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ABSTRACT
Leveraging the analytic and heuristic modes of information processing (i.e. the dual information processing modes) equips disaster professionals with valuable insights into decision support processes during a disaster. Drawing from task-technology fit (TTF), we explore the fit between the dual information processing modes and the influence of different task conditions on perceived disaster decision support by conducting an empirical study involving 136 disaster professionals. The findings of this study extend the theory of TTF by incorporating the dual information processing modes and examine how disaster professionals evaluate these modes in disaster decision support processes.
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Jacob Chia-An Tsai
Jacob Chia-An Tsai is an Associate Professor at the National Yunlin University of Science and Technology, Taiwan. Dr. Tsai’s research interests include project management and program management. His research appears in Journal of Management Information Systems, Information & Management, Decision Support Systems, Project Management Journal, International Journal of Project Management, and IEEE Transactions on Engineering Management.
Shin-Yuan Hung
Shin-Yuan Hung is Provost and Professor of Information Systems at National Chung Cheng University in Taiwan. He received his doctoral degree in Information Systems from National Sun Yat-sen University, Taiwan. Dr. Hung’s research interests include decision support systems, knowledge management, electronic commerce, and big data analysis. He serves as an Associate Editor of Information & Management and as an Area Editor of the Journal of Information Management.