Page 122 - Azerbaijan State University of Economics

Amit Mishra, Vibhuti Tripathi: From Mobile Trading to Intelligent Investing:
A Bibliometric and Thematic Review of AI-Driven Financial Investments

The research also shows that themes including AI-enabled investment efficiency, fintech
ecosystems, robo-advisory adoption, behavioural biases, financial literacy, and
technological acceptance are the main focus of the present literature. Four main study
themes were found using the thematic cluster analysis, namely: “AI-Driven Investment
and Sustainability”, “Adoption of Fintech Platforms for Investing”, “Behavioural Biases
in AI Investing” and “Retail Investor Decision-Making and Mobile Stock Trading
Outcomes”. Additionally, the literature highlights how AI can help reduce information
asymmetry, enhance investment analysis, facilitate technology-driven and sustainable
investing practices, and promote predictive financial decision-making.

The analysis points up a number of significant research gaps that need for more
scholarly investigation despite the growing amount of research in this field. First, a
significant amount of current research uses frameworks like TAM, UTAUT, and
similar behavioural intention models to focus on the initial adoption intention of
mobile trading applications. however Post-adoption behavior, continuance intention,
long-term engagement, investor pleasure, and actual investment outcomes following
the adoption of AI-enabled mobile trading apps, have received very little study. As a
result, it is still unclear whether ordinary investors stick with these platforms over time
or stop using them because of things like perceived risk, technological complexity,
trust concerns, or financial losses. Second, most empirical studies are concentrated in
developed nations or chosen emerging economies such as China and Indonesia,
whereas, despite significant increases in retail investor involvement, fintech
acceptance, smartphone penetration, and AI-enabled financial services, developing
nations like India are still relatively understudied. India has seen a sharp rise in Demat
accounts and digital investment participation in recent years; however, limited empirical
evidence exists regarding how Indian retail investors interact with AI-integrated mobile
stock trading applications. Subsequent investigations could uncover more viable
remedies and offer more profound understanding of the effective and conscientious
implementation of AI-powered trading technology. In this regard, comparative and
longitudinal research may also offer important insights into shifting investor
perspectives and behaviour across various market circumstances and demographic
groups. In order to comprehend the behavioural, psychological, technological, and
financial elements driving retail investors' use of mobile trading platforms in the Indian
setting, further context-specific research is required (Grima et al., 2021).

Overall, the review's results show that the field of AI-enabled mobile stock trading apps
is still developing and has significant chances for further theoretical and empirical
development. In future, across the globe, retail investment behaviour may change as AI
is increasingly incorporated into mobile investing platforms. Further improved regulatory

122