Supply chain management resources, capabilities and execution

Kotzab, Herbert, Teller, Christoph, Grant, David B. and Friis, Anders (2015). Supply chain management resources, capabilities and execution. Production Planning and Control, 26 (7), pp. 525-542.

Abstract

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 conceptual model proposes the effects of SCM resources and capabilities as influencing factors on SCM execution. The 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 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.

Publication DOI: https://doi.org/10.1080/09537287.2014.927932
Divisions: Aston Business School > Work & organisational psychology
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Production Planning & Control on 19 June 2014, available online at: http://www.tandfonline.com/10.1080/09537287.2014.927932
Uncontrolled Keywords: network,resource-based view,structural equation modelling,supply chain execution,supply chain management,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Industrial and Manufacturing Engineering
Full Text Link: http://epubs.su ... y.ac.uk/807193/
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2015-05-19
Authors: Kotzab, Herbert
Teller, Christoph
Grant, David B.
Friis, Anders ( 0000-0002-2727-2714)

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