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

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.

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.

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 tolsG