Timid choices and bold forecasts: a cognitive perspective on risk taking
Management Science
Designs for environmental scanning systems: tests of a contingency theory
Management Science
Requirements Engineering: Processes and Techniques
Requirements Engineering: Processes and Techniques
EIS evolution in large Spanish businesses
Information and Management
UK executives' vision on business environment for information scanning: a cross industry study
Information and Management
When mental models go wrong: co-occurrences in dynamic, critical systems
International Journal of Human-Computer Studies
Event detection from online news documents for supporting environmental scanning
Decision Support Systems - Special issue: Knowledge management technique
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
Delegation technologies: environmental scanning with intelligent agents
Journal of Management Information Systems
Scanning world wide web documents with the vector space model
Decision Support Systems
A metadatabase-enabled executive information system (part A): a flexible and adaptable architecture
Decision Support Systems
Enterprise model management and next generation decision support
Decision Support Systems
Integrated decision support systems: A data warehousing perspective
Decision Support Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Journal of Management Information Systems
Detecting, Assessing and Monitoring Relevant Topics in Virtual Information Environments
IEEE Transactions on Knowledge and Data Engineering
Information use and early warning effectiveness: Perspectives and prospects
Journal of the American Society for Information Science and Technology
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Discovering company revenue relations from news: A network approach
Decision Support Systems
Design and natural science research on information technology
Decision Support Systems
Scenario analysis using Bayesian networks: A case study in energy sector
Knowledge-Based Systems
Design Research in Information Systems: Theory and Practice
Design Research in Information Systems: Theory and Practice
Making words work: Using financial text as a predictor of financial events
Decision Support Systems
Research Commentary---Digital Natives and Ubiquitous Information Systems
Information Systems Research
Enterprise risk and security management: Data, text and Web mining
Decision Support Systems
How is the Semantic Web evolving? A dynamic social network perspective
Computers in Human Behavior
Managing the future: six guidelines for designing environmental scanning systems
DESRIST'11 Proceedings of the 6th international conference on Service-oriented perspectives in design science research
The nature of theory in information systems
MIS Quarterly
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With Ansoff's article about weak signals as a flagship example, a substantial body of knowledge about environmental scanning systems exists. However, these concepts often go unused in practice. The 2008/2009 economic crisis provided a strong, ongoing impulse for redesigning such information systems (IS). This article develops six guidelines for the conceptual design of environmental scanning systems that are more applicable than those specified by previous research. We start with literature research, which reveals three gaps in existing approaches. Then we develop design guidelines to fill these gaps with the help of "modern" IS. To address the lack of sound requirements analysis, our first design principle proposes 360-degree environmental scanning systems for executives and suggests how to select the most important scanning areas. Three further findings cover weaknesses in the IS model perspective, focusing on more effective implications of weak signals. In terms of method, we propose incorporating scanning results more closely into executives' decision-making processes. Applying the design guidelines at a raw materials and engineering company, we arrive at a prototype we call the "corporate radar." It includes an IS-based tree with economic value added at risk on top. The resulting lessons learned help to evaluate our findings and the research method presented here, as well provide concrete starting points for future research.