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Purpose The purpose of this study is to explore the quality of research work done in behavioral accounting through bibliometric analysis so that biases can be spotted and implications can be drawn. Design/methodology/approach The most recent papers on a given topic – behavioral accounting in this study – are gathered, assessed and analyzed using a systematic literature review approach, which is a rigorous process. Books, scientific publications and conference papers were used to discover, compile and synthesize pertinent information (Garca, 2013; Snyder, 2019). In this study, the authors used an iterative cycle methodology, which entails selecting pertinent keywords, conducting a literature search in the database of choice and then conducting the analysis. Findings Using bibliometric analysis, this study offers a fresh viewpoint on fundamental behavioral accounting concepts. The results suggest that important areas in the relevant behavioral accounting disciplines are changing, with important ramifications for academics and practitioners to better understand prospect theory and social identity theory. Research limitations/implications Researchers should parameterize their outputs to make it easier to synthesize the state of the art in behavioral accounting, which would advance the subject. Practical implications The study has important policy implications because it shows that decision-makers are increasingly focused on creating ethical and open accounting practices, which are essential for building improved accounting practices in the Big Data era. Social implications It is elementary in and of itself to recognize that accounting data are an outcome and a consequence of human behavior. The study itself makes a case for the social ramifications of this kind of study. Originality/value The study offers a comprehensive bibliometric analysis of behavioral accounting research sourced from the Scopus database. It presents a curated collection of leading works in the domain, categorized by articles, authors, publications, institutions and nations. This examination provides a current snapshot of advancements in behavioral accounting and can be perceived as an evolution of previous literature reviews that relied on traditional approaches. Notably, this is the inaugural study using solely bibliometric techniques.
Purpose The purpose of this study is to explore the quality of research work done in behavioral accounting through bibliometric analysis so that biases can be spotted and implications can be drawn. Design/methodology/approach The most recent papers on a given topic – behavioral accounting in this study – are gathered, assessed and analyzed using a systematic literature review approach, which is a rigorous process. Books, scientific publications and conference papers were used to discover, compile and synthesize pertinent information (Garca, 2013; Snyder, 2019). In this study, the authors used an iterative cycle methodology, which entails selecting pertinent keywords, conducting a literature search in the database of choice and then conducting the analysis. Findings Using bibliometric analysis, this study offers a fresh viewpoint on fundamental behavioral accounting concepts. The results suggest that important areas in the relevant behavioral accounting disciplines are changing, with important ramifications for academics and practitioners to better understand prospect theory and social identity theory. Research limitations/implications Researchers should parameterize their outputs to make it easier to synthesize the state of the art in behavioral accounting, which would advance the subject. Practical implications The study has important policy implications because it shows that decision-makers are increasingly focused on creating ethical and open accounting practices, which are essential for building improved accounting practices in the Big Data era. Social implications It is elementary in and of itself to recognize that accounting data are an outcome and a consequence of human behavior. The study itself makes a case for the social ramifications of this kind of study. Originality/value The study offers a comprehensive bibliometric analysis of behavioral accounting research sourced from the Scopus database. It presents a curated collection of leading works in the domain, categorized by articles, authors, publications, institutions and nations. This examination provides a current snapshot of advancements in behavioral accounting and can be perceived as an evolution of previous literature reviews that relied on traditional approaches. Notably, this is the inaugural study using solely bibliometric techniques.
Objectives The Sustainable Development Goals (SDGs) have been a significant focus of environmental, social and governance sustainability research. Diversity management is one of the challenges faced by corporate governance in achieving SDG 4, 5, 8, and 10. However, rapid demographic changes in the global workforce create significant challenges for human resource development professionals when focusing on diversity management. This paper aims to define the different perspectives of diversity management to avoid sustainability distortions such as social washing and pinkwashing, which promote the perception that policies or products of a given company are socially responsible. Methodology The analysis of the existing literature can provide the information necessary to answer the research questions using rigorous scientific research methods. In the present study bibliometric analysis was used to enable a thorough and reliable analysis of knowledge on the topic and the identification of future progress. Bibliometric analysis was used to investigate the final pool of 126 peer-reviewed articles. Findings Contributions include advancing the understanding of diversity management, highlighting the dominance of communication bias, and strengthening the connection between social sustainability and the individual by identifying social exchange theory as a tool for explaining the ongoing changes in corporate governance. Value added The paper aims to answer research questions related to the journals relevant to the study of diversity management, the geographical structure of the research flow on diversity management, and the possible implications for future research on this topic. Recommendations In light of the clusters identified, it is recommended that forthcoming researchers explore the fitting theories that can be used to elucidate the phenomenon of diversity management. In addition, interdisciplinary research can facilitate a deeper understanding of issues concerning identity and gender, thereby enhancing the knowledge of diversity among managers. The paper recommends that future studies emphasize the differences in diversity management between national and multinational companies expanding the knowledge by conducting multiple case studies.
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