Made in China: ERP post-implementation performance in the Chinese manufacturing industry

Chadi Aoun*, Savanid Vatanasakdakul, Chen Yu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

To gain competitive advantages in the global market, many Chinese manufacturing firms have invested heavily in implementing Enterprise Resource Planning (ERP) systems. Evidence shows however that ERP post-implementation performance has varied significantly between firms. This paper aims to investigate such variances in performance in the Chinese manufacturing context, particularly at a plant level. A model developed by Gattiker and Goodhue (2005) has been adapted and extended for our investigation incorporating a survey instrument. Data were collected from 59 Chinese manufacturing firms. The data collected were analyzed using Structural Equation Modeling in association with Partial Least Squares technique. The results shows that the level of interdependence, differentiation between plants, time elapsed since the systems have gone live, high context communication in the Chinese culture, and personal relationship (Guanxi) have significance impact on ERP post-implementation performance.

Original languageEnglish
Title of host publication15th Americas Conference on Information Systems 2009, AMCIS 2009
EditorsKen Kendall, Upkar Varshney
Place of PublicationSan Francisco, CA
PublisherAmericas Conference on Information Systems
Pages4717-4726
Number of pages10
Volume7
ISBN (Print)9781615675814
Publication statusPublished - 2009
Event15th Americas Conference on Information Systems 2009, AMCIS 2009 - San Francisco, CA, United States
Duration: 6 Aug 20099 Aug 2009

Other

Other15th Americas Conference on Information Systems 2009, AMCIS 2009
CountryUnited States
CitySan Francisco, CA
Period6/08/099/08/09

Keywords

  • China
  • Culture
  • ERP
  • Manufacturing
  • Plant-Level Analysis
  • Post-Implementation Performance

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