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Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?
It has been recognized that data curation and governance can equip firms with the capability to generate sustainable knowledge. However, the antecedent and consequences of sustainable knowledge creation have not been systematically explored. The model in this study describes how sustainable knowledge creation enhances corporate information transparency, innovation, and financial and market performance. In addition, we also show how corporate data governance fosters sustainable knowledge creation among corporations listed in the Amman Stock exchange. Using survey data from (n = 180) publicly listed corporations and a judgmental sampling technique, we applied partial least squares structural equation modeling (PLS−SEM). Results from PLS−SEM show that corporate data governance is a predictor for sustainable knowledge creation, and sustainable knowledge creation is also a predictor for corporate information transparency and innovative, financial, and market performance. The study offers guidelines for corporate managers to effectively manage and use corporate data responsibly to attain sustainable knowledge creation which in turn results in greater corporate performance and desired outcomes. Implications for practice and theory are discussed.
Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?
It has been recognized that data curation and governance can equip firms with the capability to generate sustainable knowledge. However, the antecedent and consequences of sustainable knowledge creation have not been systematically explored. The model in this study describes how sustainable knowledge creation enhances corporate information transparency, innovation, and financial and market performance. In addition, we also show how corporate data governance fosters sustainable knowledge creation among corporations listed in the Amman Stock exchange. Using survey data from (n = 180) publicly listed corporations and a judgmental sampling technique, we applied partial least squares structural equation modeling (PLS−SEM). Results from PLS−SEM show that corporate data governance is a predictor for sustainable knowledge creation, and sustainable knowledge creation is also a predictor for corporate information transparency and innovative, financial, and market performance. The study offers guidelines for corporate managers to effectively manage and use corporate data responsibly to attain sustainable knowledge creation which in turn results in greater corporate performance and desired outcomes. Implications for practice and theory are discussed.
Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?
Raed A.I. Abueed (author) / Mehmet Aga (author)
2019
Article (Journal)
Electronic Resource
Unknown
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