Abstract
The intent of this study was to investigate and comprehend the usage of open government data (OGD) and to take a look at the ways those roles affect public sector managers’ work productivity. Regardless of its novel reputation in the usage of OGD literature, past research has revealed that Malaysian public sector organisations have not entirely embarked on user OGD initiatives extensively. The main feature to note is that the data and information collected, maintained and kept by the government are national assets. The conceptual structure is composed of up of five independent variables: system quality, information quality, data availability, trust factor and voluntariness as well as two dependent: OGD usage and work productivity. There were six proposed hypotheses developed. The well-designed research notion provides the researcher with adequate trust to proceed to examining variables such as research design and data collection technique. It is believed that this proposal will enlighten relevant information on user of OGD among public manager and overall public sector ecosystem.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Mohd Rasali, Mohd Khairul Ezam UNSPECIFIED Mohamed Shuhidan, Shamila UNSPECIFIED Baharuddin, Mohammad Fazli UNSPECIFIED |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > Labor. Work. Working class > Labor market. Labor supply. Labor demand, Including unemployment, manpower policy, occupational training, employment agencies J Political Science > JF Political institutions and public administration > Public administration |
Divisions: | Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management |
Journal or Publication Title: | Journal of Information and Knowledge Management (JIKM) |
UiTM Journal Collections: | UiTM Journal > International Journal of Information and Knowledge Management (JIKM) |
ISSN: | ISSN:2231-8836 ; E-ISSN:2289-5337 |
Volume: | 2 |
Page Range: | pp. 231-241 |
Keywords: | Open data, open government data, work performance, public sector manager, public sector, knowledge management |
Date: | November 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/87379 |