Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK
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...
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/34065/ |
| _version_ | 1848794766887616512 |
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| author | Zhang, Tao Siebers, Peer-Olaf Aickelin, Uwe |
| author_facet | Zhang, Tao Siebers, Peer-Olaf Aickelin, Uwe |
| author_sort | Zhang, Tao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:21:25Z |
| format | Article |
| id | nottingham-34065 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:21:25Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-340652020-05-04T17:44:19Z https://eprints.nottingham.ac.uk/34065/ Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK Zhang, Tao Siebers, Peer-Olaf Aickelin, Uwe 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. Elsevier 2016-05-01 Article PeerReviewed Zhang, Tao, Siebers, Peer-Olaf and Aickelin, Uwe (2016) Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK. Technological Forecasting and Social Change, 106 . pp. 74-84. ISSN 0040-1625 Authoritative technology adoption; User learning; Smart metering; Agent-based simulation http://www.sciencedirect.com/science/article/pii/S0040162516000512 doi:10.1016/j.techfore.2016.02.009 doi:10.1016/j.techfore.2016.02.009 |
| spellingShingle | Authoritative technology adoption; User learning; Smart metering; Agent-based simulation Zhang, Tao Siebers, Peer-Olaf Aickelin, Uwe Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title | Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title_full | Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title_fullStr | Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title_full_unstemmed | Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title_short | Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK |
| title_sort | simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the uk |
| topic | Authoritative technology adoption; User learning; Smart metering; Agent-based simulation |
| url | https://eprints.nottingham.ac.uk/34065/ https://eprints.nottingham.ac.uk/34065/ https://eprints.nottingham.ac.uk/34065/ |