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ERP systems' capabilities for supply chain performance management
Linnaeus University, Faculty of Business, Economics and Design, Linnaeus School of Business and Economics. (Supply Chain Studies)ORCID iD: 0000-0003-4255-1516
2010 (English)In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 110, no 3, 351-367 p.Article in journal (Refereed) Published
Abstract [en]

Purpose – The first purpose of this paper is to describe the demands from supply chain performance management (PM) on enterprise resource planning (ERP) systems. The second purpose is to evaluate the corresponding capabilities of common ERP systems.

Design/methodology/approach – The first purpose is handled conceptually: by a literature review, a framework for the demand on ERP systems from supply chain PM is developed. The second purpose is handled with an empirical study, based on the framework. Respondents for 12 common ERP systems on the Swedish market are interviewed.

Findings – A framework for the demand on ERP systems from supply chain PM is developed containing ten demands: a theoretical contribution. The studied ERP systems are found overall to have good supply chain PM capabilities, where the most supporting systems in this sense are Oracle and iScala.

Research limitations/implications – The findings imply that future research on supply chain PM could focus less on ERP systems’ capabilities and more on how ERP systems are applied.

Practical implications – The findings can give two types of input to companies purchasing or upgrading ERP systems; a “checklist” of demands from supply chain PM to consider and an evaluation of the corresponding capabilities for common ERP systems.

Originality/value – Even though investments in ERP systems represent significant costs for companies, few studies in the area of ERP systems and supply chain PM are identified.

Place, publisher, year, edition, pages
2010. Vol. 110, no 3, 351-367 p.
Keyword [en]
Manufacturing resource planning, Performance management, Supply chain management
National Category
Business Administration
Research subject
Economy, Logistics
Identifiers
URN: urn:nbn:se:lnu:diva-8592DOI: 10.1108/02635571011030024OAI: oai:DiVA.org:lnu-8592DiVA: diva2:352704
Available from: 2010-09-22 Created: 2010-09-22 Last updated: 2016-09-23Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf