This study aimed to develop and empirically validate an integrated model for continuous smart government service usage. This model integrates constructs from the unified theory of acceptance and use of the technology framework with the expectation-confirmation model, along with an additional construct: trust. Structural equation modeling (SEM) was used to analyze data collected via online questionnaires from 369 people who utilized smart government services in the United Arab Emirates. Next, an artificial neural networks model was used to rank the relative influence of the significant predictors identified through SEM analysis. The findings reveal that, among the significant predictors affecting the continuous use of smart government services, facilitating conditions, satisfaction, and perceived usefulness had the most substantial impact. Furthermore, this study highlights the direct influence of perceived usefulness, confirmation, facilitating conditions, effort expectancy, social influence, and public trust on citizen satisfaction.

This paper aims to develop an integrated model designed to predict and explain a customer behavior intention use of s-commerce based on the concepts of customer experience (CE) and expectation confirmation model (ECM). This paper proposes a comprehensive model to synthesize the essence of CE and ECM to describe customer behavior intention use of s-commerce. The participants are from 311 users of s-commerce as the final sample. Structural equation modeling is applied to demonstrate the stability of the proposed model and the results of hypotheses testing. This paper finds that costumer experience significantly influenced perceived usefulness, expectation and satisfaction, while the perceived usefulness and expectation simultaneously influenced customer satisfaction. Expectation also significantly influences motivator of perceived usefulness. Meanwhile perceived usefulness and satisfaction both significantly influence behavior intention use of s-commerce directly. There are some limitations in this study which should be improved in the future. Extended ECM is evaluated in a country setting, which limits generalizations.