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100 1 _aCHATTERJEE, Sudipta
_924584
245 1 0 _aPrioritization of Service Quality Parameters Based on Ordinal Responses
260 _aUK :
_bRoutledge,
_cJune 2005
520 3 _aThe importance attributed to service sector industries has become more pronounced in the post-globalization era and the trend continues unabated even today. In such industries, direct assessment of the service quality is often not possible and the measurement has to be made in terms of suitable surrogates through various parameters related to delivery, support, cost, billing, access, speed, response to queries, complaint redressal and so on. The SERVQUAL models and their extensions (Parasuraman et al., 1985, 1988, 1994a, 1994b; Zeithamal et al., 1993) have delved into the various facets of measuring service quality and the factors that influence the customer expectations and their perceptions. However, a concrete quantification of the ‘service gaps’ used in such models, is seldom found in the literature. As such, it is very much necessary to quantify the ‘service gaps’ and also to quantify the expectation of the service parameters as perceived by the customers. In the present paper, a prioritization methodology of the service quality parameters has been proposed for a service sector industry based on surveys carried out on both the internal, as well as, external consumers. The responses of the surveys are Ordered Categorical in nature. As such, the conventional statistical techniques based on continuous responses are not suitable or justified. Moreover, it appears that the use of ‘difference scores’ in SERVQUAL or similar instruments, contributes to problems with the reliability, discriminant validity, convergent validity and predictive validity of the measure (Van Dyke et al., 1999). The idea of a gap without constructing difference scores may be conceived by the RIDIT scores, which is a well known technique in Categorical Data Analysis (Bross, 1958; Fleiss, 1973, 1999; Agresti, 1984). The proposed methodology is expected to encompass any service sector industry with well-defined service quality parameters and can be used as an alternative approach to the SERVQUAL instrument.
650 4 _aService priority
_924585
650 4 _aSERVQUAL model
_924586
650 4 _aOrdered categorical data
_924587
650 4 _aRIDIT analysis
_924588
650 4 _aPareto analysis
_920072
650 4 _aMultivariate regression
_924589
650 4 _aRank correlation
_924590
700 1 _aCHATTERJEE, Aditya
_924591
773 0 8 _tTotal Quality Management & Business Excellence
_g16, 4, p. 477 - 489
_dUK : Routledge, June 2005
_xISSN 1478-3363
_w
942 _cS
998 _a20060417
_b1221^b
_cNatália
998 _a20081212
_b1047^b
_cZailton
999 _aConvertido do Formato PHL
_bPHL2MARC21 1.1
_c15594
_d15594
041 _aeng