Video Banking Adoption and Challenges: A Focus on the Austrian Market

Martin Stabauer, Bernd Zeller

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

This study addresses the underexplored area of video banking in the Austrian market, aiming to understand its current status, potential, and challenges. By developing a theoretical model based on UTAUT 2 and TAM 3, we conducted a quantitative survey with 1,119 participants. The findings reveal that video banking adoption in Austria is low, with only 7% having used the service, despite 40% indicating a potential willingness to use it if actively offered by their banks. Satisfaction among current users is high at around 80%, suggesting positive experiences for those who engage with the service. Concerns about data protection or technology play only a minor role, these disadvantages mentioned in the literature thus seem to be less pronounced than others. The frequently cited trust in well-known Austrian banks appears to mitigate many of these concerns. The explanation for the low usage seems to lie much more in the lack of active promotion than in the lack of acceptance. Two-thirds of respondents were unsure if their bank offered video banking services, even though such services were widely available among the institutions examined. Also, age does not have the moderating effect as it does in other studies. Our research contributes to the existing literature by highlighting the unique characteristics of the Austrian banking sector and providing empirical data on customer attitudes towards video banking.
Original languageEnglish
Title of host publicationHCI International 2024 – Late Breaking Papers - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings
EditorsAdela Coman, Simona Vasilache, Fiona Fui-Hoon Nah, Keng Leng Siau, June Wei, George Margetis
Place of PublicationCham
PublisherSpringer
Pages349-360
Number of pages12
Volume15375
ISBN (Print)9783031768057
DOIs
Publication statusPublished - Dec 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15375 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102 Computer Sciences
  • 502007 E-commerce
  • 505002 Data protection
  • 505015 Legal informatics
  • 502050 Business informatics
  • 509001 Action research

JKU Focus areas

  • Digital Transformation

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