Leading with Digital Technologies Governance in the State-Owned Enterprises

Abstract

By sharing novel research into the practical implications of large-scale digital records, this study aims to analyze the advanced impact of protective digital technologies strategies on state-owned enterprise governance. The study used panel data fixed effect regression model for analyzing the advanced impact of protective data strategies on digital-risk governance. Furthermore, to analyze the persistence of digital-risk and address the endogeneity concern, a dynamic panel model is used, and the results are estimated using GMM technique. This study shows that the protective data strategies are helpful in reducing digital-risk and therefore state-owned enterprises can reduce their digital-risk exposure by adopting innovative record practices. To the best of the author’s knowledge no prior study analyzes the impact of protective data strategies on the digital-risk governance. Therefore, the current research provides a significant contribution in the enterprise information literature regarding digital records and digital-risk governance.

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