X. Zhang¹, H. Liu¹, Z. H. Liu¹, J. R. Ming^1,*, Y. Zhou²

Computer Systems Science and Engineering, Vol.46, No.1, pp. 357-369, 2023, DOI:10.32604/csse.2023.033251 - 20 January 2023

Abstract To meet the needs of today’s library users, institutions are developing library mobile apps (LMAs), as their libraries are increasingly intelligent and rely on deep learning. This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA. A research model was constructed based on the technology acceptance model. A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data. The analysis was based on structural equation modeling. The empirical results show that the… More >

Ahmad Althunibat^1,*, Mohammad Abdallah¹, Mohammed Amin Almaiah², Nour Alabwaini¹, Thamer Ahmad Alrawashdeh¹

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 865-880, 2022, DOI:10.32604/cmes.2022.019075 - 14 March 2022

Abstract In recent years, the telecommunications sector is no longer limited to traditional communications, but has become the backbone for the use of data, content and digital applications by individuals, governments and companies to ensure the continuation of economic and social activity in light of social distancing and total closure in most countries in the world. Therefore, electronic government (e-Government) and mobile government (m-Government) are the results of technological evolution and innovation. Hence, it is important to investigate the factors that influence the intention to use m-Government services among Jordan’s society. This paper proposed a new… More >