Title: The Roles of Emotions in Understanding Adaptation Behaviors at the Post-Adoption Stage
Lecturer: Prof. Teo Hock Hai, National University of Singapore
Time and Date: at 2:30-4:30 pm, Thursday, December 21st, 2017
Venue: Room 102, Teaching Building 3
Introduction to Prof. Teo Hock Hai
Professor Hock-Hai Teo is Provost's Chair Professor of Information Systems. He served as the Head of the Department of Information Systems at the School of Computing, National University of Singapore from August 2008 to June 2015 and as Vice-Dean, Corporate Communications from August 2007 to August 2008. His current research interests focus mainly on Health Informatics, open innovation, and IT artifacts that are geared towards improving individual decision-making, health outcomes and educational outcomes. Dr. Teo has published broadly in journals such as the ACM Transactions on Computer-Human Interactions, MIS Quarterly, Journal of Management Information Systems,Information Systems Research, IEEE Transactions on Engineering Management,International Journal of Human-Computer Studies, and Information and Management and has presented at numerous international conferences,including the International Conference on Information Systems. He is currently serving or has served on the editorial boards of Data Base for Advances in Information Systems, European Journal of Information Systems, International Journal of Electronic Commerce, Information Systems Research, IEEE Transactions on Engineering Management and MIS Quarterly. He has won numerous best paper award at conferences and was also the winner of the MIS Quarterly Reviewer of the Year (2004) award.
Users’ adaptation behaviors are believed to be vital to the success of the system. However, prior studies have mixed results on whether adaptation can indeed improve job performance, and lack a systematic way to understand the antecedents of different adaptation behaviors. We draw on appraisal theory of emotion to develop a framework to classify various emotions, and link emotions, adaptation and job performance together. The research model was tested using data collected from a two-round survey of 228 nurses. Results suggest that emotions can not only explain why individual adaptation and/or task-technology adaptation occur, but also serve as mechanisms of performance impacts of adaptation. This study (1) extends our understanding of adaptation in terms of both antecedents and consequences, (2) unveils the roles of different emotions in eliciting users’ adaptation behaviors, and (3) differentiates individual adaptation from task-technology adaptation in terms of their emotional antecedents. Implications for practice are discussed.