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Supply chain management resources, capabilities and execution

Kotzab, Herbert; Teller, Christoph; Grant, David B.; Friis, Anders


Herbert Kotzab

Christoph Teller

David B. Grant

Anders Friis


This paper identifies inter- and intra-organisational management resources that determine the level of execution of inter-firm alliance supply chain management (SCM). By drawing on network and resource-based view theories, a con- ceptual model proposes the effects of SCM resources and capabilities as influencing factors on SCM execution. The 10 model was tested using survey data from studies conducted in two European supply chain environments. Variance-based structural equation modelling confirmed the hypothesised hierarchical order of three proposed antecedents: internal SCM resources affect joint SCM resources, which in turn influence collaborative SCM-related processes and finally SCM execution. An importance-performance analysis for both settings shows that providing and investing in internal SCM resources should be a priority when aiming to increase SCM execution. The theoretical contribution of this paper lies in 15 confirming that the improvement of SCM execution follows a clear pathway featuring internal supply chain resources as one of the main drivers. The practical implications of this research include the development of a prioritisation list of measures that elevate SCM execution in the two country settings.

Journal Article Type Article
Publication Date Jan 1, 2015
Journal Production planning & control
Print ISSN 0953-7287
Electronic ISSN 1366-5871
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 26
Issue 7
Pages 525-542
APA6 Citation Kotzab, H., Teller, C., Grant, D. B., & Friis, A. (2015). Supply chain management resources, capabilities and execution. Production planning & control, 26(7), 525-542.
Keywords Supply chain management; Supply chain execution; Resource-based view; Network; Structural equation modelling
Publisher URL
Copyright Statement ©2014 Taylor & Francis
Additional Information This is an author accepted manuscript of an article published in Production planning & control, 2015, v.26 issue 7.


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