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dc.date.accessioned2020-03-03T19:26:29Z
dc.date.available2020-04-24T22:46:31Z
dc.date.created2018-06-26T10:53:19Z
dc.date.issued2018
dc.identifier.citationZhang, Zengxin Chang, Juan Xu, Chong-Yu Zhou, Yang Wu, Yanhong Chen, Xi Jiang, Shanshan Duan, Zheng . The response of lake area and vegetation cover variations to climate change over the Qinghai-Tibetan Plateau during the past 30 years. Science of the Total Environment. 2018, 635, 443-451
dc.identifier.urihttp://hdl.handle.net/10852/73658
dc.description.abstractThe Technology Acceptance Model (TAM) is a key model describing teachers' intentions to use technology. This meta-analysis clarifies some of the contradictory findings surrounding the relations within the TAM for a sample of 45 studies comprising 300 correlations. We evaluate the overall fit of the TAM and its structural parameters, and quantify the between-sample variation through meta-analytic structural equation modeling. The TAM fitted the data well, and all structural parameters were statistically significant. On average, the TAM variables explained 39.2% of the variance in teachers' intentions to use technology. Several sample, measurement, and publication characteristics, including teachers’ experience and the representation of the TAM variables, moderated the relations within the TAM. Overall, the TAM represents a valid model explaining technology acceptance—however, the degree of explanation and the relative importance of predictors vary across samples. Implications for further research, in particular the generalizability of the TAM, are discussed.
dc.languageEN
dc.publisherElsevier Science
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleThe response of lake area and vegetation cover variations to climate change over the Qinghai-Tibetan Plateau during the past 30 years
dc.typeJournal article
dc.creator.authorZhang, Zengxin
dc.creator.authorChang, Juan
dc.creator.authorXu, Chong-Yu
dc.creator.authorZhou, Yang
dc.creator.authorWu, Yanhong
dc.creator.authorChen, Xi
dc.creator.authorJiang, Shanshan
dc.creator.authorDuan, Zheng
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1593936
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Science of the Total Environment&rft.volume=635&rft.spage=443&rft.date=2018
dc.identifier.jtitleScience of the Total Environment
dc.identifier.volume635
dc.identifier.startpage443
dc.identifier.endpage451
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2018.04.113
dc.identifier.urnURN:NBN:no-76777
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0048-9697
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/73658/4/edZhengxin%2BSTOTEN-D-17-08651R1.pdf
dc.type.versionAcceptedVersion
cristin.articleid


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