Quantifying uncertainty in applying importance-performance analysis

Hsin-Hung Wu, Jiunn I. Shieh

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


In a traditional importance-performance analysis (IPA), the information of uncertainty for importance and performance does not normally take into account from the survey but does commonly exist in practice. To further consider the uncertainty for each item from the survey results, the IPA under uncertainty method is proposed in this study. The traditional IPA possesses the ease of calculation and can be further viewed as a special case of the proposed IPA under uncertainty method, which is more complicated for computation but provides much more information for a decision maker to judge the strengths and weaknesses effectively by considering sampling, instrument effects, measurement conditions, sample effects, computational effects, random effects, etc. Finally, a brief case is illustrated to show how the proposed IPA under uncertainty method works and what the differences are between the traditional IPA and proposed methods.

Original languageEnglish
Pages (from-to)997-1003
Number of pages7
JournalQuality and Quantity
Issue number5
Publication statusPublished - 2010 Jan 1

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Social Sciences(all)

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