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


                    RQ2: Which are the most influential countries, journals, articles and authors that have
                    contributed  towards  literature  of  mobile  stock  trading  applications  in  Investment
                    decisions?
                    RQ3: What are the influential research themes in this domain?
                    RQ4: What is the future research agenda of Artificial Intelligence-Enabled Mobile
                    Stock Trading Applications for Investment Decisions.

                    2. RESEARCH METHODOLOGY
                    The current study has adopted the bibliometric and thematic analysis to structure the
                    existing knowledge and analyze the field of mobile trading applications in Investment
                    decisions as previous studies also incorporated these techniques to synthesized the
                    literature in different domains (Ahuja et al., 2025; Bala et al., 2025; Dhingra et al.,
                    2024; Horani et al., 2025; Jain et al., 2022). To perform the transparent literature
                    review,  this  study  have  followed  the  approach  provided  by  the  (Khanra,  Dhir,  &
                    Mäntymäki, 2020; Khanra, Dhir, Islam, et al., 2020), which includes three stages:
                    scanning, curating and reporting the sample.

                    2.1 Scanning Phase
                    To  perform  this  study,  an  initial  exploration  of  relevant  keywords  related  to  mobile
                    trading adoption for investment was carried out using the Google Scholar database. Based
                    on the preliminary examination of the existing literature, key words to this domain are
                    investing,  trading,  mobile  based  trading/investing,  retail  investment,  fintech,  digital
                    investment, AI based mobile trading application. Using these keywords, a comprehensive
                    search string was developed to ensure the broader aspect of this domain.

                    Title: “mobile stock trading” OR “retail investment” OR “mobile retail investment”
                    OR “mobile investing” OR “mobile stock trading” OR “mobile equity trading” OR
                    “trading  app”  OR  “stock  trading  application”  OR  “share  trading  application”  OR
                    “investment  application”  OR  “mobile  investment  application”  OR  “mobile
                    investment platform” OR “fintech trading app” OR “fintech investment platform” OR
                    “wealthtech” OR “digital investment service” OR “mobile brokerage application” OR
                    “online  brokerage  application”  OR  “mobile  finance  application”  OR  “automated
                    investment service” OR “algorithmic investment platform” OR “AI-driven trading”
                    OR “agentic AI” OR “service Robot*” OR “social robot*” OR “robo advisor*” OR
                    “artificial Intelligence*” OR “AI chatbot*” OR “chatbot*” OR “conversational AI”
                    And
                    Title: "investing" OR "stock trad*" OR "investment*"
                    The search query was performed in March 2026 using the Scopus Database to retrieve
                    the publications within this domain. The Scopus database has been selected due to the
                    wide coverage of publications of multidisciplinary research. Further, Scopus database


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