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Integrating Technological Acceptance Model and End-User Computing Satisfaction to Explain the Intention to Continue using Car Navigation Systems in UAE
Author(s) -
Salem Alkutbi,
Ibrahim Alrajawy,
Ali Ameen,
Ahmed Hamoud Al-Shibami,
Amiya Bhaumik
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1113.0982s1019
Subject(s) - technology acceptance model , variance (accounting) , usability , computer science , structural equation modeling , affect (linguistics) , knowledge management , human–computer interaction , psychology , business , machine learning , accounting , communication
This research uses modelling of structural equations via PLS to assess the 167 suitable questionnaires so as to evaluate the recommended model that utilizes the technology acceptance model TAM and end-user computing satisfaction theories to identify factors that affect driver intention to continue using car navigation systems among UAE’s drivers with private licenses. The research will describe relationships among accuracy, content, format, timeliness, ease of use, perceived usefulness, and intention to continue using car navigation systems. Our efforts have improved our understanding of the use of satellite navigation technology. Results suggested that all seven hypotheses are supported. The recommended model also clarified 20% of the variance in the intention to continue using car navigation systems.

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