Several different approaches have been used to undertake Importance-Performance Analysis (IPA), aka quadrant analysis or gap analysis. This study compares methods across 15 datasets and finds that the traditional 2x2 grid approach can be misleading. Using indirect (e.g. multiple regression) methods for determining importances may also be misleading. The most valid method of performing IPA is identified, and a method for confirming its validity is provided.
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References
1.
AntonJ.. (1996). Customer Relationship Management: Making Hard Decisions with Soft Numbers.Upper Saddle River, NJ: Prentice Hall.
2.
BeachL.R., & BurnsL.R. (1995) The service quality improvement strategy: identifying priorities for change.International Journal of Service Industry Management, 6 (5), pp. 5–15.
3.
CohenJ.. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd edn). New York: Academic Press.
4.
CooperW.H. (1981) Ubiquitous halo.Psychological Bulletin, 90 (September), pp. 218–244.
5.
DanaherP.J., & MattssonJ.. (1994) Customer satisfaction during the service delivery process.European Journal of Marketing, 28 (5), pp. 5–16.
6.
DanaherP.J. (1997) Using conjoint analysis to determine the relative importance of service attributes measured in customer satisfaction surveys.Journal of Retailing, 73 (2), pp. 235–260.
7.
DolinskyA.L. (1991) Considering the competition in strategy development: an extension of importance-performance analysis.Journal of Health Care Marketing, 11 (March), p. 31.
8.
FaraceV., & SwensonM.. (1998) Assessing customer requirements: the Kano method.Quirk's Marketing Research Review, October, pp. 56–61.
9.
FordJ.B., JosephM., & JosephB.. (1999) Importance-performance analysis as a strategic tool for service marketers: the case of service quality perceptions of business students in New Zealand and the USA.Journal of Services Marketing, 13 (2), pp. 171–186.
10.
GoF., & ZhangW.. (1997) Applying importance-performance analysis to Beijing as an international meeting destination.Journal of Travel Research, 35 (spring), pp. 42–49.
11.
GreenP.E., GoldbergS.M., & MontemayorM..(1981) A hybrid utility estimation model for conjoint analysis.Journal of Marketing, 45 (winter), pp. 33–41.
12.
HawesJ.M., & RaoC.P. (1985) Using importance-performance analysis to develop health care marketing strategies.Journal of Health Care Marketing, 5 (autumn), pp. 19–25.
13.
KarnesC.L., SridharanS.V., & KanetJ.J. (1995) Measuring quality from the consumer's perspective: a methodology and its application.International Journal of Production Economics, 39, pp. 215–225.
14.
Kirk-SmithM.. (1998) Psychological issues in questionnaire-based research.Journal of the Market Research Society, 40 (3), 223–236.
15.
LowensteinM.W. (1995). Customer Retention: An Integrated Process for Keeping Your Best Customers.Milwaukee: ASQC Quality Press.
16.
MartillaJ.A., & JamesJ.C. (1977) Importance-performance analysis.Journal of Marketing, 41 (January), pp. 77–79.
17.
MooreW.L. (1980) Levels of aggregation in conjoint analysis: an empirical comparison.Journal of Marketing Research, 17 (November), pp. 516–523.
18.
OrtinauD.J., BushA.J., BushR.P., & TwibleJ.L. (1989) The use of importance-performance analysis for improving the quality of marketing education: interpreting faculty-course evaluations.Journal of Marketing Education, 11 (summer), pp. 78–86.
19.
ParasuramanA., ZeithamlV.A., & BerryL.L. (1985) A conceptual model of service quality and its implications for future research.Journal of Marketing, 49 (autumn), pp. 41–50.
20.
ParasuramanA., ZeithamlV.A., & BerryL.L. (1988) SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality.Journal of Retailing, 64 (spring), pp. 12–40.
21.
PetersonR.A., & WilsonW.R. (1992) Measuring customer satisfaction: fact and artifact.Journal of the Academy of Marketing Science, 20 (winter), pp. 61–71.
22.
QuesterP.G., & RomaniukS.. (1997) Service quality in the Australian advertising industry: a methodological study.Journal of Services Marketing, 11 (3), pp. 180–192.
23.
SethnaB.N. (1982) Extensions and testing of importance-performance analysis.Business Economics, 20 (September), pp. 28–31.
24.
SlackN.. (1994) The importance-performance matrix as a determinant of improvement priority.International Journal of Operations and Production Management, 14 (5), pp. 59–75.
25.
StratmannW.C., ZastownyT.R., BayerL.R., AdamsE.H., BlackG.S., & FryP.A. (1994) Patient satisfaction surveys and multicollinearity.Quality Management in Health Care, 2 (2), pp. 1–12.
26.
TaylorS.A. (1997) Assessing regression-based importance weights for quality perceptions and satisfaction judgments in the presence of higher order and/or interaction effects.Journal of Retailing, 73 (1), pp. 135–159.
27.
ThomasG.B.Jr. (1972). Calculus and Analytic Geometry (Alternate Edition).Reading, MA: Addison-Wesley.
28.
WittinkD.R., & BayerL.R. (1994) The measurement imperative.Marketing Research, 6 (4), pp. 14–22.
