Robo-advisor acceptance: Do gender and generation matter?

Gianna Figà-Talamanca; Paola Musile Tanzi; Eleonora D’Urzo

PLOS ONE · 2022-06-29
Peer-reviewed research article · Version of record · CC BY 4.0 · 5,352 words

Original source: Volume 17 · Issue 6 · e0269454

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Title: Robo-advisor acceptance: Do gender and generation matter?
Human authorship: Gianna Figà-Talamanca; Paola Musile Tanzi; Eleonora D’Urzo
Source: Complete manuscript edition 2026-10-22
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Original authors / creators: Gianna Figà-Talamanca; Paola Musile Tanzi; Eleonora D’Urzo
Original publication: PLOS ONE · Public Library of Science · 2022-06-29
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doi:10.1371/journal.pone.0269454
License & retained notices: CC BY 4.0
2022 Figà-Talamanca et al This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2022 Figà-Talamanca et al This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Edition changes: Licensed narrative text edition. Original headings, paragraphs and references are preserved with normalized whitespace and layout. Figures, tables, display equations and separately licensed third-party material are not reproduced; use the linked original full text for those elements and definitive pagination. This is an attributed republication, not newly conducted research.
Evidence limits: The sample was small, university-based and uneven across groups. Age, cohort and life-stage effects cannot be separated, self-reported intention is not actual safe use, and the design does not establish causal effects.
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