1989
DOI: 10.1177/027347538901100213
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The Use of Importance-Performance Analysis for Improving the Quality of Marketing Education: Interpreting Faculty-Course Evaluations

Abstract: The article focuses on demonstrating how importance-performance analysis can serve as an easily applied technique for reducing the difficulties in translating faculty-course performance results into meaningful actions. A specific faculty-course evaluation example which uses an extended version of the technique is offered. Important insights are presented regarding the modified technique's impact on making strategic quality improvement1 decisions for marketing education.

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Cited by 51 publications
(27 citation statements)
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“…The four quadrants in the grid can provide in-depth information on each of the attributes tested. According to Ortinau et al (1989), each of the quadrants can be described as follows:…”
Section: Service Quality Using Importance-performance Measurementmentioning
confidence: 99%
“…The four quadrants in the grid can provide in-depth information on each of the attributes tested. According to Ortinau et al (1989), each of the quadrants can be described as follows:…”
Section: Service Quality Using Importance-performance Measurementmentioning
confidence: 99%
“…The central distribution for importance and performance are calculated (means or median) and the score is used to calculate the axis for a two-dimensional matrix called an action grid (Siniscalchi, Beale, & Fortuna, 2008). Figure 1 depicts what Ortinau, Bush, Bush, and Twible (1989) have defined for each quadrant: Data in the upper right quadrant (high importance/high performance) is "keep up the good work"; data landing in the upper and lower left quadrants (low importance/high performance and low importance/low performance) suggests overkill or low priority. Data landing in the lower right quadrant (high importance/low performance) indicates importance outweighs the ability.…”
Section: Student Perceptions and Ipamentioning
confidence: 99%
“…Since the seminal work by Martilla and James (1977), the IPA framework has gained popularity among researchers in the hotel industry (Almanza, Jaffe, & Lin, 1994;Beldona & Cobanoglu, 2007;Chu & Choi, 2000;Hemmasi, Strong, & Taylor, 1994;Lewis, 1985;Martin, 1995), in tourism (Chon, Weaver, & Kim, 1991;Duke & Persia, 1996;Evans & Chon, 1989;Uysal et al, 1991;Wade & Eagles, 2003), the restaurant business (Hsu, Byun, & Yang, 1997;Keyt, Yavas, & Riecken, 1994), leisure and recreation (Fletcher, Kaiser, & Groger, 1992;Guadagnolo, 1985), education (Alberty & Mihalik, 1989;Kitcharoen, 2004;Ortinau, Bush, Bush, & Twible, 1989) and healthcare marketing (Dolinsky & Caputo, 1991;Hawes & Rao, 1985). Chu and Choi (2000) compared the importance and performance of 26 hotel attributes as perceived by business and leisure travellers in Hong Kong.…”
Section: Importance-performance Analysismentioning
confidence: 99%