The DOI matches its Crossref record.
Robo-Advisory: Digitalization and Automation of Financial Advisory
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
AI-based chatbots in customer service and their effects on user compliance
Adam, M., Wessel, M., & Benlian, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00414-7 · Cited by 1,195
“…an increasingly important role for future applications of CAs, as many service requests are based on routine tasks (e.g., checking account balances and blocking credit cards), which CAs promise to conveniently and cost-effectively solve in form of 24/7 service channels (e.g., Jung et al. 2018a, b).”
BackgroundArtificial Intelligence in FinTech: understanding robo-advisors adoption among customers
Belanche, D., Casaló, L. V., & Flavián, C. (2019) · Industrial Management & Data Systems · doi:10.1108/imds-08-2018-0368 · Cited by 851
AI-Based Digital Assistants: Opportunities, Threats, and Research Perspectives
Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., Hinz, O., Morana, S., & Söllner, M. (2019) · Business & Information Systems Engineering · doi:10.1007/s12599-019-00600-8 · Cited by 432
Self-citationAppropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
Schemmer, M., Kuehl, N., Benz, C., Bartos, A., & Satzger, G. (2023) · Proceedings of the 28th International Conference on Intelligent User Interfaces · doi:10.1145/3581641.3584066 · Cited by 208
Reducing algorithm aversion through experience
Filiz, I., Judek, J. R., Lorenz, M., & Spiwoks, M. (2021) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2021.100524 · Cited by 88
Cheng, X., Qiao, L., Yang, B., & Li, Z. (2024) · Internet Research · doi:10.1108/intr-06-2022-0402 · Cited by 76
How affordances of chatbots cross the chasm between social and traditional enterprise systems
Stoeckli, E., Dremel, C., Uebernickel, F., & Brenner, W. (2020) · Electronic Markets · doi:10.1007/s12525-019-00359-6 · Cited by 55
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
Schemmer, M., Hemmer, P., Kühl, N., Benz, C., & Satzger, G. (2022) · arXiv · doi:10.48550/arxiv.2204.06916 · Cited by 33
“While in the past, advice was typically obtained from human experts, nowadays, advisors based on artificial intelligence (AI) are becoming more and more present in research and practice [11].”
Background
Metadata
- Authors
- Jung, D., Dorner, V., Glaser, F., & Morana, S.
- Venue
- Business & Information Systems Engineering
- Published
- 2018-01-22
- Volume
- 60
- Issue
- 1
- Pages
- 81-86
- ISSN
- 1867-0202 (ISSN-L)
- 2363-7005
- OpenAlex
- W2786329903
- Cited by
- 254
- References
- 0
- FWCI
- 27.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.