  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 authorities can use to facilitate energy consumers' learning and maintain
their continuous use of the technology. Our results show that the easier energy
consumers become experienced, the more energy-efficient they are and the more
energy saving they can achieve; encouraging energy consumers' contacts via
various informational means can facilitate their learning; and developing and
maintaining their positive attitude toward smart metering can enable them to
use the technology continuously. Contributions and energy policy/intervention
implications are discussed in this paper.
