The results provide a deeper insight into publication trends, most prolific countries, institutions and journals in the area of cross-listing.
Authors
Vaibhav Aggarwal, Assistant Professor, Jindal Business School, OP Jindal Global University, Sonipat, India.
Shallu Batra, Department of Commerce, Maharshi Dayanand University, Rohtak, India.
Mohit Saini, Department of Commerce, Maharshi Dayanand University, Rohtak, India.
Mahender Yadav, Department of Commerce, Maharshi Dayanand University, Rohtak, India.
Summary
This study aims to conduct a comprehensive bibliometric analysis to determine the intellectual structure of cross-listing studies and suggests a road map for future research in this field.
Methodology
A step-by-step procedure was carried out. With the help of a defined search string, 580 articles from reputed journals have been retrieved from the Scopus database. Bibliographic coupling and keyword analysis were executed to understand the current research scenario and future research directions in this research field. In addition, R Studio combined with VOSviewer was employed to analyse and visualise the data.
Findings
The results provide a deeper insight into publication trends, most prolific countries, institutions and journals in the area of cross-listing. The highest collaboration was observed between the authors in the USA and Canada. Moreover, the results contradict Bradford’s and Lotka’s laws. A thorough review of the literature identifies five clusters in this domain. Finally, keyword analysis offers a future road map in cross-listing research.
Originality
Researchers have shown greater interest in cross-listing topics over the past decades. Even though the research volume on this subject is increasing, the current retrospective is still insufficient. To the best of the authors’ knowledge, this study is the first to provide valuable insights to practitioners, academicians, and prospective researchers about the intellectual structure of cross-listing and also offers future avenues in this research field through bibliometric analysis.
Published in: Managerial Finance
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