摘要
自2007年神经信息系统学被正式提出以来,认知神经科学在信息系统领域的应用受到了越来越多学者的关注。脑电技术作为新兴的认知神经工具,为信息系统研究提供了全新的方法论视角。现有综述文章基于常用的认知神经工具对神经信息系统学的研究现状、研究范式进行总结,为了更深入地理解、使用脑电技术以及将其更好地应用于信息系统研究中,本研究系统梳理2008-2018年间神经信息系统学中的脑电研究,对神经信息系统学中四个主要的研究议题(在线环境下的从众行为、信息安全、情绪影响和沉浸体验)进行了总结。最后,本研究对脑电技术的应用前景提出了展望,并基于脑电技术自身的特点,提出了将脑电技术应用于信息系统行为科学和设计科学的一些前沿议题,并讨论了脑电技术的局限与应用注意事项。脑电技术的引入突破了现有测量方法的壁垒,使研究者可以从客观的生理、认知层面来诠释管理信息系统中人、组织与信息技术的关系,有效地促进了信息系统研究的发展。
Neuroscience has attracted increasing attention from the information systems(IS) scholars and become an important research paradigm in IS research since the concept of neuro information system(NeuroIS) was proposed in 2007.Electroencephalograph(EEG) technology,a new scientific tool in cognitive neuroscience,offers new research insights into information system research.This study conducts a systematic review of NeuroIS research applying the EEG technology between 2008 and 2018,with a view to getting a deeper understanding of application of EEG technology as a research tool in the IS discipline.As a result,this study summarizes four important NeuroIS topics(herd behavior,information security,emotion,and flow experience in the online context) Finally,several directions for applying EEG technology to behavior-science and design-science IS research in the future are discussed,as well as issues needing to pay attention when applying EEG technology as a research tool.The EEG technology has broken down the barriers of existing measurement methods,enabling the IS researchers to interpret the complex relationships among people,organizations and information technology from an objectively physiological and cognitive perspective,which can help promote advanced IS research.
作者
金晓玲
于晓宇
周中允
王刊良
JIN Xiao-Ling;YU Xiao-yu;ZHOU Zhong-yun;WANG Kan-liang(School of Management,Laboratory of Neuroentrepreneurship,Shanghai University,Shanghai 200444,China;School of Economics&Management,Tongji university,Shanghai 200092,China;School of Business,Renmin University of China,Beijing 100872,China)
出处
《工业工程与管理》
CSSCI
北大核心
2019年第6期1-7,15,共8页
Industrial Engineering and Management
基金
国家自然科学基金资助项目(71872112,71772117,71871162)
