Advertisement

End User Involvement in the Big Data Based Service Development Process

  • Rui CarreiraEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 167)

Abstract

Even though extant research has addressed end user involvement in the process of Information Systems’ Development within a Smart City environment, it has not done it in its early or Fuzzy Front End phase. Therefore, this paper promotes and describes a concrete big data based service process in which end users and other individual stakeholders are involved since the early phases of development. Researchers used this end user data to define which part of the big data would be opened for developers and citizens in future stages of the project.

Keywords

User requirements Service development Big data 

Notes

Acknowledgements

This work was funded by the European Union under the 7th Framework Programme for Research and Innovation (FP7-REGPOT-2012-2013-1, Future Cities project, grant number 316296).

References

  1. 1.
    Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)CrossRefGoogle Scholar
  2. 2.
    Khurana, A., Rosenthal, S.R.: Integrating the fuzzy front end of new product development. Sloan Manag. Rev. 38(2), 103–120 (1997). Winter97Google Scholar
  3. 3.
    Caragliu, A., Bo, C.D., Nijkamp, P.: Smart cities in Europe. In: 3rd Central European Conference in Regional Science—CERS, Košice, Slovak Republic, 7–9 October 2009 (2009)Google Scholar
  4. 4.
    Bresnahan, T.F., Trajtenberg, M.: General purpose technologies ‘engines of growth’? J. Econom. 65(1), 83–108 (1995)CrossRefGoogle Scholar
  5. 5.
    Schaffers, H., Sallstrom, A., Pallot, M., Hernandez-Munoz, J.M., Santoro, R., Trousse, B.: Integrating living labs with future internet experimental platforms for co-creating services within smart cities, pp. 1–11Google Scholar
  6. 6.
    He, J., King, W.R.: The role of user participation in information systems development: implications from a meta-analysis. J. Manag. Inf. Syst. 25(1), 301–331 (2008)CrossRefGoogle Scholar
  7. 7.
    Chen, C.C., Liu, J.Y.-C., Chen, H.-G.: Discriminative effect of user influence and user responsibility on information system development processes and project management. Inf. Softw. Technol. 53(2), 149–158 (2011)CrossRefGoogle Scholar
  8. 8.
    Carreira, R., Patrício, L., Natal Jorge, R., Magee, C.: Development of an extended Kansei engineering method to incorporate experience requirements in product-service system design. J. Eng. Des. 24(10), 738–764 (2013)CrossRefGoogle Scholar
  9. 9.
    Goodall, W., Dixon, S., Fishman, T., Perricos, C.: Transport in the Digital Age—Disruptive Trends for Smart Mobility. Deloitte (2015)Google Scholar
  10. 10.
    Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manag. 29(4), 258–268 (2012)CrossRefGoogle Scholar
  11. 11.
    Strauss, A., Corbin, J.: Basics of Qualitative Research, 2nd edn. Sage, Thousand Oaks (1998)Google Scholar
  12. 12.
    Bergman, B., Klefsjo, B.: Quality: From Customer Needs to Customer Satisfaction, Lund. McGraw-Hill, Sweden (1994)Google Scholar
  13. 13.
    Luis, Y., Santos, P.M., Lourenco, T., Pérez-Penichet, C., Calcada, T., Aguiar, A.: UrbanSense: an urban-scale sensing platform for the internet of things. In: 2016 IEEE International Smart Cities Conference (ISC2), pp. 1–6Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Research Centre N2i, Polytechnic Institute of Maia (IPMaia)MaiaPortugal

Personalised recommendations