基于IPA和因子分析法的个人云服务评价研究

发布时间：2018-06-16 05:30

本文选题：个人云服务质量 + 服务质量评价　；参考：《现代情报》2017年10期

【摘要】：[目的/意义]云服务产业蓬勃发展,个人用户接触到的云服务产品也越来越多,而在使用过程中,由于技术和服务等多方面的因素,导致个人云服务用户粘度不足,个人云服务质量急需改进。从用户的视角探讨个人云服务质量,对个人云服务质量的评价提供科学依据。[方法/过程]采用多维度多层次方法构建了个人云服务质量评价指标体系,引入IPA分析法对该指标体系进一步分类,利用SPSS 190进行探索性因子分析,并绘制出IPA矩阵图,进一步划分出横向重要性与纵向满意度的指标。[结果/结论]构建了基于IPA矩阵分析的个人云服务质量评价指标体系,横向重要性指标体系由管理层、用户层和技术层3个维度构成,纵向满意度指标体系由保障层和提升层两个维度构成。
[Abstract]:[purpose / significance] the cloud service industry is booming, and more cloud service products are being contacted by individual users. In the process of use, due to various factors such as technology and service, the viscosity of individual cloud service users is insufficient. The quality of personal cloud service needs to be improved. This paper discusses the quality of individual cloud service from the perspective of user, and provides scientific basis for evaluation of individual cloud service quality. [method / process] the evaluation index system of personal cloud service quality was constructed by using multi-dimension and multi-level method. IPA analysis method was introduced to classify the index system further, and SPSS190 was used to carry out exploratory factor analysis and draw the IPA matrix map. Further divide the index of horizontal importance and longitudinal satisfaction. [results / conclusion] the evaluation index system of personal cloud service quality based on IPA matrix analysis is constructed. The horizontal importance index system is composed of three dimensions: management level, user level and technical level. The index system of longitudinal satisfaction is composed of two dimensions: safeguard layer and promotion level.
【作者单位】：湖北工业大学经济与管理学院;昆明理工大学管理与经济学院;
【基金】：国家自然科学基金青年项目“面向个人用户的云存储服务使用行为机理及安全风险控制研究”(项目编号:71603075)
【分类号】：TP393.09

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