scholarly journals Multi-Criteria Decision-Making Methods Application in Supply Chain Management: A Systematic Literature Review

2018 ◽  
Author(s):  
Sharfuddin Ahmed Khan ◽  
Amin Chaabane ◽  
Fikri T. Dweiri
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Multi Criteria Decision Making ◽  
Chain Management

Dynamic capabilities in humanitarian supply chain management: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdussamet Polater
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Dynamic Capabilities ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Humanitarian Supply Chain ◽  
Humanitarian Supply Chain Management

PurposeThe main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.Design/methodology/approachThis study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.FindingsThis SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.Originality/valueThe result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.

Payment Delay in Supply Chain Management: A Systematic Literature Review

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Salah Eddine Mohamed Hicham ◽  
Tarik Saikouk ◽  
Abdelaziz Berrado
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Chain Management

scholarly journals A SYSTEMATIC LITERATURE REVIEW ON DEVELOPMENT OF GREEN SUPPLY CHAIN MANAGEMENT

2020 ◽  
Vol 22 (1) ◽  
pp. 351-370
Author(s):  
Md. Nekmahmud ◽  
Shafiqur Rahman ◽  
Farid Ahammad Sobhani ◽  
Katarzyna Olejniczak-Szuster ◽  
Maria Fekete-Farkas
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management

Competence in supply chain management: a systematic review

2017 ◽  
Vol 22 (2) ◽  
pp. 200-218 ◽  
Author(s):  
Pernilla Derwik ◽  
Daniel Hellström
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Scientific Journal ◽  
Organizational Level ◽  
Business Success ◽  
Chain Management ◽  
Content Type ◽  
The Subject

Purpose This paper aims to present an integrated view of the literature published on all aspects and facets of competence in supply chain management (SCM) and furthermore provides a framework for classifying and analyzing literature to facilitate further study, practice and research. Design/methodology/approach A systematic literature review identified 98 peer-reviewed scientific journal publications on the subject of competence in SCM. Findings This review identifies and classifies the key content of the subject based on whose competence (level of analysis) and the type of competence (competence element), resulting in a framework that brings together aspects at the individual and organizational level, and of the functional, relational, managerial and behavioral elements of competence from the SCM literature. It furthermore displays the timeliness and wide-ranging character of the subject, as presented by the evolutionary timeline and the main research streams. Research limitations/implications Although competence in SCM is a key to business success, the subject is ambiguous and an explicit need exists for more research. This paper provides a foundation for future examination of and theory building in this subject. It also alerts researchers to complementary studies outside of their own “customary” domains. Practical implications This paper can support managers in their pursuit to secure competence in SCM and thereby improve outcomes on both individual and organizational level. It can furthermore assist in the development of relevant programs and training sessions. Originality/value To the best of authors’ knowledge, this work represents the first systematic literature review on the subject of competence in SCM. In addition, it proposes a taxonomy for mapping and evaluating research on this subject.

Establishment of Green Supply Chain Management in Steel Industries Using Interpretive Structural Modeling

2019 ◽  
Vol 18 (4) ◽  
pp. 363-374
Author(s):  
Rajesh Kumar ◽  
Shiena Shekhar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Steel Industries

Abstract The state of Chhattisgarh in India has a very large number of steel plants causing pollution in the region. The effect of this pollution exceeds the geographical territory of a unit, and goes much beyond it, so it becomes essential to find the reasons for the pollution and the enablers for the green supply chain management, which in turn will help in providing a cleaner environment. In this study Multi-Criteria Decision Making (MCDM) tools like Interpretive Structural Modeling and MICMAC analysis have been used.

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