Document Type

Dissertation

Degree

Doctor of Business Administration

Major

Business Administration

Date of Defense

3-2-2025

Graduate Advisor

Dr. Trilce Encarnacion, PhD

Co-Advisor

Dr. Gerald Yong Gao, PhD

Committee

Dr. Trilce Encarnacion, PhD

Gao, Gerald Yong

Akenroye, Temidayo

Abstract

In this study, we explore the domain of geospatial analytics, focusing on how different geographic information systems (GIS) and technology solutions can better communicate and maximize interoperability. Central to our study is the impact of this interoperability on data integrity, which is critical for accurate decision-making in domains like urban planning, environmental management, and national security. Accurate decision-making requires modeling ecosystems that are easy to comprehend and are often intricate due to their physical or artificial nature and the diversity of geospatial parameters; therefore, it is essential to gather a comprehensive array of spatial and temporal measurements. We examine the mediation effect that UTTM has in improving the effectiveness of interoperability solutions, and how data complexity affects the reliability and accuracy of data integrity outcomes. Our approach integrates established theories from technology, innovation, and organizational management, enhancing the practical relevance of our findings within a geospatial analytics intelligence quotient framework. In the contemporary world, where data-driven approaches are prevalent, the importance of this research lies in avoiding faulty decision-making, which can have significant consequences across different industries and organizations. Trust in data quality is crucial. With a focus on making complex technical concepts accessible and easy to comprehend, this study intends to contribute valuable insights to enhance the data integrity of geospatial analytics, providing a foundation for informed decision-making in various critical domains.

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