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Purpose – The aim of this study is to investigate the factors affecting the net benefits and change in user behaviour in a technology push scenario in Smart Cities. Design/methodology/approach –The research was conducted using a quantitative approach. Hence, quantitative data was obtained by devising and distributing a questionnaire adapted from the literature to serve the purpose of this research. Data was analysed by using SmartPLS software, since this tool allowed for the creation of a Structural Equation Modelling (SEM). Contributions –The research is expected to help foster an understanding of the factors affecting citizens’ satisfaction with technology-supporting smart cities. The focus of this research was on the scenario where technology was introduced by the government to support the development of smart cities, and where citizens ‘do not have a choice’ and are ‘pushed’ to use them. The research contributes a model for assessing the role of satisfaction in enhancing the net benefits of smart city technologies on the lives of citizens, as well as the change in individuals’ behaviour towards smart city technologies when they are ‘pushed’ for use. The findings provided insights to enable policy makers to implement smart cities in developing countries while ensuring the satisfaction of the users. Originality/value – The originality of this research is centred around determining how satisfied citizens are with smart cities and the net benefit of smart cities within a developing country (Kuwait) context. The research is also unique in that it examines the role of citizens’ satisfaction in changing their behaviour towards ‘push’ technology within smart cities. Theoretical Contributions – This study examined the factors that led to acceptance of smart cities in Kuwait. Hence, this study used the theories related to user acceptance of technology and added to its trust in provider. Previous studies have examined trust as a broad concept. Moreover, this study incorporated the push theory and also examined the change in user behavior, which was not examined in earlier studies.

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