4.7 Article

Performance evaluation of purchasing and supply management using value chain DEA approach

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 207, Issue 1, Pages 197-205

Publisher

ELSEVIER
DOI: 10.1016/j.ejor.2010.04.023

Keywords

Data envelopment analysis; Purchasing and supply management; Performance drivers; Performance outcomes; Performance evaluation

Funding

  1. EADS-SMI Endowed Chair for Sourcing and Supply Management, IIM Bangalore

Ask authors/readers for more resources

Purchasing and Supply Management (PSM) today is increasingly becoming more important to senior management due to its potential to strategically influence both operational performance as well as financial performance outcomes. However the cross-functional nature of many PSM activities has led to inadequate data collection and performance measurement resulting in weak performance evaluation methodologies and mixed results. We address this gap in the current study, firstly by using an external assessment survey methodology that complements the internal perceptional measures of PSM performance, to collect data for a sample of over 120 firms across the globe with more than 3 billion US dollar turnover, representing seven industry sectors. Next, we develop a comprehensive performance measurement framework using the classical and two-stage Value Chain Data Envelopment Analysis models, which make use of multiple PSM measures at various stages and provide a single efficiency measure that estimates the all-round performance of a PSM function and its contribution to the long term corporate performance in each of these seven industry sectors. The relevance of this measurement methodology is demonstrated through an in-depth analysis of the distribution of efficiencies within and across industry sectors and through the estimation of target PSM performance levels. (C) 2010 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available