企业SaaS云服务采纳决策:基于文本挖掘的多元验证视角  

Enterprises' Adoption Decisions of SaaS Cloud Service Based on Triangulation Perspective of Text Mining

作　　者：杨朝君[1] 胡洋[1] 邹承元 

机构地区：[1]西安电子科技大学经济与管理学院,西安710126

出　　处：《世界科技研究与发展》2016年第5期1107-1112,共6页World Sci-Tech R&D

基　　金：中央高校基本科研业务专项资金(JB160608)资助

摘　　要：基于文本分析,采用文本挖掘和统计分析相结合的多元验证的研究方法,对企业案例文本中的关键词进行词频统计来分析企业采纳SaaS(软件即服务)云服务的影响因素,并利用Logistic回归和基于C5.0算法的分类树两种不同的方法,研究企业在不同影响因素下的SaaS云服务采纳决策。研究结果显示:SaaS的易用性、观察性,SaaS供应商的服务质量以及实施企业受到的合作压力和竞争压力都显著影响SaaS云服务的采纳,并且当主导影响因素不同时,企业对SaaS云服务采纳所做的决策也是不同的。此外,与传统非SaaS软件模式相比,SaaS云服务在实施效果上的差异主要体现在成本效果上。Based on text analysis,the methods of triangulation combining text mining and statistical analysis are used to analyze the factors that enterprises to adopt SaaS cloud service by the key word frequency statistics in the text. And the SaaS cloud service adoption decisions of enterprises in different factors are studied through the two different methods of Logistic regression and classification trees based on algorithm C5. 0. The results show that the adoption of SaaS cloud service is significantly affected by usability and observational of SaaS,service quality of SaaS vendor,the cooperation and competitive pressures to enterprises. The SaaS cloud service adoption decisions are different with different leading factors. In addition,compared with traditional non-SaaS software model,the difference in implementation effect is mainly reflected on the cost-effectiveness.

关 键 词：云服务 软件即服务 采纳 Logistic回归 分类树 

分 类 号：F270.7[经济管理—企业管理]