This study addressed the problem of understanding administrators' perceptions of Internet of Things (IoT) adoption in higher education institutions in California. IoT is widely used in many industries worldwide, but its application in higher education is not as extensive. One of the most widely used methods of understanding perception for technology adoption is the Technology Acceptance Model (TAM). This study was conducted by sending an anonymous survey to higher education administrators in California. There were 68 responses, which fulfilled the suggested sample size for the study based on the power analysis performed by the researcher. Many of the survey questions were adapted from previous studies with similar backgrounds and results that supported their use in this study with minor adjustments to the wording. Two-way ANOVA was conducted on the data to determine the validity and reliability of the survey results. Regression analysis was utilized to determine if the independent variables have a statistically significant relationship to the dependent variable, the likelihood of IoT adoption. The study results show that three of the five independent variables had a statistically significant relationship with the independent variable, consistent with the literature reviewed by the researcher. The variables that did not have a statistically significant relationship with the independent variable were unsupported by the literature surrounding IoT in higher education and other industries. Further research on this topic can be conducted to expand beyond California's higher education and education at all levels. Additionally, this research can assist administrators in determining if IoT would be a potential solution for their institution by providing an overview of important factors for adoption. [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://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]