Skip to content
Open access

Digital Investment Participation and Wealth Creation: A Bibliometric Analysis of Long-Term Financial Resilience Research

Aug 2026 · Journal of Intelligent Decision Making and Information Science · 0 citations · 60 references

Abstract

This paper presents a bibliometric analysis of research at the intersection of digital investment platforms (trading apps, Robo-advisors, digital brokerages, crypto exchanges) and app-based wealth management and their relationship to long-term wealth creation and financial resilience, in an attempt to map the intellectual structure and future trajectory of the field. The study adopts the four-step bibliometric approach of Donthu et al. (2021) to establish the scope of the field, identify performance analysis and science-mapping techniques (co-citation analysis, bibliographic coupling and co-word analysis), and to propose a reproducible data-collection protocol using Scopus and Web of Science Core Collection for 2010–2026, recommending VOSviewer, Bibliometrix/Biblioshiny and CiteSpace for implementation. The quantitative bibliometric run has not been completed, so citation counts, network statistics and algorithmically derived clusters are not reported. A qualitative reading of 2020–2026 literature suggests the field may provisionally organise around five recurring themes – digital financial inclusion, Robo-advisory platforms, financial and electronic literacy as antecedents of resilient investment behaviour, household-level financial resilience and the behavioural and regulatory consequences of gamified trading-app design – offered as a plausibility check to be tested against future quantitative analysis rather than as a conventional finding. The originality of the paper rests on its being one of the first to situate digital investment participation within the wealth-creation and financial-resilience literatures, rather than as a standalone fintech silo. It offers both a fully reproducible methodological template and a provisional narrative synthesis to serve as an a priori hypothesis for empirical testing in subsequent research.

Read PDF

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.