dc.contributor.author | Bokolo, Anthony Junior | |
dc.date.accessioned | 2019-11-20T13:10:08Z | |
dc.date.available | 2019-11-20T13:10:08Z | |
dc.date.created | 2019-11-18T19:36:24Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Journal of Cases on Information Technology. 2020, 13 (1), 14-37. | nb_NO |
dc.identifier.issn | 1548-7717 | |
dc.identifier.uri | http://hdl.handle.net/11250/2629523 | |
dc.description.abstract | This 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.iso | eng | nb_NO |
dc.publisher | IGI Global | nb_NO |
dc.title | Green Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms: Explicating Technology Organization Environment Framework | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 14-37 | nb_NO |
dc.source.volume | 13 | nb_NO |
dc.source.journal | Journal of Cases on Information Technology | nb_NO |
dc.source.issue | 1 | nb_NO |
dc.identifier.doi | 10.4018/JCIT.2020010102 | |
dc.identifier.cristin | 1749076 | |
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/10.1108/13552511011084526 | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |