Adoption Strategy
Adoption strategy research explores how individuals, organizations, and societies embrace new technologies and ideas, focusing on understanding the factors influencing uptake and the resulting impact. Current research investigates diverse areas, including the role of promotional language in scientific innovation, the use of agent-based modeling and evolutionary game theory to predict adoption trajectories in complex systems, and the development of frameworks for assessing organizational readiness for AI integration. This work is significant for improving the design and implementation of new technologies across various sectors, from healthcare and education to transportation and cultural heritage, ultimately leading to more effective and responsible innovation.
Papers
Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
Keiichi Namikoshi, David A. Shamma, Rumen Iliev, Jingchao Fang, Alexandre Filipowicz, Candice L Hogan, Charlene Wu, Nikos Arechiga
Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers
Jose A. Guridi, Cristobal Cheyre, Qian Yang