Date of Award

January 2016

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Educational Foundations & Research

First Advisor

Steven D. LeMire

Abstract

The adoption of Geographic Information Systems (GIS) Technology has been emerging in many professional work environments — including the property assessment discipline. Although many uses of GIS have been thoroughly documented throughout the literature in a variety of disciplines, there has been little research on the perceived factors that influence its adoption in professional work settings. The purpose of this research is to assess factors that influence the adoption of geographic information systems technology in a professional work environment. The work environment being studied is the property assessment profession. An online survey was sent out to property assessment professionals from around the United States and other countries that have access to International Association of Assessing Officers (IAAO) correspondence which collected data on constructs of perceived ease of use, perceived usefulness, efficiency, attitude, social influence, and intent to use GIS technology. A structural equation model was constructed based on an extension of the theoretical framework of the technology acceptance model (TAM). After minor revisions, the extended TAM accounted for 86% of the variance within the model indicating good fit in predicting assessment professional’s intent to use GIS technology. Additionally, perceived quality of training was found to be a significant determinant of success with regard to all adoption constructs, and simple GIS applications used for visualization and land records management were the most utilized in the field. With these findings, organizations such as the IAAO would be able to design best practices and educational opportunities within the professional work environment and provide adequate guidance and support. This in turn may produce a positive impact on the innovation and influx of GIS usage within the property assessment field to produce more accurate and equitable assessments.

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