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How Do Different Supply Chain Configuration Settings Impact on Performance Trade-Offs?
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
Politecnico di Milano.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.ORCID iD: 0000-0001-5912-441X
2017 (English)In: International Journal of Logistics Systems and Management, ISSN 1742-7967, E-ISSN 1742-7975, Vol. 26, no 1, 34-56 p.Article in journal (Refereed) Published
Abstract [en]

The notion of ‘fit’ in the supply chain management literature (SCM) has evolved following the adoption of the contingency approach in an endeavour to achieve greater organisational effectiveness. In this paper, we investigate the possible approaches to achieving a state of fit between supply chain configuration settings and performance indicators, while taking into account the contextual factors related to different industry sectors and geographical dispersion levels. This study addresses the pressing issue of the performance trade-offs faced by companies to achieve a higher service level and customer satisfaction (effectiveness) on the one hand, while being cost-efficient on the other hand (efficiency).

The paper contributes to the SCM literature and practice through synthesising a conceptual framework that scrutinises the relationships between six individual configuration settings and nine effectiveness/efficiency indicators. The study’s findings explain the motivations behind different configuration decisions, which help in obtaining the most appropriate fit between supply chain configuration and performance. 

Place, publisher, year, edition, pages
InderScience Publishers, 2017. Vol. 26, no 1, 34-56 p.
Keyword [en]
supply chain configuration, supply chain design, supply chain fit, contingency approach, efficiency, effectiveness, performance management, performance trade-offs
National Category
Economics and Business
Research subject
Industrial Engineering and Management
Identifiers
URN: urn:nbn:se:kth:diva-176103DOI: 10.1504/IJLSM.2017.10000702Scopus ID: 2-s2.0-85002959263OAI: oai:DiVA.org:kth-176103DiVA: diva2:866173
Projects
Funded by the European Commission, Erasmus Mundus Action 1 - EMJD Programme European Doctorate in Industrial Management (EDIM)
Funder
EU, European Research Council
Note

QC 20151102. QC 20160112

Available from: 2015-11-01 Created: 2015-11-01 Last updated: 2017-12-01Bibliographically approved

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