Supply chain management resources, capabilities and execution

Kotzab, H, Teller, C, Grant, D and Friis, A (2015) Supply chain management resources, capabilities and execution Production Planning and Control, 26 (7). pp. 525-542.

Preview	Text HkCtDgAf_PPC_2014.pdf Available under License : See the attached licence file. Download (516kB) | Preview
Preview	Text (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

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.

Item Type:	Article
Divisions :	Faculty of Arts and Social Sciences > Surrey Business School
Authors :	Kotzab, H, Teller, C, Grant, D and Friis, A
Date :	1 June 2015
DOI :	10.1080/09537287.2014.927932
Uncontrolled Keywords :	supply chain management, supply chain execution, resource-based view, network, structural equation modelling
Related URLs :	Author Publisher
Additional Information :	This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 19 June 2014, available online: http://wwww.tandfonline.com/10.1080/09537287.2014.927932
Depositing User :	Symplectic Elements
Date Deposited :	24 Feb 2015 17:18
Last Modified :	06 Jul 2019 05:14
URI:	http://epubs.surrey.ac.uk/id/eprint/807193

Actions (login required)

View Item

Downloads