Pregled bibliografske jedinice broj: 1208110
Forecasting the future of robo advisory: A three- stage Delphi study on economic, technological, and societal implications
Forecasting the future of robo advisory: A three- stage Delphi study on economic, technological, and societal implications // Technological Forecasting and Social Change, 182 (2022), 121824, 15 doi:10.1016/j.techfore.2022.121824 (međunarodna recenzija, članak, znanstveni)
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Naslov
Forecasting the future of robo advisory: A three-
stage Delphi study on economic, technological, and
societal implications
Autori
Tiberius, Victor ; Gojowy, Robin ; Dabić, Marina
Izvornik
Technological Forecasting and Social Change (0040-1625) 182
(2022);
121824, 15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Robo advisor ; Financial technology ; FinTech ; Investment advice ; Delphi study ; scenario
Sažetak
Robo advisors represent a digital financial advice solution challenging traditional wealth and asset management, investment advice, retirement planning, and tax-loss harvesting. Based on algorithms, big data analysis, machine learning, and other technologies, these services minimize the necessity for human intervention. Based on an international three-stage Delphi study, we provide a plausible forecast of the development of the robo advisor industry, with regards to market development, competition, drivers of growth, customer segments, challenges, services, technologies, and societal change. The results suggest that the financial advice market will experience a further increase in the number of robo advisor services available. Existing and traditional financial advice players will be forced to adjust to the changing environment of the market. Due to low fees and ease of use, robo advisors will be made available to a broad cross section of society, and will cause significant market losses for traditional investment advice companies. Ten years from now, the predominant investment class will remain Exchange Traded Funds (ETFs). Even though degrees of human intervention are expected to vary considering the complexity of advice, automation will increase in significance when it comes to the development of robo advisors.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Marina Dabic’s research is supported by the
Horizon 2020 Programme of the European Union
HORIZON RISE Marie Skłodowska-Curie Actions,
within the OpenInnoTrain project under grant
agreement no. 823971. The content of this
publication does not reflect the official opinion
of the European Union. Responsibility for the
information and views expressed in the publication
lies entirely with the author(s).
POVEZANOST RADA
Projekti:
EK-H2020-823971 - Open Innovation – Research Translation and Applied Knowledge Exchange in Practice through University-Industry-Cooperation (OpenInnoTrain) (Dabić, Marina, EK - H2020-MSCA-RISE-2018) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
Profili:
Marina Dabić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus