Discovering the Role of M-Learning Among Finance Students: The Future of Online Education

Nadi, Armana Hakim; Hossain, Syed Far Abid; Hasan, Al; Sofin, Mahbuba Rahman; Shabab, Saadman; Sohan, Md. Ahmedul Islam; Yuan, Chunyun

doi:10.1007/978-3-031-18552-6_11

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Cited by 4 publications

References 54 publications

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Dropout Factors of English Mobile Learning among Chinese College Students based on UTAUT2 Model

Fang,

Zhao,

Gao

et al. 2023

Proceedings of the 7th International Conference on Education and Multimedia Technology

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Dropout Factors of English Mobile Learning among Chinese College Students based on UTAUT2 Model

Fang,

Zhao,

Gao

et al. 2023

Proceedings of the 7th International Conference on Education and Multimedia Technology

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Exploring the Impact of Device System Quality on Mobile Shopping Adoption among University Students: Symmetrical and Asymmetrical Approaches

Emmanuel,

Qin,

Hossain

et al. 2024

Sage Open

Self Cite

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Mobile shopping (m-shopping) adoption has been significantly touted in the contemporary era; however, the adoption of m-shopping is still under shadow in many developing countries. The aim of this study is to discover the impact of device system quality on m-shopping adoption among university students with the support of UTAUT and UTAUT2 theories. The study employed PLS-SEM (symmetric) and fsQCA (asymmetric) analysis simultaneously using survey data from 530 respondents who are primarily university students. PLS-SEM results found positive significant relation between device system quality and m-shopping adoption. The study contributes with an extention of earlier studies that combine PLS-SEM (symmetric methods) and fsQCA (asymmetric methods). The study is limited among the university students that may affect the generalizability of the study. The casual recipes in this research aid policymakers to achieve their strategic objectives in implementing positive m-shopping behavior among the university students.

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Philosophical and Psychological Dimensions of AI Integration in Sustainable Business Development

Kakon

2024

Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship

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This chapter critically explores how sustainable business development and artificial intelligence (AI) converge, examining their synergy, opportunities, and ethical challenges. It highlights the parallel growth of sustainable business and AI's impact on consumer behavior, emphasizing the crucial need to adeptly manage AI's functions and ethics in corporate solutions. It delves into diverse ethical frameworks and explores their guidance for integrating AI responsibly, aiming for sustainability and broader societal welfare. Additionally, it delves into Confucian ethics, organizational psychology, and leadership principles, uncovering human potential in the AI era. It advocates merging philosophy, psychology, and sustainable business practices to foster ethically sound and psychologically attuned AI systems for corporate use.

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Discovering the Role of M-Learning Among Finance Students: The Future of Online Education

Cited by 4 publications

References 54 publications

Dropout Factors of English Mobile Learning among Chinese College Students based on UTAUT2 Model

Dropout Factors of English Mobile Learning among Chinese College Students based on UTAUT2 Model

Exploring the Impact of Device System Quality on Mobile Shopping Adoption among University Students: Symmetrical and Asymmetrical Approaches

Philosophical and Psychological Dimensions of AI Integration in Sustainable Business Development

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