Shannon Fye
Papers
1
Total Citations
43
H-Index
1
About
Shannon Fye’s research lies at the intersection of innovation management and technology forecasting, with a particular focus on the accuracy and methodological rigor of predictive models. In her most-cited work, “An examination of factors affecting accuracy in technology forecasts” (2012, 43 citations), Fye systematically investigates the variables that influence the reliability of technology predictions—a critical issue for both corporate strategists and policymakers. By identifying key factors such as data quality, model assumptions, and temporal horizons, her study provides a foundational framework for improving forecast precision. This contribution has informed subsequent research on decision-making under uncertainty and has been cited by scholars working in R&D management and foresight studies. Fye’s work is notable for bridging theoretical insights with practical applications, offering actionable guidance for practitioners seeking to navigate the complexities of technological change. Through her rigorous analysis, she has helped advance the field’s understanding of how to mitigate biases and enhance the credibility of technology forecasts, making her a respected voice in the ongoing dialogue about innovation and strategic planning.
Research Focus
Key Achievements
Top Papers
- 1An examination of factors affecting accuracy in technology forecasts43 citations · 2012