Blockchain-based information security and privacy protection policies: challenges and future directions using computational literature review

Blockchain technology has gained immense popularity in enhancing the security and privacy of Information Systems (IS), reflected in exponential increases in published research articles. The rapid proliferation of published research presents significant challenges for manual analysis and synthesis due to the vast volume of information. To this end, we adopted the Computational Literature Review (CLR) and Latent Dirichlet Allocation (LDA) topic modeling techniques to analyze the impact of the pertinent literature. This study is among the first studies in the IS field to apply the CLR technique in the Legal-Tech context, focusing on security, privacy, and governance in blockchain systems. Using CLR and LDA topic modeling, we identified 10 topics related to security and privacy, each accompanied by an in-depth description aligned with relevant policies and regulations. Our findings identify both the strengths and current gaps in the literature, providing valuable insights into ongoing scholarly discourse. Through our analysis, we outline future research directions that align with the evolving dynamics of blockchain technology, data management, and policy implications, aiming to guide further academic and practical advancements in the IS field.