MNEs from emerging markets: a review of the current literature through “bibliographic coupling” and social network analysis

Abstract

PurposeIn recent years, author and document citation and co-citation analyses have often been applied to map the “intellectual structure” of different scientific fields, including management and international business. However, the technique of bibliographic coupling between scientific documents, which seeks to identify active research fronts in a scientific field or discipline, has been less commonly used. This study utilized this technique to identify and visualize the research fronts in the context of papers on emerging markets multinational enterprises (EM-MNEs) recently published in a wide variety of journals. The aim is not only to complement and expand the results obtained in prior studies that have used other types of systematization, such as qualitative content analysis methodology but also to propose avenues for future research.Design/methodology/approachThe primary databases utilized to carry out the present research work – both comprised in the Web of Science™ (WoS) Core Collection – were: the Social Sciences Citation Index® (SCI) developed by the Institute for Scientific Information (ISI) and the Emerging Sources Citation Index. A total of 496 “peer-reviewed journal articles” published between 2014 and December 30, 2019 were retrieved. With regards to the methodology, bibliometric methods were utilized, as well as social network analysis (SNA).FindingsParticularly, the analytical techniques employed – adopting a “quantitative” method of a deductive character – allowed the identification of the most active research “fronts” in international research related to the topic under analysis: the phenomenon of EM-MNEs.Research limitations/implicationsThe present study has several limitations resulting from the utilization of bibliometric methods applied in the analyses performed.Originality/valueThe authors believe that this research is of value for future researchers since it allows the identification of research “fronts,” which shape the vanguard of knowledge and reveal current trends and future directions in the area under examination.