Skip to main content
SpringerLink
Log in

Analyzing Actor Engagement in Data-Driven Business Models Innovation in the Context of Smart Cities by Creating a Common Understanding

  • Conference paper
  • First Online:
Advances in the Human Side of Service Engineering (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 266))

Included in the following conference series:

  • 1402 Accesses

Abstract

Since the advancing digitization, the amount of data increases exponentially and the potential to use this data to innovate data-driven business models is high. In the city, in particular, the new technologies generate large amounts of data that can be used to make a city smarter. However, the process of innovating new data-driven business models is complex and not trivial to create a shared understanding between the different involved actors. Our research shows that the link between data and the citizen's value proposition is not clear and requires specific steps in between. To support such processes, this work develops a graphical artifact for the Smart City area. Firstly, we supplement the existing knowledge of data-driven Smart City Services and lay the foundation for further concepts in this area. Second, the artifact can be used in practice to make their city smarter and to innovate data-driven business models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hashem, I.A.T., et al.: The role of big data in smart city. Int. J. Inf. Manage. 36, 748–758 (2016)

    Article  Google Scholar 

  2. Woetzel, J., et al.: Smart Cities: Digital Solutions for a More Livable Future, pp. 1–152 . McKinsey Global Institute, New York (2018)

    Google Scholar 

  3. Bifulco, F., Tregua, M.: Service innovation and smart cities: linking the perspectives. In: Russo-Spena, T, Mele, C., Nuutinen, M. (eds.) Innovating in Practice Perspectives and Experiences, pp. 261–287. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-43380-6_12

  4. Schüritz, R., Seebacher, S., Dorner, R.: Capturing value from data: revenue models for data-driven services. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 5348–5357 (2017)

    Google Scholar 

  5. Chourabi, H., et al.: Understanding smart cities: an integrative framework. In: 45th Hawaii International Conference on System Sciences, pp. 2289–2297. IEEE (2012)

    Google Scholar 

  6. Giourka, P., et al.: The smart city business model canvas—a smart city business modeling framework and practical tool. Energies 12, 4798 (2019)

    Article  Google Scholar 

  7. Cheng, B., Longo, S., Cirillo, F., Bauer, M., Kovacs, E.: Building a big data platform for smart cities: experience and lessons from santander. In: IEEE International Congress on Big Data, pp. 592–599. IEEE (2015)

    Google Scholar 

  8. Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, New York (2010)

    Google Scholar 

  9. John, T., Szopinski, D.: Towards explaining the popularity of the business model canvas: a dual coding approach. In: Multikonferenz Wirtschaftsinformatik, pp. 1509–1515 (2018)

    Google Scholar 

  10. Abella, A., Ortiz-de-Urbina-Criado, M., De-Pablos-Heredero, C.: A methodology to design and redesign services in smart cities based on the citizen experience. Inf. Polity 24, 183–197 (2019)

    Article  Google Scholar 

  11. Liu, N., Gavino, A., Purao, S.: A method for designing value-infused citizen services in smart cities. In: Proceedings of the 15th Annual International Conference on Digital Government Research, pp. 34–43 (2014)

    Google Scholar 

  12. Kühne, B., Böhmann, T.: Data-driven business models - building the bridge between data and value. In: 27th European Conference on Information SystemsStockholm, Sweden (2019)

    Google Scholar 

  13. Kühne, B., Böhmann, T.: Formative evaluation of data-driven business models–the data insight generator. In: Proceedings of the 53rd Hawaii International Conference on System Sciences, pp. 427–436 (2020)

    Google Scholar 

  14. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manage. Inf. Syst. 24, 45–77 (2007)

    Article  Google Scholar 

  15. Chen, Y., Kreulen, J., Campbell, M., Abrams, C.: Analytics ecosystem transformation: a force for business model innovation. In: SRII Global Conference (SRII), pp. 11–20, IEEE (2011)

    Google Scholar 

  16. Hartmann, P.M., Zaki, M., Feldmann, N., Neely, A.: Big Data For Big Business? A Taxonomy of Data-Driven Business Models Used by Start-up Firms. Cambridge University (2014)

    Google Scholar 

  17. Kronsbein, T., Mueller, R.: Data thinking: a canvas for data-driven ideation workshops. In: Proceedings of the 52nd Hawaii International Conference on System Sciences, pp. 561–570 (2019)

    Google Scholar 

  18. Hunke, F., Schüritz, R.: Smartere Produkte durch analysebasierte Dienstleistungen-Ein methodisches Werkzeug zur strukturierten Entwicklung. HMD Praxis der Wirtschaftsinformatik 56, 514–529 (2019)

    Article  Google Scholar 

  19. Hunke, F., Wambsganß, T.: Turning data into value: towards an ideation tool for key activities of data-driven business models. In: 3rd Karlsruhe Service Summit Research Workshop (2017)

    Google Scholar 

  20. Mathis, K., Köbler, F.: Data-need fit–towards data-driven business model innovation. In: Service Design Geographies. Proceedings of the ServDes. 2016 Conference, pp. 458–467. Linköping University Electronic Press (2016)

    Google Scholar 

  21. Zolnowski, A., Anke, J., Gudat, J.: Towards a cost-benefit-analysis of data-driven business models. In: International Conference on Wirtschaftsinformatik, pp. 181–195, St. Gallen, Switzerland (2017)

    Google Scholar 

  22. Shelton, T., Zook, M., Wiig, A.: The ‘Actually Existing Smart City.’ Cambridge J. Regions, Econ. Soc. 8, 13–25 (2015)

    Article  Google Scholar 

  23. Alawadhi, S., et al.: Building understanding of smart city initiatives. In: Scholl, H.J., Janssen, M., Wimmer, M.A., Moe, C.E., Flak, L.S. (eds.) EGOV 2012. LNCS, vol. 7443, pp. 40–53. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33489-4_4

    Chapter  Google Scholar 

  24. Castelnovo, W., Misuraca, G., Savoldelli, A.: Smart cities governance: the need for a holistic approach to assessing urban participatory policy making. Soc. Sci. Comput. Rev. 34, 724–739 (2016)

    Article  Google Scholar 

  25. Lusch, R.F., Nambisan, S.: Service innovation: a service-dominant logic perspective. MIS Q. 39, 155–175 (2015)

    Article  Google Scholar 

  26. Paskaleva, K., Evans, J., Martin, C., Linjordet, T., Yang, D., Karvonen, A.: Data governance in the sustainable smart city. In: Informatics, p. 41. Multidisciplinary Digital Publishing Institute (2017)

    Google Scholar 

  27. Lim, C., Maglio, P.P.: Data-driven understanding of smart service systems through text mining. Serv. Sci. 10, 154–180 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. IT-Management and -Consulting, University of Hamburg, Vogt-Kölln-Straße 30, 22527, Hamburg, Germany

    Babett Kühne

  2. Business Informatics and Integrated Information Systems, University of Duisburg-Essen, Universitätsstraße 9, 45141, Essen, Germany

    Michel Muschkiet

Authors
  1. Babett Kühne
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michel Muschkiet
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Babett Kühne .

Editor information

Editors and Affiliations

  1. Centre for Economics and Public Administration, London, UK

    Christine Leitner

  2. Fraunhofer IAO, Stuttgart, Baden-Württemberg, Germany

    Walter Ganz

  3. California State University, Orange, CA, USA

    Debra Satterfield

  4. University of Naples Parthenope, Avellino, Italy

    Clara Bassano

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kühne, B., Muschkiet, M. (2021). Analyzing Actor Engagement in Data-Driven Business Models Innovation in the Context of Smart Cities by Creating a Common Understanding. In: Leitner, C., Ganz, W., Satterfield, D., Bassano, C. (eds) Advances in the Human Side of Service Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-80840-2_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80840-2_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80839-6

  • Online ISBN: 978-3-030-80840-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation