Though the Paris Agreement came into effect in 2016 to unite all nations to act now to achieve carbon-neutral earth by 2050, devastating climate change effects are increasing globally. Despite the renewed hope of international collaboration led by superpowers, concerted efforts are critically needed now to transform our current production and consumption modes to achieve the targeted carbon emission reductions. Personal motivators, coupled with team efforts, are needed even more so now to augment policies to nudge one toward living more sustainably to make a carbon-neutral world a reality in 2050. This thesis thus aimed to build a contextual influence model and contribute a framework to integrate theory and practice to identify contextual influences that can be used to effectively nudge one to willingly recycle as a pragmatic approach to minimise the post-consumption harm on the environment. The model was developed to identify the drivers for adults to recycle, with a secondary focus on the youth respondents who were identified as potential concerns or game changers in ensuring environmental sustainability.Adopting a system perspective, the influences on one's recycling behaviours were investigated at three levels for an exploratory case study to validate the contextual influence model. Starting from the policy level, educational activities, recycling infrastructure, and the use of information and communication technology (ICT) and media were hypothesized to introduce contextual influence on the individuals to recycle. All three theoretical constructs from the self-determination theory -basic psychological needs theory (SDT-BPNT), the subjective norms and controllability component constructs from the theory of planned behaviour (TPB), were selected with the collective efficacy construct, to measure the personal and people levels of influences on the adults to recycle. Financial factors and influences introduced by people and organisations interacting with the individuals were included as personal and people levels of influences respectively to enable a deeper understanding of the context at both levels. After completing the pre-test and pilot surveys in 2020, an online questionnaire survey was conducted by a commercial research company, engaged to gather response from December 2020 to March 2021 in Singapore to establish the relative strengths of each construct as the hypothesized recycling behavioural antecedents in the contextual influence model (N=700).