Government Cybersecurity Data Analytics System Success: An Exploratory Study of Technology and Organization

What is it about?

United States Government (USG) organizations rely on data analytics systems to uncover patterns and trends, driving effective resource allocation and fostering innovation. Equally critical is deploying cybersecurity data analytics systems (CDAS) to detect and counteract malicious activities proactively. Government organizations must abide by regulatory and executive branch mandates, which are custodians of sensitive data, national security information, and critical infrastructure. Ensuring this data's integrity, confidentiality, and availability is paramount to maintaining public trust and national security. This study addresses a crucial gap by empirically investigating the technological and organizational factors that impact the success of CDAS with USG agencies. Integrating the diffusion of innovation (DOI) and resource-based view (RBV) constructs, we explore the extent to which Compatibility (COMP), Trialability (TRI), Learning and Growth (LAG), and Internal Processes (IP) predict USG CDAS implementation success. Data collected from cybersecurity and information technology (IT) professionals were rigorously analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that COMP, TRI, LAG, and IP significantly enhance system success, underscoring the critical importance of these technological and organizational considerations. Our study highlights that robust organizational support and strategic processes are paramount to fortifying cybersecurity posture and sustaining competitive advantage, ensuring US government agencies' cyber resilience and security in an increasingly threat-prone environment. This study empirically examines government organizations and captures the perceptions of the cybersecurity and IT professionals that safeguard the nations against sophisticated cyber threats, protect sensitive information, and maintain the continuity of essential services, enhancing national security and public trust.

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Photo by Adi Goldstein on Unsplash

Photo by Adi Goldstein on Unsplash

Why is it important?

United States Government (USG) organizations rely on data analytics systems to uncover patterns and trends, driving effective resource allocation and fostering innovation. Equally critical is deploying cybersecurity data analytics systems (CDAS) to detect and counteract malicious activities proactively. Government organizations must abide by regulatory and executive branch mandates, which are custodians of sensitive data, national security information, and critical infrastructure. Ensuring this data's integrity, confidentiality, and availability is paramount to maintaining public trust and national security. This study addresses a crucial gap by empirically investigating the technological and organizational factors that impact the success of CDAS with USG agencies. Integrating the diffusion of innovation (DOI) and resource-based view (RBV) constructs, we explore the extent to which Compatibility (COMP), Trialability (TRI), Learning and Growth (LAG), and Internal Processes (IP) predict USG CDAS implementation success. Data collected from cybersecurity and information technology (IT) professionals were rigorously analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that COMP, TRI, LAG, and IP significantly enhance system success, underscoring the critical importance of these technological and organizational considerations. Our study highlights that robust organizational support and strategic processes are paramount to fortifying cybersecurity posture and sustaining competitive advantage, ensuring US government agencies' cyber resilience and security in an increasingly threat-prone environment. This study empirically examines government organizations and captures the perceptions of the cybersecurity and IT professionals that safeguard the nations against sophisticated cyber threats, protect sensitive information, and maintain the continuity of essential services, enhancing national security and public trust.

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