A bibliometric and systematic review analysis of adopting decision intelligence analytics for rational decision-making
Annu and
Ravindra Tripathi
Qualitative Research in Financial Markets, 2023, vol. 16, issue 5, 915-936
Abstract:
Purpose - This paper aims to study and discover the unsearched area in behavioral finance in the new era of technology enhancement. The study has been done with two significant methodologies of reviews. This study also covers the whole structure of the investment decision scenario. Design/methodology/approach - A systematic and bibliometric analysis has been done to make this study conceptual. Data collection sources are highly indexed journals, Scopus, Web of Science and Google Scholar. The “R” package has been used to do bibliometric analysis. Start with data cleaning and import the data in biblioshiny to get and interpret the result. A total of 642 data has been finalized from 1973 to 2022. Findings - Various noticeable results have been found to accomplish the objectives and fill the gap in the study. There is a need to research both technological and psychological factors to determine the relation of these two variables with the investment decision-making of investors. Originality/value - This study has done a systematic literature review and a bibliometric analysis that shows the importance of technology enhancement for further research, which has been searchable throughout this study.
Keywords: Behavioral biases; Artificial intelligence; Investment decisions; Financial markets (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:qrfmpp:qrfm-01-2023-0005
DOI: 10.1108/QRFM-01-2023-0005
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