A Bibliometric Analysis of Risks for Cross-border Business and Data Movement

The digital economy has brought about a rapid expansion of cross-border activities, making risk management and control in the areas of data security and cross-border business more important. In this study, we apply a bibliometric approach to systematically organize the research progress on cross-border risks both domestically and internationally. Overall, by visualizing and analyzing 296 Chinese and 315 English papers collected, we observe an increasing scholarly interest in cross-border risk issues as evidenced by the growth trends of literature publication data. We then examine the network of cooperative relationships between various countries/regions, and identify five clusters of literature in Chinese and English research respectively, through visualization technologies in bibliometrics. These clusters clearly exhibit the current status of research on cross-border risks around the world in recent years. Furthermore, we aggregate a collection of risk factors from various types of cross-border activities, thereby delivering insights for the construction of industrial ecosystems and policy makings by governments.