An empirical application of quantitative derived importance-performance Analysis (QDIPA) for employee satisfaction

Daniel J. Mount

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Importance-performance analysis (IPA) is a common analytical tool that has been used in a variety of applications. The method has been criticized for a number of reasons. Suggested alternative methods utilize the concept of derived importance (Oliver, 1997; Mount, 1997) and a quantitative interpretation of the traditionally visual results (Mount, 2000). This study illustrates how a method using both of the suggested alternatives is utilized to analyze employee satisfaction issues in a hotel.

Original languageEnglish (US)
Pages (from-to)65-76
Number of pages12
JournalJournal of Quality Assurance in Hospitality and Tourism
Volume6
Issue number1-2
DOIs
StatePublished - Oct 11 2005

All Science Journal Classification (ASJC) codes

  • Tourism, Leisure and Hospitality Management

Fingerprint

Dive into the research topics of 'An empirical application of quantitative derived importance-performance Analysis (QDIPA) for employee satisfaction'. Together they form a unique fingerprint.

Cite this