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Service Interaction Flow Analysis Technique for Service Personalization

  • Olli KorhonenEmail author
  • Anna-Liisa Syrjänen
  • Marianne Kinnula
  • Minna Isomursu
  • Kari Kuutti
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 294)

Abstract

Service interaction flows are difficult to capture, analyze, outline, and represent for research and design purposes. We examine how variation of personalized service flows in technology-mediated service interaction can be modeled and analyzed to provide information on how service personalization could support interaction. We have analyzed service interaction cases in a context of technology-mediated car rental service. With the analysis technique we propose, inspired by Interaction Analysis method, we were able to capture and model the situational service interaction. Our contribution regarding technology-mediated service interaction design is twofold: First, with the increased understanding on the role of personalization in managing variation in technology-mediated service interaction, our study contributes to designing service management information systems and human-computer interfaces that support personalized service interaction flows. Second, we provide a new analysis technique for situated interaction analysis, particularly when the aim is to understand personalization in service interaction flows.

Keywords

Service personalization Service interaction Service management information system Interaction flow Interaction analysis 

References

  1. 1.
    Aguilar-Saven, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90(2), 129–149 (2004)CrossRefGoogle Scholar
  2. 2.
    Barbosa, M.A., Barbosa, L.S.: A perspective on service orchestration. Sci. Comput. Program. 74(9), 671–687 (2009)MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Benbasat, I.: HCI research: future challenges and directions. AIS Trans. Hum. Comput. Interact. 2(2), 16–21 (2010)CrossRefGoogle Scholar
  4. 4.
    Bitner, M.J., Ostrom, A.L., Morgan, F.N.: Service blueprinting: a practical technique for service innovation. Calif. Manag. Rev. 50(3), 66–94 (2008)CrossRefGoogle Scholar
  5. 5.
    Bødker, S., Christiansen, E.: Designing for ephemerality and prototypicality. In: Proceedings of the 5th Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 255–260 (2004)Google Scholar
  6. 6.
    Bosilj-Vuksic, V., Giaglis, G.M., Hlupic, V.: IDEF diagrams and petri nets for business process modeling: suitability, efficacy, and complementary use. In: Sharp, B., Filipe, J., Cordeiro, J. (eds.) Enterprise Information Systems II, pp. 143–148. Springer, Dordrecht (2001)CrossRefGoogle Scholar
  7. 7.
    Büscher, M., Gill, S., Mogensen, P., Shapiro, D.: Landscapes of practice: bricolage as a method for situated design. Comput. Support. Coop. Work. 10(1), 1–28 (2001)CrossRefGoogle Scholar
  8. 8.
    Campbell, C.S., Maglio, P.P., Davis, M.M.: From self-service to super-service: a resource mapping framework for co-creating value by shifting the boundary between provider and customer. Inf. Syst. E-bus. Manag. 9(2), 173–191 (2011)CrossRefGoogle Scholar
  9. 9.
    Concilio, G., Deserti, A., Rizzo, F.: Exploring the interplay between urban governance and smart services codesign. Interact. Des. Archit. 20, 33–47 (2014)Google Scholar
  10. 10.
    De Blok, C., Meijboom, B., Luijkx, K., Schols, J.: The human dimension of modular care provision: opportunities for personalization and customization. Int. J. Prod. Econ. 142(1), 16–26 (2013)CrossRefGoogle Scholar
  11. 11.
    Ekelin, A., Eriksén, S.: Citizen-driven design: leveraging participatory design of e-government 2.0 through local and global collaborations. In: Boughzala, I., Janssen, M., Assar, S. (eds.) Case Studies in e-Government 2.0, pp. 67–85. Springer, Cham (2015). doi: 10.1007/978-3-319-08081-9_5 Google Scholar
  12. 12.
    Finn, K.E., Sellen, A.J., Wilbur, S.B.: Video-mediated communication. Lawrence Erlbaum Associates, Hillsdale NJ (1997)Google Scholar
  13. 13.
    Gabbott, M., Tsarenko, Y., Mok, W.H.: Emotional intelligence as a moderator of coping strategies and service outcomes in circumstances of service failure. J. Serv. Res. 14(2), 234–248 (2011)CrossRefGoogle Scholar
  14. 14.
    Glushko, R.J.: Seven contexts for service system design. In: Maglio, P.P., Kieliszewski, C.A., Spohrer, J.C. (eds.) Handbook of Service Science, pp. 219–249. Springer, New York (2010)CrossRefGoogle Scholar
  15. 15.
    Gwinner, K.P., Bitner, M.J., Brown, S.W., Kumar, A.: Service customization through employee adaptiveness. J. Serv. Res. 8(2), 131–148 (2005)CrossRefGoogle Scholar
  16. 16.
    Ho, S.Y., Bodoff, D., Tam, K.Y.: Timing of adaptive web personalization and its effects on online consumer behavior. Inf. Syst. Res. 22(3), 660–679 (2011)CrossRefGoogle Scholar
  17. 17.
    Holfelder, W., Hebmann, D.A.: Networked multimedia retrieval management system for distributed kiosk applications. In: ICMCS, pp. 343–351 (1994)Google Scholar
  18. 18.
    Iivari, N., Kinnula, M., Kuure, L.: With best intentions–a Foucauldian examination on children’s genuine participation in ICT design. Inf. Technol. People 28(2), 246–280 (2015)CrossRefGoogle Scholar
  19. 19.
    Jordan, B., Henderson, A.: Interaction analysis: foundations and practice. J. Learn. Sci. 4(1), 39–103 (1995)CrossRefGoogle Scholar
  20. 20.
    Kane, B., Luz, S.: Multidisciplinary medical team meetings: an analysis of collaborative working with special attention to timing and teleconferencing. Comput. Support. Coop. Work 15(5–6), 501–535 (2006)Google Scholar
  21. 21.
    Kellogg, D.L., Nie, W.: A framework for strategic service management. J. Oper. Manag. 13(4), 323–337 (1995)CrossRefGoogle Scholar
  22. 22.
    Kiepuszewski, B., Hofstede, A.H.M., Bussler, Christoph J.: On structured workflow modelling. In: Wangler, B., Bergman, L. (eds.) CAiSE 2000. LNCS, vol. 1789, pp. 431–445. Springer, Heidelberg (2000). doi: 10.1007/3-540-45140-4_29 CrossRefGoogle Scholar
  23. 23.
    Klein, H.K., Myers, M.D.: A set of principles for conducting and evaluating interpretive field studies in information systems. MIS Q. 23(1), 67–93 (1999)CrossRefGoogle Scholar
  24. 24.
    Kuutti, K., Bannon, L.J.; The turn to practice in HCI: towards a research agenda. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 3543–3552 (2014)Google Scholar
  25. 25.
    Lee, M.K., Forlizzi, J.: Designing adaptive robotic services. In: Proceedings of IASDR’09 (2009)Google Scholar
  26. 26.
    Leinonen, E., Syrjänen, A., Isomursu, M.: Designing assistive and cooperative HCI for older adults’ movement. In: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, pp. 877–882 (2014)Google Scholar
  27. 27.
    Löwgren, J., Reimer, B.: The computer is a medium, not a tool: collaborative media challenging interaction design. Challenges 4(1), 86–102 (2013)CrossRefGoogle Scholar
  28. 28.
    Milanovic, N., Malek, M.: Current solutions for web service composition. IEEE Internet Comput. 8(6), 51–59 (2004)CrossRefGoogle Scholar
  29. 29.
    Miwa, H., Fukuhara, T., Nishimura, T.: Service process visualization in nursing-care service using state transition model. In: Advances in the Human Side of Service Engineering, p. 312 (2012)Google Scholar
  30. 30.
    Nardi, B.A., Engeström, Y.: A web on the wind: the structure of invisible work. Comput. Support. Coop. Work 8(1), 1–8 (1999)CrossRefGoogle Scholar
  31. 31.
    Newman, M.W., Sedivy, J.Z., Neuwirth, C.M., Edwards, W.K., Hong, J.I., Izadi, S., Marcelo, K., Smith, T.F.: Designing for serendipity: supporting end-user configuration of ubiquitous computing environments. In: 4th ACM Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 147–156 (2002)Google Scholar
  32. 32.
    Nieminen, J., Mattelmäki, T.: Navigating in the World of Services-Visualizing a system of systems. Nordes, 4 (2011)Google Scholar
  33. 33.
    Orlikowski, W.J.: Knowing in practice: enacting a collective capability in distributed organizing. Organ. Sci. 13(3), 249–273 (2002)CrossRefGoogle Scholar
  34. 34.
    Paradi, J., Ghazarian-Rock, A.: A framework to evaluate video banking kiosks. Omega 26(4), 523–539 (1998)CrossRefGoogle Scholar
  35. 35.
    Patrício, L., Fisk, R.P., Constantine, L.: Multilevel service design: from customer value constellation to service experience blueprinting. J. Serv. Res. 14(2), 180–200 (2011)CrossRefGoogle Scholar
  36. 36.
    Reinders, M.J., Dabholkar, P.A., Frambach, R.T.: Consequences of forcing consumers to use technology-based self-service. J. Serv. Res. 11(2), 107–123 (2008)CrossRefGoogle Scholar
  37. 37.
    Scott, M., DeLone, W.H., Golden, W.: IT quality and egovernment net benefits: a citizen perspective. In: ECIS 2011 Proceedings (2011)Google Scholar
  38. 38.
    Simonsen, J., Svabo, C., Strandvad, S.M., Hansen, O.E., Samson, K., Hertzum, M.: Situated Design Methods. MIT Press, Cambridge (2014)Google Scholar
  39. 39.
    Sousa, R., Voss, C.A.: Service quality in multichannel services employing virtual channels. J. Serv. Res. 8(4), 356–371 (2006)CrossRefGoogle Scholar
  40. 40.
    Star, S.L.: The structure of ill structured solutions: boundary objects and heterogeneous distributed problem solving. Distrib. Artif. Int. 2, 37–54 (1989)CrossRefGoogle Scholar
  41. 41.
    Suchman, L.: Making work visible. Commun. ACM 38(9), 56–64 (1995)CrossRefGoogle Scholar
  42. 42.
    Suchman, L.: Practice-based design of information systems: notes from the hyperdeveloped world. Inf. Soc. 18(2), 139–144 (2002)CrossRefGoogle Scholar
  43. 43.
    Suchman, L.: Human-Machine Reconfigurations: Plans and Situated Actions. Cambridge University Press, Cambridge (2007)Google Scholar
  44. 44.
    Surprenant, C.F., Solomon, M.R.: Predictability and personalization in the service encounter. J. Mark. 51, 86–96 (1987)CrossRefGoogle Scholar
  45. 45.
    Syrjänen, A., Kinnula, M., Kuutti, K., Sihvola, V.: A facilitated VMC-based remote service kiosk interface for information systems. In: Proceedings of IADIS Interfaces and Human Computer Interaction Conference, pp. 157–164 (2013)Google Scholar
  46. 46.
    Tax, S.S., McCutcheon, D., Wilkinson, I.F.: The service delivery network (SDN) a customer-centric perspective of the customer journey. J. Serv. Res. 16(4), 454–470 (2013)CrossRefGoogle Scholar
  47. 47.
    Vargo, S.L., Lusch, R.F.: The four service marketing myths remnants of a goods-based, manufacturing model. J. Serv. Res. 6(4), 324–335 (2004)CrossRefGoogle Scholar
  48. 48.
    Voss, C.A., Hsuan, J.: Service architecture and modularity. Decis. Sci. 40(3), 541–569 (2009)CrossRefGoogle Scholar
  49. 49.
    Wreiner, T., Mårtensson, I., Arnell, O., Gonzalez, N., Holmlid, S., Segelström, F.: Exploring service blueprints for multiple actors: a case study of car parking services. In: 1st Nordic Conference on Service Design and Service Innovation. Oslo, Norway (2009)Google Scholar
  50. 50.
    Zomerdijk, L.G., Voss, C.A.: Service design for experience-centric services. J. Serv. Res. 13(1), 67–82 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Olli Korhonen
    • 1
    Email author
  • Anna-Liisa Syrjänen
    • 1
  • Marianne Kinnula
    • 1
  • Minna Isomursu
    • 2
  • Kari Kuutti
    • 1
  1. 1.University of OuluOuluFinland
  2. 2.IT University of CopenhagenCopenhagenDenmark

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