EMERGING TRENDS AND COLLABORATIVE NETWORK PATTERNS ON REVERSE LOGISTICS

Reverse Logistics includes the planning, implementation and control of the reverse flow of post-sales and post-consumption goods. The purpose of this article is to identify emerging collaborative networks and scientific areas on Reverse Logistics (RL) using temporal, geospatial and topical analyses....

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Veröffentlicht in:Independent Journal of Management & Production 2018-04, Vol.9 (2), p.321-339
Hauptverfasser: Simão, Marina Pires de Lima, Barbosa, Danilo Hisano, Kurumoto, Juliana Sayuri, Leal, Gislaine Camila Lapasini, Galdamez, Edwin Vladimir Cardoza, Cotrim, Syntia Lemos
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container_end_page 339
container_issue 2
container_start_page 321
container_title Independent Journal of Management & Production
container_volume 9
creator Simão, Marina Pires de Lima
Barbosa, Danilo Hisano
Kurumoto, Juliana Sayuri
Leal, Gislaine Camila Lapasini
Galdamez, Edwin Vladimir Cardoza
Cotrim, Syntia Lemos
description Reverse Logistics includes the planning, implementation and control of the reverse flow of post-sales and post-consumption goods. The purpose of this article is to identify emerging collaborative networks and scientific areas on Reverse Logistics (RL) using temporal, geospatial and topical analyses. The study is based on the bibliometric networks analysis, a technique used to measure scientific development, production indexes and dissemination of knowledge. The main results of the research stand out the relationship of knowledge areas and scientific gaps, the identification of the main authors and the aspects related to the social network of cooperation of the authors such as country citat ion and network density.
doi_str_mv 10.14807/ijmp.v9i2.689
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subjects Authorship
Bibliometrics
Collaboration
Competitive advantage
Consumption
Data collection
Knowledge
Library and information science
Logistics
Management science
Product returns
Raw materials
Reverse logistics
Scientometrics
Social network analysis
Social networks
Software
Studies
Trends
title EMERGING TRENDS AND COLLABORATIVE NETWORK PATTERNS ON REVERSE LOGISTICS
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