TY - GEN
T1 - Towards Sustainable Higher Education Post the COVID-19 Pandemic in the UAE
AU - Al Kafri, Banan
AU - Shaya, Nessrin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The primary focus of the study is to investigate the maximum potential of mobile technology to achieve sustainable access to quality higher education by identifying the main determinants of mobile learning technology acceptance. The study proposes a theoretical model by applying the extended unified theory of technology acceptance (UTAUT) and examining the combined effect of quality factors (information quality and user interface) and psychological experience on students’ performance expectancy and effort expectancy, and ultimately on satisfaction levels and behavioral intention. An online survey was administered to 372 higher education students in the UAE, and structural equation modeling was used to analyze the data. The study’s main findings revealed that the study model had strong explanatory power for behavioral intention variance, signifying the powerful combined impact of quality, UTAUT, and psychological factors on students’ satisfaction and behavioral intention. Particularly, (1) satisfaction had a significant positive and robust impact on behavioral intention, (2) satisfaction was significantly and positively influenced by performance expectancy and perceived enjoyment; (3) effort expectancy and performance expectancy were significantly influenced by perceived enjoyment, and (4) performance expectancy had positive associations with information quality, and (5) user interface has a significant positive impact on effort expectancy. Given that mobile technology has been incorporated into higher education for two years now, identifying the determinants that are still significant for accepting innovative technologies will help sustain the future of higher education and provide insightful practical, and theoretical recommendations applicable to university stakeholders, developers, and scholars worldwide.
AB - The primary focus of the study is to investigate the maximum potential of mobile technology to achieve sustainable access to quality higher education by identifying the main determinants of mobile learning technology acceptance. The study proposes a theoretical model by applying the extended unified theory of technology acceptance (UTAUT) and examining the combined effect of quality factors (information quality and user interface) and psychological experience on students’ performance expectancy and effort expectancy, and ultimately on satisfaction levels and behavioral intention. An online survey was administered to 372 higher education students in the UAE, and structural equation modeling was used to analyze the data. The study’s main findings revealed that the study model had strong explanatory power for behavioral intention variance, signifying the powerful combined impact of quality, UTAUT, and psychological factors on students’ satisfaction and behavioral intention. Particularly, (1) satisfaction had a significant positive and robust impact on behavioral intention, (2) satisfaction was significantly and positively influenced by performance expectancy and perceived enjoyment; (3) effort expectancy and performance expectancy were significantly influenced by perceived enjoyment, and (4) performance expectancy had positive associations with information quality, and (5) user interface has a significant positive impact on effort expectancy. Given that mobile technology has been incorporated into higher education for two years now, identifying the determinants that are still significant for accepting innovative technologies will help sustain the future of higher education and provide insightful practical, and theoretical recommendations applicable to university stakeholders, developers, and scholars worldwide.
KW - Determinants of behavioral intention
KW - Higher education sustainability
KW - Mobile technology
UR - https://www.scopus.com/pages/publications/105021221096
U2 - 10.1007/978-3-031-92135-3_4
DO - 10.1007/978-3-031-92135-3_4
M3 - Conference contribution
AN - SCOPUS:105021221096
SN - 9783031921346
T3 - Advances in Science, Technology and Innovation
SP - 35
EP - 45
BT - Informatics, Technologies and Digitalization in the age of Transformation
A2 - Salman, Asma
A2 - Dahal, Niroj
A2 - Wood, Jacob
A2 - Abdul Razzaq, Muthanna
PB - Springer Nature
T2 - American University in the Emirates International Research Conference, AUEIRC 2022
Y2 - 22 May 2022 through 24 May 2022
ER -