Exploring behavioural bias affecting investment decision making: a network cluster based conceptual analysis for future research

Purpose: This study systematically explores the patterns and connections in the behavioural bias and investment decisions of existing literature in the SCOPUS database published between 2007 and 2022. Design/methodology/approach: Deep screening precedes our application of a systematic literature review and bibliometric analysis, allowing us to examine the content of 27 research works that are most relevant to our topic. With the assistance of bibliometric analysis, the most important documents contributed by authors, nations, and journals, as well as their citations, the relation between keywords and authors, and an analysis of the worldwide collaboration of countries are all included. This study analyses the trends, the intellectual structure, and provides directions for the future of academic research. Findings: In the article, it was determined which contributed documents were the most significant in this particular subject area, along with the citations, publications, and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take. Research limitations/implications: This study considered only articles from the SCOPUS database. Future studies can be based on papers that have been published in other databases. Originality/Value: The outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions