Page 123 - Azerbaijan State University of Economics

THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.83, # 1, 2026, pp. 107-131

frameworks by increasing investor awareness, AI literacy and providing more
comprehensive empirical research on post-adoption investment behaviour and long-term
investor outcomes, are necessary for this sector to flourish sustainably.

6. LIMITATION OF THE STUDY
Although the current study contributes thorough bibliometric and thematic insights
into mobile stock trading apps with AI capabilities, considerable limitations should be
acknowledged. First, as the Scopus database comprises a wide range of research
articles in business and management disciplines, the study is mostly focused on
publications that are indexed in the Scopus database only. Further study may make
use of resources such as Web of Science, JSTOR, and ProQuest to expand the
document pool and enhance research coverage. Secondly, bibliometric analysis
mainly captures publication trends, citation structures, and thematic evolution.
However, It might not fully explain the practicality or behavioural outcomes of AI-
enabled trading platforms. Furthermore, the overall results primarily rely on the
keywords, search strings, and inclusion exclusion criteria chosen, which could affect
the range of retrieved material. Lastly, new research dimensions may develop beyond
the era covered in this analysis due to the continuously growing nature of fintech
ecosystems and AI technology.

7. IMPLICATIONS
7.1 Practical Implications
The study's findings have several practical implications for legislators, fintech
companies, mobile trading platform developers, and financial institutions. The study
affirms the rising significance of AI-enabled features to improve decision-making
efficacy and investor engagement, mainly automated portfolio management,
personalised investment recommendation, predictive analytics, and robo-advisory
services. This information could be used by fintech companies and neo-broker
platforms to create trading applications that are more accessible, transparent, safe, and
user-centric for individual investors. According to the study, investor confidence and
ethical investing behavior can be enhanced by raising financial literacy, AI awareness,
and digital investment education. These findings could be used by policymakers and
regulatory bodies to create more robust regulatory frameworks concerning
algorithmic transparency, investor protection, AI governance, data privacy, and
ethical financial practices in digital investing settings.

7.2 Social implication
The growing use of AI-powered mobile trading apps has wider social ramifications
for digital economic engagement and financial inclusion By lowering entry barriers
and transaction costs, mobile trading platforms have increased access to investment

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