The intellectual structure of the waste management field

Waste management is an important issue in the field of green logistics. It has consequently drawn the attention of the scientific community and has been extensively investigated over the past few years. Through an analysis of the existing waste management literature, we attempt in this paper to bett...

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Bibliographic Details
Published in:Annals of operations research Vol. 294; no. 1-2; pp. 655 - 676
Main Authors: Argoubi, Majdi, Jammeli, Haifa, Masri, Hatem
Format: Journal Article
Language:English
Published: New York Springer US 01.11.2020
Springer
Springer Nature B.V
Subjects:
Algorithms
Bibliometrics
Business and Management
Citation analysis
Clustering
Cocitation
Combinatorics
Environmental aspects
Linear programming
Logistics
Methods
Mixed integer
Modular construction
Modularity
Nonlinear programming
Operations research
Operations Research/Decision Theory
Refuse and refuse disposal
S.i.: Balcor-2017
Scientific papers
Theory of Computation
Waste management
Tunisia
Waste management
Co-citation analysis
Heuristics
Optimization
Literature mapping
Intellectual structure
ISSN:0254-5330, 1572-9338
Online Access:Get full text
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Summary:Waste management is an important issue in the field of green logistics. It has consequently drawn the attention of the scientific community and has been extensively investigated over the past few years. Through an analysis of the existing waste management literature, we attempt in this paper to better understand past developments in this area as well as emerging trends and recent developments. Emphasis will be put mainly on Operations Research and Management Science techniques when dealing with waste management problems. To reach this target, we follow bibliometric-based methods, specifically Co-citation Analysis, Betweenness Centrality and Burst Detection combined with network visualization. After identifying the research papers published between 1990 and 2018 within the Thomson Reuters Web of Science database, a Co-citation network has been constructed. We propose an algorithm for modularity-based clustering in small networks that iteratively solves a sequence of Mixed Integer Non-linear Programming problems to maximize the modularity therefore providing a non-overlapping partition of the network. A display of the principal research areas and landmark articles that shape the intellectual structure of the waste management problems during the last 30 years is reported.
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-020-03570-3