The “importance-performance analysis” technique is widely applied in general marketing and more recently in hospitality and tourism research. Using automobile dealer data, Martilla and James (1977) found customer satisfaction to be a function of both expectations related to salient attributes and judgments of the actual performance of such attributes. They argued that a partial approach that measures only the performance aspect leaves a problem in translating the results of research into marketing action. In response to that challenge, they devised a straightforward analysis solution, now known by its present name.
The importance-performance analysis matrix consists of four quadrants along two axes, one for measuring perceived importance of each attribute and the other for performance evaluation. The vertical (importance) and horizontal (performance) axes call for calculation of the mean value of all attributes. The cross-hair points can be based on either the data rating or scale mean...
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References
Azzopardi, E., and R. Nash 2013 A Critical Evaluation of Importance–performance Analysis. Tourism Management 35:222-233.
Martilla, J., and J. James 1977 Importance–performance Analysis. Journal of Marketing 41:77-79.
Matzler, K., E. Sauerwein, and K. Heischmidt 2003 Importance–performance Analysis Revisited. The Service Industries Journal 23:112-129.
Oh, H. 2001 Revisiting Importance–performance Analysis. Tourism Management 22:617-627.
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O’Leary, J.T., Lee, G. (2016). Importance-performance analysis. In: Jafari, J., Xiao, H. (eds) Encyclopedia of Tourism. Springer, Cham. https://doi.org/10.1007/978-3-319-01384-8_371
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