The case explored whether a novel design for a recycling bin could promote proper recycling behaviours in Singapore. The redesigned recycling bins were initially deployed at different sites around the National University of Singapore to assess their effectiveness among the university community, with promising results. The team now wanted to investigate whether the improved recycling habits observed on campus could be replicated in more diverse public environments, such as shopping malls. The decision for the team was how to implement a field trial of these bins across three shopping malls in Singapore to assess their effectiveness among the general population. The case underscored the importance of human and behavioural-centred design in promoting sustainable practices and discussed primary operational challenges, potential risks, and mitigation strategies to ensure a field study’s success.
This case focuses on the use of modern data analytics to alleviate crowding at the branches of United Overseas Bank, a full-service bank headquartered in Singapore. The case is set in 2020 against the backdrop of the COVID-19 global pandemic when vaccines were not yet available and social distancing was a key tool in the fight against the spread of the disease. How should the bank develop and deploy predictive analytics to accurately anticipate future branch crowds? How should the bank trade off key design considerations?
This case focuses on the use of modern data analytics to alleviate crowding at the branches of United Overseas Bank, a full-service bank headquartered in Singapore. The case is set in 2020 against the backdrop of the COVID-19 global pandemic when vaccines were not yet available and social distancing was a key tool in the fight against the spread of the disease. How should the bank develop and deploy predictive analytics to accurately anticipate future branch crowds? How should the bank trade off key design considerations?