Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
Tao Zhang, Peer-Olaf Siebers, Uwe Aickelin
Technological Forecasting and Social Change | Elsevier | Published : 2016
How do technology users effectively transit from having zero knowledge about a technology to making the best use of it after an authoritative technology adoption? This post-adoption user learning has received little research attention in technology management literature. In this paper we investigate user learning in authoritative technology adoption by developing an agent-based model using the case of council-led smart meter deployment in the UK City of Leeds. Energy consumers gain experience of using smart meters based on the learning curve in behavioural learning. With the agent-based model we carry out experiments to validate the model and test different energy interventions that local au..View full abstract
Awarded by UK Engineering and Physical Sciences Research Council
Awarded by Engineering and Physical Sciences Research Council
The research was sponsored by the UK Engineering and Physical Sciences Research Council (Grant Ref: EP/G05956X/1). The authors would like to extend their thanks to their project collaborators in the University of Leeds.