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Conference Paper: Improving China's corporate governance within the big data era: Integration of knowledge management and data governance

TitleImproving China's corporate governance within the big data era: Integration of knowledge management and data governance
Authors
KeywordsBig Data
China
Corporate governance
Data governance
Knowledge management
Issue Date2015
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?
AbstractSeveral 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 Identifierhttp://hdl.handle.net/10722/316459
ISSN
2020 SCImago Journal Rankings: 0.120
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorNg, Peggy Mei Lan-
dc.contributor.authorLo, Man Fung-
dc.contributor.authorChoy, Ellesmere-
dc.date.accessioned2022-09-14T11:40:30Z-
dc.date.available2022-09-14T11:40:30Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM, 2015, v. 2015-January, p. 183-190-
dc.identifier.issn2048-9803-
dc.identifier.urihttp://hdl.handle.net/10722/316459-
dc.description.abstractSeveral 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.languageeng-
dc.relation.ispartofProceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM-
dc.subjectBig Data-
dc.subjectChina-
dc.subjectCorporate governance-
dc.subjectData governance-
dc.subjectKnowledge management-
dc.titleImproving China's corporate governance within the big data era: Integration of knowledge management and data governance-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-84994382312-
dc.identifier.volume2015-January-
dc.identifier.spage183-
dc.identifier.epage190-
dc.identifier.isiWOS:000371799600023-

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