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面向个人用户的云服务采纳行为研究述评 被引量:4

A Review of Individual Users Oriented Research on Adoption Behavior of Cloud Services
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摘要 文章通过对国内外文献进行收集和内容分析,采用归纳总结、比较分析等方法深入揭示了个人云服务已有研究中的理论模型和影响因素。总结出已有研究者构建个人云服务采纳行为模型的特征,表现为组合式、扩展式和整合式;影响因素的选取按属性不同可分为个体因素、技术因素、社会因素、质量因素和经济因素,按作用方向分为促进因素和阻碍因素,按作用原理有直接因素、间接因素和两栖因素。最后,提出未来研究的建议:建立适合国内个人云服务实践现状的用户采纳行为模型,考虑对创新抵制行为的研究,探索时间延续视角的用户行为转变机理,纳入对经济因素的影响分析。 Through literature collection at home and abroad and content analysis, the paper reveals deeply the theory model and the influence factors of the existing personal cloud service research by the methods of summarization, com- parative analysis and others. The paper finds that the characteristic that existing researchers construct personal cloud service adoption behavior model includes the combination, extension and integration model. According to the attri- butes, the factors are divided into individual characteristic factors, technical characteristics factors, social characteris- tics factors, quality characteristics factors as well as economic factors. According to the direction, the influencing fac- tors are divided into impetus and hindering factors. According to the principle, the influencing factors are distributed in- to direct and indirect factors and a combination of the two. A future research proposal is brought forward, we should construct the users adoption model in terms of the domestic current practical status of personal cloud service, consider the research of innovation resistance, explore user behavior transformation mechanism as the time continues, incorpo- rate economic factors in the analysis of the influence.
作者 程慧平 王建亚 Cheng Huiping;Wang Jianya(School of Economics and Management, Hubei University of Technology, Wuhan, 430068;School of Business, Tianjin University of Finance Economics, Tianjin, 300222)
出处 《情报资料工作》 CSSCI 北大核心 2017年第6期68-73,共6页 Information and Documentation Services
基金 国家自然科学基金项目"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"(编号:71603075)的研究成果
关键词 个人云服务 采纳行为 云服务 信息技术采纳 personal cloud service, adoption behavior, cloud service, information technology adoption
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