Off-campus WSU users: To download campus access dissertations, please use the following link to log into our proxy server with your WSU access ID and password, then click the "Off-campus Download" button below.

Non-WSU users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Access Type

WSU Access

Date of Award

January 2020

Degree Type

Dissertation

Degree Name

Ph.D.

Department

Instructional Technology

First Advisor

Ke Zhang

Abstract

This study investigated the acceptance of learning management systems (LMSs) across different higher education institutions in the United States by employing the Unified Theory of Acceptance and Use of Technology (UTAUT) model using multiple linear regression and ordinal regression. The results indicated that performance expectancy predicted behavioral intention and behavioral intention predicted use behavior, which is consistent with the original UTAUT findings by Venkatesh et al. (2003). Other constructs, effort expectancy, social influence, and facilitating conditions did not have an impact on the acceptance and use of the LMS. This study focused on three institution type categories, as doctoral universities, master’s colleges and universities, and baccalaureate and associate’s colleges based on Carnegie Classifications of Higher Education. Results indicated that the relationship between performance expectancy and behavioral intention was moderated by institution type. Further investigation of the results indicated that the relationship between performance expectancy and behavioral intention was positive for all institution types, such that the relationship was strongest for baccalaureate and associate’s colleges and for weaker master’s colleges and universities and for doctoral universities due to the changing work and performance expectations in those different contexts.

Download
Off-campus Download

Share

COinS