An investigation on adoption of AI-enabled e-waste recycling kiosks in the post-pandemic era

Leveraging artificial intelligence-powered kiosks in e-waste recycling presents an efficient solution to address the pressing environmental concern of improper e-waste disposal.Therefore, this research aims to identify the key factors driving household consumers to embrace and utilise AI-enabled e-waste recycling kiosks.The conceptual model was empirically analysed using PLS-SEM with 2,750 survey responses from the household respondents.The results indicate that several factors, namely attitude, perceived behavioural control, societal norms, pro-environmental behaviour, and self-expressive benefits, are instrumental in influencing the intentions to adopt e-waste recycling kiosks by household consumers.These findings carry profound implications for society, emphasising the need to curtail e-waste and establish a sustainable circular economy.In this domain of consumer behaviour analysis, two novel additional constructs, self-expressive benefits, and pro-environmental behaviour are introduced to enhance the existing theory of the planned behaviour model.The current enriched model explores the intricacies of consumers' actions and the motivating factors driving their adoption and use of AI-enabled e-waste recycling kiosks, providing insights into this unexplored territory in the post-pandemic era.