The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus

Purpose - The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984-2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984. Design/methodology/approach - A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP.Findings - Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors' cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North-South divide, signifying insufficient research collaboration between developed and developing countries' institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested.Social implications - This paper provides an increased understanding of the entire PP field and the potential research directions.Originality/value - To the best of the authors' knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.