Abstract
Modeling the enterprise within its environment is constantly gaining more relevance in research and practice. This holistic view can be formalized as business ecosystem models (BEM). However, the BEM management process is a challenging task, which involves several stakeholders in a data-intensive process. In this paper, we adapted an existing data-science approach and introduced a tool called Business Ecosystem Explorer (BEEx) for supporting the BEM management process in the context of connected mobility. The BEEx provides role-based user interfaces, which empower end-users to manage the BEM. The evaluation of the BEEx was conducted with twelve companies, indicating the usefulness of the BEEx when fulfilling BE related tasks.
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Bosch, J.: Speed, data, and ecosystems: The future of software engineering. IEEE Softw. 33(1), 82–88 (2016)
Park, H., Bellamy, M.A., Basole, R.C.: Visual analytics for supply network management: System design and evaluation. Decis. Support Syst. 91, 89–102 (2016)
Huhtamaki, J., Rubens, N.: Exploring innovation ecosystems as networks: Four european cases. In: Proceedings of the Annual Hawaii International Conference on System Sciences March 2016, pp. 4505–4514 (2016)
Basole, R.C., Huhtamäki, J., Still, K., Russell, M.G.: Visual decision support for business ecosystem analysis. Expert Syst. Appl. 65, 271–282 (2016)
Evans, P.C., Basole, R.C.: Revealing the api ecosystem and enterprise strategy via visual analytics. Commun. ACM 59(2), 26–28 (2016)
Adner, R.: The Wide Lens: What Successful Innovators See That Others Miss. Portfolio Penguin, New York (2013)
Satyanarayan, A., Heer, J.: Lyra: An interactive visualization design environment. Comput. Graphics Forum 33(3), 351–360 (2014)
Akiki, P.A., Bandara, A.K., Yu, Y.: Rbuis: Simplifying enterprise application user interfaces through engineering role-based adaptive behavior. In: Proceedings of the 5th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2013, pp. 3–12. ACM, NY, USA (2013)
Hevner, A.R.: A three cycle view of design science research. Scand. J. Inf. Syst. 19(2), 4 (2007)
Mitchell, W.: Reinventing the Automobile : Personal Urban Mobility for the 21st Century. Massachusetts Institute of Technology, Cambridge (2010)
Etherington, D., Kolodny, L.: Google’s self-driving car unit becomes waymo (2016). https://techcrunch.com/2016/12/13/googles-self-driving-car-unit-spins-out-as-waymo/ Accessed 23 Jan 2017
Taylor, M.: Apple confirms it is working on self-driving cars (2016). https://www.theguardian.com/technology/2016/dec/04/apple-confirms-it-is-working-on-self-driving-cars Accessed 23 Jan 2017
Matthes, F., Neubert, C.: Wiki4eam - using hybrid wikis for enterprise architecture management. In: Proceedings of the International Symposium on Wikis and Open Collaboration (2011)
Rehm, S., Reschenhofer, T., Shumaiev, K.: Is design principles for empowering domain experts in innovation: Findings from three case studies. In: Proceedings of the International Conference on Information Systems (2014)
Reschenhofer, T., Bhat, M., Hernandez-Mendez, A., Matthes, F.: Lessons learned in aligning data and model evolution in collaborative information systems. In: Proceedings of the 38th International Conference on Software Engineering Companion, ICSE 2016, pp. 132–141. ACM, NY, USA (2016)
Iyer, B.R., Basole, R.C.: Visualization to understand ecosystems. Commun. ACM 59(11), 27–30 (2016)
Satyanarayan, A., Russell, R., Hoffswell, J., Heer, J.: Reactive Vega: A streaming dataflow architecture for declarative interactive visualization. IEEE Trans. Vis. Comput. Graphics 22(1), 659–668 (2016)
Roberto Lucchi, M.M., Elfers, C.: Resource oriented architecture and rest. Eur - scientific and technical research series, EUR 23397 EN - Joint Research Centre - Institute for Environment and Sustainability
Weiss, R.: Learning from strangers : the art and method of qualitative interview studies. Free Press, New York (1995)
Gläser, J., Laudel, G.: Experteninterviews und qualitative Inhaltsanalyse: als Instrumente rekonstruierender Untersuchungen. VS Verlag für Sozialwiss, Wiesbaden (2010)
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Hernandez-Mendez, A., Faber, A., Matthes, F. (2017). Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case. In: Kirikova, M., et al. New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science, vol 767. Springer, Cham. https://doi.org/10.1007/978-3-319-67162-8_32
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DOI: https://doi.org/10.1007/978-3-319-67162-8_32
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