Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
复制标题
模拟用户在权威技术采用中的学习：英国议会主导的智能电表部署规划的基于代理的模型
DOI：
10.1016/j.techfore.2016.02.009
复制
发表时间：
2016
影响因子：
12
通讯作者：
Zhang T
中科院分区：
文献类型：
--
作者：
Zhang T
技术用户如何有效地从对技术一无所知过渡到在权威技术采用后充分利用它？在技术管理文献中，这种采用后的用户学习很少受到研究关注。在本文中，我们调查用户学习的权威技术采用开发一个基于代理的模型，使用的情况下，议会主导的智能电表部署在英国城市利兹。能源消费者根据行为学习中的学习曲线获得使用智能电表的经验。通过基于代理的模型，我们进行了实验，以验证模型和测试不同的能源干预措施，地方当局可以用来促进能源消费者的学习和保持他们的技术的持续使用。我们的研究结果表明，能源消费者更容易成为经验丰富，更节能，他们可以实现更多的节能;鼓励能源消费者的接触，通过各种信息手段，可以促进他们的学习;和发展和保持他们的积极态度，智能计量可以使他们不断使用该技术。本文讨论的贡献和能源政策/干预的影响。
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.