The Factors that Impact Generation X to Adopt Bring-Your-Own-Device within the Workplace:
[Thesis]
Simpson, Antonio
A Correlational Study
Skeide, Casey;Tynes, Vernon W
Capella University
2020
145
D.I.T.
Capella University
2020
The research in recent years on individual acceptance and the use of information technology is among the most established streams of information systems research in history. Moreover, studies on the adoption of innovative technology have suggested that employees must first use innovative technology for personal tasks before it can achieve the desired corporate outcomes, such as increased productivity and performance in the workplace. Although many contending models have been proposed and tested to predict and explain user acceptance of bringing your own device (BYOD), this study used the extended unified theory of acceptance and use of technology model to examine factors that predict Generation X (Gen X) to adopt BYOD within the workplace. The main objective was to determine to what extent the independent variables (BYOD's performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and behavioral intention) have influenced the dependent variable of an individual's age and gender to influence Gen X to adopt BYOD. The methodology adopted was a nonexperimental correlational study design. Quantitative data were collected using a structured online questionnaire from the selected sample. The target population was comprised of Gen X BYOD users aged between 34 and 54 years working within the United States. A random sample size of 111 participants was selected for the correlational study with an alpha of (.05), a confidence level of (.95), and effect size of (.3). Data was collected using the online SurveyMonkey platform. The data were transferred to a spreadsheet, and statistical analysis was performed using SPSS Version 24. Various statistical analysis tests were performed, including correlation tests, frequency statistics, and multiple regressions.