In the past two decades, numerous studies have focused on robo-advisers in financial technology. Robo-advisers involve automated financial advice for investors, tailoring portfolios based on risk tolerance and objectives, and automatic portfolio-monitoring and rebalancing. While robo-advisers have seen progress in adoption, there are still untapped potentials. This abstract presents a systematic literature review summarising the current state-of-the-art in robo-advisery adoption. By following a detailed, systematic literature-review methodology, the review provides valuable insights for practitioners, potential investors, and researchers seeking to identify areas for further investigation in robo-advisery adoption
This volume examines how technology is transforming financial applications, and how FinTech promises...
This paper investigates the threat of robo-advisors to the wealth management industry as trends show...
This study aims at identifying factors influencing robo-advisory demand and usage. We show that it i...
In the past two decades, numerous studies have focused on robo-advisers in financial technology. Rob...
Financial Robo-Advisor is the technology that integrates machine learning and self-identification to...
Technological advancements bring continuous changes into the investment industry. The paper aims to ...
The financial services industry is facing existence-threatening changes due to the implementation of...
One of the most significant recent technological developments concerns the application of robotics a...
One of the most significant recent technological developments concerns the application of robotics a...
Introduction/Main Objectives: This study investigates the determinants of willingness to use financi...
Robo-advisors (RAs) guide investors through an automated financial advice process, recommend persona...
In light of the emergence of artificial intelligence in financial technology and the fourth industri...
Robo-advisors are novel tools in financial markets that provide investors with low-cost financial ad...
Purpose: The article's objective is to present how users evaluate automatic financial advisory servi...
Automatic financial consulting (robo-advice) is a financial innovation in the area of personal finan...
This volume examines how technology is transforming financial applications, and how FinTech promises...
This paper investigates the threat of robo-advisors to the wealth management industry as trends show...
This study aims at identifying factors influencing robo-advisory demand and usage. We show that it i...
In the past two decades, numerous studies have focused on robo-advisers in financial technology. Rob...
Financial Robo-Advisor is the technology that integrates machine learning and self-identification to...
Technological advancements bring continuous changes into the investment industry. The paper aims to ...
The financial services industry is facing existence-threatening changes due to the implementation of...
One of the most significant recent technological developments concerns the application of robotics a...
One of the most significant recent technological developments concerns the application of robotics a...
Introduction/Main Objectives: This study investigates the determinants of willingness to use financi...
Robo-advisors (RAs) guide investors through an automated financial advice process, recommend persona...
In light of the emergence of artificial intelligence in financial technology and the fourth industri...
Robo-advisors are novel tools in financial markets that provide investors with low-cost financial ad...
Purpose: The article's objective is to present how users evaluate automatic financial advisory servi...
Automatic financial consulting (robo-advice) is a financial innovation in the area of personal finan...
This volume examines how technology is transforming financial applications, and how FinTech promises...
This paper investigates the threat of robo-advisors to the wealth management industry as trends show...
This study aims at identifying factors influencing robo-advisory demand and usage. We show that it i...