Abstract
The automotive industry is mainly characterized by shorter product life cycles, ever-growing competitive pressure, significant technological advances and massive changes in the political, technological and sociocultural environment. Therefore, innovation management as an enabler for product, process and business model innovations is becoming more and more important in the automotive industry, a statement which is confirmed by massive increase in innovation expenditure. This paper discusses specific innovation methods related to three cooperation fields: supplier, customer and in-house. The research project, presented in this paper, ascertains their particular implementation level in the automotive industry. One of the findings is the growing significance of the in-house innovation method Big Data as a result of enormous data volume increase. Consequently, the Automotive Big Data Platform (ABDP) Reference Architecture is presented in this paper. Big Data will enable the automotive industry to cope with the challenges.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
EBSCO Host Business Source Premier, selection: Title, Abstract or Keywords
References
Strategy& 2018: The Global Innovation 1000 – What the top innovators get right (2018). https://www.strategy-business.com/media/file/sb93-What-the-Top-Innovators-Get-Right.pdf. Accessed Feb 2018
Oliver Wyman 2018: FAST 2030 – Future Automotive Industry Structure until 2030. https://www.oliverwyman.com/our-expertise/insights/2018/jun/fast-2030.html. Accessed Feb 2018
Statista 2019: Trends in der Automobilindustrie. http://de.statista.com/. Accessed Feb 2018
Statista 2019: Weltweite Automobilindustrie. http://de.statista.com/. Accessed Feb 2018
BCG 2016: What’s ahead for car sharing? http://image-src.bcg.com/Images/BCG-Whats-Ahead-for-Car-Sharing-Feb-2016_tcm9-64441.pdf. Accessed Feb 2018
Roland Berger 2016: The CPO Agenda 2016. https://www.rolandberger.com/en/Publications/CPO-Agenda-2016.html. Accessed Feb 2018
Ili, S., Albers, A., Miller, S.: Open innovation in the automotive industry. In: R&D Management 4.0 (2010)
Chesbrough, H.: Open Innovation: The New Imperative for Creating and Profiting From Technology. Harvard Business School Publishing, Boston (2003)
Richter, K., Witt, N.: Introduction. In: Richter, K., Walther, J. (eds.) Supply Chain Integration Challenges in Commercial Aerospace, pp. 1–17. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-46155-7
Lüke, K.-H., Walther, J., Wäldchen, D.: Innovation management methods in the aviation industry. In: Hodoň, M., Eichler, G., Erfurth, C., Fahrnberger, G. (eds.) I4CS 2018. CCIS, vol. 863, pp. 161–177. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93408-2_12
Adamczyk, S., Bullinger, A.C., Möslein, K.: Innovation contests: a review, classification and outlook. Creat. Innov. Manag. 21(4), 335–336 (2012)
Dahlander, L., O’Mahony, S.: A Study Shows How to Find New Ideas Inside and Outside the Company (2017). https://hbr.org/2017/07/a-study-shows-how-to-find-new-ideas-inside-and-outside-the-company. Accessed 22 Feb 2018
Bullinger, H-J., Warschat, J.: Innovationmanagement in Netzwerken. In: Garcia Sanz, F.-J., Semmler, K., Walther, J. (Hrsg.) Die Automobilindustrie auf dem Weg zur globalen Netzwerkkompetenz, Heidelberg, S. 109–127 (2007)
Fichter, K., Beucker, F.: Innovation Communities, Promotorennetzwerke als Erfolgsfaktor bei radikalen Innovationen, Stuttgart (2008). https://www.borderstep.de/wp-content/uploads/2014/07/Fichter-Beucker-Innovation_Communities_Promotorennetzwerke_als_Erfolgsfaktor_bei_radikalen_Innovationen-2008.pdf. Accessed 22 Feb 2018
Schmolze, R.: Unternehmen Idee, Wie kundenorientierte Produktentwicklung zum Erfolg führt, Frankfurt/New York (2011)
Blattberg, R., Golanty, J.: Tracker: An Early Test Market Forecasting and Diagnostic Model for New Product Planning, Perspective on Promotion and Database, pp. 177–187 (2010). https://doi.org/10.1142/9789814287067_0011. Accessed 22 Feb 2018
Katsikis, N., Lang, A., Debreceny, C.: Evaluation of open innovation in B2B from company culture perspective. J. Technol. Manag. Innov. 32(3), 95–100 (2016)
Breuer, H., Steinhoff, F., Wogatzky, M.: User Clinic Formate und ihr Beitrag zur Innovationserfolgsrechnung. In: Schmeisser, W. (Hrsg.) Technologiemanagement und Innovationserfolgsrechnung, S. 1–23 (2010)
Steinhoff, F.: Tools for User-driven innovation at Deutsche Telekom Laboratories. In: Arnold, H., Erner, M., Möckel, P., Schläffer, C. (eds.) Applied Technology- and Innovation Management, pp. 72–88. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-540-88827-7_8
Chapodos, J., Desmond, K., Schlett, Ch.: Creating a Suggestion System as part of a Continous Improvement Initiative (2014). https://toyotaproductionsystemus.wordpress.com/2014/04/18/creating-a-suggestion-system-as-part-of-a-continuous-improvement-initiative. Accessed 22 Feb 2018
Höber, B.: Firm Internal Innovation Contests, Work Environment Perceptions am Employees’ Participation, pp. 18–59 (2017). http://springer.com/978-3-658-17491-0.2017. Accessed 22 Feb 2018
Barbour, M.: How to run an ideation workshop that actually leads to innovation (2016). https://ozcontent.com/blog/how-to-lead-an-ideation-workshop-that-results-in-innovation. Accessed 22 Feb 2018
Durance, Ph, Godet, M.: Sceanrio building: uses and abuses. Technol. Forecast. Soc. Change 77, 1488–1492 (2010)
Oliveira, M.G., Rozenfeld, H.: Integrating technology roadmapping and portfolio management at the front-end of new product development. Technol. Forecast. Soc. Change 77(8), 1339–1354 (2010)
UN Global Pulse: Big Data for Development: Challenges & Opportunities, May 2012. Accessed Feb 2018
Lüke, K.-H., Kapitány, D.: Business (lead) customer involvement in the innovation process. In: Arnold, H., Erner, M., Möckel, P., Schläffer, C. (eds.) Applied Technology- and Innovation Management, pp. 59–71. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-540-88827-7_7
Rohrbeck, R., Thom, N., Arnold, H.: IT tools for foresight: the integrated insight and response system of Deutsche Telekom Innovation Laboratories. Technol. Forecast. Soc. Change 97, 115–126 (2015)
Statista 2019: Prognose zum Umsatz mit Big-Data-Lösungen weltweit von 2014 bis 2026 (in Milliarden US-Dollar). http://de.statista.com/. Accessed Feb 2019
Backhaus, K., et al.: Multivariate Analysemethoden. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-46076-4
Statista 2019: Inwieweit setzt Ihr Unternehmen bereits Big-Data-Lösungen ein bzw. plant oder diskutiert diese zukünftig zu nutzen? http://de.statista.com/. Accessed Feb 2019
Johanson, M., et al.: Big Automotive Data – Leveraging large volumes of data for knowledge-driven product development. In: 2014 IEEE International Conference on Big Data (Big Data), pp. 736–741 (2014)
Haroun, A., et al.: A big data architecture for automotive applications: PSA group deployment experience. In: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), Madrid, pp. 921–928 (2017)
Luckow, A., et al.: Automotive big data: applications, workloads and infrastructures. In: 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, pp. 1201–1210 (2015)
Wozniak, P., et al.: Volvo single view of vehicle – building a big data service from scratch in the automotive industry. In: CHI Extended Abstracts (2015)
Plappert, C., et al.: A privacy-aware data access system for automotive applications. In: 15th ESCAR Embedded Security in Cars Conference, Berlin (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Lüke, KH., Walther, J., Wäldchen, D., Royer, D. (2019). Innovation Management Methods in the Automotive Industry. In: Lüke, KH., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2019. Communications in Computer and Information Science, vol 1041. Springer, Cham. https://doi.org/10.1007/978-3-030-22482-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-22482-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22481-3
Online ISBN: 978-3-030-22482-0
eBook Packages: Computer ScienceComputer Science (R0)