Knowledge management in environmental sustainability practices of third-party logistics service providers

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.

2012 ◽  
Vol 24 (3) ◽  
pp. 515-532 ◽  
Author(s):  
Tejas R. Shah ◽  
Mahendra Sharma

PurposeThe purpose of this paper is to develop a scale for measuring benefits of third party logistics service providers for co‐operative dairies in an Indian context. The objective is to measure benefits of third party logistics service providers for co‐operative dairies.Design/methodology/approachA standard scale development research procedure recommended by experts was followed. First, the literature review of studies to measure benefits of third party logistics was undertaken. Later, Delphi method was used. Interviews were conducted of experts and customers for understanding and generating items for measuring benefits of third party logistics service providers for co‐operative dairies. A survey was then undertaken first for development of the scale and later for validation purpose.FindingsA reliable and valid scale is developed to measure the five dimensions of benefits of using 3PLSPs for co‐operative dairies: responsiveness, accuracy, customization of service, inventory handling and order processing and information sharing.Research limitations/implicationsThis scale is developed to outsource logistics functions at operational levels in the context of co‐operative dairies in India. So, this scale can be tested for co‐operative dairies of countries other than India. The scale can also be tested where outsourcing of logistics activities is done at operational level, other than co‐operative dairies.Practical implicationsThe proposed scale can be used as a diagnostic tool to identify important benefits to consider in outsourcing operational function of logistics management to 3PLSPs in co‐operative dairies.Originality/valueMost relevant studies about benefits of third party logistics service providers do not have stable factor structure, especially for co‐operative dairies. The new scale fills the gap of the absence of a validated scale to measure benefits of 3PLSPs for co‐operative dairies at operational level.


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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