Date of Conferral
10-12-2026
Date of Award
October 2026
Degree
Doctor of Information Technology (D.I.T.)
School
Information Systems and Technology
Advisor
Jodine Burchell
Abstract
Information technology (IT) leaders are concerned that inconsistent governance-control adoption in cloud-based analytics platforms may increase risks related to data quality, security, privacy, compliance, accountability, and confidence in analytics-driven decisions. Grounded in the unified theory of acceptance and use of technology, the purpose of this quantitative correlational project was to examine the relationship between IT managers’ perceptions of perceived usefulness, perceived ease of use, social influence, facilitating conditions, and behavioral intention to use governance controls in cloud-based analytics platforms. The participants were 107 IT managers and similar technology professionals employed in the United States who completed an anonymous online questionnaire containing 20 five-point Likert-type items measuring the five project constructs. The multiple linear regression results were significant, F(4, 102) = 78.14, p < .001, R² = .75, with perceived usefulness and facilitating conditions emerging as significant predictors of behavioral intention. A key recommendation is for IT leaders to demonstrate the practical value of governance controls to the managers who apply them and to ensure that adequate resources, knowledge, technical infrastructure, and organizational support are available to sustain their use. The implications for positive social change include the potential for IT leaders to strengthen governance-control adoption, thereby improving responsible data management, reducing organizational risk, and supporting more trustworthy analytics for the organizations and communities that depend on data-driven decisions.
Recommended Citation
Kalu, Kelechi Christian, "The Relationship Between Information Technology Managers’ Perceptions and Behavioral Intention to Use Governance Controls in Cloud-Based Analytics Platforms" (2026). Walden Dissertations and Doctoral Studies. 20900.
https://scholarworks.waldenu.edu/dissertations/20900
