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• W4387433335 startingPage "102383" @default.
• W4387433335 abstract "Cutting-edge technologies play a pivotal role in achieving the three pillars of sustainable development: environment, economy, and society. These technologies might have positive or negative impacts on sustainable development. While IS theories, such as TAM, UTAUT, and UTAUT2, have provided invaluable insights into the determinants of technology adoption and use, they overlooked the subsequent impacts of technology use. From the sustainability perspective, this necessitates a holistic theoretical framework that goes beyond existing IS theories/models by examining the direct effect of technology use on environmental, economic, and social sustainability. Therefore, we developed the Technology-Environmental, Economic, and Social Sustainability Theory (T-EESST) in this research. T-EESST extends beyond existing IS theories by linking technology use to the three dimensions of sustainability. Due to its inclusivity of all facets of sustainability, the Metaverse is selected as a case study to evaluate the T-EESST. The data collected from a survey of 311 Metaverse users provided empirical support for T-EESST. The results showed that technology use significantly impacts environmental, economic, and social sustainability. The T-EESST contributes significantly to the IS and sustainability literature by bridging the gap between technology acceptance models and sustainability. The study offers practical implications for policymakers, decision-makers, developers, designers, service providers, and practitioners. It also provides numerous research directions as a road map for future extensions to T-EESST." @default.
• W4387433335 created "2023-10-09" @default.
• W4387433335 creator A5006979108 @default.
• W4387433335 date "2023-11-01" @default.
• W4387433335 modified "2023-10-09" @default.
• W4387433335 title "Beyond technology acceptance: Development and evaluation of technology-environmental, economic, and social sustainability theory" @default.
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• W4387433335 doi "https://doi.org/10.1016/j.techsoc.2023.102383" @default.
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