Journal article
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
Abstract
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..
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Awarded by Engineering and Physical Sciences Research Council
Funding Acknowledgements
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.