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Conference Paper: Improving China's corporate governance within the big data era: Integration of knowledge management and data governance
Title | Improving China's corporate governance within the big data era: Integration of knowledge management and data governance |
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Authors | |
Keywords | Big Data China Corporate governance Data governance Knowledge management |
Issue Date | 2015 |
Citation | Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM, 2015, v. 2015-January, p. 183-190 How to Cite? |
Abstract | Several literature examined different ways in improving China's corporate governance such as floating on nontradable shares, executive compensation, strengthening independent board of directors and supervisory board; however, there is a lack of existing research addressing the important role of knowledge management (KM) and data governance in China's corporate governance within the big data era. Knowledge management and data governance have become a major factor for improving corporate governance for international success. Therefore, this study is designed to develop a conceptual framework integrating KM strategy and data governance in improving corporate governance in China. We suggest that a KM-based approach to corporate governance provides a valid perspective. Both KM governance and data governance are indicative in improving corporate governance in China within the big data era. Devising appropriate KM mechanism and data governance helps ensure efficient and sound decision making from board of directors and stakeholders of organizations; minimizing falsification of accounting information among stakeholders. |
Persistent Identifier | http://hdl.handle.net/10722/316459 |
ISSN | 2020 SCImago Journal Rankings: 0.120 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ng, Peggy Mei Lan | - |
dc.contributor.author | Lo, Man Fung | - |
dc.contributor.author | Choy, Ellesmere | - |
dc.date.accessioned | 2022-09-14T11:40:30Z | - |
dc.date.available | 2022-09-14T11:40:30Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM, 2015, v. 2015-January, p. 183-190 | - |
dc.identifier.issn | 2048-9803 | - |
dc.identifier.uri | http://hdl.handle.net/10722/316459 | - |
dc.description.abstract | Several literature examined different ways in improving China's corporate governance such as floating on nontradable shares, executive compensation, strengthening independent board of directors and supervisory board; however, there is a lack of existing research addressing the important role of knowledge management (KM) and data governance in China's corporate governance within the big data era. Knowledge management and data governance have become a major factor for improving corporate governance for international success. Therefore, this study is designed to develop a conceptual framework integrating KM strategy and data governance in improving corporate governance in China. We suggest that a KM-based approach to corporate governance provides a valid perspective. Both KM governance and data governance are indicative in improving corporate governance in China within the big data era. Devising appropriate KM mechanism and data governance helps ensure efficient and sound decision making from board of directors and stakeholders of organizations; minimizing falsification of accounting information among stakeholders. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM | - |
dc.subject | Big Data | - |
dc.subject | China | - |
dc.subject | Corporate governance | - |
dc.subject | Data governance | - |
dc.subject | Knowledge management | - |
dc.title | Improving China's corporate governance within the big data era: Integration of knowledge management and data governance | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-84994382312 | - |
dc.identifier.volume | 2015-January | - |
dc.identifier.spage | 183 | - |
dc.identifier.epage | 190 | - |
dc.identifier.isi | WOS:000371799600023 | - |