感知服务质量的测量:一种联合分析方法

W. DeSarbo, Lenard Huff, Marcelo M. Rolandelli, Jungwhan Choi
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引用次数: 91

摘要

Parasuraman。Zeithaml和Berry(1988)提出使用22项SERVQUAL工具来测量感知服务质量。自其重要工作以来,几位作者对在实际环境中使用这一工具提出了批评,认为维度的数量和类型可能因服务类别而异,在不同服务类别中试图使用相同的措辞以及在处理提供多种服务功能的服务(例如医院)时存在问题。对感知和期望之间的差异得分的分析提出了关于这种量表的心理测量属性的问题,SERVQUAL工具混淆了服务满意度和服务质量的测量。我们提出了一种基于联合分析的测量感知服务质量的替代测量方案,该方案可以很容易地通过期望确认/不确认响应修改为任何服务类别。所建议的程序的优点是,首先,我们测量真实的感知,而不是与期望和满意度混淆的感知;第二,特定维度的数量、类型和可操作性(相对于措辞)根据特定的使用场景是完全灵活的;第三,可以利用正交设计和简单的OLS以有效的方式进行估计;最后,提出的模型可以产生有趣的质量优化模型以及探索分割的模型。提出的方法以银行和牙科诊所的服务质量观念为例。最后讨论了今后的研究方向。
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On the Measurement of Perceived Service Quality: A Conjoint Analysis Approach
Parasuraman. Zeithaml, and Berry (1988) have proposed the use of a 22-item SERVQUAL instrument for the measurement of perceived service quality. Since their important work, several authors have criticized the use of this instrument in applied settings suggesting that the number and type of dimensions may vary by service category, that there are problems in attempting to use the same wording, across different service categories and in dealing with services that provide multiple service functions (e.g., hospitals), that the analysis of difference scores between perceptions and expectations raises questions about the psycho­metric properties of such a scale, and that the SERVQUAL instrument confounds the measurement of service satisfaction with service quality. We present an alternative measurement scheme for the measurement of perceived service quality, based on conjoint analysis, that can be easily modified to any service category by expectancy confirmation/disconfirmation response. The advantages of the proposed procedure are, first, that we measure true perceptions, as opposed to perceptions confounded with expectations and satisfaction; second, that the number, type, and operationalization of the specific dimensions (vis-a-vis the wording) are completely flexible according to the specific usage scenario; third, that estimation can be performed in an efficient manner utilizing orthogonal designs and simple OLS; and last, that the proposed model can lead to interesting quality optimization models as welt as models"that explore segmentation. The proposed methodology is illustrated with service quality perceptions of banks and dental offices. We conclude by discussing directions for future research.
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