A missing generation: office automation/information systems and human-computer interaction
interactions - A contradiction in terms?
Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect"
Management Science
Information Technology and Management
Special Section: Human-Computer Interaction Research in Management Information Systems
Journal of Management Information Systems
Seeding the survey and analysis of research literature with text mining
Expert Systems with Applications: An International Journal
Examining the effects of cognitive style in individuals' technology use decision making
Decision Support Systems
Brian Shackel's contribution to the written history of Human-Computer Interaction
Interacting with Computers
Impact of ATM intensity on cost efficiency: An empirical evaluation in Taiwan
Information and Management
An analysis of research on information reuse and ntegration
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations
Information Systems Research
Electronic Commerce Research and Applications
Strategic information systems research: An archival analysis
The Journal of Strategic Information Systems
IT, productivity and organizational practices: large sample, establishment-level evidence
Information Technology and Management
IT infrastructure capabilities and IT project success: a development team perspective
Information Technology and Management
Opening up design science: The challenge of designing for reuse and joint development
The Journal of Strategic Information Systems
Impact of network effects and diffusion channels on home computer adoption
Decision Support Systems
An Experimental Comparison of Linear and Nonlinear Price Combinatorial Auctions
Information Systems Research
The Power of Patterns and Pattern Recognition When Developing Information-Based Strategy
Journal of Management Information Systems
Productivity and Performance Effects of Business Process Reengineering: A Firm-Level Analysis
Journal of Management Information Systems
Information Technology and Trademarks: Implications for Product Variety
Management Science
Information Hang-overs in Healthcare Service Systems
Manufacturing & Service Operations Management
Price Discovery in the U.S. Treasury Market: Automation vs. Intermediation
Management Science
Accuracy of aggregate data in distributed project settings: Model, analysis and implications
Journal of Data and Information Quality (JDIQ)
MIS Quarterly
Explaining data-driven document classifications
MIS Quarterly
Hi-index | 0.01 |
The development of the information systems (IS) literature inManagement Science during the past 50 years reflects the inception, growth, and maturation of several different research streams. The five research streams we identify incorporate different definitions of the managerial problems that relate to IS, the alternate theoretical perspectives and different methodological paradigms to study them, and the levels of the organization at which their primary results impact managerial practice. Thedecision support and design science research stream studies the application of computers in decision support, control, and managerial decision making. Thevalue of information research stream reflects relationships established based on economic analysis of information as a commodity in the management of the firm. Thehuman-computer systems design research stream emphasizes the cognitive basis for effective systems design. TheIS organization and strategy research stream focuses the level of analysis on the locus of value of the IS investment instead of on the perceptions of a system or its user. Theeconomics of information systems and technology research stream emphasizes the application of theoretical perspectives and methods from analytical and empirical economics to managerial problems involving IS and information technologies (IT). Based on a discussion of these streams, we evaluate the IS literature's core contributions to theoretical and managerial knowledge, and make some predictions about the road that lies ahead for IS researchers.