Green IT in practice: virtual meetings in Swedish public agencies
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If passenger trips are replaced by telepresence, travel demand can be reduced, as shown in public agencies and scientific teams.
“If passenger trips are replaced by telepresence, travel demand can be reduced, as has been shown for example in public agencies [34] and for scientific teams [518].”
From Tackling climate change with machine learning (2023) · cites this paper as [34]
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Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Arnfalk, P., Pilerot, U., Schillander, P., & Grönvall, P.
- Affiliations
- Lund University (SE)
- Swedish Transport Administration (SE)
- Corresponding author
- Arnfalk, Peter
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 123
- Pages
- 101-112
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W1164218090
- Cited by
- 47
- References
- 27
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 5 · 2022: 8 · 2021: 9 · 2020: 6 · 2019: 2 · 2018: 5 · 2017: 3 · 2016: 3
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cleaner Production (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Social Sciences › Sociology and Political Science › Conferences and Exhibitions Management
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy Efficiency and Management
- Keywords
- virtual meetings, green computing, public agencies, CO2 emissions, rebound effect, implementation methodology, organizational change, environmental policy instruments, Swedish public sector
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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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