Improving the Execution of Supply Chain Management in Organizations

Christoph Teller; Herbert Kotzab; David B. Grant

doi:10.1016/j.ijpe.2011.03.002

Improving the Execution of Supply Chain Management in Organizations

Christoph Teller
, Herbert Kotzab
, David B. Grant

Department of Operations Management

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The aim of this paper is to identify areas for improving the level of supply chain management (SCM) execution. A conceptual model was developed that proposes internal and joint SCM conditions and the adoption of SCM processes as the main antecedents of SCM execution. Based on a survey of 174 senior managers representing large organizations structural equation modeling was conducted followed by a three-step importance-performance analysis. The results show that internal SCM conditions, specifically information technology and human resources, are the major drivers for improving the total level of SCM execution

Original language	English
Journal	International Journal of Production Economics
Volume	140
Issue number	2
Pages (from-to)	713-720
Number of pages	8
ISSN	0925-5273
DOIs	https://doi.org/10.1016/j.ijpe.2011.03.002
Publication status	Published - 2012

Keywords

Supply Chain Management
Importance-Performance Analysis

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Cite this

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title = "Improving the Execution of Supply Chain Management in Organizations",

abstract = "The aim of this paper is to identify areas for improving the level of supply chain management (SCM) execution. A conceptual model was developed that proposes internal and joint SCM conditions and the adoption of SCM processes as the main antecedents of SCM execution. Based on a survey of 174 senior managers representing large organizations structural equation modeling was conducted followed by a three-step importance-performance analysis. The results show that internal SCM conditions, specifically information technology and human resources, are the major drivers for improving the total level of SCM execution",

keywords = "Supply Chain Management, Importance-Performance Analysis",

author = "Christoph Teller and Herbert Kotzab and Grant, \{David B.\}",

note = "Available online 21 March 2011",

year = "2012",

doi = "10.1016/j.ijpe.2011.03.002",

language = "English",

volume = "140",

pages = "713--720",

journal = "International Journal of Production Economics",

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AU - Teller, Christoph

AU - Kotzab, Herbert

AU - Grant, David B.

N1 - Available online 21 March 2011

PY - 2012

Y1 - 2012

N2 - The aim of this paper is to identify areas for improving the level of supply chain management (SCM) execution. A conceptual model was developed that proposes internal and joint SCM conditions and the adoption of SCM processes as the main antecedents of SCM execution. Based on a survey of 174 senior managers representing large organizations structural equation modeling was conducted followed by a three-step importance-performance analysis. The results show that internal SCM conditions, specifically information technology and human resources, are the major drivers for improving the total level of SCM execution

AB - The aim of this paper is to identify areas for improving the level of supply chain management (SCM) execution. A conceptual model was developed that proposes internal and joint SCM conditions and the adoption of SCM processes as the main antecedents of SCM execution. Based on a survey of 174 senior managers representing large organizations structural equation modeling was conducted followed by a three-step importance-performance analysis. The results show that internal SCM conditions, specifically information technology and human resources, are the major drivers for improving the total level of SCM execution

KW - Supply Chain Management

KW - Importance-Performance Analysis

U2 - 10.1016/j.ijpe.2011.03.002

DO - 10.1016/j.ijpe.2011.03.002

M3 - Journal article

SN - 0925-5273

VL - 140

SP - 713

EP - 720

JO - International Journal of Production Economics

JF - International Journal of Production Economics

IS - 2

ER -