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Effective Innovation Implementation of Mechatronic Product-Service Systems Considering Socio-Technical Aspects

Part of: Product-Service-System (PSS) Design

Published online by Cambridge University Press:  26 July 2019

Gennadiy Dmitrovic Koltun ,
Carlos Alberto Romero Viturro ,
Johan Buchholz ,
Juliane Wissel ,
Michael Zaggl ,
Felix Ocker  and
Birgit Vogel-Heuser
Gennadiy Dmitrovic Koltun*
Affiliation:
Technische Universität München, Munich, Germany
Carlos Alberto Romero Viturro
Affiliation:
Universidade de Vigo, Vigo, Spain
Johan Buchholz
Affiliation:
Technische Universität München, Munich, Germany
Juliane Wissel
Affiliation:
Technische Universität München, Munich, Germany
Michael Zaggl
Affiliation:
Technische Universität München, Munich, Germany
Felix Ocker
Affiliation:
Technische Universität München, Munich, Germany
Birgit Vogel-Heuser
Affiliation:
Technische Universität München, Munich, Germany
*
Contact: Koltun, Gennadiy Dmitrovic Technische Universität München Institute of Automation and Information Systems Germany [email protected]

Abstract

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It is estimated that about half of all innovations, such as innovations in mechatronic product-service systems (PSS), fail to deliver the expected benefits to the adopting organization. Different studies point out that one of the main reasons for this is an ineffective implementation process.

In this paper, we argue that, apart from several organizational challenges, insufficient integration of technical and social aspects is one of the reasons for ineffective innovation implementation in the environment of mechatronic PSS.

In order to remedy this weakness, this paper builds on the work of interdisciplinary research collaboration. Experts from technical, socio-technical, and management fields integrate their work within a conceptual innovation implementation management system (IIMS). This IIMS is capable of capturing various methods and models that foster the socio-technical integration in mechatronic PSS. The approach is assessed in a lab-scale demonstration case that is representative of industrial environments.

The presented approach supports an effective innovation implementation process, while the IIMS facilitates individual alignments for future practitioners.

Keywords

Product-Service Systems (PSS)MechatronicsDesign engineeringInnovation ImplementationSocio-technial Innovation Design
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3051 - 3060
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Adolfsson, E. T., Smide, B., Gregeby, E., Fernström, L. and Wikblad, K. (2004), “Implementing empowerment group education in diabetes”, Patient Education and Counseling 53(3): 319–324. https://doi.org/10.1016/j.pec.2003.07.009Google Scholar
Aiman-Smith, L. and Green, S. G. (2002), “Implementing new manufacturing technology: The related effects of technology characteristics and user learning activities”, Academy of Management Journal 45(2): 421–430. https://doi.org/10.5465/3069356Google Scholar
Amaya, A. A., Liao, Y.-K. and Chang, S. (2018), “The effects of innovation implementation and speed to market on the relationship between team sense-making, trust, and npd success”, International Journal of Innovation Management p. 1950029. https://doi.org/10.1142/S1363919619500294Google Scholar
Aurich, J. C., Fuchs, C. and Wagenknecht, C. (2006), “Life cycle oriented design of technical product-service systems”, Journal of Cleaner Production 14(17): 1480–1494. https://doi.org/10.1016/j.jclepro.2006.01.019Google Scholar
Avgerou, C. (2001), “The significance of context in information systems and organizational change”, Information systems journal 11(1): 43–63. https://doi.org/10.1046/j.1365-2575.2001.00095.xGoogle Scholar
Browning, T. R. (2001), “Applying the design structure matrix to system decomposition and integration problems: a review and new directions”, IEEE Transactions on Engineering management 48(3): 292–306. https://doi.org/10.1109/17.946528Google Scholar
CEN 2013. Innovation management - part 1: Innovation management system”, Standard CEN/TS 165555-1:2013, European Committee for Standardization. https://standards.cen.eu/Google Scholar
Dong, L., Neufeld, D. J. and Higgins, C. (2008), “Testing klein and sorra's innovation implementation model: an empirical examination”, Journal of Engineering and Technology Management 25(4): 237–255. https://doi.org/10.1016/j.jengtecman.2008.10.006Google Scholar
Eckerson, W. W. (2006), “Creating effective kpis”, Information Management 16(6): 15.Google Scholar
Edmondson, A. C., Bohmer, R. M. and Pisano, G. P. (2001), “Disrupted routines: Team learning and new technology implementation in hospitals”, Administrative Science Quarterly 46(4): 685–716. https://doi.org/10.2307/3094828Google Scholar
Feldmann, S., Kernschmidt, K. and Vogel-Heuser, B. (2014), “Combining a sysml-based modeling approach and semantic technologies for analyzing change influences in manufacturing plant models”, Procedia CIRP 17: 451–456. https://doi.org/10.1016/j.procir.2014.01.140Google Scholar
Fricke, E., Gebhard, B., Negele, H. and Igenbergs, E. (2000), “Coping with changes: causes, findings, and strategies”, Systems Engineering pp. 169–179.10.1002/1520-6858(2000)3:4<169::AID-SYS1>3.0.CO;2-W3.0.CO;2-W>Google Scholar
Friedberg, E. (1997), Local orders: dynamics of organized action”, Jai Press.Google Scholar
Gunasekaran, A., Marri, H. B., McGaughey, R. and Grieve, R. (2001), “Implications of organization and human behaviour on the implementation of cim in smes: an empirical analysis”, International Journal of Computer Integrated Manufacturing 14(2): 175–185. https://doi.org/10.1080/09511920150216297Google Scholar
ISO (2001), “Guidelines for quality management system documentation. Standard ISO/TR 10013:2001, International Organization for Standardization. https://www.iso.org/standard/26978.html/Google Scholar
ISO (2015), “Quality management systems – requirements. Standard ISO 9001:2015, International Organization for Standardization. https://www.iso.org/standard/46486.htmlGoogle Scholar
Kernschmidt, K. and Vogel-Heuser, B. (2013), “An interdisciplinary SysML based modeling approach for analyzing change influences in production plants to support the engineering. IEEE CASE, Madison, US-WI. https://doi.org/10.1109/CoASE.2013.6654030Google Scholar
Klein, K. J., Conn, A. B. and Sorra, J. S. (2001), “Implementing computerized technology: An organizational analysis”, Journal of Applied Psychology 86(5): 811. https://doi.org/10.1037/0021-9010.86.5.811Google Scholar
Klein, K. J. and Knight, A. P. (2005), “Innovation implementation: Overcoming the challenge”, Current directions in psychological science 14(5): 243–246. https://doi.org/10.1111/j.0963-7214.2005.00373.xGoogle Scholar
Klein, K. J. and Sorra, J. S. (1996), “The challenge of innovation implementation”, Academy of management review 21(4): 1055–1080. https://doi.org/10.5465/amr.1996.9704071863Google Scholar
Koltun, G., Neumann, E.-M., Kattner, N., Bauer, H., Lindemann, U., Reinhart, G. and Vogel-Heuser, B. (2018), Cyclic Management of Innovative PSS Changes: An Integrated and Interdisciplinary Engineering View, 2018 IEEE International Systems Engineering Symposium (ISSE), IEEE. https://doi.org/10.1109/SysEng.2018.8544384Google Scholar
Langer, S. F. and Lindemann, U. (2009), “Managing cycles in development processes-analysis and classification of external context factors”, DS 58-1: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 1, Design Processes, Palo Alto, CA, USA, 24.-27.08. 2009, pp. 539–550.Google Scholar
McGrath, R. G., Tsai, M.-H., Venkataraman, S. and MacMillan, I. C. (1996), “Innovation, competitive advantage and rent: a model and test”, Management Science 42(3): 389–403. https://doi.org/10.1287/mnsc.42.3.389Google Scholar
Manfred, Moldaschl, (2007), “Institutional Reflexivity - An institutional approach to measure innovativeness of firms”, Papers and Preprints of the Department of Innovation Research and Sustainable Resource Management 2/2007. http://archiv.tu-chemnitz.de/pub/2007/0180Google Scholar
Moore, J. E., Mascarenhas, A., Bain, J. and Straus, S. E. (2017), “Developing a comprehensive definition of sustainability”, Implementation Science 12(1): 110. https://doi.org/10.1186/s13012-017-0637-1Google Scholar
Neely, A. (2007), “The servitization of manufacturing: an analysis of global trends, 14th European Operations Management Association Conference, Turkey Ankara, pp. 1–10. https://doi.org/10.1.1.505.2210Google Scholar
OECD E. (2005), “Oslo manual”, Guidelines for Collecting and Interpreting Innovation Data. https://doi.org/10.1787/9789264013100-enGoogle Scholar
Reif, J., Koltun, G., Drewlani, T., Zaggl, M., Kattner, N., Dengler, C., Basirati, M., Bauer, H., Krcmar, H., Kugler, K., Brodbeck, F., Lindemann, U., Lohmann, B., Meyer, U., Reinhart, G. and Vogel-Heuser, B. (2017), “Modeling as the basis for innovation cycle management of PSS: Making use of interdisciplinary models”, 2017 IEEE International Systems Engineering Symposium (ISSE), IEEE, pp. 371–376. https://doi.org/10.1109/SysEng.2017.8088310Google Scholar
Repenning, N. P. (2002), “A simulation-based approach to understanding the dynamics of innovation implementation”, Organization Science 13(2): 109–127. https://doi.org/10.1287/orsc.13.2.109.535Google Scholar
Teece, D. J. (1986), “Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy”, Research policy 15(6): 285–305. https://doi.org/10.1016/0048-7333(86)90027-2Google Scholar
Vogel-Heuser, B., Legat, C., Folmer, J. and Feldmann, S. (2014), “Researching Evolution in Industrial Plant Automation: Scenarios and Documentation of the Pick and Place Unit”, Technical Report TUM-AIS-TR-01-14-02, Technische Universität München. https://mediatum.ub.tum.de/node?id=1208973Google Scholar
Zaggl, M., Schweisfurth, T. and Herstatt, C. (2019), “The dynamics of openness and the role of user communities: A case study in the ecosystem of open source gaming handhelds”, IEEE Transactions on Engineering Management.Google Scholar