CAPITAL MARKET AND DYNAMIC ADAPTATION MODEL: A SYSTEMATIC LITERATURE REVIEW

Abstract This study contributes to the capital market literature with a systematic literature review focused on the Dynamic Adaptation Model. The database used only focuses on journals indexed by Scopus in 2024. The sample in this study consists of 183 research articles. This study uses quantitative and integrative analysis, and reveals complex network associations, and detailed research trend analysis. This study contributes to the capital market literature by utilizing a robust and accurate methodology—the integration of bibliographies, also considering academic journals, using a broader range of keywords, and not enforcing any limitations related to the field of knowledge, thereby increasing the contribution of existing literature by allowing insights from more high-quality peripheral studies on the subject. The conclusions of this study are significant for researchers, investors, regulators, and the academic community in general. This study provides a highly structured network and clear information for research and literature, for future studies on capital market investment. This study also presents valuable insights to understand the microstructure of the capital market better and provide useful information for regulators to regulate the capital market effectively.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19607163
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

CAPITAL MARKET AND DYNAMIC ADAPTATION MODEL: A SYSTEMATIC LITERATURE REVIEW

Ita Fionita, Edi Pranyoto, Dedi Putra, SUSANTI
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
article

CAPITAL MARKET AND DYNAMIC ADAPTATION MODEL: A SYSTEMATIC LITERATURE REVIEW

Ita Fionita, Edi Pranyoto, Dedi Putra, SUSANTI
article en

Abstract

Abstract This study contributes to the capital market literature with a systematic literature review focused on the Dynamic Adaptation Model. The database used only focuses on journals indexed by Scopus in 2024. The sample in this study consists of 183 research articles. This study uses quantitative and integrative analysis, and reveals complex network associations, and detailed research trend analysis. This study contributes to the capital market literature by utilizing a robust and accurate methodology—the integration of bibliographies, also considering academic journals, using a broader range of keywords, and not enforcing any limitations related to the field of knowledge, thereby increasing the contribution of existing literature by allowing insights from more high-quality peripheral studies on the subject. The conclusions of this study are significant for researchers, investors, regulators, and the academic community in general. This study provides a highly structured network and clear information for research and literature, for future studies on capital market investment. This study also presents valuable insights to understand the microstructure of the capital market better and provide useful information for regulators to regulate the capital market effectively.

Zenodo (CERN European Organization for Nuclear Research)
Informatics and Business Institute Darmajaya (ID)
Openalex Percentile: Top 3%
Complex Systems and Time Series Analysis
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