This research examined the factors that predict intention to integrate technology into instruction by community college adjunct faculty. For this study the integration of technology was defined as beyond simple occasional use, within the next academic year. The decomposed theory of planned behavior was tested for its predictive ability with this specific population. The decomposed theory of planned behavior measures the strength of defined constructs as predictors of intention to perform a certain behavior. Additionally, this study explored the influence of demographic characteristics on the intention to integrate technology for instruction by community college adjunct faculty. A survey instrument was developed and tested to collect data related to specific factors. Multiple regression was used to analyze the predictive ability of each construct in the decomposed theory of planned behavior on the outcome variable. In addition, multiple regression with categorical variables was used to analyze the predictive ability of each demographic characteristic on behavioral intention. Findings indicated that the decomposed theory of planned behavior was useful in explaining much of the variance in the intention to integrate technology into teaching by community college adjunct faculty. In addition, results suggested the demographic characteristics examined in this study were only minimally predictive of behavioral intention to integrate technology into teaching by community college adjunct faculty. Implications for instructional technologists at community colleges include that professional development programs should be designed based on the significant predictors in the decomposed theory of planned behavior model. The results also suggest that community college administrators can play an important role toward increasing technology integration by adjunct faculty through leveraging types of influence in support of behavioral intention. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]