scholarly journals Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016

2018 ◽  
Vol 10 (5) ◽  
pp. 1627 ◽  
Author(s):  
Pietro Evangelista ◽  
Lodovico Santoro ◽  
Antonio Thomas
VINE ◽  
2015 ◽  
Vol 45 (4) ◽  
pp. 509-529 ◽  
Author(s):  
Pietro Evangelista ◽  
Susanne Durst

Purpose – The purpose of this paper is to provide a structured literature review on knowledge management (KM) and KM strategy in environmental sustainability practices of logistics service providers. The paper highlights the nature and scope of existing research and identifies areas for future research. Design/methodology/approach – The study consists of a systematic review of existing research regarding KM in sustainable logistics. In all, 38 refereed research papers formed the basis of analysis. This methodology allows for the minimization of researcher bias and the maximization of reliability and replicability. Findings – The literature review made possible the identification of three basic elements through which building-up appropriate KM approaches and KM strategies in the area of environmental sustainability by third-party logistics service companies will be enhanced: customer relationship management, quality of human resources and the adoption of information and communication technology tools and systems. Research limitations/implications – This study may not have enabled a complete coverage of all articles in the field of KM in the context of environmental sustainability practices of logistics service companies. Yet, it seems reasonable to assume that the review process covered a large share of studies available. The main research implications deriving from the study concern research methods, analysis of factors hampering/supporting the implementation of KM in practices related to environmental sustainability, development of measures to demonstrate the impact of KM on sustainability practices and role of different stakeholders in the implementation of KM in environmental sustainability practices. Originality/value – To the best of the authors ' knowledge, no systematic literature review on this topic has previously been published in academic journals.


Author(s):  
Papadopoulou Eleni-Maria

Supply chain complexity is reflected through the existence of multiple logistics service providers (LSPs). The decision on the appropriate logistics partner is considered significant for the chain efficiency. The managerial problem relies in the providers’ efforts to broaden their service portfolio, thus erasing controversies concerning the identification of their core competences. This issue mainly lies in the selection among an International Freight Forwarder (IFF), a Third Party Logistics Provider (3PL), and a Fourth Party Logistics Provider (4PL). The aim of this chapter is to provide an overview of the characteristics and services offered by the LSPs, present the benefits and drawbacks from the collaboration with each entity, and finally form a framework regarding their representative features. The framework is articulated based on literature review and aims to provide a guideline to the interested chain members, enabling them to assess their needs against the LSPs’ characteristics.


2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.


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