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DOI: 10.5445/IR/1000090689
Veröffentlicht am 07.02.2019

Robo-Advisory and Decision Inertia - Experimental Studies of Human Behaviour in Economic Decision-Making

Jung, Dominik

Abstract (englisch):
Investing in the stock market is a complicated and risky undertaking for private households. In particular, private investors face numerous decisions: for instance, whether to invest in stocks
or bonds, buy passively or actively managed investment products, or try something new like Bitcoin. They must decide where they can get independent financial advice, and whether this advice is trustworthy.

As a consequence, information systems researchers design and build financial decision support systems. Robo-advisors are such decision support systems aiming to provide independent advice, and support private households in investment decisions and wealth management. This thesis evaluates robo-advisors, their design and use and thus their ability to support financial decision-making. Addressing this research need, my thesis is organized in three parts (part I-III ) consisting of four quantitative experimental studies, two qualitative friendly-user-studies, and one qualitative interview study.

In Part I, Chapter 3 examines how robo-advisors can be designed for inexperienced investors. In particular, I derive design recommendations for t ... mehr

Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Hochschulschrift
Jahr 2019
Sprache Englisch
Identifikator URN: urn:nbn:de:swb:90-906895
KITopen-ID: 1000090689
Verlag Karlsruhe
Umfang 190 S.
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Informationswirtschaft und Marketing (IISM)
Prüfungsdatum 07.12.2018
Referent/Betreuer Prof. C. Weinhardt
Schlagworte Robo-Advisors, Robo-Advisory, Decision-Inertia, Choice Architecture, Behavioral Economics
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