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Technology Acceptance, Path Dependence, and the Demand for Robo-Advisory Services

  • Book
  • May 2024

Overview

Authors:
  1. Maximilian Horn

    1. Bonn, Germany

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Keywords

  • technology acceptance
  • robo-advisor
  • path dependence
  • information systems
  • product features
  • cross-country comparison

About this book

This book explores the effects of the previously ignored factors of path dependence and product features on technology acceptance with a focus on robo-advice. A newly developed model introduces path dependence to technology acceptance research allowing to explain previously unaccountable effects. An empirical test of the model using data from Germany and the USA elicits that path dependence influences the attitudes towards and demand for robo-advice. A process consisting of a market survey, a choice-based conjoint analysis, and a test in a technology acceptance model allows the structured investigation of the effects of product features on the demand for robo-advice. The results show that selected product features have effects on the demand for robo-advice and that it is essential to establish these effects empirically.

Authors and Affiliations

  • Bonn, Germany

    Maximilian Horn

About the author

Dr. Maximilian Horn studied economics at the Universities of Bonn and Siena as well as international management at the University of Cologne and the Indian Institute of Management Calcutta. In addition to his work as a management consultant, he completed his doctorate under Prof. Dr. Martin Missong at the University of Bremen.

Bibliographic Information

  • Book Title: Technology Acceptance, Path Dependence, and the Demand for Robo-Advisory Services

  • Authors: Maximilian Horn

  • Series Title: Forschung zur Digitalisierung der Wirtschaft | Advanced Studies in Business Digitization

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Economics (German Language)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2024

  • Softcover ISBN: 978-3-658-44678-9Due: 12 June 2024

  • eBook ISBN: 978-3-658-44679-6Due: 12 June 2024

  • Series ISSN: 2662-4788

  • Series E-ISSN: 2662-4796

  • Edition Number: 1

  • Number of Pages: XIV, 238

  • Number of Illustrations: 2 b/w illustrations, 96 illustrations in colour

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