| In this dissertation, the researcher examined and added to the body of knowledge within the project change management field of technology implementation. The rationale behind the study was to evaluate technology acceptance of Enterprise Social Networking (ESN), which has been widely implemented across over 90% of the Fortune 500 companies but has adoption rates as low as 30%. Gaps in ESN studies include examining relationships of personality, age, gender, and technology acceptance. The research method included a multiple regression study using the stepwise method with a nonexperimental quantitative design. The purpose of the study was to examine the relationship, if any, between personality traits, age, gender, and technology acceptance of ESN users. The research methodology included two instruments: the technology acceptance model (TAM), which offers nine questions to determine ease of use, usefulness, and behavioral intention for ESN utilization, and the five-factor model (FFM), which holds 50 questions to determine personality traits of neuroticism, extraversion, openness, conscientiousness, and agreeableness. The population of the study included any ESN user of 18 years or older within the Qualtrics database; a disqualifying question ensured the targeted demographic are ESN users. The data analysis included an online survey, and scores from the instruments were summarized and added to SPSS for multiple regression. The results indicated FFM and TAM had relationships, suggesting FFM and TAM combined instruments are a viable change propensity tool when used with regression analysis. Age and gender were excluded variables from the multiple regression models using the stepwise method, which indicates personality traits are the best measure. |
