Advertisement

Improving the Front End of Innovation: The Case of Mobile Commerce Services

  • Karen CareyEmail author
  • Markus Helfert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9751)

Abstract

This paper builds on an earlier publication [1] where an Interactive Assessment, namely ‘The Mobile (M) Concept Assessment Instrument’ was proposed to assist with defining and evaluating m-Commerce (mobile) services in the early stages of creation (i.e. the innovative stages). The paper begins by proving a background to the research problem along with a brief overview of the M-Concept Assessment Instrument. This is followed by a description of the instruments implementation within two real-world m-Commerce organizations. This includes a description of the participant’s interaction with and use of the instrument. The paper then concludes with the results of the instruments implementation and its overall impact on the process for creating m-Commerce services.

Keywords

Innovation process Front end of innovation Mobile commerce services 

Notes

Acknowledgments

This research is funded by the Irish Research Council (IRC). The authors would like to acknowledge their support. Additionally, the authors would like to extend their appreciation to the participating organizations for their commitment to this research.

References

  1. 1.
    Carey, K., Helfert, M.: An interactive assessment instrument to improve the process for mobile service application innovation. In: Fui-Hoon Nah, F., Tan, C.-H. (eds.) HCIB 2015. LNCS, vol. 9191, pp. 244–255. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  2. 2.
    Akbar, H., Tzokas, N.: An exploration of new product development’s front-end knowledge conceptualization process in discontinuous innovations. Br. J. Manag. 24(2), 245–263 (2013)CrossRefGoogle Scholar
  3. 3.
    Aagaard, A., Gertsen, F.: Supporting radical front end innovation: perceived key factors of pharmaceutical innovation. Creativity Innov. Manag. 20(4), 330–346 (2011)CrossRefGoogle Scholar
  4. 4.
    Jörgensen, J.H., Bergenholtz, C., Goduscheit, R.C., Rasmussen, E.S.: Managing inter-firm collaboration in the fuzzy front-end: structure as a two-edged sword. Int. J. Innov. Manag. 15(01), 145–163 (2011)CrossRefGoogle Scholar
  5. 5.
    Carlsson, C., Rossi, M., Tuunainen, V.K., Walden, P., Hampe, J.F., Scornavacca, E., Tuunanen, T.: Introduction to mobile value services, mobile business and mobile cloud minitrack. In: 46th Hawaii International Conference on System Sciences, pp. 1323–1323. IEEE (2013) Google Scholar
  6. 6.
    Nikou, S., Mezei, J.: Evaluation of mobile services and substantial adoption factors with analytic hierarchy process (AHP). Telecommun. Policy 37(10), 915–929 (2013)CrossRefGoogle Scholar
  7. 7.
    Gao, S., Krogstie, J., Siau, K.: Developing an instrument to measure the adoption of mobile services. Mob. Inf. Syst. 7(1), 45–67 (2011)Google Scholar
  8. 8.
    Postma, T.J., Broekhuizen, T.L., Van den Bosch, F.: The contribution of scenario analysis to the front-end of new product development. Futures 44(6), 642–654 (2012)CrossRefGoogle Scholar
  9. 9.
    Poskela, J., Martinsuo, M.: Management control and strategic renewal in the front end of innovation. J. Prod. Innov. Manag. 26(6), 671–684 (2009)CrossRefGoogle Scholar
  10. 10.
    Sætre, A.S., Brun, E.: Strategic management of innovation: managing exploration-exploitation by balancing creativity and constraint. Int. J. Innov. Technol. Manag. 9(04), 1250025 (2012)CrossRefGoogle Scholar
  11. 11.
    Cooper, R.G.: Winning at New Products: Creating Value Through Innovation. Basic Books, New York (2011)Google Scholar
  12. 12.
    Ho, Y., Tsai, C.: Front end of innovation of high technology industries: the moderating effect of front-end fuzziness. J. High Technol. Manag. Res. 22(1), 47–58 (2011)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Verworn, B., Herstatt, C., Nagahira, A.: The fuzzy front end of Japanese new product development projects: impact on success and differences between incremental and radical projects. R&D Manag. 38(1), 1–19 (2008)CrossRefGoogle Scholar
  14. 14.
    Alam, I.: Removing the fuzziness from the fuzzy front-end of service innovations through customer interactions. Ind. Mark. Manag. 35(4), 468–480 (2006)CrossRefGoogle Scholar
  15. 15.
    Kim, J., Wilemon, D.: Strategic issues in managing innovation’s fuzzy front-end. Eur. J. Innov. Manag. 5(1), 27–39 (2002)CrossRefGoogle Scholar
  16. 16.
    Hannola, L., Ovaska, P.: Challenging front-end-of-innovation in information systems. J. Comput. Inf. Syst. 52(1), 66 (2011)Google Scholar
  17. 17.
    Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T., Ohlson, D.: Structured Decision Making: A Practical Guide to Environmental Management Choices. Wiley, Chichester (2012)CrossRefGoogle Scholar
  18. 18.
    Garvey, W.D.: Communication: The Essence of Science: Facilitating Information Exchange Among Librarians, Scientists, Engineers and Students. Elsevier, Burlington (2014)Google Scholar
  19. 19.
    Bouwman, H., De Vos, H., Haaker, T.: Mobile Service Innovation and Business Models. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  20. 20.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRefGoogle Scholar
  21. 21.
    Yin, R.K.: Case Study Research: Design and Methods. Sage Publications, Thousand Oaks (2013)Google Scholar
  22. 22.
    Fereday, J., Muir-Cochrane, E.: Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. Int. J. Qual. Meth. 5(1), 80–92 (2008)Google Scholar
  23. 23.
    Koen, P., Ajamian, G., Burkart, R., Clamen, A., Davidson, J., D’Amore, R., Elkins, C., Herald, K., Incorvia, M., Johnson, A.: Providing clarity and a common language to the. Res. Technol. Manag. 44(2), 46–55 (2001)Google Scholar
  24. 24.
    Cabantous, L., Gond, J., Johnson-Cramer, M.: Decision theory as practice: crafting rationality in organizations. Organ. Stud. 31(11), 1531–1566 (2010)CrossRefGoogle Scholar
  25. 25.
    Desanctis, G., Gallupe, R.B.: A foundation for the study of group decision support systems. Manag. Sci. 33(5), 589–609 (1987)CrossRefGoogle Scholar
  26. 26.
    Schwenk, C.R.: Cognitive simplification processes in strategic decision-making. Strateg. Manag. J. 5(2), 111–128 (1984)CrossRefGoogle Scholar
  27. 27.
    Marques, G., Gourc, D., Lauras, M.: Multi-criteria performance analysis for decision making in project management. Int. J. Proj. Manag. 29(8), 1057–1069 (2011)CrossRefGoogle Scholar
  28. 28.
    MacKenzie, D.: Is economics performative? Option theory and the construction of derivatives markets. J. Hist. Econ. Thought 28(1), 29–55 (2006)MathSciNetCrossRefGoogle Scholar
  29. 29.
    Morville, P.: Facets of the User Experience. Semantic Studios (2004). http://semanticstudios.com/user_experience_design/

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of ComputingDublin City UniversityDublin 9Ireland

Personalised recommendations