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Full-Text Articles in Social and Behavioral Sciences

Anger And Disgust Shape Judgments Of Social Sanctions Across Cultures, Especially In High Individual Autonomy Societies, Per A. Andersson, Andree Hartanto, Et Al Dec 2024

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 …


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 Jul 2024

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 …


Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle Jul 2024

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 Jul 2024

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 …


On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez Jun 2024

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 Jun 2024

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.


Academic Literature Review In Age Of Ai And Large Language Models​, Aaron Tay May 2024

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.


Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu May 2024

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 …


Streamlined Workflow For Qualitative Data Analysis With Whisper And Atlas.Ti, Bella Ratmelia, Bryan Leow, Danping Dong May 2024

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 …


Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci May 2024

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 …


Specifying And Estimating Vector Autoregressions Using Their Eigensystem Representation, Leo Krippner May 2024

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 May 2024

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.


Anatomical Depiction: How Showing A Product's Inner Structure Shapes Product Valuations, Seo Yoon Kang, Junghan Kim, Arun Lakshmanan May 2024

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 …


Nationalist Sentiments And The Multinational Enterprise: Insights From Organizational Sociology, Jesper Edman, Ilya R. P. Cuypers, Gokhan Ertug, Ruth V. Aguilera May 2024

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 …


Application Of Singapore's New Rules On Service Out Of Jurisdiction: Three Arrows Capital And Nw Corp, Adeline Chong Apr 2024

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.


Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li Apr 2024

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.


Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao Apr 2024

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 …


Public Cleanliness Satisfaction Survey 2023, Paulin Straughan, Mathews Mathew Apr 2024

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, …


Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang Apr 2024

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 …


Smu Libraries – An Enabling Partner In Ai Information Literacy, Samantha Seah, Zhe Benedict Yeo, Lukas Tschopp Apr 2024

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 …


The Chemistry Between Us: Illuminating Complementarity Patterns In Interpersonal Role Play Assessment Via Moment-To-Moment Analyses, Christoph N. Herde, Filip Lievens Apr 2024

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. …


Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia Apr 2024

Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia

Research Collection School Of Computing and Information Systems

The proliferation of smart personal devices and mobile internet access has fueled numerous advancements in on-demand transportation services. These services are facilitated by online digital platforms and range from providing rides to delivering products. Their influence is transforming transportation systems and leaving a mark on changing individual mobility, activity patterns, and consumption behaviors. For instance, on-demand transportation companies such as Uber, Lyft, Grab, and DiDi have become increasingly vital for meeting urban transportation needs by connecting available drivers with passengers in real time. The recent surge in door-to-door food delivery (e.g., Uber Eats, DoorDash, Meituan); grocery delivery (e.g., Amazon Fresh, …


Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh Apr 2024

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 …


Designing Pareto-Optimal Selection Systems For Multiple Minority Subgroups And Multiple Criteria, Wilfried De Corte, Paul R. Sackett, Filip Lievens Apr 2024

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) …


Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren Mar 2024

Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren

Research Collection School Of Economics

Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas with high-frequency data. The "local Gaussian" property of the generic continuous-time benchmark model enables optimal "finite-sample" inference in a well-defined sense. It also affords more reliable inference in empirically realistic settings compared to conventional large-sample approaches. Two applications pertaining to the tracking performance of leveraged ETFs and an intraday event study illustrate the practical usefulness of the new procedures.


Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda Mar 2024

Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda

Asian Management Insights

For that, the region must narrow the digital divide.


(Trade) War And Peace: How To Impose International Trade Sanctions, Gustavo De Souza, Naiyuan Hu, Haishi Li, Yuan Mei Mar 2024

(Trade) War And Peace: How To Impose International Trade Sanctions, Gustavo De Souza, Naiyuan Hu, Haishi Li, Yuan Mei

Research Collection School Of Economics

What is the most cost-efficient way to impose trade sanctions against Russia? We build a quantitative model of international trade with input–output connections. Sanctioning countries choose import tariffs to simultaneously maximize their income and minimize Russia's income, with different weights placed on these objectives. We find, first, that for countries with low willingness to pay for sanctions against Russia, the most cost-efficient sanction is an approximately 20% tariff on all Russian products. Second, if countries are willing to pay at least US$0.70 for each US$1 drop in Russian welfare, an embargo on Russia's mining and energy products is the most …


State Institutions In Northeast Thailand: Lao Ethnics And The Thai Identity, Jacob Ricks Mar 2024

State Institutions In Northeast Thailand: Lao Ethnics And The Thai Identity, Jacob Ricks

Research Collection School of Social Sciences

In this last chapter on state representation, we focus on a case where there has been an absence of demands. In Northeast Thailand, the large ethnic Lao population has not demanded cultural concessions from the state. In fact, not only have the demands been absent, but most people in the region see themselves as Thai (the broader national identity) or Isan (a moniker meaning “northeast”)—as opposed to ethnically Lao. The absence of the Lao identity has less to do with the absence of civic associations from the bottom up than with the absence of political representation from the top down. …


Negative Work-To-Family Spillover Stress And Heightened Cardiovascular Risk Biomarkers In Midlife And Older Adults, Andree Hartanto, K.T.A.Sandeeshwara Kasturiratna, Meilan Hu, Shu Fen Diong, Verity Y. Q. Lua Mar 2024

Negative Work-To-Family Spillover Stress And Heightened Cardiovascular Risk Biomarkers In Midlife And Older Adults, Andree Hartanto, K.T.A.Sandeeshwara Kasturiratna, Meilan Hu, Shu Fen Diong, Verity Y. Q. Lua

Research Collection School of Social Sciences

Objectives: The current study aimed to investigate the health implications of negative work-to-family spillover on cardiovascular risk biomarkers. Methods: In a large-scale cross-sectional dataset of working or self-employed midlife and older adults in the United States (N = 1179), we examined five biomarkers linked to cardiovascular risk, including high-density lipoprotein (HDL) cholesterol, low-density lipoprotein cholesterol, triglyceride, interleukin-6, and C-reactive protein. Negative work-to-family spillover, measured using a four-item self-reported questionnaire, was included into our model to study its association with these cardiovascular risk biomarkers. Results: Our findings indicate a significant association between negative work-to-family spillover and cardiovascular risk biomarkers – higher …


Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang Mar 2024

Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang

Research Collection School Of Economics

This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytical inference involves estimating multiple functional quantities that require several tuning parameters. Instead, this paper proposes two bootstrap methods that can consistently approximate the limit distribution of the original QTE estimator and lessen the burden of tuning parameter choice. Most especially, the inverse propensity score weighted multiplier bootstrap can be implemented without knowledge of pair identities.