Information Systems. 26(27), pp. 599-618. https://doi.org/10.17705/1CAIS.02627
Tuan, L. T. (2020). Coach humility and player creativity: The roles of knowledge sharing and group diversity, Sport Management Review, 23(2), pp. 284-301. https://doi.org/10.1016/j.smr.2019.02.004
Wiegand, B. (2018): Der Weg aus der Digitalisierungsfalle. Wiesbaden. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-16511-6
Yoo, Y., & Lyytinen, K. (2010). The Next Wave of Digital Innovation: Opportunities and Challenges: A Report on the Research Workshop ‘Digital Challenges in Innovation Research’. Available at SSRN 1622170, pp. 1-37. https://doi.org/10.2139/ssrn.1622170