Maheshwari H, Anup K. Samantaray, Jyoti Ranjan Jena
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Bibliometric analysis was conducted using VOS-viewer software, which identified the most prolific articles, authors and journals in the field. Moreover, a thematic analysis was performed to identify six clusters of author keywords, which were further grouped into three broader themes. This process shed light on the connections and patterns prevalent in the study of behavioural biases in investment decision-making. Crucially, keywords with the lowest link strength and co-occurrences played a vital role in identifying potential areas for future research. Additionally, the study identified approximately 50 research articles published from 30 top journals with the highest citations and h-index for further investigation. By following this systematic process, the study not only highlights gaps in the existing literature but also provides valuable insights for future endeavours. 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引用次数: 0
摘要
过去二十年来,在投资决策背景下探索行为偏差的研究工作显著增加。这种增长可归因于学术界学者日益增长的兴趣和发表的努力。本研究的目的是利用文献计量学工具,对有关行为偏差对投资决策(ID)影响的现有学术文献进行系统的文献综述(SLR)。首先,通过在 Scopus 数据库中进行关键词搜索,收集了约 124 篇研究论文。然后对这些论文进行了纳入和排除标准,最终选择了 82 篇论文进行深入分析。利用 VOS-viewer 软件进行了文献计量分析,确定了该领域中最多产的文章、作者和期刊。此外,还进行了主题分析,确定了六组作者关键词,并将其进一步归纳为三个更广泛的主题。这一过程揭示了投资决策行为偏差研究中普遍存在的联系和模式。最重要的是,链接强度和共现次数最低的关键词在确定未来研究的潜在领域方面发挥了至关重要的作用。此外,本研究还从 30 种顶级期刊中确定了约 50 篇引用率和 h 指数最高的研究文章,供进一步研究。通过这一系统化的过程,本研究不仅突出了现有文献中的空白,还为今后的工作提供了宝贵的见解。最终,本研究将成为指导行为偏差及其对 ID 影响领域进一步研究的路线图。通过深入研究围绕这些偏见的关系和主题,本研究旨在为促进该领域的知识发展做出重要贡献。
Unravelling Behavioural Biases in Individual and Institutional Investors Investment Decision- making: Intersection of Bibliometric and Systematic Literature Review
Over the past two decades, there has been a remarkable increase in research endeavours in exploring behavioural biases within the context of investment decision-making. This growth can be attributed to the growing interest and publication efforts of academic scholars. The objective of this study is to conduct a systematic literature review (SLR) of the existing academic literature on the influence of behavioural biases on investment decisions (ID), utilizing bibliometric tools. Initially, a corpus of approximately 124 research papers was gathered by conducting a keyword search in the Scopus database. These papers were then subjected to inclusion and exclusion criteria, resulting in a final selection of 82 papers for in-depth analysis. Bibliometric analysis was conducted using VOS-viewer software, which identified the most prolific articles, authors and journals in the field. Moreover, a thematic analysis was performed to identify six clusters of author keywords, which were further grouped into three broader themes. This process shed light on the connections and patterns prevalent in the study of behavioural biases in investment decision-making. Crucially, keywords with the lowest link strength and co-occurrences played a vital role in identifying potential areas for future research. Additionally, the study identified approximately 50 research articles published from 30 top journals with the highest citations and h-index for further investigation. By following this systematic process, the study not only highlights gaps in the existing literature but also provides valuable insights for future endeavours. Ultimately, this study serves as a roadmap for guiding further investigations in the field of behavioural biases and their influence on ID. By delving into the relationships and themes surrounding these biases, the research aims to contribute significantly to the advancement of knowledge in this domain.
期刊介绍:
South Asian Journal of Business and Management Cases (SAJBMC) is a peer-reviewed, tri-annual journal of Birla Institute of Management Technology, Greater Noida (India). The journal aims to provide a space for high-quality original research or analytical cases, evidence-based case studies, comparative studies on industry sectors, products, and practical applications of management concepts. The journal likes to publish problem-solving, decisional and applied types of cases. Such cases must have linkage with theory, at least one dilemma (also known as case issue) and a protagonist around whom the case issue will revolve. Publication of pure research, applied research and field studies with empirical data do not fall under the domain of SAJBMC. Fictitious cases are not welcome.