Does process improvement lead to supplier performance? An empirical examination

Weiyong Zhang, Xiaobo Xu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

This research develops a causal-predictive model for predicting the supplier performance due to buyer-initiated supplier process improvement (SPI). SPI is one type of supply chain collaboration that focuses on process improvement. It is a common practice in supply chains that are driven by a powerful buyer firm. Drawing upon the supply chain management and process improvement literature, we relate SPI to supplier performance via a supplier's internal process improvement effort. SPI is operationalized as an index with formative indicators, which is appropriate for prediction studies. The model is then evaluated using the partial least squares structural equation modeling method, with empirical data collected from 53 supplier plants of a Fortune 500 firm. The results strongly supported the proposed causal-predictive model. Insights from this study can shed light on further theoretical development on supply chain process improvement, as well as can provide guidance for practicing managers.

Original languageEnglish
Title of host publicationPacific Asia Conference on Information Systems, PACIS 2016 - Proceedings
PublisherPacific Asia Conference on Information Systems
ISBN (Electronic)9789860491029
Publication statusPublished - 2016
Externally publishedYes
Event20th Pacific Asia Conference on Information Systems, PACIS 2016 - Chiayi, Taiwan, Province of China
Duration: 27 Jun 20161 Jul 2016

Publication series

NamePacific Asia Conference on Information Systems, PACIS 2016 - Proceedings

Conference

Conference20th Pacific Asia Conference on Information Systems, PACIS 2016
Country/TerritoryTaiwan, Province of China
CityChiayi
Period27/06/161/07/16

Keywords

  • Formative indicators
  • Partial least squares
  • Supplier process improvement
  • Supply chain process improvement
  • Survey methods

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