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Robo-advisor acceptance: Do gender and generation matter?
16 references·8 citing·49 second hop
Robo-advisor acceptance: Do gender and generation matter? (2022)Robo-advisor acceptance: Do gender and ge…The fintech gender gap (2023)The fintech gender gapPartial Least Squares Structural Equation Modeling (2021)Partial Least Squares Structu…“ We aren't your reincarnation! ” workplace motivation across X, Y and Z generations (2020)“ We aren't your reincarnatio…The Promises and Pitfalls of Robo-Advising (2019)The Promises and Pitfalls of …When to use and how to report the results of PLS-SEM (2018)When to use and how to report…The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)The Global Findex Database 20…On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)On the Fintech Revolution: In…THE CHALLENGE OF TEACHING GENERATION Z (2017)THE CHALLENGE OF TEACHING GEN…Testing measurement invariance of composites using partial least squares (2016)Testing measurement invarianc…Evidence on rationality and behavioural biases in investment decision making (2016)Evidence on rationality and b…Generation Z: Technology and Social Interest (2015)Generation Z: Technology and …Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain (2015)Gender and Acceptance of E-Le…Empirical investigation of e-learning acceptance and assimilation: A structural equation model (2014)Empirical investigation of e-…Boys will be Boys: Gender, Overconfidence, and Common Stock Investment (2001)Boys will be Boys: Gender, Ov…Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment (1998)Boys Will Be Boys: Gender, Ov…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Robo-advisor enablers and inhibitors: A dual-factor framework and a benefit-risk model integration for understanding customer acceptance (2025)Robo-advisor enablers and inh…Recent Developments in Individual Difference Research to Inform the Adoption of AI Technology (2025)Recent Developments in Indivi…Building trust in robo-advisory: technology, firm-specific and system trust (2025)Building trust in robo-adviso…Robo-advisors: A systematic literature review (2024)Robo-advisors: A systematic l…Exploring artificial intelligence robo-advisor in banking industry: a platform model (2024)Exploring artificial intellig…“In Design and Humans we Trust“? – Drivers of Trust and Advice Discounting for Robo Advice (2024)“In Design and Humans we Trus…Perceived Risk and Intelligent Investment Advisor Technology Adoption: A UTAUT Perspective (2023)Perceived Risk and Intelligen…Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model (2023)Managing Consumers’ Adoption …Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Generation M2: Media in the Lives of 8- to 18-Year-Olds (2010)Generational Differences in Work Values: A Review of Theory and Evidence (2010)Digital Natives, Digital Immigrants (2012)‘You really are a great big sister’ – parasocial relationships, credibility, and the moderating role of audience comments in influencer marketing (2020)Here comes Generation Z: Millennials as managers (2021)Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people (2021)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)An updated and expanded assessment of PLS-SEM in information systems research (2017)Partial Least Squares Structural Equation Modeling (2017)Partial least squares structural equation modeling in HRM research (2018)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Investor Psychology and Security Market Under‐ and Overreactions (1998)What Makes Investors Trade? (2001)Investor psychology in capital markets: evidence and policy implications (2002)Trading Performance, Disposition Effect, Overconfidence, Representativeness Bias, and Experience of Emerging Market Investors (2007)Consumer credit-risk models via machine-learning algorithms (2010)Digital Finance and FinTech: current research and future research directions (2017)A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change (2020)Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies (2021)Environmental decentralization, digital finance and green technology innovation (2022)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)PLS-SEM: Indeed a Silver Bullet (2011)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)PORTFOLIO SELECTION* (1952)Endogenous Technological Change (1989)Endogenous Technological Change (1990)Fintech: what’s old, what’s new? (2020)FinTech adoption and financial inclusion: Evidence from household consumption in China (2022)Artificial intelligence, firm growth, and product innovation (2023)Judgment under Uncertainty: Heuristics and Biases (1975)All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors (2007)Gender Differences in Preferences (2009)Women in the boardroom and their impact on governance and performance☆ (2009)A power primer. (1992)User Acceptance of Information Technology: Toward A Unified View1 (2003)“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies (2022)The role of interorganizational collaboration and digital technologies in the implementation of circular economy practices—Empirical evidence from manufacturing firms (2023)Does financial literacy improve financial inclusion? Cross country evidence (2018)Does financial inclusion reduce poverty and income inequality in developing countries? A panel data analysis (2020)From Poverty to Disaster and Back: a Review of the Literature (2020)
this work references cited by second hop

References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2001Boys will be Boys: Gender, Overconfidence, and Common Stock Investment5,215 cited
  • 2016Testing measurement invariance of composites using partial least squares3,204 cited
  • 2018The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution2,660 cited
  • 2018On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services2,128 cited
  • 1998Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment1,190 cited
  • 2021Partial Least Squares Structural Equation Modeling1,052 cited
  • 2015Generation Z: Technology and Social Interest970 cited
  • 2019The Promises and Pitfalls of Robo-Advising506 cited
  • 2014Empirical investigation of e-learning acceptance and assimilation: A structural equation model471 cited
  • 2017THE CHALLENGE OF TEACHING GENERATION Z382 cited
  • 2020“ We aren't your reincarnation! ” workplace motivation across X, Y and Z generations251 cited
  • 2016Evidence on rationality and behavioural biases in investment decision making191 cited

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2023
The fintech gender gap
162 cited
  • 2015Gender and Acceptance of E-Learning: A Multi-Group Analysis Based on a Structural Equation Model among College Students in Chile and Spain160 cited
  • Cited by

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    • 2023Managing Consumers’ Adoption of Artificial Intelligence-Based Financial Robo-Advisory Services: A Moderated Mediation Model18 cited
    • 2025Recent Developments in Individual Difference Research to Inform the Adoption of AI Technology16 cited
    • 2025Robo-advisor enablers and inhibitors: A dual-factor framework and a benefit-risk model integration for understanding customer acceptance11 cited
    • 2023Perceived Risk and Intelligent Investment Advisor Technology Adoption: A UTAUT Perspective6 cited
    • 2024“In Design and Humans we Trust“? – Drivers of Trust and Advice Discounting for Robo Advice1 cited