【作者】 李楠；

【导师】 闫长乐；

【作者基本信息】 北京邮电大学 ， 工商管理， 2021， 硕士

【摘要】 随着云计算、大数据等技术在环境领域的应用,应运而生的环境大数据平台是互联网时代各主体参与环境治理的一种新途径。然而,目前国内的环境大数据平台的服务目标主要以政府和企业为主,缺少公众参与功能方面的构建,而公众作为环境治理最基本的主体,无法通过此类环境大数据平台获取自己所需的环境信息,不能参与到具体的环境治理途径中去,不符合生态环境多元共治的具体要求。因此,本研究以用户需求理论和信息服务理论为指导,主要专注于以公众需求为导向的环境大数据平台服务供给的研究。首先,结合产品功能和用户需求确定20项Kano要素,分别运用传统Kano模型、混合类分析法以及基于用户满意度的指数分析法,对所收回的307份有效问卷进行实证调查,并绘制四象限散点图,分别将其归类为必备属性、期望属性、魅力属性和无差异属性,排除属于无差异属性的需求项,最终得到受用户重视的12项需求,并以此作为优化环境大数据平台公众服务供给的主要研究要素;然后,对目前国内主要面向公众的环境大数据平台服务供给现状进行对比分析,发现问题并提出优化对策;最后总结本研究结论,提出研究展望。本文主要的创新点:一是在内容上,以用户需求为研究视角为环境大数据平台公众服务供给提出优化改进方向;二是在方法上,将Kano模型运用于环境大数据平台的实证研究,希望能为环境大数据平台的未来发展作出理论贡献。更多还原

【Abstract】 With the application of cloud computing and big data technology in the environment,the environment big data platform emerged as the times require is a new way for all subjects to participate in environmental governance in the Internet era.However,the service objectives of domestic big data platform are mainly government and enterprises,and lack of public participation function.As the most basic subject of environmental governance,the public cannot obtain the environmental information required by such big data platform and participate in specific environmental governance channels,It does not meet the specific requirements of multi governance of ecological environment.Therefore,this research is guided by the theory of user demand and information service,and focuses on the research of the service supply of environmental big data platform oriented by public demand.Firstly,20 Kano elements are determined according to product function and user demand.The 307 effective questionnaires collected are investigated by using traditional Kano model,mixed type analysis method and index analysis method based on user satisfaction.Then,four quadrant scatter map is drawn,which is classified as essential attribute,expectation attribute,charm attribute and no difference attribute,The demand items which belong to the non difference attribute are excluded,and finally 12 requirements that are valued by users are finally obtained,and it is regarded as the main research element to optimize the public service supply of big data platform;Then,the paper compares and analyzes the current situation of the domestic environmental big data platform service supply,finds out the problems and puts forward the optimization countermeasures;Finally,the conclusion of this study is summarized and the research prospect is put forward.The main innovation points of this paper are as follows:first,in the content,the paper puts forward the optimization and improvement direction for the public service supply of big data platform from the perspective of user demand;Secondly,in the method,Kano model is applied to the empirical research of environmental big data platform,hoping to make theoretical contribution to the future development of environmental big data platform.更多还原