Social and Behavioral Sciences Commons^™

What Does It Take To Make Housing Affordable?, Sock Yong Phang

Asian Management Insights

Professor Phang Sock Yong’s body of work has shaped conversations around housing affordability both in Singapore and abroad—helping policymakers manage land, supply, finance and market rules as one integrated system.

Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng

Research Collection Lee Kong Chian School Of Business

Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …

When Performance Is Not Enough: Managing Ngos In An Age Of Digital Mistrust, Christianna Sirindah Parr

Asian Management Insights

As NGOs lack formal authority, their influence depends on legitimacy, which can be contested at scale online. Leaders must treat social media as a governance decision, with clear scope, speaking authority and response protocols.

Corporate Response To The Black Lives Matter Movement: Determinants Of Speaking Out In Support Of Social Causes, A. J. Yuan Chen, Patricia M. Dechow, Samuel T. Tan

Research Collection School Of Accountancy

We document that firms vary in their timeliness of support for the Black Lives Matter (BLM) movement following the death of George Floyd in May 2020, and that timeliness is an indicator of authenticity. We predict that firms that speak out quickly in support of BLM (via Twitter or their websites) have made more investments in diversity and inclusion, relative to firms that speak out slowly (via conference calls or annual reports) or that remain silent. Consistent with this prediction, quick-disclosing firms have greater workforce diversity, have boards with greater ethnic diversity, and are more likely to tie executive compensation …

The Impact Of Mortality Awareness On Task And Relationship Leadership Styles, Sang Yeol Lee

Dissertations and Theses Collection (Open Access)

In current organizational management practice, the question of how leaders can transform the universal awareness of human finitude into constructive leadership is an issue that embodies both profound humanistic concern and significant managerial implications. Based on transcendence management theory and leadership style theory, this study explores how mortality awareness affects leaders’ task orientation and relationship orientation styles, revealing its underlying mechanisms and boundary conditions. By conducting a three-wave, matched-pair questionnaire survey involving 203 enterprise managers and their subordinates, the theoretical hypotheses were tested. The findings are as follows: First, mortality awareness has a significant direct positive effect on both task-oriented …

Fixed Effects Estimation Of Spatial Panel Model With Missing Responses: An Application To Us State Tax Competition, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider estimation and inferences for general spatial panel data models with randomly missing observations on responses. It allows for unobserved spatiotemporal heterogeneity, time-varying endogenous and contextual spatial interactions, time-varying cross-sectional error dependence, and serial correlation. A general M-estimation method is proposed for model estimation and a novel corrected plug-in method is proposed for model inference. Both take into account the estimation of fixed effects. Asymptotic properties of the proposed methods are studied, and finite sample properties are investigated. An empirical application is given using U.S. state tax competition data. The proposed methods apply to matrix exponential spatial specification and …

Smu Launches Longevity Societies And Economies Institute To Advance Knowledge And Innovation For Singapore’S Longevity Transition, Singapore Management University

SMU Press Releases and News

Singapore Management University (SMU) launched the SMU Longevity Societies and Economies Institute (LSEI) which will focus on the economic and societal transitions needed for economies and societies to continue thriving despite an ageing population. The new institute will consolidate SMU’s ageing-related research and drive an interdisciplinary agenda to build resilient and opportunity-rich longevity societies and economies.

Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships, Praveen Teleti, Ed Hawkins, Clive Wilkinson

Research Collection College of Integrative Studies

Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, …

Advancing The Understanding Of Palliative Care In Singapore: Knowledge, Attitudes, Receptiveness, And The Moderating Role Of Media Information-Seeking Preferences, Su Lin Yeo, Angel Lee, Raymond Han Lip Ng, May O. Lwin, Yumin Lin

Research Collection Lee Kong Chian School Of Business

Introduction: Despite the growing demand for palliative care, this specialized medical care remains severely underutilized, with almost 50% of countries worldwide lacking access. Given that misperceptions and stigma continue to hinder progress in healthcare policy, this study aims to examine the relationships between palliative care knowledge, attitudes, and receptiveness to better understand how public health communication can enhance awareness and understanding of the topic in Singapore. Applying the adapted knowledge-attitude-practice (KAP) model, it further extends theory by examining the moderating role of media information-seeking between knowledge and receptiveness.Methods: Mixed-mode surveys involving 1,226 participants (926 online and 300 in-person respondents), representing …

Think First, Chatgpt Later: Guiding Human-Ai Collaboration For Learning Gains In Independent Human Creativity, Sarah Shi Hui Wong, Sophia Xuefei Qiu

Research Collection School of Social Sciences

Generative artificial intelligence (AI) tools such as ChatGPT can boost creative performance, but do these boosts translate into learning gains? This study examined whether the benefits of ChatGPT for creativity persist even when its assistance is removed, and how people can effectively use ChatGPT to enhance their learning and independent creativity. University students (N = 196) solved a creative product improvement task either independently (human-only group) or using ChatGPT freely (general-AI group) or using ChatGPT in a guided way (regulated-AI group). Specifically, the regulated-AI group used a novel “think first, ChatGPT later” approach—they first generated their own ideas, then collaborated …

The Citizen And The Smart City: A Global Comparison Of Institutional Logics, Tim Bunnell, Zachary Spicer, Byron Miller, Teresa Abbruzzese, Paolo Cardullo, Sangwon Chae, I-Chun Catherine Chang, Greig Charnock, Ming-Kuang Chung, Kwon Heo, Sue-Ching Jou, Andrew Karvonen, Olga Kordas, Kong, Lily, Ramon Ribera-Fumaz, Haeran Shin, Orlando Woods

Research Collection College of Integrative Studies

Crucial urbanists’ placement of smart city initiatives in Western Europe or North America mostly on the “low” rungs of participatory ladders or scaffolds does not mean that smart urban development necessarily connotes democracy-eroding neoliberalization everywhere. This article offers a more globally variegated and dynamic understanding of the relationship between citizens and smart cities. We apply an institutional logics framework to the citizen-smart city nexus in seven cities spanning three world regions, considering the interplay of citizen-centric logics with techno-innovation-oriented and bureaucratic/managerial logics. Appreciating contextually specific institutional orders helps to explain why similar initiatives and intentions yield different outcomes across time …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

Genuinely Unbalanced Spatial Panel Data Models: Fixed Effects M-Estimation And Inference, Xiaoyu Meng, Zhenlin Yang

Research Collection School Of Economics

We consider spatial panel data models with genuine unbalancedness arising from the non-presence of some spatial units in certain time periods. General M-estimation methods are proposed for model estimation, which take into account the estimation of the incidental fixed effects parameters and allow for spatiotemporal heteroskedasticity and high-order time-varying spatial effects. Corrected plug-in methods are proposed for standard error estimation. The proposed estimation and inference methods are rigorously studied for their asymptotic properties and finite sample performance. An application to China’s provincial FDI inflows shows that properly accounting for genuine unbalancedness uncovers significant positive spatial spillovers that are masked when …

Sequencing Dengue Control Policy In Singapore: An Evolutionary Perspective For Policy Design, Ishani Mukherjee, Panchali Guha

Research Collection School of Social Sciences

About half the global population is now at risk of contracting dengue, a mosquito-borne viral infection that can cause severe morbidity and fatalities. Effective dengue control depends on controlling the mosquito vector, but finding the right mix of vector control policies has proved challenging. Using a content analysis of 208 Hansard records from parliamentary proceedings in Singapore, where dengue outbreaks have significantly increased in both frequency and magnitude since the early 1990s, we trace the processual evolution of Singapore’s anti-dengue policy mix from 1960 to 2023 and conclude that the evolution of dengue control policies is consistent with a customized …

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

Unraveling The Intractable Trilemma In Urban Weather And Climate Modeling, Peiyuan Li, Ashish Sharma, Rao Kotamarthi, Alberto Martilli, Subimal Ghosh, Cristina Negri, Scott Collis, Lee Chapman, Fei Chen, Luis M. A. Bettencourt, Winston T. L. Chow

Research Collection College of Integrative Studies

Urban weather and climate modeling is constrained by the highly heterogeneous and dynamic nature of cities. It exhibits a persistent trilemma between spatial granularity, spatiotemporal coverage, and physical interpretability. We articulate this challenge and propose a hybrid framework that integrates physics -based models, urban observations, and machine learning. Framing urban modeling as an integration problem across methods and scales, we provide a structured guide for next -generation, decision -relevant urban climate capabilities.

A Market Of Care Skills: Profiting From Professional Education And Practice, Yasmin Y. Ortiga

Research Collection School of Social Sciences

Who profits from the commodification of care and how does such accumulation occur? Focusing on the case of the nursing care market, this paper shows how professional schools and local hospitals within source nations like the Philippines profit from nurses seeking the credentials to qualify for jobs overseas. While existing studies show how nursing skills are exploited and undervalued, this paper argues that it is the process of skilling itself that allows for the accumulation of profit, regardless of whether nurses leave their origin countries to work abroad. This study reveals how global care economies are tightly linked to local …

Examining The Well-Being And Ill-Being Correlates Of Prioritizing Positivity And Investigating Ses As A Moderator, Lahnna I. Catalino, William Tov, Madeline Q. Hoorn

Research Collection School of Social Sciences

Prioritizing positivity is the tendency to use positive emotions as a key criterion to structure daily life. Research shows that prioritizing positivity is associated with better psychological health. However, none of this research was preregistered and prioritizing positivity’s links with ill-being remain understudied. In five preregistered studies (Sample A: n = 388, Sample B: n = 214, Sample C: n = 301, Sample D: n = 290, Sample E: n = 453), we found that prioritizing positivity was associated with more well-being (positive emotions, satisfaction, meaning), less ill-being (negative emotions, depressive symptoms, anxiety), and more hypomania, a mixed construct. We …

Digital Storytelling For Institutional Memories: Lessons From Smuseum, Salihin Mohammed Ali

Research Collection Library

Agenda

• Setting the Context

• Case Study: SMUseum

• Governance & Collaboration

• Insights from Regional Practice

• Practical Takeaways

High-Frequency Functional Trajectories Predict Depressive Worsening In Singapore's Community-Dwelling Older Adults, Kaung Htet Tun Salai, Yi Wen Tan, Grace Cheong, Paulin T. Straughan

ROSA Journal Articles and Publications

Background/Objectives: Functional difficulty and depression often coexist in older adults, yet local Singapore-based research often lacks detailed temporal resolution due to heterogeneity in ageing. This study employs non-parametric, data-driven longitudinal clustering to analyse functional trajectories and their association with depression, using high-frequency data to pinpoint key intervention periods. Methods: Data were drawn from 4273 community-dwelling older adults from Singapore Life Panel^® (2020–2024). Participants completed quarterly self-reported assessments of ADL, IADL and depressive symptoms (8-item CES-D). We employed k-means longitudinal clustering (kml) to identify functional trajectory groups and Cox regression to evaluate the hazard of increased depression (≥5-point increase in …

Using Large Language Models To Analyze Political Texts Through Natural Language Understanding, Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma

Research Collection School of Social Sciences

Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text-as-data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitative and quantitative approaches by using LLMs to interpret texts meaningfully rather than as mere data. Our ensemble means of LLM-generated estimates of party positions on six key issue dimensions correlate highly with equivalent mean ratings by country specialists. When …

Knowledge Of Lifespan And Healthspan And Interest In Healthy Longevity Medicine Among The General Population In Singapore: The Singapore Healthy Longevity (Helo) Survey, Jonas John Posko Amalaraj, Belinda Wang, Anna Szucs, Louis Island, Laureen Yi-Ting Wang, Liz J. Horberg, Paul A. O'Keefe, Sonny Rosenthal, Yap-Seng Chong, Johannes J. Meij, Andrea B. Maier

Research Collection College of Integrative Studies

Given the growing global interest in Healthy Longevity Medicine (HLM), the field lacks understanding about public knowledge and interest, which are crucial for any public health intervention relying on HLM. This study presents findings from the Healthy Longevity (HELO) survey conducted in Singapore, assessing public knowledge regarding lifespan (number of years a person is alive), healthspan (number of years a person spends in good health), and interest in HLM. This nationwide cross-sectional survey, conducted between June and August 2024, involved 3034 participants. Main domains including questions on demographics, living arrangements, medical information, health behaviours, income and financial status were tested …

Improving Public Transport Through Machine Learning Influence Flow Analysis (Mifa): Southern England Bus Case Study, Benjamin Lee, Wolfgang Garn, Masoud Fakhimi, Nick F. Ryman-Tubb

Research Collection School Of Accountancy

Public transport (PT) is crucial for enhancing the quality of life and enabling sustainable urban development. As part of the UK Transport Investment Strategy, increasing PT usage is critical to achieving efficient and sustainable mobility. This paper introduces Machine Learning Influence Flow Analysis (MIFA), a novel framework for identifying the key influencers of PT usage. Using survey data from bus passengers in Southern England, we evaluate machine learning models. Subsequently, MIFA uncovers that easy payments, e-ticketing, and mobile applications can substantially improve the PT service. MIFA’s implementation demonstrates that strength and importance lead to specific insights into how service characteristics …

Gen Z Employees’ Characteristics And Their Impacts On Work Motivation And Outcomes: A Comparative Study Of Private Firms And State-Owned Enterprises In China, Yanfang Zheng

Dissertations and Theses Collection (Open Access)

This study examines the characteristics of Generation Z (Gen Z) employees and investigates how these traits influence work motivation and job-related outcomes within the Chinese organizational context. Specifically, the research compares employees working in state-owned enterprises (SOEs) and private firms, two dominant but structurally distinct organizational forms in China. Drawing upon self-determination theory, generational cohort theory, and organizational behavior literature, the study proposes a conceptual model in which Gen Z characteristics influence job outcomes both directly and indirectly through intrinsic and extrinsic motivation, with organizational type acting as a moderating variable. A quantitative, multi-source survey design was employed. Data were …

The Impact Of Job Demands On Work And Family Outcomes Among Healthcare Workers In China: The Moderating Effect Of Gender And Professional Identity Integration (G-Pii) And Communal Orientation, Wei Zhou

Dissertations and Theses Collection (Open Access)

Long work hours, emotional strain, and stress are just a few of the high demands placed on healthcare workers in China, which have led to occupational burnout, tension between job and family, and worse health. This research investigates the relationship between job demands and burnout via the lens of the Job Demands-Resources model and social identity theory, work-family balance, subjective well-being, and career commitment among Chinese healthcare workers. We focus on the moderating roles of gender and professional identity integration (G-PII) and communal orientation. In a two-wave investigation, 317 medical professionals from different Chinese hospitals took part. Hierarchical regression studies …

Art Pricing And Anti-Corruption Campaigns: Evidence From Repeat Sales Of Chinese Paintings, Yihan Wang

Dissertations and Theses Collection (Open Access)

My dissertation investigates the impact of China’s anti-corruption campaign on the pricing of traditional Chinese paintings, leveraging a unique dataset of repeat sales transactions. Since the 1990s, China’s art market has experienced explosive growth, becoming the world’s largest by 2011. However, this market is characterized by extreme opacity, facilitating elegant bribery (“ya hui” in Chinese), where artworks serve as vehicles for implicit corruption through inflated auctions or disguised gifts to officials. The launch of the "Eight-point Regulation" in December 2012 marked a significant intensification of anti-corruption efforts, raising the critical question of how such political shocks affect asset pricing in …

China And International Economic Dispute Settlement: Disaggregating The State, Gregory Shaffer, Ji Li, Henry S. Gao

Research Collection Yong Pung How School Of Law

Most studies take a unitary state-centric approach to assessing China’s relationship with international economic law. In contrast, we provide a more nuanced approach that assesses variation in China’s engagement. We examine the role of different Chinese state and non-state actors, considering their interests, ideological frames, institutional contexts, and relation to state power. We illustrate our analytic framework by examining China’s response to and engagement with international dispute settlement systems in three areas: international commercial arbitration, international trade dispute settlement, and investor–state arbitration. Our approach is important for global cooperation in discrete policy areas so that the West does not ‘other’ …

Comprehensively Evaluating The Perception Systems Of Autonomous Vehicles Against Hazards, Xiaodong Zhang, Jie Bao, Jianlei Chi, Jun Sun, Zijiang Yang

Research Collection School Of Computing and Information Systems

Perception systems are vital for the safety of autonomous driving. In complex autonomous driving scenarios, autonomous vehicles must overcome various natural hazards, such as heavy rain or raindrops on the camera lens. Therefore, it is essential to conduct comprehensive testing of the perception systems in autonomous vehicles against these hazards, as demanded by the regulatory agencies of many countries for human drivers. Since there are many hazard scenarios, each of which has multiple configurable parameters, the challenges are (1) how do we systematically and adequately test an autonomous vehicle against these hazard scenarios, with measurable outcome; and (2) how do …

High Dimensional Regression Coefficient Test With High Frequency Data, Dachuan Chen, Long Feng, Per A. Myklang, Lan Zhang

Research Collection School Of Economics

This paper presents the first study on high-dimensional regression coefficient tests with high-frequency financial data. These tests allow the number of regressors to be larger than the number of observations within each estimation block and can grow to infinity in asymptotics. In this paper, the sum-type test and max-type test have been proposed, where the former is suitable for the dense alternative (many small betas) and the latter is suitable for the sparse alternative (a very small number of large betas). By showing the asymptotic independence between the sum-type test and max-type test, the paper proposes a third test – …

Expanding Public Health Insurance To Parents: Effect On Parents' And Children’S Well-Being, Michelle Marcus, Xuan Zhang

Research Collection School Of Economics

Expanding public health insurance to parents may not only improve parental outcomes but also have spillover effects on their children. This paper leverages the natural experiment of the Affordable Care Act (ACA) to estimate the causal effects of expanding public health insurance to low-income parents on their well-being and that of their children. Using a difference-in-differences model and data from the 2010–2017 National Health Interview Surveys, we observe significant improvements in health care access, increased health care utilization, reduced financial burdens, and slight improvements in health status among low-income parents. For children in Medicaid expansion states, we find reductions in …