scholarly journals Reverse Supply Chain Management – Modeling Through System Dynamics

10.5772/23666 ◽  
2011 ◽  
Author(s):  
Rafael Rodriguez-Fernandez ◽  
Beatriz Blanco ◽  
Adolfo Blanco ◽  
Carlos A.
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
System Dynamics ◽  
Reverse Supply Chain ◽  
Chain Management

An end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0

2019 ◽  
Vol 112 ◽  
pp. 103127 ◽  
Author(s):  
Celia Garrido-Hidalgo ◽  
Teresa Olivares ◽  
F. Javier Ramirez ◽  
Luis Roda-Sanchez
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
End To End

scholarly journals A roadmap for applying qualitative comparative analysis in supply chain research

2019 ◽  
Vol 49 (1) ◽  
pp. 99-120 ◽  
Author(s):  
Ivan Russo ◽  
Ilenia Confente ◽  
David Gligor ◽  
Nicola Cobelli
Keyword(s):  
Supply Chain ◽  
Comparative Analysis ◽  
Supply Chain Management ◽  
Customer Satisfaction ◽  
Management Practices ◽  
Theoretical Perspective ◽  
Qualitative Comparative Analysis ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
Content Type

PurposeThe purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain researchers can utilize when applying this methodology.Design/methodology/approachData collection focused on the evaluation of product returns management practices as perceived by business customers who operate in a supplier–customer context. In order to analyze the data using the QCA approach, a multi-step analysis was developed.FindingsThe results indicate five solutions that lead to high levels of customer satisfaction. The existence of multiple sufficient configurations for customer satisfaction indicates equifinality because multiple alternative solutions can lead to the same outcome.Research limitations/implicationsThe authors make a methodological contribution by applying the QCA method to the field of supply chain management and providing a detailed roadmap that supply chain researchers can utilize.Practical implicationsThe authors provide managers five different and novel combinations of antecedents that lead to higher levels of customer satisfaction.Originality/valueThis study offers supply chain researchers a better understanding of when it is appropriate to use QCA and how to apply this methodology. From a theoretical perspective, past studies focused exclusively on the “net effects” of these antecedents, thus, did not capture the complexity of the relationships between these various antecedents and customer satisfaction. This is a noteworthy contribution as it highlights the complexity of the amalgam of relationships and factors that impact customer satisfaction within the context of reverse supply chain.

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