Social and Behavioral Sciences Commons^™

Anger And Disgust Shape Judgments Of Social Sanctions Across Cultures, Especially In High Individual Autonomy Societies, Per A. Andersson, Andree Hartanto, Et Al

Research Collection School of Social Sciences

When someone violates a social norm, others may think that some sanction would be appropriate. We examine how the experience of emotions like anger and disgust relate to the judged appropriateness of sanctions, in a pre-registered analysis of data from a large-scale study in 56 societies. Across the world, we find that individuals who experience anger and disgust over a norm violation are more likely to endorse confrontation, ostracism and, to a smaller extent, gossip. Moreover, we find that the experience of anger is consistently the strongest predictor of judgments of confrontation, compared to other emotions. Although the link between …

Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cross-exchange crypto trading presents inherent risks, particularly for centralized exchanges. Investors observe exacerbating crypto volatility and counterparty risk and would like to quantify these elements of crypto trades. The multiple exchanges require a multivariate view on the structures of risk spillover across exchanges. Here, a Multivariate Heterogeneous AutoRegression (MHAR) model is designed and analyzed, accommodating the stylized facts of crypto markets, including 24/7 trading and the long-memory effect on return variations. The proposed MHAR approach clearly reveals the intensity of interconnectedness among exchanges during extreme events, e.g., the Bitcoin market. Additionally, one observes extremely volatile eigenvector centralities of Futures Exchange …

Bubbly Booms And Welfare, Feng Dong, Yang Jiao, Haoning Sun

Research Collection School Of Economics

We show the competing effects of a housing bubble on the real economy by developing a multi-sector dynamic model with housing production. On the one hand, firms can sell or collateralize their housing, so a housing bubble helps firms obtain credit to finance their investment and expand production. On the other hand, a boom in the housing sector crowds out labor in the non-housing sector. We show that housing booms can reduce social welfare both in the steady state and in the transitional dynamics only when the production externalities in the non-housing sector are sufficiently large. We quantitatively evaluate our …

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …

On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez

Research Collection Lee Kong Chian School Of Business

This study set out to assess if presenting cultivated chicken in the context of a familiar meal, in a familiar dining setting, would motivate repeat consumption and recommendation. A survey of 107 diners was conducted at Huber's Butchery and Bistro in Singapore – the world's first butchery to serve cultivated meat – from April to June 2023. The findings showed that eating cultivated chicken significantly boosted post-consumption acceptance levels. In addition, cultivated chicken's tastiness may be a more important factor than its integration into a familiar meal or dish in fostering repeat consumption. Implications for the cultivated meat industry, limitations, …

Silver Screen Reversals Of The Domino Theory: American Cold War Movies And The Re-Imagination Of British Experiences In Southeast Asia, Wen-Qing (Wei Wenqing) Ngoei

Research Collection School of Social Sciences

This essay examines how Hollywood was affected by the successful anticommunism of Britain and its local allies in Malaya and Singapore, victories that unfolded alongside Vietnam’s mounting crisis in the early 1960s. It shows that American movies of this era which portrayed the intertwining of US and British experiences in 1950s Malaya and 1940s Singapore conveyed an uneasy yet clear optimism about U.S. involvement in Southeast Asia.

Q&A With Professor Lily Kong, Royal Geographical Society

Oral History Collection

SMU President Professor Lily Kong has been conferred the Royal Geographical Society (with the institute of British Geographers) Victoria Medal 2024 for conspicuous merit in social and cultural geography and in urban research. The Medal recognises Prof Kong’s exceptional intellectual leadership, demonstrated through her scholarship and contributions to the internationalisation of geography. She is also the first Asian woman, in over 120 years, to be accorded this honour. In an interview, Prof Kong shared about her role and work as the first Singaporean woman to be appointed President of any university in Singapore, as well as the highlights of her …

Academic Literature Review In Age Of Ai And Large Language Models​, Aaron Tay

Research Collection Library

Explore the evolving landscape of academic research with a focus on open data and AI advancements, particularly in natural language processing. Join us for a practical presentation on leveraging emerging tools for literature review. Discover platforms like Connected Papers, ResearchRabbit, and Litmaps, offering paper exploration and recommendations based on initial 'seed papers.' Dive into AI-enhanced search engines like Elicit, Scispace, Semantic Scholar, and Scite.ai, powered by Large Language Models such as BERT and GPT. Learn about the latest developments, strengths, and weaknesses of these tools, and how they reshape literature review methods, from tool selection to query input techniques.

Streamlined Workflow For Qualitative Data Analysis With Whisper And Atlas.Ti, Bella Ratmelia, Bryan Leow, Danping Dong

Research Collection Library

Qualitative research, often reliant on interviews and focus groups, stands to benefit significantly from the latest advancements and innovations in AI. This workshop presents a practical and efficient research workflow with two powerful tools—Whisper and ATLAS.ti—to streamline the process of qualitative data analysis.

Whisper is an open-source machine learning model for speech recognition and transcription by OpenAI. With the ability to achieve human-level accuracy in speech recognition, it significantly reduces the time and effort required for transcribing, saving your time for more valuable work.

Moving beyond transcription, the workshop presents ATLAS.ti, a well-established qualitative data analysis tool. Learn how to …

Cultural Tightness In Organizations: Investigating The Impact Of Formal And Informal Cultural Tightness On Employee Creativity, Roy Y. J. Chua, Na Zhao, Meng Han

Research Collection Lee Kong Chian School Of Business

This paper delineates cultural tightness into formal versus informal aspects to depict the strength of norms and the extent of sanctions emanating from both formal and informal norms. Organizations with high formal cultural tightness regulate behaviors through explicit written norms and official sanctions, whereas those with high informal cultural tightness regulate behaviors through uncodified norms, collective beliefs, and informal social sanctions. Through a field study across 14 diverse companies in two countries (Malaysia and the Philippines) and two experiments involving participants from the United States, we found that perceived informal cultural tightness consistently exerts a more significant impact on stifling …

Hiv Estimation Using Population-Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li

Research Collection School Of Economics

HIV estimation using data from the demographic and health surveys (DHS) islimited by the presence of non-response and test refusals. Conventional adjust-ments such as imputation require the data to be missing at random. Methodsthat use instrumental variables allow the possibility that prevalence is differentbetween the respondents and non-respondents, but their performance dependscritically on the validity of the instrument. Using Manski’s partial identifica-tion approach, we form instrumental variable bounds for HIV prevalence from apool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and compare ourmethod against its competitors. …

Can Confidence Influence Persuasiveness In Disagreements By Conveying Competence Versus Dominance? The Moderating Role Of Competitiveness, Laura Rees, Ming-Hong Tsai, Shirli Kopelman, Hsiu-Hua Hu

Research Collection School of Social Sciences

Research has demonstrated that confident individuals gain social influence because their confidence signals competence rather than dominance in settings in which they do not experience a disagreement with others. We extend this research by exploring felt competitiveness, as reflected by perceptions of goal opposition between perceivers and others. In settings where people experience a disagreement, we explore the impact of felt competitiveness on the association between expressed confidence and social perceptions of the expresser’s competence and dominance, and how these shape persuasiveness. We conducted a field study examining dyadic interactions between coworkers (Study 1) and two experimentsmanipulating competitiveness and confidence …

Nationalist Sentiments And The Multinational Enterprise: Insights From Organizational Sociology, Jesper Edman, Ilya R. P. Cuypers, Gokhan Ertug, Ruth V. Aguilera

Research Collection Lee Kong Chian School Of Business

International business scholars have recognized the impact of political and economic nationalism on the multinational enterprise (MNE). We complement these approaches by highlighting the sociological manifestations of nationalism and their implications for the MNE. We argue that nationalist sentiments, i.e. widely-shared assumptions of superiority over other nations and cultures, constitute an under-researched but critical element in international business (IB). Drawing insights from organizational sociology, we elucidate how nationalist sentiments manifest in the MNE’s external and internal environment. Specifically, we suggest that nationalist sentiments accentuate national institutional logics, generate status-based categorizations of foreign and domestic firms, and heighten emphasis on national …

Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner

Sim Kee Boon Institute for Financial Economics

This article introduces the principles and mechanics of the eigensystem vector autoregression (EVAR) framework, where a VAR may be specified and estimated directly via its eigenvalue and eigenvector parameters. Using explicit constraints on the eigensystem permits control of a VAR ís allowable dynamics, which is illustrated empirically with standard and time-varying VAR estimations specified to be always non-explosive.

Getting Published And Raising Research Visibility, Pin Pin Yeo

Research Collection Library

Embarking on publishing your research can be exciting yet daunting. This seminar will guide you through crafting a compelling paper, navigating the submission process, and enhancing your paper's visibility. Learn what editors and reviewers seek, how to select the right journal, and how to publicise your research effectively. Whether you're a seasoned researcher or new to publishing, join us to amplify the impact of your work and share your discoveries with the world.

Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci

Research Collection School Of Economics

We compare social welfare, consumer surplus and profits in two different institutional settings in which an item whose quantity is fixed and controlled (vehicle registration permit) is allocated to the buyers of a complementary good (car). In the first setting, which resembles the way in which vehicle registration permits are allocated in Singapore, the central planner runs a uniform price auction for permits in which the consumers who bid the highest receive the permits and pay the highest losing bid. Then each winning consumer purchases a car from a seller. In the alternative setting, the central planner first allocates the …

Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu

Research Collection Lee Kong Chian School Of Business

Social media platforms and marketers are keen on identifying truly influential creators. Number of followers (i.e., those who follow creators) and number of followees (i.e., those who are followed by creators) serve as cues to infer creators' influence. However, a cue of creators' actual influence is under-addressed and its effect on social media engagement remains to be explored. This research fills the gap in the literature by investigating how the cue of creators' actual influence (i.e., follower-followee comparison) may affect followers' engagement behavior. The study further examines the moderation effects of media-, topic-, and creator-related factors. The present work leverages …

Anatomical Depiction: How Showing A Product's Inner Structure Shapes Product Valuations, Seo Yoon Kang, Junghan Kim, Arun Lakshmanan

Research Collection Lee Kong Chian School Of Business

Anatomical depiction is a technique where the product is decomposed into components that are spatially arranged in a layer-by-layer manner to visually explicate its inner structure. The authors demonstrate that anatomical depiction, compared to non-anatomical depiction, enhances product valuation. This effect occurs because anatomical depiction elicits a ‘coming together’ of the inner components in consumers’ minds thereby evoking a gestalt image of the product – a process labeled simulated assemblage. The elicitation of simulated assemblage in turn boosts their confidence in the product’s performance. Two field experiments first demonstrate that anatomical depiction leads to greater engagement in online settings such …

Discontent In The World City Of Singapore, Gordon Tan, Jessie P. H. Poon, Orlando Woods

Research Collection College of Integrative Studies

A burgeoning literature on ‘left behind’ places has emerged that captures the backlash against globalisation and highlights the locales that lag world cities. This paper integrates the ‘left behind’ and world cities literatures through the lens of discontent in the context of Singapore, using sentiment analysis and topic modelling as well as interviews with local professionals to unpack the multidimensional aspects of discontent. Focusing on the Singapore–India Comprehensive Economic Cooperation Agreement that spurred discontent directed at foreign Indian professionals, we show that the worlding generated by transnational flows has accentuated intra-urban inequality through racialisation and spatialisation of financial business and …

Breathpro: Monitoring Breathing Mode During Running With Earables, Changshuo Hu, Thivya Kandappu, Yang Liu, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Running is a popular and accessible form of aerobic exercise, significantly benefiting our health and wellness. By monitoring a range of running parameters with wearable devices, runners can gain a deep understanding of their running behavior, facilitating performance improvement in future runs. Among these parameters, breathing, which fuels our bodies with oxygen and expels carbon dioxide, is crucial to improving the efficiency of running. While previous studies have made substantial progress in measuring breathing rate, exploration of additional breathing monitoring during running is still lacking. In this work, we fill this gap by presenting BreathPro, the first breathing mode monitoring …

Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li

Research Collection School Of Economics

Shapley and Scarf (1974) appeared in the first issue of the Journal of Mathematical Economics, and is one of the journal’s most impactful publications. As we approach the remarkable milestone of the journal’s 50th anniversary (1974–2024), this article serves as a commemorative exploration of Shapley and Scarf (1974) and the extensive body of literature that follows it.

Smu Libraries – An Enabling Partner In Ai Information Literacy, Samantha Seah, Zhe Benedict Yeo, Lukas Tschopp

Research Collection Library

SMU Libraries plays a pivotal role in advancing AI information literacy within the larger need for digital literacy skills in the SMU community. In this presentation, participants will get an overview of SMU Libraries' engagement and partnerships with the academic community and will showcase initiatives and resources supporting AI literacy. This includes a discussion of insights from the scholarly literature, research findings and critical perspectives to inform teaching and learning practices related to AI. Speakers will share SMU Libraries’ contributions towards awareness and adoption of AI through a portfolio of successful collaborations and initiatives with partners and stakeholders within and …

Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …

Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang

Research Collection School Of Economics

We study the wild bootstrap inference for instrumental variable regressions under an alternative asymptotic framework that the number of independent clusters is fixed, the size of each cluster diverges to infinity, and the within cluster dependence is sufficiently weak. We first show that the wild bootstrap Wald test controls size asymptotically up to a small error as long as the parameters of endogenous variables are strongly identified in at least one of the clusters. Second, we establish the conditions for the bootstrap tests to have power against local alternatives. We further develop a wild bootstrap Anderson–Rubin test for the full-vector …

Application Of Singapore's New Rules On Service Out Of Jurisdiction: Three Arrows Capital And Nw Corp, Adeline Chong

Research Collection Yong Pung How School Of Law

No abstract provided.

Hiv Estimation Using Population Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li

Research Collection School Of Economics

HIV estimation using data from the Demographic and Health Surveys (DHS) is lim-ited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instru-ment. Using Manski’s partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and …

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …

The Chemistry Between Us: Illuminating Complementarity Patterns In Interpersonal Role Play Assessment Via Moment-To-Moment Analyses, Christoph N. Herde, Filip Lievens

Research Collection Lee Kong Chian School Of Business

In assessment and selection, organizations often include interpersonal interactions because they provide insights into candidates’ interpersonal skills. These skills are then typically assessed via one-shot, retrospective assessor ratings. Unfortunately, the assessment of interpersonal skills at such a trait-like level fails to capture the richness of how the interaction unfolds at the behavioral exchange level within a role-play assessment. This study uses the lens of interpersonal complementarity theory to advance our understanding of interpersonal dynamics in role-play assessment and their effects on assessor ratings. Ninety-six MBA students participated in four different flash role-plays as part of diagnosing their strengths and weaknesses. …

Public Cleanliness Satisfaction Survey 2023, Paulin Straughan, Mathews Mathew

Research Collection School of Social Sciences

The Singapore Management University undertook the sixth wave of the Public Cleanliness Satisfaction Survey (PCSS) with 2,010 Singapore residents providing responses to the survey from November 2023 to January 2024.

Similar to the findings from the 2022 wave of PCSS, the 2023 wave of the PCSS continued to reflect an overall satisfaction with public cleanliness in Singapore. Majority of survey respondents (94%) were satisfied with the cleanliness of public spaces that they had recently visited, which was an increase of 2% from 2022. Satisfaction with the cleanliness of food outlets saw the largest increase (by 3%) among all location types, …

Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) …