A measure of perceived performance to assess resource allocation

Josep M. Sayeras, Núria Agell, Xari Rovira, Mónica Sánchez, John A. Dawson

Research output: Indexed journal article Articlepeer-review

4 Citations (Scopus)


Performance measurement is a key issue when a company is designing new strategies to improve resource allocation. This paper offers a new methodology inspired by classic importance–performance analysis (IPA) that provides a global index of importance versus performance for firms. This index compares two rankings of the same set of features regarding importance and performance, taking into account underperforming features. The marginal contribution of each feature to the proposed global index defines a set of iso-curves that represents an improvement in the IPA diagram. The defined index, together with the new version of the diagram, will enable the assessment of a firm’s overall performance and, therefore, enhance decision making in the allocation of resources. The proposed methodology has been applied to a Taiwanese multi-format retailer and managerial perceptions of performance and importance are compared to assess the firm’s overall performance.

Original languageEnglish
Pages (from-to)3201-3214
Number of pages14
JournalSoft Computing
Issue number8
Publication statusPublished - 1 Aug 2016
Externally publishedYes


  • Fuzzy operator
  • Performance evaluation
  • Reasoning under uncertainty
  • Similarity index


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