Cited by 269Intellectual Property and PatentsInnovation Diffusion and ForecastingTechnology Assessment and Management

Technology life-cycles in the energy sector—Technological characteristics and the role of deployment for innovation

Huenteler, Joern, Schmidt, Tobias S., Ossenbrink, Jan, Hoffmann, Volker H.·2016·Technological Forecasting and Social Change

Integrity signals

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Crossref · 10.1016/j.techfore.2015.09.022

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83 of 83 references verified0 citation errors · 0 not checkable

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  • Understanding the long-term composition of innovation in energy technologies is important for technology forecasting and public policy planning in the context of climate change.

    “According to [119], understanding the long-term composition of innovation in energy technologies is important for technology forecasting and public policy planning in the context of climate change.”

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Authors
Huenteler, J., Schmidt, T. S., Ossenbrink, J., & Hoffmann, V. H.
Affiliations
  • Harvard University (US)
  • ETH Zurich (CH)
Corresponding author
Huenteler, Joern
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2016-03
Volume
104
Pages
102-121
ISSN
0040-1625 (ISSN-L)
OpenAlex
W3124012482
Cited by
269
References
83
Citations by year
2026: 20 · 2025: 30 · 2024: 25 · 2023: 21 · 2022: 21 · 2021: 28 · 2020: 42 · 2019: 24 · 2018: 30 · 2017: 16 · 2016: 9 · 2015: 3
FWCI
43.84
Type
journal article
Language
en
Open access
closed
Locations
Technological Forecasting and Social Change (publishedVersion)
Funders
Swiss Commission for Technology and Innovation (CTI) (KTI. 1155000154)
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Intellectual Property and Patents
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Technology Assessment and Management
Keywords
technology life cycle, energy technology innovation, patent citation networks, photovoltaics, wind turbine technology, technology deployment, learning process, technology policy, solar cell production

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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