Some patterns of technological change in high-performance computers
Proceedings of the 1988 ACM/IEEE conference on Supercomputing
An evaluative framework for research on the performance effects of information technology investment
ICIS '89 Proceedings of the tenth international conference on Information Systems
Strategic information technology investments: guidelines for decision making
Journal of Management Information Systems
A social process model of user-analyst relationships
MIS Quarterly
Communications of the ACM
Design Rules: The Power of Modularity Volume 1
Design Rules: The Power of Modularity Volume 1
Who Joins the Platform? The Case of the RFID Business Ecosystem
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 08
The qualitative interview in IS research: Examining the craft
Information and Organization
Technology roles and paths of influence in an ecosystem model of technology evolution
Information Technology and Management
Design and natural science research on information technology
Decision Support Systems
Design science in information systems research
MIS Quarterly
The nature of theory in information systems
MIS Quarterly
Understanding evolution in technology ecosystems
Communications of the ACM
Information Systems Research
An Interdisciplinary Perspective on IT Services Management and Service Science
Journal of Management Information Systems
The Power of Patterns and Pattern Recognition When Developing Information-Based Strategy
Journal of Management Information Systems
Design science and the accumulation of knowledge in the information systems discipline
ACM Transactions on Management Information Systems (TMIS)
Competition and collaboration shaping the digital payment infrastructure
Proceedings of the 14th Annual International Conference on Electronic Commerce
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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A major problem for firms making information technology investment decisions is predicting and understanding the effects of future technological developments on the value of present technologies. Failure to adequately address this problem can result in wasted organization resources in acquiring, developing, managing, and training employees in the use of technologies that are short-lived and fail to produce adequate return on investment. The sheer number of available technologies and the complex set of relationships among them make IT landscape analysis extremely challenging. Most IT-consuming firms rely on third parties and suppliers for strategic recommendations on IT investments, which can lead to biased and generic advice. We address this problem by defining a new set of constructs and methodologies upon which we develop an IT ecosystem model. The objective of these artifacts is to provide a formal problem representation structure for the analysis of information technology development trends and to reduce the complexity of the IT landscape for practitioners making IT investment decisions. We adopt a process theory perspective and use a combination of visual mapping and quantification strategies to develop our artifacts and a state diagram-based technique to represent evolutionary transitions over time. We illustrate our approach using two exemplars: digital music technologies and wireless networking technologies. We evaluate the utility of our approach by conducting in-depth interviews with IT industry experts and demonstrate the contribution of our approach relative to existing techniques for technology forecasting.