Author List: Kettinger, William J.; Lee, Choong C.;
MIS Quarterly, 1997, Volume 21, Issue 2, Page 223-240.
In this research note, we join the debate between Van Dyke, Kappelman, and Prybutok and Pitt, Watson, and Kavan pertaining to the conceptual and empirical relevance of SERVQUAL as a measure of IS service quality. Adopting arguments from marketing, Van Dyke et al. (1997) question the SERVQUAL gap measurement approach, the interpretation and operationalization of the SERVQUAL expectation construct, and the reliability and validity of SERVQUAL dimensionality. In a response to those arguments, Pitt et al. (1997) defend their previous work (1995) in a point-by-point counterargument that suggests that the marginal empirical benefit of a perceptual-based (SERVPERF) service quality measure does not justify the loss of managerial diagnostic capabilities found in a gap measure. While siding with many of the positions taken by Pitt et al. (1997), we attempt to add value to the debate by presenting discrepancies we have with the two other research teams and by suggesting alternative approaches to resolve, or at least alleviate, problems associated with SERVQUAL. We believe that the theoretical superiority of an alternative IS service quality measure should be backed by empirical evidence in the IS context, hence answering some of the criticism by Van Dyke at al. and offering a construct valid version of the IS-adapted SERVQUAL. From a pragmatic view-point, we believe that the justification of using SERVQUAL'S gap measure should be driven by more effective ways to utilize expectations in IS service management. To this end, we introduce the newer Parasuraman at al. (1994b) measures, the concept of a "zone of tolerance" for expectation management and an illustration of its practical use in an IS setting. Overall, we attempt to set the direction of where we think this debate should lead the IS field, namely, toward practical and timely IS service quality measures.
Keywords: evaluation; IS management; IS service quality; measurement; SERVQUALI SERVPEPF; user expectations
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#115 0.226 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#263 0.202 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#17 0.176 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#21 0.090 research information systems science field discipline researchers principles practice core methods area reference relevance conclude set focus propose perspective inquiry
#136 0.075 expectations expectation music disconfirmation sales analysis vector experiences modeling response polynomial surface discuss panel new nonlinear period understand paper dissonance
#34 0.055 negotiation negotiations using potential power agreement paper bases partners ending negotiators offers visualization messaging instant audio e-marketplaces provide positions agents