神经信息系统研究:定位、方法和展望
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  • 英文篇名:A Review of Research on Neuroscience Information Systems:Orientation,Methods,and Prospect
  • 作者:徐青 ; 费梦琪 ; 吴宏丽 ; 谭惠中 ; 姜心怡 ; 王求真
  • 英文作者:Xu Qing;Fei Mengqi;Wu Hongli;Tan Huizhong;Jiang Xinyi;Wang Qiuzhen;School of Management, Zhejiang University;
  • 关键词:神经信息系统 ; 学科定位 ; 研究工具 ; 综述
  • 英文关键词:neuroscience information systems(NeuroIS);;disciplinary orientation;;research tools;;literature review
  • 中文刊名:KJGL
  • 英文刊名:Science and Technology Management Research
  • 机构:浙江大学管理学院;
  • 出版日期:2019-07-10
  • 出版单位:科技管理研究
  • 年:2019
  • 期:v.39;No.431
  • 基金:国家自然科学基金青年科学基金项目“在线反馈系统影响消费者网购决策的行为规律和认知神经机理研究”(71202157);; 教育部人文社会科学研究项目“基于多方法融合的消费者网购决策的行为规律和认知机理研究”(12YJC630251);; 浙江省自然科学基金青年科学基金项目“消费者网购意愿的形成规律和认知机理研究”(LQ12G02012)
  • 语种:中文;
  • 页:KJGL201913026
  • 页数:7
  • CN:13
  • ISSN:44-1223/G3
  • 分类号:194-200
摘要
近些年,认知神经科学的研究方法有效弥补了传统信息系统(IS)研究存在的不足,降低了传统研究自我报告方法的测量误差,客观并准确地测量用户决策的心理加工过程,推进了信息系统科学研究的发展。通过介绍信息系统研究领域的国际前沿——神经信息系统研究(NeuroIS),力图帮助IS研究者更好地了解NeuroIS国内外研究现状,洞察进入NeuroIS这一前沿领域所需的相关知识和技术基础。通过收集并阅读NeuroIS自提出以来至今的文献,回顾并总结其发展历程、学科定位、常用研究工具和研究问题,论述NeuroIS研究应该明确的定位和工具选择的方法,并对现有文献的研究主题进行梳理,最后提出NeuroIS未来研究的实用性建议。
        Research methods of cognitive neuroscience make up the shortcomings of the traditional information systems(IS) research, reduce the measurement error of self-report, accurately reveal the psychological process of user's decision making, and have promoted the development of scientific research on information systems. This paper intends to introduce neuroscience information systems(NeuroIS) research which is the international frontier of information systems research, help IS scholars better understand research status of NeuroIS and get insight into the related necessary knowledge and technical basis of the NeuroIS frontier research areas. We review and summarize the development phases, disciplinary orientation, common research tools and research questions of NeuroIS by collecting and looking through related literature after the proposal of NeuroIS. We point out the specified orientation and ways to choose proper methods of NeuroIS research, classify the research topics of existing literatures and put forward some practical suggestions for future research.
引文
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