The effects of ethnicity, age, gender, and education on the adoption of mobile computing: A correlational study

Mobile computing is the use of portable computing devices along with mobile communication technologies to enable individuals to access the Internet and data on their home or work computers from anywhere in the world. Mobile computing reached a tipping point in 2014 by solidifying its place as one of the most disruptive technologies in decades for businesses. Given the growth of mobile computing and the need for people to adopt this technology, the intent of this research is to demonstrate the effect of ethnicity, age, gender, and education on the adoption of mobile computing by people. The purpose of this study is to help businesses understand the demographics of individuals that may be less inclined to adopt and use mobile computing, so they can design training and marketing activities targeting these individuals. The theoretical framework for this research study will be based upon the technology acceptance model (TAM). This research study used a non-experimental, correlational research design to answer the four research questions. This research study used descriptive and inferential statistics as the data analysis methodology. The target population for this study was individuals over the age of 21. The instrument used for this study was developed by Paquet, and was based on the technology acceptance model developed by Davis. The results of the correlation analysis showed a positive correlation between ethnicity, gender, education, and adoption of mobile computing, but the result was not statistically significant. The results of the correlation analysis showed a negative correlation between age and adoption of mobile computing, but the result was statistically significant. The results of the multiple regression analysis showed that ethnicity and gender do not influence the adoption of mobile computing. The results of the multiple regression analysis showed that age and education does influence the adoption of mobile computing. The results of the study revealed that age and education influence the adoption of mobile computing.