Skip to main content

Kundengerechte Gestaltung digitaler Services durch Analyse und Berücksichtigung der Technology Readiness bestehender Kunden

  • Chapter
  • First Online:
Gestaltung des Wandels im Dienstleistungsmanagement

Zusammenfassung

Um kostspielige Flops durch die unbedarfte Einführung von neuen digitalen Services zu vermeiden, sollten Unternehmen neben anderen Faktoren die Technology Readiness ihrer Kunden beachten und als Ausgangspunkt für die Gestaltung digitaler Services nutzen. Der Beitrag zeigt auf, wie Firmen die Technology Readiness ihrer Kunden durch unterschiedliche Verfahren ermitteln können. Darauf aufbauend werden Ansätze zur Berücksichtigung von Technology Readiness bei der Einführung und Etablierung digitaler Services diskutiert.

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

Access this chapter

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 PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literaturverzeichnis

  • Baur, R. (2018). Digitising A Whole Generation: Swisscom Academy. Swisscom. Abgerufen am 13. Oktober 2022, von https://www.swisscom.ch/en/about/news/news/swisscom-academy-digitises-a-whole-generation.html

  • Becker, B. (2020). Warum der elektronische Personalausweis gefloppt ist. Wirtschafts-Woche. Abgerufen am 13. Oktober 2022, von https://www.wiwo.de/politik/deutschland/digitalisierung-warum-der-elektronische-personalausweis-gefloppt-ist/26621934.html

  • Bell, S. J., Auh, S., & Eisingerich, A. B. (2017). Unraveling the Customer Education Paradox. Journal of Service Research, 20(3), 306–321. https://doi.org/10.1177/1094670517691847

  • Blut, M., & Wang, C. (2020). Technology Readiness: A Meta-Analysis of Conceptualizations of the Construct and Its Impact on Technology Usage. Journal of the Academy of Marketing Science, 48(4), 649–669. https://doi.org/10.1007/s11747-019-00680-8

  • Bruhn, M. (2020). „Wo viel Licht ist, ist starker Schatten“: Die zwei Seiten der Automatisierung und Personalisierung von Dienstleistungen. In M. Bruhn & K. Hadwich (Hrsg.), Automatisierung und Personalisierung von Dienstleistungen: Konzepte Kundeninteraktionen Geschäftsmodelle (S. 141–170). Springer Gabler.

    Google Scholar 

  • Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-Dependent Algorithm Aversion. Journal of Marketing Research, 56(5), 809–825. https://doi.org/10.1177/0022243719851788

  • Challagalla, G., Venkatesh, R., & Kohli, A. K. (2009). Proactive Postsales Service: When and Why Does It Pay Off? Journal of Marketing, 73(2), 70–87. https://doi.org/10.1509/jmkg.73.2.70

  • Chung, N., Tyan, I., & Han, H. (2017). Enhancing the Smart Tourism Experience through Geotag. Information Systems Frontiers, 19(4), 731–742. https://doi.org/10.1007/s10796-016-9710-6

  • Dewitt, T., & Brady, M. K. (2003). Rethinking Service Recovery Strategies. Journal of Service Research, 6(2), 193–207. https://doi.org/10.1177/1094670503257048

  • Ding, X. D., Huang, Y., & Verma, R. (2011). Customer Experience in Online Financial Services. Journal of Service Management, 22(3), 344–366. https://doi.org/10.1108/09564231111136863

  • Dong, B., Sivakumar, K., Evans, K. R., & Zou, S. (2014). Effect of Customer Participation on Service Outcomes: The Moderating Role of Participation Readiness. Journal of Service Research, 18(2), 160–176. https://doi.org/10.1177/1094670514551727

  • Hogreve, J., & Gremler, D. D. (2008). Twenty Years of Service Guarantee Research: A Synthesis. Journal of Service Research, 11(4), 322–343. https://doi.org/10.1177/1094670508329225

  • Huang, R., & Ha, S. (2020). The Effects of Warmth-Oriented and Competence-Oriented Service Recovery Messages on Observers on Online Platforms. Journal of Business Research, 121, 616–627. https://doi.org/10.1016/j.jbusres.2020.04.034

  • Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding Usage Intention in Innovative Mobile App Service: Comparison Between Millennial and Mature Consumers. Computers in Human Behavior, 73(C), 353–361. https://doi.org/10.1016/j.chb.2017.03.051

  • Jong, A. D., & De Ruyter, K. (2004). Adaptive versus Proactive Behavior in Service Recovery: The Role of Self-Managing Teams. Decision Sciences, 35(3), 457–491. https://doi.org/10.1111/j.0011-7315.2004.02513.x

  • Kuhn, M., & Johnson, K. (2013). Applied Predictive Modeling. Springer Science+Business Media.

    Google Scholar 

  • Lee, W., Castellanos, C., & Choi, H. S. C. (2012). The Effect of Technology Readiness on Customers' Attitudes toward Self-Service Technology and Its Adoption; The Empirical Study of U.S. Airline Self-Service Check-In Kiosks. Journal of Travel & Tourism Marketing, 29(8), 731–743. https://doi.org/10.1080/10548408.2012.730934

  • Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing Among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies. Journal of Marketing, 69(2), 61–83. https://doi.org/10.1509/jmkg.69.2.61.60759

  • Mowen, J. C. (2000). The 3M Model of Motivation and Personality: Theory and Empirical Applications to Consumer Behavior. Springer Science+Business Media.

    Google Scholar 

  • Ostrom, A. L., Fotheringham, D., & Bitner, M. J. (2019). Customer Acceptance of AI in Service Encounters: Understanding Antecedents and Consequences. In P. P. Maglio, C. A. Kieliszewski, J. C. Spohrer, K. Lyons, & L. Patrício (Hrsg.), Handbook of Service Science, Volume II: Research and Innovations in the Service Economy (S. 77–103). Springer.

    Google Scholar 

  • Paluch, S. (2017). Smart Services: Analyse von strategischen und operativen Auswirkungen. In M. Bruhn & K. Hadwich (Hrsg.), Dienstleistungen 4.0.: Geschäftsmodelle – Wertschöpfung – Transformation (S. 161–182). Springer Gabler.

    Google Scholar 

  • Parasuraman, A. (2000). Technology Readiness Index (TRI). Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001

  • Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730

  • Patrício, L., Fisk, R. P., Falcão e Cunha, J., & Constantine, L. (2011). Multilevel Service Design: From Customer Value Constellation to Service Experience Blueprinting. Journal of Service Research, 14(2), 180–200. https://doi.org/10.1177/1094670511401901

  • Raff, S., von Walter, B., & Wentzel, D. (2021). KI-basierte Beratungsleistungen: Ausge-staltungsformen, Herausforderungen und Implikationen. In M. Bruhn & K. Hadwich (Hrsg.), Künstliche Intelligenz im Dienstleistungsmanagement: Geschäftsmodelle – Serviceinnovationen – Implementierung (S. 341–362). Springer Gabler.

    Google Scholar 

  • Retana, G. F., Forman, C., & Wu, D. J. (2015). Proactive Customer Education, Customer Retention, and Demand for Technology Support: Evidence from a Field Experiment. Manufacturing & Service Operations Management, 18(1), 34–50. https://doi.org/10.1287/msom.2015.0547

  • Shim, H.-S., Han, S.-L., & Ha, J. (2020). The Effects of Consumer Readiness on the Adoption of Self-Service Technology: Moderating Effects of Consumer Traits and Situational Factors. Sustainability, 13(1), 1–17. https://doi.org/10.3390/su13010095

  • Teixeira, J. G., Patrício, L., Huang, K.-H., Fisk, R. P., Nóbrega, L., & Constantine, L. (2017). The MINDS Method: Integrating Management and Interaction Design Perspectives for Service Design. Journal of Service Research, 20(3), 240–258. https://doi.org/10.1177/1094670516680033

  • Tesfaye, M. (2018). UBS Has Called Time on Its Robo-Advisor Platform. Business Insider. Abgerufen am 13. Oktober 2022, von https://www.businessinsider.com/ubs-discontinues-smartwealth-robo-advisor-pilot-program-2018-8?r=US&IR=T

  • Victorino, L., Karniouchina, E., & Verma, R. (2009). Exploring the Use of the Abbreviated Technology Readiness Index for Hotel Customer Segmentation. Cornell Hospitality Quarterly, 50(3), 342–359. http://dx.doi.org/https://doi.org/10.1177/1938965509336809

  • Vize, R., Coughlan, J., Kennedy, A., & Ellis-Chadwick, F. (2013). Technology Readiness in a B2B Online Retail Context: An Examination of Antecedents and Outcomes. Industrial Marketing Management, 42(6), 909–918. https://doi.org/10.1016/j.indmarman.2013.05.020

  • von Walter, B., Kremmel, D., & Jäger, B. (2022). The Impact of Lay Beliefs about AI on Adoption of Algorithmic Advice. Marketing Letters, 33(1), 143–155. https://doi.org/10.1007/s11002-021-09589-1

  • Westjohn, S. A., Arnold, M. J., Magnusson, P., Zdravkovic, S., & Zhou, J. X. (2009). Technology Readiness and Usage: A Global-Identity Perspective. Journal of the Academy of Marketing Science, 37(3), 250–265. https://psycnet.apa.org/doi/https://doi.org/10.1007/s11747-008-0130-0

  • Wingeier, C. (2021). Die Vorsorge-App Frankly verwaltet über 1 Milliarde Vermögen. Inside IT. Abgerufen am 13. Oktober 2022, von https://www.inside-it.ch/post/die-vor-sorge-app-frankly-verwaltet-ueber-1-milliarde-vermoegen-20211123

  • Wirtz, J., & Lovelock, C. (2021). Services Marketing: People, Technology, Strategy (9. Aufl.). World Scientific.

    Google Scholar 

  • Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave New World: Service Robots in the Frontline. Journal of Service Management, 29(5), 907–931. https://doi.org/10.1108/JOSM-04-2018-0119

  • Wünderlich, N. V., von Wangenheim, F., & Bitner, M. J. (2012). High Tech and High Touch: A Framework for Understanding User Attitudes and Behaviors Related to Smart Interactive Services. Journal of Service Research, 16(1), 3–20. https://doi.org/10.1177/1094670512448413

  • Zhao, X., Mattila, A. S., & Tao, L. S. E. (2008). The Role of Post‐Training Self‐Efficacy in Customers' Use of Self Service Technologies. International Journal of Service Industry Management, 19(4), 492–505. https://doi.org/10.1108/09564230810891923

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Benjamin von Walter .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

von Walter, B., Jäger, B., Kremmel, D. (2023). Kundengerechte Gestaltung digitaler Services durch Analyse und Berücksichtigung der Technology Readiness bestehender Kunden. In: Bruhn, M., Hadwich, K. (eds) Gestaltung des Wandels im Dienstleistungsmanagement. Forum Dienstleistungsmanagement. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-41815-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-41815-1_2

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-41814-4

  • Online ISBN: 978-3-658-41815-1

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics