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Service quality, customer satisfaction, and behavioral intentions in the service factory(in The Journal of Services Marketing, Vol. 20, No. 1)
Bibliografi
Author:
Olorunniwo, Festus
;
Hsu, Maxwell K.
;
Udo, Godwin J.
Topik:
Customer Services Quality
;
Customer Satisfaction
;
Consumer Behaviour
;
Factor Analysis
;
Service Levels
Bahasa:
(EN )
Penerbit:
Emerald Group Publishing Limited
Tempat Terbit:
United Kingdom
Tahun Terbit:
2006
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
Service_quality,[1].pdf
(322.01KB;
54 download
)
Abstract
Purpose – This study seeks to investigate, through the development of an operationalized service quality construct in the context of a service factory,
whether the typology to which a service belongs may explain the nature of the service quality (SQ) construct and its relationship to customer
satisfaction (SAT) and behavioral intentions (BI).
Design/methodology/approach – An exploratory factor analysis used a sample from undergraduate student respondents. Then, a more
representative sample of hotel guests was used, in a second-order confirmatory factor analysis.
Findings – The dominant dimensions of SQ construct in the service factory were found to be: Tangibles, Recovery, Responsiveness, and Knowledge.
Further results indicate that, although the direct effect of SQ on BI is significant, the indirect effect (with SAT playing a mediating role) is a stronger
driver for BI in the context of the service factory.
Research limitations/implications – A notable limitation is that the present study focuses only on the service factory and uses only one industry
(lodging) to illustrate the findings. Future research should examine other service categories.
Practical implications – Service managers are recommended to devise operations and marketing strategies that focus on the dominant SQ
dimensions in order to enhance SAT and, in turn, foster positive BI.
Originality/value – This study demonstrates that SQ, SAT and BI and their interrelationships may be typology-specific. If this is true, two or more
industries (e.g. airlines and lodging) may exhibit similar relationship characteristics with regard to these constructs if they belong to the same service
category. This knowledge is useful for benchmarking best practices among such industries.
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