Beyond technology acceptance: Development and evaluation of technology-environmental, economic, and social sustainability theory

Artificial intelligence and sustainable development during the pandemic: An overview of the scientific debates

“…However, it doesn't fully address the broader impacts of emerging technologies on society, particularly within the context of sustainable development. To address this gap, Al-Emran introduced the Technology-Environmental, Economic, and Social Sustainability Theory (T-EESST) [ 24 ]. This innovative framework is designed to comprehensively evaluate the effects of technology across the three pillars of sustainable development: social, economic, and environmental.…”

“…Most investigations conducted so far have only focused on specific technologies or sustainability dimensions. Therefore, there is a critical need for research that employs these theoretical frameworks to comprehensively understand the complex relationship between AI and sustainable development [ 24 , 59 , 60 ]. As a response to this identified limitation, the present study aims to enrich the existing body of literature by incorporating T-EESST with TAM and related theories, thereby offering a nuanced investigation of AI technologies' impacts on sustainable development.…”

“…Despite recognizing adverse effects, studies concentrating on individual perspectives have predominantly displayed a positivity bias. Survey analyses focused on the academic field, students, and users of AI technologies [ [23] , [24] , [25] ]. These survey studies showed that individuals believe AI can positively influence sustainable development goals from the three pillars [ 23 , 24 ].…”

“…Survey analyses focused on the academic field, students, and users of AI technologies [ [23] , [24] , [25] ]. These survey studies showed that individuals believe AI can positively influence sustainable development goals from the three pillars [ 23 , 24 ]. This positivity bias in evaluating the impact of AI on sustainable development was also noticed by other authors who evaluated artificial intelligence as a favorable or inhibitory factor on sustainability and concluded that 79 % of sustainable development objectives are positively affected, while 35 % are negatively affected [ 9 ].…”

Factors affecting metaverse adoption in education: A systematic review, adoption framework, and future research agenda

“…The Metaverse offers a canvas for innovation across different sectors [ 42 ]. The use of immersive technologies, such as VR, MR, AR, and XR, has increased the popularity of the Metaverse in educational applications.…”