CCE Theses and Dissertations

A Study of The Impact of Users' Involvement, Resistance and Computer Self-Efficacy on the Success of a Centralized Identification System Implementation

Date of Award


Document Type


Degree Name

Doctor of Philosophy (PhD)


Graduate School of Computer and Information Sciences


Yair Levy

Committee Member

Easwar Nyshadham

Committee Member

Junping Sun


A recent Presidential Directive (PD) mandated, as an IT requirement, that all government agencies establish a centralized identification management system. This study investigated the impact of user's involvement, computer self-efficacy and user's resistance on the success of a centralized identification management system. The research methodology proposed was a web-based survey approach conducted at NASA Langley Research Center. Information System (IS) use was the construct employed to measure IS implementation success.

The results of this study indicated a strong reliability for the measures of all constructs (users' involvement, computer self-efficacy, user's resistance, and system use). Two statistical methods were used to formulate models and test predictive power: Multiple Linear Regression (MLR) and Ordinal Logistic Regression (OLR). In both models (MLR and OLR), the User Involvement dimension had the highest predictor weight in predicting system use. This empirical study showed that success is related to user's involvement, computer self-efficacy and user's resistance. Results were consistent with prior literature demonstrating the partial model is also valid in new context such as government agencies

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