Effects of decision support training and cognitive style on decision process attributes
Journal of Management Information Systems
Decision support systems for workers: a bridge to advancing productivity
Information and Management
International Journal of Man-Machine Studies
The importance of learning style in end-user training
MIS Quarterly
Communications of the ACM
Managerial information overload
Communications of the ACM
Customer Referral Management: Optimal Reward Programs
Marketing Science
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Information Systems Research
The influence of search engines on preferential attachment
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
A Bayesian model that predicts the impact of Web searching on decision making
Journal of the American Society for Information Science and Technology - Research Articles
Real World Interaction Oriented Edutainment using Ubiquitous Devices
WMTE '06 Proceedings of the Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education
Thinking style, browsing primes and hypermedia navigation
Computers & Education
Brand and its effect on user perception of search engine performance
Journal of the American Society for Information Science and Technology
Exploring creative thinking in graphically mediated synchronous dialogues
Computers & Education
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 0.00 |
Cognitive style was once a popular research topic in the field of decision support systems (DSS), but because of the lack of usable results, it has not received much attention from the research community in recent years. This paper argues that it can be both promising and worthwhile to revive research efforts into cognitive style in the modern decision-making environment. Several reasons are offered to support this argument: First, the decision-making environment is now more integrated with technology, particularly the Internet, making it more uniform and easier to define. Second, the potential benefit of such studies is greater because more people are using Internet-based technology to make decisions. Third, data on the cognitive behavior of decision makers are captured and available for analysis because of the close integration between technology and the decision-making process. Research questions are raised and potential variables are proposed and discussed.