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All Journal Jurnal Minds:Manajemen Ide dan Inspirasi
Deddy P. Koesrindartoto
Institut Teknologi Bandung
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Financial Robo-Advisor: Learning from Academic Literature Eneng Nur Hasanah; Sudarso Kaderi Wiryono; Deddy P. Koesrindartoto
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 10 No 1 (2023): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v10i1.33428

Abstract

Financial Robo-Advisor is the technology that integrates machine learning and self-identification to determine investment decisions. This study explores the financial robo-advisor based on bibliometric analysis and a systematic literature review. The method used three steps: determining the keyword, bibliometric analysis of literature metadata using VOSviewer, then collecting and analysing the articles. The bibliometric analysis results show five cluster keywords defined with different colors. In the network visualization, the robo-advisor connects to other keywords: investment, fintech, and artificial intelligence. Furthermore, the systematic literature review shows that the articles are divided into seven research objectives: (1) Law, Regulation, and Policy; (2) Investment Literate and Education; (3) Offered Services; (4) Present Risk-Portfolio Matching Technology; (5) Optimal Portfolio Methods; (6) Human-Robo Interaction; (7) Theoretical Design and Gap. Furthermore, this study can be used by academicians and practitioners to find out about robo-advisors based on an academic perspective.
Co-Authors Eneng Nur Hasanah Sudarso Kaderi Wiryono