ON THE USE OF NEUROPHYSIOLOGICAL TOOLS IN IS RESEARCH: DEVELOPING A RESEARCH AGENDA FOR NEUROIS

• 成果类型: Article
• 署名作者: Dimoka, Angelika; Banker, Rajiv D.; Benbasat, Izak; Davis, Fred D.; Dennis, Alan R.; Gefen, David; Gupta, Alok; Lschebeck, Anja; Kenning, Peter H.; Pavlou, Paul A.; Mueller-Putz, Gernot; Riedl, Rene; vom Brocke, Jan; Weber, Bernd
• 署名单位: Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University; University of British Columbia; Royal Society of Canada; University of Arkansas System; University of Arkansas Fayetteville; Sogang University; Indiana University System; Indiana University Bloomington; IU Kelley School of Business; Drexel University; University of Minnesota System; University of Minnesota Twin Cities; University of Graz; Zeppelin University; Graz University of Technology; Johannes Kepler University Linz; University of Liechtenstein; University of Bonn; University of Bonn
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• 发表日期: 2012
• 页码: 679-702
• 关键词: recommendation agents; information-technology; decision-making; working-memory; functional neuroanatomy; cognitive neuroscience; Competitive advantage; capacity constraints; electronic commerce; SYSTEM USAGE

摘要

This article discusses the role of commonly used neurophysiological tools such as psychophysiological tools (e.g., EKG, eye tracking) and neuroimaging tools (e.g., fMRI, EEG) in Information Systems research. There is heated interest now in the social sciences in capturing presumably objective data directly from the human body, and this interest in neurophysiological tools has also been gaining momentum in IS research (termed NeuroIS). This article first reviews commonly used neurophysiological tools with regard to their major strengths and weaknesses. It then discusses several promising application areas and research questions where IS researchers can benefit from the use of neurophysiological data. The proposed research topics are presented within three thematic areas: (1) development and use of systems, (2) IS strategy and business outcomes, and (3) group work and decision support. The article concludes with recommendations on how to use neurophysiological tools in IS research along with a set of practical suggestions for developing a research agenda for NeuroIS and establishing NeuroIS as a viable subfield in the IS literature.