Digital Automation of Customer Contact Processes – an Empirical Research on Customer Acceptance of different Chatbot Use-cases

  • Christiane Völkle
  • Patrick Planing


Today’s economy is characterized by accelerated technological change which increases the automation of processes in companies. At the same time customers increasingly expect easy and quick customer service at all times. Chatbots are one technology that can help to fulfill these needs by using process automation and thus can create a competitive advantage. While chatbots have a huge potential, an important question, which needs to be addressed in this context is in which situations chatbots can be used most effectively. This study takes up this question and indicates in which contact processes chatbots are useful from a customer’s point of view. An experiment with 30 students was conducted to test and evaluate chatbots from different application areas. The analysis of the results shows that the participants perceive chatbots as easy to use and fast but that their trust in the technology’s data security is one main reason for resistance. In sum, chatbots are suitable for providing quick answers to simple questions. For processing complex, intimate or costly requests, human employees are favored.


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  1. Bavafa, H., Hitt, L. M. & Terwiesch, C. (2017). The Impact of E-Visits on Visit Frequencies and Patient Health: Evidence from Primary Care.Google Scholar
  2. Buell, R. W. (2018). The Parts Of Customer Service That Should Never Be Automated. Harvard Business Review Digital Articles, 2–5.Google Scholar
  3. CodeFlügel GmbH (Ed.). (2018). Chatbots im Support. Accessed 25th April 2018.
  4. Dämon, K. (2017). Megatrend Chatbot: Was Chatbots der Wirtschaft bringen. Accessed 23rd April 2018.
  5. Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35 (8), 982–1003.Google Scholar
  6. Desaulniers, S. (2016). Chatbots rise, and the future may be ‘re-written’. Accessed 10th April 2018.
  7. Döring, N. & Bortz, J. (2016). Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften (5th ed.). Berlin: Springer.Google Scholar
  8. Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: Sage Publications Ltd.Google Scholar
  9. Fittkau & Maaß Consulting (Ed.). (2017). In welchem Kontext sehen Sie geeignete Einsatzbereiche von Chatbots im Kundenkontakt?, Statista. Accessed 26th April 2018
  10. Gentsch, P. (Ed.). (2018). Künstliche Intelligenz für Sales, Marketing und Service. Wiesbaden: Springer.Google Scholar
  11. Griol, D., Carbó, J. & Molina, J. M. (2013). An automatic dialog simulation technique to develop and evaluate interactive conversational agents. Applied Artificial Intelligence, 27 (9), 759–780.Google Scholar
  12. Gyant (Ed.) (2018). Hi there! I am Gyant, your health Chatbot. Accessed 26th April 2018.
  13. Holub, L. (2017). Whitepaper Chatbots. IQ mobile.Google Scholar
  14. Homburg, C. (2017). Marketingmanagement. Strategie – InstrumenteUmsetzungUnternehmensführung (6th ed.). Wiesbaden: Springer Gabler.Google Scholar
  15. Jockisch, M. (2010). Das Technologieakzeptanzmodell. In G. Bandow & H. H. Holzmüller (Eds.), „Das ist gar kein Modell!“ (p. 233–254). Wiesbaden: Springer Gabler.Google Scholar
  16. KAYAK News (2016). NEU: KAYAK-Reisesuche über Facebook Messenger. Accessed 25th April 2018.
  17. Kelle, U. (2014). Mixed Methods. In N. Baur & J. Blasius (Eds.), Handbuch Methoden der empirischen Sozialforschung (p. 153–166). Wiesbaden: Springer.Google Scholar
  18. Kumar, A. & Telang, R. (2012). Does the Web Reduce Customer Service Cost? Empirical Evidence from a Call Center. Information Systems Research, 23 (3), 721–737.Google Scholar
  19. Lester, J., Branting, K. & Mott, B. (2004). Conversational Agents. In M. P. Singh (Hrsg.), The Practical Handbook of Internet Computing (p. 10-1–10-16). Boca Raton: Chapman & Hall/CRC.Google Scholar
  20. Maddox, M. (2018). Your customers are changing, your customer communications should too. Accessed 19th April 2018.
  21. Rios, F. (2016). Market Research and The Bot Revolution. Part 2. Accessed 12th March 2018.
  22. Trentmann, N. (2014). Der chinesische R2D2 kocht und serviert das Essen. Accessed 31th March 2018.
  23. Wilde, T. (2018). Customer Engagement mit Chatbots und Collaboration Bots: Vorgehen, Chancen und Risiken zum Einsatz von Bots in Service und Marketing. In P. Gentsch (Ed.), Künstliche Intelligenz für Sales, Marketing und Service (p. 138–149). Wiesbaden: Springer.Google Scholar
  24. YouGov (Ed.). (2017a). Anteil der Befragten, die sich vorstellen können, in folgenden Situationen mit einem Chatbot zu kommunizieren, Statista. Accessed 26th April 2018.
  25. YouGov (Ed.). (2017b). Der Chatbot als Ratgeber. Aus welchen Gründen würden Sie mit einem Chatbot kommunizieren wollen?, Statista. Accessed 26th April 2018.
  26. YouGov (Ed.). (2017c). Was spricht aus Ihrer Sicht grundsätzlich für die Nutzung von so genannten „Chatbots”?, Statista. Accessed 25th April 2018.
  27. YouGov (Ed.). (2017d). Was spricht aus Ihrer Sicht grundsätzlich gegen die Nutzung von so genannten “Chatbots”?, Statista. Retrieved from Accessed 25th April 2018.

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Christiane Völkle
    • 1
  • Patrick Planing
    • 1
  1. 1.Stuttgart University of Applied ScienceStuttgartDeutschland

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