Revascularização do miocárdio sem circulação extracorpórea em pacientes acima de 75 anos: análise dos resultados imediatos

Abstract

A bibliometric analysis of reverse logistics research (1992-2015) and opportunities for future research Jian-Jun Wang Faculty of Management and Economics, Dalian University of Technology, Dalian, China Haozhe Chen College of Business, Iowa State University, Ames, Iowa, USA Dale S. Rogers Department of Supply Chain Management, Arizona State University, Tempe, Arizona, USA Lisa M. Ellram Department of Marketing, Miami University, Oxford, Ohio, USA, and Scott J. Grawe Department of Supply Chain and Information Systems, Iowa State University, Ames, Iowa, USA Abstract Purpose – Interest in reverse logistics (RL) as a critical component of supply chain management (SCM) is gaining more traction with both practitioners and academics. Because of RL’s growing strategic importance, it is imperative to conduct a timely and comprehensive literature review and to identify associated opportunities for future research. The paper aims to discuss these issues. Design/methodology/approach – In this paper, the researchers conduct an extensive bibliometric analysis of published academic articles on RL for the period of 1992-2015. Specifically, the CiteSpace software is utilized to conduct document co-citation analysis and burst detection analysis on 912 selected RL articles and their 22,642 references. Findings – This research identifies the most influential RL research publications/citations in each of the five periods and their research contribution. Using co-citation analysis, the authors are able to identify and illustrate major research themes, knowledge groups, and future research opportunities in the RL field. Originality/value – In contrast to existing literature review studies in the logistics field, the study uses impact factor as a key article selection criterion. The influential articles identified in this process well represent the core literature and RL body of knowledge and have important implications for future research. Keywords Reverse logistics, Co-citation analysis, Bibliometric analysis, Closed-loop supply chain, Burst detection, Product recovery, Returns management