Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/3169
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Razak F.Z.B.A. | en_US |
dc.contributor.author | Bakar A.A. | en_US |
dc.contributor.author | Wong, K.N.S.S. | en_US |
dc.date.accessioned | 2022-07-20T07:10:10Z | - |
dc.date.available | 2022-07-20T07:10:10Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 17407494 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/3169 | - |
dc.description | Scopus | en_US |
dc.description.abstract | Information quality plays an important role in influencing technology use. To date there have been many studies determining the relationship between quality information and e-government use. However, very few studies have examined gender's role in simplifying the relationship between qualitative information and e-government acceptance. A total of 543 participants were involved in this study. This study determines that quality of information has a positive and significant relationship with quality of information, and the use of e-government, while explaining the variance of e-government adoption by 15%. The implications of the study have also been discussed. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Inderscience Publishers | en_US |
dc.relation.ispartof | Electronic Government | en_US |
dc.subject | e-government | en_US |
dc.subject | Information quality | en_US |
dc.subject | Partial least square | en_US |
dc.subject | PLS | en_US |
dc.subject | SPSS | en_US |
dc.subject | Technology adoption | en_US |
dc.title | The linkage between information quality and e-government adoption: Is gender a moderating factor? | en_US |
dc.type | National | en_US |
dc.identifier.doi | 10.1504/EG.2022.119618 | - |
dc.description.page | 94 - 104 | en_US |
dc.volume | 18 (1) | en_US |
dc.description.type | Article | en_US |
item.grantfulltext | none | - |
item.languageiso639-1 | en_US | - |
item.openairetype | National | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Faculty of Data Science and Computing - Journal (Scopus/WOS) |
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