This research aims to explore ways in which employees who are low on positional power in an organisation can speak up or act when they witness moral transgressions in the workplace. One way to do so is by increasing employees’ personal power by increasing (a) others’ liking towards them, (b) others’ dependence on them, and (c) their centrality in formal and informal networks in the organisation. The research team will conduct both surveys and experimental studies in multiple countries to test their proposed model.
This project aims to show how an innovative multiple speed assessment approach permits more comprehensively assessing a key 21st century skill such as adaptability, and demonstrate that multiple speed assessment has added value over prior adaptability measurement approaches.
The project targets to improve the operational efficiency and medical decision outcomes in the intensive care units (ICUs) by leveraging healthcare data collected in the ICUs and advance data analytics techniques. The team aims to first focus on the extubation decision by extending existing predictive models that only predict the current risk of extubation failure to also predict the risk of extubation failure in the failure. Next, the team will develop a new decision-making framework that provides comprehensive decision support for extubation utilizing the predictive information to generate better early extubation recommendation for individual patients. Lastly, the team will investigate the other ICU applications (RRT and ICU discharge) to test and validate the generalizability of the methodologies developed.
Understanding what consumers want in experiential products and services is a fundamental challenge for businesses catering to the emerging ‘experience economy’. The proposed research aims to use state-of-the-art artificial intelligence (AI) and language processing methods to develop a novel method for assessing consumer preferences for experiential products and services. The proposed method will address current challenges to existing market research methods in measuring consumer preferences for experiential products and services. Our approach will enable closed-loop, real-time analytics for Singapore-based businesses in the entertainment, hospitality, and tourism industries, and beyond.
This research project aims to find out how thermal environment impacts the effectiveness of environmental/educational message retention by guests visiting current parks in the Mandai district – Singapore Zoo, Night Safari, River Safari, and will allow the research team to formulate suggestions that will help inform how and where educational messages can be deployed for maximum effectiveness within the new features of the Mandai project.
In response to sentiments that Asians are not giving enough, this research aims to provide a comprehensive overview of philanthropy in Asia through Asia-focused lenses of review. By examining issues such as motivations for giving, structures of giving and modes of governance in Asia, this research will extract fresh insights on Asian way of giving and explain how it differs from Western trends. This research will also propose innovative reforms to facilitate a sustained culture of giving in Asia, where everyone in the society is motivated and empowered to give for worthy causes.
This project aims to optimise response of fire engines and ambulances to medical and fire incidents in a prioritised manner.
Awarded under MOE's Academic Research Fund Tier 3, the funding extends the existing Tier 3 project for one year.
Awarded under the Microsoft Research Asia Collaborative Research Program 2019, this project aims to extend existing video analytics solutions to be able to process videos of people entering a building and automatically classify them into different categories, in real-time and with as minimal prior knowledge of the people as possible.
This project evaluates the effectiveness of training employees with Mindfulness/Loving-Kindness at Rakuten Institute of Technology (RIT). SMU (through the Mindfulness Initiative @ SMU) will work with RIT on (1) the design and methodology of the research study; (2) the training interventions used for mindfulness and compassion; (3) and the measurement of all study variables. SMU will also conduct statistical analyses of the study data and provide RIT with anonymised raw data and collaborate in publishing an academic paper(s) of the study findings. The findings will be shared with the scientific community through presentations, academic papers, and practitioner articles.
