Data governance and the secondary use of data: The board influence

A tripartite evolutionary game analysis of sports data rights protection from the perspective of stakeholder

“…Therefore, there is a need to build a preventive system for sports data protection and take preventive measures against possible data security problems. This includes regular or irregular risk assessment reviews, such as differentiated assessment and safeguards according to the application scenarios of sports data; comprehensive investigation and analysis of departments or businesses with data security risks, which may be dangerous due to the uncertainty of the regulation of the secondary use of data [38]. Therefore, there is a need to investigate the departments or operations involved in the work of secondary dissemination and utilization of personal data in sports, resulting in a risk report Finally, sports enterprises should build an internal sports data monitoring system, including supervision and auditing of sports data, in which supervision of sports data processing, handling, storage and sharing should be included in the scope of responsibility of managers to check whether there is any improper use or violation of sports data; auditing requires the audit department to independently review sports data processing and use, thus ensuring that sports enterprises form an effective internal data governance mechanism and are well implemented.…”

Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods

“…With the increasing availability of large volumes of publicly available secondary data, the empirical analysis of such data has gained increasing relevance and importance in information systems (IS) research (Black et al, 2020). Secondary data analysis also aligns well with the positivist research paradigm, which is the most dominant research approach within the IS community (Burton-Jones & Lee, 2017).…”

“…Prior research has also highlighted several benefits of using secondary data, including (a) the reduction of bias that is sometimes introduced in qualitative approaches such as case studies (Choy, 2014); (b) the lack of intrusiveness that is associated with other methods, such as action research and interviews (Rabinovich & Cheon, 2011); (c) the absence of issues, such as survey fatigue (Sinickas, 2007); and (d) efficiency and cost-effectiveness of data procurement and use. With the emergence of reputable and highly credible secondary data sources and improved archival and management processes, the use of secondary data for empirical research is slated to grow even further (Black et al, 2020).…”