Abstract

This research focuses on identifying continuous usage intentions before and after the product adoption phase. A theoretical model was developed, specifying continuous usage intentions and user behavior throughout the product adoption life cycle. The proposed model considers users' characteristics, product quality, sociocultural factors, and continuous usage intention factors, which were obtained from previous studies related to technology acceptance models and continuous usage. The relationship between these factors was analyzed, hypotheses tests to verify the relationships were conducted, and the proposed model was confirmed. Quantitative data were collected using a survey targeted at smart phone users. Data analysis verified the continuous usage model using structural equation modeling. The results from before and after the product adoption phase showed that previous usage experience affects users' characteristics, perceived usefulness, and social factors. The data proved causality between user satisfaction, attachment, commitment, and continuous usage intention after the adoption phase. The relationship between the factors and the model itself was verified statistically, providing insight into the adoption–diffusion–usage perspective with regard to the interaction between user and high-tech product.

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