Information system success and knowledge grid integration in facilitating knowledge sharing among big data community
Nowadays many domains interested to use big data to improve their decision making, strategic planning, and productivity while communication infrastructure supports various applications for users to share their resources, ideas or experiences. However, accessing, managing, analyzing, and using the ra...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68674/ http://psasir.upm.edu.my/id/eprint/68674/1/Information%20system%20success%20and%20knowledge%20grid%20integration%20in%20facilitating%20knowledge%20sharing%20among%20big%20data%20community.pdf |
| _version_ | 1848856194077163520 |
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| author | Hosseinioun, Sara Abdullah, Rusli Jusoh, Yusmadi Yah A. Jabar, Marzanah |
| author_facet | Hosseinioun, Sara Abdullah, Rusli Jusoh, Yusmadi Yah A. Jabar, Marzanah |
| author_sort | Hosseinioun, Sara |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays many domains interested to use big data to improve their decision making, strategic planning, and productivity while communication infrastructure supports various applications for users to share their resources, ideas or experiences. However, accessing, managing, analyzing, and using the rapidly expanding big data had raised challenges especially because of dispersed and heterogeneous nature of data. This review aimed to identify the factors to influence facilitating knowledge sharing among big data community from user satisfaction aspect and the way knowledge grid effect big data sharing by Delone and Maclean model for information system success. The research analysis and results revealed three features of knowledge grid which may influence information and system quality which defined as main factors affect knowledge sharing among the community from member's aspect. It also demonstrates seven factors to measure the facilitating knowledge sharing from community member's satisfaction view and quantity of knowledge sharing. Finally, the review established an initial conceptual model for facilitating knowledge sharing among big data which in follow up research will review by domain experts. |
| first_indexed | 2025-11-15T11:37:46Z |
| format | Conference or Workshop Item |
| id | upm-68674 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:37:46Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-686742020-05-25T01:47:38Z http://psasir.upm.edu.my/id/eprint/68674/ Information system success and knowledge grid integration in facilitating knowledge sharing among big data community Hosseinioun, Sara Abdullah, Rusli Jusoh, Yusmadi Yah A. Jabar, Marzanah Nowadays many domains interested to use big data to improve their decision making, strategic planning, and productivity while communication infrastructure supports various applications for users to share their resources, ideas or experiences. However, accessing, managing, analyzing, and using the rapidly expanding big data had raised challenges especially because of dispersed and heterogeneous nature of data. This review aimed to identify the factors to influence facilitating knowledge sharing among big data community from user satisfaction aspect and the way knowledge grid effect big data sharing by Delone and Maclean model for information system success. The research analysis and results revealed three features of knowledge grid which may influence information and system quality which defined as main factors affect knowledge sharing among the community from member's aspect. It also demonstrates seven factors to measure the facilitating knowledge sharing from community member's satisfaction view and quantity of knowledge sharing. Finally, the review established an initial conceptual model for facilitating knowledge sharing among big data which in follow up research will review by domain experts. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68674/1/Information%20system%20success%20and%20knowledge%20grid%20integration%20in%20facilitating%20knowledge%20sharing%20among%20big%20data%20community.pdf Hosseinioun, Sara and Abdullah, Rusli and Jusoh, Yusmadi Yah and A. Jabar, Marzanah (2018) Information system success and knowledge grid integration in facilitating knowledge sharing among big data community. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu, Sabah, Malaysia. (pp. 211-215). 10.1109/INFRKM.2018.8464790 |
| spellingShingle | Hosseinioun, Sara Abdullah, Rusli Jusoh, Yusmadi Yah A. Jabar, Marzanah Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title | Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title_full | Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title_fullStr | Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title_full_unstemmed | Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title_short | Information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| title_sort | information system success and knowledge grid integration in facilitating knowledge sharing among big data community |
| url | http://psasir.upm.edu.my/id/eprint/68674/ http://psasir.upm.edu.my/id/eprint/68674/ http://psasir.upm.edu.my/id/eprint/68674/1/Information%20system%20success%20and%20knowledge%20grid%20integration%20in%20facilitating%20knowledge%20sharing%20among%20big%20data%20community.pdf |