An IS quality measurement using gap and multicriteria decision-making model: A case study for supply chain management system

Che Wei Chang, Der Juinn Horng, Hung Lung Lin

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study proposes a novel method for controlling and measuring supply chain management software quality. The expert decision-making algorithm-based method offers an evaluation method that can provide information system (IS) industry decision makers or administrators with a valuable reference for evaluating the IS quality between the end user and developer. Importantly, the proposed model can provide a reference material for decision makers or administrators, making it highly applicable for academic and management purposes.

Original languageEnglish
Pages (from-to)181-188
Number of pages8
JournalJournal of Testing and Evaluation
Volume37
Issue number2
StatePublished - Mar 2009

Keywords

  • Multicriteria decision-making (MCDM)
  • Perceived and expected gap
  • Software quality
  • Supply chain management system
  • System measurement
  • Technique for ordering preferences by similarity to the ideal solution (TOPSIS)

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