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dc.contributor.authorBokolo, Anthony Junior
dc.date.accessioned2019-11-20T13:10:08Z
dc.date.available2019-11-20T13:10:08Z
dc.date.created2019-11-18T19:36:24Z
dc.date.issued2020
dc.identifier.citationJournal of Cases on Information Technology. 2020, 13 (1), 14-37.nb_NO
dc.identifier.issn1548-7717
dc.identifier.urihttp://hdl.handle.net/11250/2629523
dc.description.abstractThis study develops a green information system (IS) interpretive model grounded on technology organization environment (TOE) framework to identify the factors that influence Green IS refraction and further examines to what extent these factors impact Green IS refraction in information communications technology (ICT) based firms for corporate ecological responsibility reflection. For this purpose, a survey was conducted among ICT based firms and analyzed using partial least square-structural equation modeling (PLS-SEM). Results indicate that the technological factors significantly influence Green IS refraction. In addition, results suggest that the organizational factors positively influence Green IS refraction. Moreover, results reveal that environmental factors significantly determine the extent of Green IS refraction. Finally, results show that Green IS reflection initiatives implemented in ICT-based firms positively defines corporate ecological responsibility. Respectively, this study offers a comprehensive approach for measuring Green IS practice implemented in ICT based firms.nb_NO
dc.language.isoengnb_NO
dc.publisherIGI Globalnb_NO
dc.titleGreen Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms: Explicating Technology Organization Environment Frameworknb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber14-37nb_NO
dc.source.volume13nb_NO
dc.source.journalJournal of Cases on Information Technologynb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.4018/JCIT.2020010102
dc.identifier.cristin1749076
dc.description.localcode© 2019. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: http://www.emeraldinsight.com/doi/full/10.1108/13552511011084526nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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