Abstract

The purpose of this research study was to understand and identify the key factors that affect faculty’s behavioral intention of using a learning management system. This research study adopted the Technology Acceptance Model 3 (TAM3) as the theoretical foundation and extended it by adding management support as an exogenous variable based on the recommendations from previous research studies. Technology Acceptance Model 3 is the latest iteration of Technology Acceptance Model – a widely adopted research framework for studying users’ acceptance of technology. It provides a comprehensive network of determinants of technology adoption and use. A survey questionnaire with 54 measurement items was used to measure the 15 construct variables proposed in the research model. Path analysis was performed on the data collected from 105 faculty members, who were teaching at a metropolitan university located in Taipei City, Taiwan. The goodness of fit indices indicated that the initial research model did not fit the data, and adjustments were made based on the suggestions from the modification indices. The revised research model had a much improved and more acceptable model fit than the initial research model. The final results of this research study revealed a much more complex map of relationships among the construct variables than what was proposed in the initial research model. First, as evidenced by other researchers, perceived ease of use, perceived usefulness, subjective norm, and the interaction between subjective norm and voluntariness were significant determinants of behavioral intention. Second, subjective iv norm, image, job relevance, the interaction between job relevance and output quality, and computer playfulness were the significant determinants of perceived usefulness. Third, computer playfulness, perceived enjoyment, and image were the only three significant determinants of perceived ease of use. Lastly, management support along with a list of other variables jointly determined perceptions of external control, subjective norm, image, job relevance, result demonstrability, and the interaction between job relevance and output quality.

Notes

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Graduation Date

2011

Semester

Fall

Advisor

Sivo, Stephen

Degree

Doctor of Philosophy (Ph.D.)

College

College of Education and Human Performance

Degree Program

Education; Instructional Technology

Format

application/pdf

Identifier

CFE0004478

URL

http://purl.fcla.edu/fcla/etd/CFE0004478

Language

English

Release Date

6-15-2017

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Open Access)

Subjects

Dissertations, Academic -- Education, Education -- Dissertations, Academic

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