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Defining service quality index preferences in a service industry using Analytic Hierarchy process

机译:使用层次分析法定义服务行业中的服务质量指数偏好

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The balance between customer expectations and company's commitment to customer service is important for business success. Service industries increasingly encounter many intangible factors alongside the tangible objects. Intangible factors such as innovative ideas, new service attributes, learning principles and self-service technologies have great impacts on business success and customer satisfaction. However, these attributes are versatile, associated with service personnel action, customer relation, service practices, self-service technologies, service information and relationship with trade partners. Therefore, evaluation of these attributes to prioritize service effort and resource allocation to improve the service performance is believed to be a Multi Criteria Decision Making problem which has grown significantly in past decades. Researchers have proposed several effective ways to quantify service quality attributes assigning relative weights to important quality attributes that the service industry offers to retail customers, trade partners and business outlet. In the present study the Analytic Hierarchy Process is adopted to establish a local and global hierarchical priorities among different categories of service quality attributes. Ranking the attributes drives a service quality index between and within two hierarchical levels. An empirical illustration provides various managerial and resource allocation implications to improve service quality responsive action.
机译:客户期望与公司对客户服务的承诺之间的平衡对于业务成功至关重要。服务行业与有形对象一起越来越多地遇到许多无形因素。创新观念,新服务属性,学习原则和自助服务技术等无形因素对业务成功和客户满意度有很大影响。但是,这些属性是通用的,与服务人员的行为,客户关系,服务实践,自助服务技术,服务信息以及与贸易伙伴的关系相关。因此,对这些属性进行评估以优先考虑服务工作和资源分配以改善服务性能被认为是一个多准则决策问题,该问题在过去的几十年中已显着增长。研究人员提出了几种有效的方法来量化服务质量属性,为服务行业提供给零售客户,贸易伙伴和营业网点的重要质量属性分配相对权重。在本研究中,采用层次分析法在服务质量属性的不同类别之间建立局部和全局层次优先级。对属性进行排名将在两个层次级别之间以及之内驱动服务质量指数。一个实证说明提供了各种管理和资源分配的含义,以改善服务质量响应动作。

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