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This study aimed to investigate the factors that influencing the potential user's acceptance of Rocab mobile application for public transportation in Palestine.
This study adopts a quantitative method through 116 electronic questionnaires that developed based on innovation diffusion theory and technology acceptance model. The data were collected based on judgment sampling, which is a purposive sampling technique, meanwhile partial least squares structural equation modeling (PLS-SEM) analysis was conducted on data elicited from potential users using Smart-PLS analysis program.
The results showed that 66.3 percent of the variation in adoption of Rocab application can be explained by the structure model provided by this research. The results demonstrated that there is a significant effect of relative advantage, compatibility, complexity, and observability on perceived usefulness. The results also showed that the relative advantage, complexity, and observability have a significant effect on perceived ease of use, while compatibility effect on perceived ease of use was found not supported by the collected data. Additionally, perceived usefulness and perceived ease of use were both significantly related to attitude, and, in turn, attitude positively influenced future usage intention to use Rocab application. Overall, it was also found 74.59 percent of the respondents are willing to use Rocab application in the future.
The originality of this research lies in investigating empirically the factors that influencing the potential user's acceptance of Rocab mobile application for public transportation in Palestine which is rare in the literature. This will benefit researchers, business community as well as policy makers.
Copyright (c) 2020 Mousa Ajouz, Aseel Salhab, Aseel Idais
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.