Technology Adoption in Investment and Finance (Systematic Literature Review)

The goal of this study is to examine significant trends, analyze the relationships between keywords, and uncover factors influencing technology adoption in investment and finance. Using a Systematic Literature Review (SLR) approach, this article gathers and analyzes data from relevant scientific publications on Google Scholar with keywords such as robo-advisor, TAM, TPB, individual investors, and financial technology. The results are visualized through three types of maps: the keyword relationship map, the temporal evolution map, and the heatmap using VOSviewer. The main findings indicate that trust and technology adoption are key factors in this research, with keywords like "investment," "investor," "trust," and "adoption" emerging as central topics. The temporal evolution map shows an increase in research related to "technology acceptance model (TAM)" and "robo advisor" in recent years, indicating a growing interest in understanding the adoption of new technology. The heatmap identifies areas of high research concentration on "adoption," "technology," and "investment" and highlights areas requiring further research.