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Xbrl-Formatted Financial Reporting And The Feedback Effect Of Price, Young Jun Cho, Ying-Chi Huang, Holly I. Yang Feb 2026

Xbrl-Formatted Financial Reporting And The Feedback Effect Of Price, Young Jun Cho, Ying-Chi Huang, Holly I. Yang

Research Collection School Of Accountancy

We examine whether the SEC’s XBRL-formatted financial reporting mandate allows investors to better process public financial information, reducing the extent to which managers learn private information from stock price. We find a significant decrease in the investment-price sensitivity for firms that started to file their 10-Ks in an XBRL format, consistent with a reduction in the cost of information processing crowding out private information in stock price. We also find that the decrease in the investment-price sensitivity associated with XBRL adoption is more pronounced for firms with higher business and information complexity and for firms with higher incentives for managers …

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Female Ceos And Esg Visual Expressions, Ziming Guo, Beng Wee Goh, Dan Li, Yuan Wang Feb 2026

Female Ceos And Esg Visual Expressions, Ziming Guo, Beng Wee Goh, Dan Li, Yuan Wang

Research Collection School Of Accountancy

Prior studies have shown that women possess unique personality traits that cause them to communicate differently than men do. Hence, we investigate whether the presence of female CEOs affects the use of visual expressions in a firm’s ESG report (“ESG visual expressions”). Using detailed disclosure data from ESG reports in China, we find that firms with female CEOs use more ESG visual expressions. This result is stronger when the firm prioritizes ESG performance, when the female CEO is more powerful, and when there are more women on the top management team. ESG visual expressions are also positively associated with the …

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Non-Audit Services And Knowledge Spillover: Evidence From Audit Hours And Billing Rates, Jaeyoon Yu, Yongsuk Yun, Yoonseok Zang Feb 2026

Non-Audit Services And Knowledge Spillover: Evidence From Audit Hours And Billing Rates, Jaeyoon Yu, Yongsuk Yun, Yoonseok Zang

Research Collection School Of Accountancy

Using audit hours from firms listed on the Korea Exchange as a direct proxy for audit effort, this study examines whether non-audit services (NAS) purchased from audit firms improve audit efficiency. Our results reveal that the ratio of NAS fees to total fees paid to audit firms is associated with lower audit hours and audit fees, but it is not significantly related to audit billing rates. The reduction in audit effort associated with NAS is more pronounced when NAS provided are audit-related, and for clients who hire Big 4 auditors, have short-tenured auditors, and report a profit. Further, using path …

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The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras Feb 2026

The Feelit System: Application Content-Aware Perspectives And Challenges On Understanding User Likes In Social Network Posts, Konstantinos Theocharidis, Hady W. Lauw, Panagiotis Karras

Research Collection School Of Computing and Information Systems

In a series of our prior works, we study influence and subscription maximization problems in social networks that are based on posts having influential content; as content we consider a set of features where each feature corresponds to a specific social network page, whereas influence and subscription relate to gaining the postlike and subscription-to-brand page of targeted users, respectively; subscription is conceptually achieved as repetitive influence on users. So, both influence and subscription depend on content that gains the likes of users; however, to be realistic, modeling and estimating such likes is a complex problem that has not been adequately …

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Cellscout: Visual Analytics For Mining Biomarkers In Cell State Discovery, Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu Feb 2026

Cellscout: Visual Analytics For Mining Biomarkers In Cell State Discovery, Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu

Research Collection School Of Computing and Information Systems

Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define specific cell states. However, difficulties arise from the co-discovery process of cell states and biomarkers: biologists often use dimensionality reduction to visualize cells in a two-dimensional space. Then they usually interpret visually clustered cells as distinct states, from which they seek to identify unique biomarkers. However, this assumption is often this assumption often fails to hold due to internal inconsistencies in a cluster, making the process trial-and-error and highly uncertain. Therefore, biologists urgently need effective …

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Prompt Tuning Without Labeled Samples For Zero-Shot Node Classification In Text-Attributed Graphs, Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang Feb 2026

Prompt Tuning Without Labeled Samples For Zero-Shot Node Classification In Text-Attributed Graphs, Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang

Research Collection School Of Computing and Information Systems

Node classification is a fundamental problem in information retrieval with many real-world applications, such as community detection in social networks, grouping articles published online and product categorization in e-commerce. Zero-shot node classification in text-attributed graphs (TAGs) presents a significant challenge, particularly due to the absence of labeled data. In this paper, we propose a novel Zero-shot Prompt Tuning (ZPT) framework to address this problem by leveraging a Universal Bimodal Conditional Generator (UBCG). Our approach begins with pre-training a graph-language model to capture both the graph structure and the associated textual descriptions of each node. Following this, a conditional generative model …

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Fortifying The Seams Between C/C++ And Rust: Characterizing Bugs In Interop Tools, Xuemeng Cai, Jiakun Liu, Cunyang Liu, Lingfeng Bao, Yijun Yu, Lingxiao Jiang Feb 2026

Fortifying The Seams Between C/C++ And Rust: Characterizing Bugs In Interop Tools, Xuemeng Cai, Jiakun Liu, Cunyang Liu, Lingfeng Bao, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Rust has become increasingly popular in recent years due to its safety and high performance. Despite these advantages, Rust projects rarely start from scratch in practice, and many Rust-based systems instead use hybrid programming, where Rust interoperates with existing C/C++ code. To reduce the manual effort involved in this interoperation (interop) process, several interop tools have been proposed to facilitate hybrid programming between Rust and C/C++. However, the challenges and limitations of these tools remain largely unexplored, leaving developers unclear about the future directions and users unclear about the appropriate usage scenarios. To fill the gap, we mined 320 bugs …

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Mm-Attackg: A Multimodal Approach To Attack Graph Construction With Large Language Models, Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang Feb 2026

Mm-Attackg: A Multimodal Approach To Attack Graph Construction With Large Language Models, Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang

Research Collection School Of Computing and Information Systems

Cyber Threat Intelligence (CTI) parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense efficiency, including attack graph construction, intelligence fusion, and indicator extraction. Among these research topics, Attack Graph Construction (AGC) is essential for visualizing and understanding the potential attack paths of threat events from CTI reports. Existing approaches primarily construct the attack graphs purely from the textual data to reveal the logical threat relationships between entities within the attack behavioral sequence. However, they typically overlook the specific threat information inherent in visual modalities, which preserves key threat details …

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Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai Feb 2026

Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai

Research Collection School Of Computing and Information Systems

Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder linked to considerable public health burdens and comorbidities. However, its heterogeneous presentation and the limited accessibility of traditional diagnostic tools such as polysomnography (PSG) lead to widespread underdiagnosis. As a result, artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL) models, have attracted attention as an alternative pathway to detection. This paper first provides a comprehensive review of AI-driven OSA diagnosis, covering different diagnosis problems, input-data types, data biases, pre-processing techniques, and model performance. We then leverage the largest clinical dataset used in OSA prediction to date, …

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Information Sharing Within Institutional Investor Networks, Wei Ting Loh Feb 2026

Information Sharing Within Institutional Investor Networks, Wei Ting Loh

Research Collection School Of Accountancy

This study examines whether information sharing occurs within institutional investor networks. I identify networks of institutional investors who share common investments and find that in-network investors earn significantly higher returns than other investors of the same firm, suggesting that valuable private information is shared within these networks. I also find that ownership by investor networks is associated with speedier price discovery and incorporation of more firm-specific news in prices, consistent with information sharing facilitating efficient price formation. In addition, ownership by network investors is associated with higher information risk as reflected in the probability of informed trading and market liquidity. …

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The Case For Ai Authorship In Copyright Law, Cheng Lim Saw, Duncan Lim Feb 2026

The Case For Ai Authorship In Copyright Law, Cheng Lim Saw, Duncan Lim

Research Collection Yong Pung How School Of Law

Today, with generative AI, literary and artistic works can be created almost effortlessly. There is at present intense debate as to whether works generated by AI – broadly categorised as “AI-assisted” and “AI-generated” works – ought to attract copyright protection. AI-assisted works are those that involve some degree of human intervention. Where AI-generated works are concerned, however, such works are created autonomously by the AI itself with minimal (de minimis) input from an identifiable human being. Presently, it is generally accepted that AI-generated works do not attract copyright protection for want of a human author. This article examines whether it …

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Defending Code Language Models Against Backdoor Attacks With Deceptive Cross-Entropy Loss, Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen Feb 2026

Defending Code Language Models Against Backdoor Attacks With Deceptive Cross-Entropy Loss, Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

Code Language Models (CLMs), particularly those leveraging deep learning, have achieved significant success in code intelligence domain. However, the issue of security, particularly backdoor attacks, is often overlooked in this process. The previous research has focused on designing backdoor attacks for CLMs, but effective defenses have not been adequately addressed. In particular, existing defense methods from natural language processing, when directly applied to CLMs, are not effective enough and lack generality, working well in some models and scenarios but failing in others, thus fall short in consistently mitigating backdoor attacks. To bridge this gap, we first confirm the phenomenon of …

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Derivation Of An Updated Brief Multivariable Prediction Model To Detect Panic-Related Anxiety In Emergency Department Patients With Cardiopulmonary Complaints, Sharon C. Sung, Felicia J. L. Ang, Arul Earnest, Leslie E. C. Lim, Shreshtha Jolly, Gilaine Rui Ng, A. John Rush, Marcus E. H. Ong Feb 2026

Derivation Of An Updated Brief Multivariable Prediction Model To Detect Panic-Related Anxiety In Emergency Department Patients With Cardiopulmonary Complaints, Sharon C. Sung, Felicia J. L. Ang, Arul Earnest, Leslie E. C. Lim, Shreshtha Jolly, Gilaine Rui Ng, A. John Rush, Marcus E. H. Ong

Research Collection School of Social Sciences

Background Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead to recurrent visits and prolonged distress. This study aimed to derive a new symptom-based multivariable diagnostic prediction model to detect panic-related anxiety in ED patients with cardiopulmonary symptoms.Methods We conducted a single-blind prospective derivation study over 15 months in the ED of a major tertiary hospital in Singapore. Patients presenting with symptoms of palpitations, chest pain, dizziness, or difficulty breathing were assessed using the Structured Clinical Interview for DSM Disorders (SCID) to diagnose …

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The Impacts Of Political Leaders’ Social Capital On Policy Success: The Case Of Local Food Systems, In Hae Noh, Beomgeun Cho, April M. Roggio, Luis F. Luna-Reyes Feb 2026

The Impacts Of Political Leaders’ Social Capital On Policy Success: The Case Of Local Food Systems, In Hae Noh, Beomgeun Cho, April M. Roggio, Luis F. Luna-Reyes

Research Collection School of Social Sciences

Network approaches to collaborative leadership suggest that local leaders’ success depends on activities that connect their organization to diverse stakeholders and resources. Drawing on the literature on managerial networking and a mixed-methods approach that includes 38 semi-structured interviews and a survey of 185 New York State municipal leaders, we explore the impact of leaders’ networking efforts on food access and security in their communities. We hypothesize that different forms of leaders’ social capital (bridging, bonding, and linking) has an impact on policy success. Our results suggest that only bridging social capital has an impact on food access. We conclude with …

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Examining The Effects Of Viewing Nature And Animal Smartphone Wallpapers On Affect, Behaviour, And Cognition: A Randomised Cross-Over Trial, Nadyanna M. Majeed, Nicole R. Y. Chen, Adalia Y. H. Goh, Meilan Hu, Kenneth J. J. Koh, Yuolmae H. G. Ang, Andree Hartanto Feb 2026

Examining The Effects Of Viewing Nature And Animal Smartphone Wallpapers On Affect, Behaviour, And Cognition: A Randomised Cross-Over Trial, Nadyanna M. Majeed, Nicole R. Y. Chen, Adalia Y. H. Goh, Meilan Hu, Kenneth J. J. Koh, Yuolmae H. G. Ang, Andree Hartanto

Research Collection School of Social Sciences

This study aims to investigate the effects of different smartphone lock screen wallpapers on weekly perceived well-being, procrastination, and productivity in young adults. Through a pre-registered within-subject experiment, 60 participants were exposed to three smartphone wallpaper conditions: nature, animal, and neutral (control). Each participant experienced each condition over three weeks, with the order of conditions counterbalanced. Using Frequentist and Bayesian analyses, we did not find any differences between conditions across the pre-registered confirmatory outcomes (i.e., life satisfaction, positive affect, negative affect, stress, productivity, and procrastination). Exploratory outcomes related to lock screen engagement, however, revealed some meaningful effects. Animal-themed smartphone wallpapers …

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Counter-Urbanization In China: A Systematic Review Toward A Comprehensive Typology, Chengxue Yang, Qian Forrest Zhang Feb 2026

Counter-Urbanization In China: A Systematic Review Toward A Comprehensive Typology, Chengxue Yang, Qian Forrest Zhang

Research Collection School of Social Sciences

Drawing on a systematic review of both international and Chinese-language scholarship on counter-urbanization in China, this article proposes a comprehensive typology of counter-urbanization migrations—consisting of eight types of new migrants—based on the diverse motivations driving such migration. We build a bilingual corpus of 273 research papers published between the 1970s and 2025. Integrating bibliometric mapping and qualitative synthesis, we conduct a systematic review to trace the temporal evolution and thematic diversification of counter-urbanization research. The review reveals persistent conceptual ambiguity surrounding counter-urbanization in the Chinese context, which this study addresses by conceptually distinguishing counter-urbanization from suburban expansion, population decentralization, and …

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Dual Self-Construal Integration (Dsci) And Romantic Relationships In Singapore: Enhancing Romantic Relationship Satisfaction Through Creativity, Kenneth Tan, Chi-Ying Cheng, Gloria J. Lai, Daniel Ho Feb 2026

Dual Self-Construal Integration (Dsci) And Romantic Relationships In Singapore: Enhancing Romantic Relationship Satisfaction Through Creativity, Kenneth Tan, Chi-Ying Cheng, Gloria J. Lai, Daniel Ho

Research Collection School of Social Sciences

Research has shown that independent vs. interdependent self-construals are largely shaped by culture and can predict the endorsement of distinct relational schemes when dealing with close others. Intriguingly, individuals exposed to both Eastern and Western cultures can develop both independent and interdependent self-construals and possess the two seemingly conflicting self-construals simultaneously. What is less explored is how different management of both independent and interdependent self-construals influence individuals' navigation of relational schemas in their romantic relationships. The current research examines the influence of how one's dual self-construal integration (DSCI)—an individual difference measure that captures the degree to which individuals perceive independent …

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Secondary School Students' Engagement In Learning Activities: Validation Of A Short Scale, Feliciano Henriques Veiga, Zi Yang Wong, Johnmarshall Reeve, Shane Jimerson, Antonio Leite, Joan Perales, Sonia Valente, Isabel Martinez Feb 2026

Secondary School Students' Engagement In Learning Activities: Validation Of A Short Scale, Feliciano Henriques Veiga, Zi Yang Wong, Johnmarshall Reeve, Shane Jimerson, Antonio Leite, Joan Perales, Sonia Valente, Isabel Martinez

Research Collection School of Social Sciences

Student engagement is a multidimensional construct strongly associated with learning outcomes and academic success. However, its measurement remains challenging, as existing instruments often conflate engagement in learning activities with engagement in the school community. In addition, brief measures are scarce despite their increasing value, and most available instruments do not incorporate agentic engagement. Assessing student engagement in learning activities is, therefore, crucial for monitoring academic progress, identifying students at risk of dropping out, and predicting academic success. This study aimed to validate the 12-item Secondary School Student Engagement in Learning Activities: Short Scale, adapted from a higher education measure, which …

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Living Well: The Built, Lived, And Social Determinants Of Well-Being, Yi Wen Tan, Zidane Tiew, Emi Loh, Shania Go, Wensi Lim Feb 2026

Living Well: The Built, Lived, And Social Determinants Of Well-Being, Yi Wen Tan, Zidane Tiew, Emi Loh, Shania Go, Wensi Lim

ROSA Research Briefs

As Singapore transitions into a super-aged society, it becomes imperative for us to develop sustainable, inclusive, and effective models of care. In recent years, there has been growing emphasis on embedding healthcare, social services, and everyday amenities within the community. During this year’s National Day Rally, the Government introduced Age Well Neighbourhoods, a new scheme that builds on existing efforts from the Age Well SG initiative. Age Well Neighbourhoods seeks to expand active ageing centre networks, bring healthcare closer to homes with the establishment of community health posts, and provide greater home personal care services, further cementing its focus on …

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Projecting Inflation Tail Risks In A Small Open Economy: Some Evidence From Singapore, Hwee Kwan Chow-Tan, Jordan Lee Feb 2026

Projecting Inflation Tail Risks In A Small Open Economy: Some Evidence From Singapore, Hwee Kwan Chow-Tan, Jordan Lee

Research Collection School Of Economics

This study empirically assesses the drivers of risks to the inflation outlook for a small open economy like Singapore. We apply the inflation-at-risk framework of López-Salido and Loria (2020) and incorporate projections from the Survey of Professional Forecasters (SPF) as point forecasts of inflation. Our findings show that macro-financial risk factors—shaped by Singapore’s openness, role as a financial hub, and exchange rate–centered monetary policy framework—enter nonlinearly into inflation risk models and exert differentiated effects. Foreign price pressures heighten upside risks, and exchange rate policy has proven effective at mitigating them. Tighter global financial conditions amplify inflation risks through cost-push channels, …

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New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis, Qiying Wang, Peter C. B. Phillips, Ying Wang Feb 2026

New Asymptotics Applied To Functional Coefficient Regression And Climate Sensitivity Analysis, Qiying Wang, Peter C. B. Phillips, Ying Wang

Research Collection School Of Economics

A general asymptotic theory is established for sample cross moments of nonstationary time series, allowing for long-range dependence and local unit roots. The theory provides a substantial extension of earlier results on nonparametric regression that include near-cointegrated nonparametric regression as well as spurious nonparametric regression. Many new models are covered by the limit theory, among which are functional coefficient regressions in which both regressors and the functional covariate are nonstationary. Simulations show finite sample performance matching well with the asymptotic theory and having broad relevance to applications, while revealing how dual nonstationarity in regressors and covariates raises sensitivity to bandwidth …

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Uncertain Search With Knowledge Transfer, Woonghee Tim Huh, Michael Jong Kim, Meichun Lin Feb 2026

Uncertain Search With Knowledge Transfer, Woonghee Tim Huh, Michael Jong Kim, Meichun Lin

Research Collection Lee Kong Chian School Of Business

We consider a sequential search over a group of similar alternatives. The individual value of an alternative contains two components, an observable utility and an idiosyncratic value. Observable utilities share an unknown population distribution, which captures the similarity across the alternatives and allows for knowledge transfer within the group. Once a decision maker encounters an alternative, its utility is revealed immediately, whereas the idiosyncratic value is unobservable and needs to be learned by sampling. The goal is to select an alternative with the highest individual value while accounting for the sampling and search costs. A novel feature of this problem …

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The Powerful Teacher: A Power Hypothesis For The Benefits Of Learning-By-Teaching, Sarah Shi Hui Wong, Stephen Lim Feb 2026

The Powerful Teacher: A Power Hypothesis For The Benefits Of Learning-By-Teaching, Sarah Shi Hui Wong, Stephen Lim

Research Collection School of Social Sciences

Why does teaching others enhance one's learning? This study advanced a novel power hypothesis of learning-by-teaching: When assuming the role of a teacher, students experience a heightened sense of power in influencing others, which increases their own learning. University students (N = 242) studied a scientific text using one of three learning methods: notetaking, explaining, or teaching. The notetaking group prepared to be tested and wrote study notes about the topic; the explaining group prepared to explain and wrote an explanation about the topic as how they would write a textbook for their peers; the teaching group prepared to teach …

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Higher Education Student Engagement In Learning Activities: Clarifying Concepts And Introducing A Short-Scale, Feliciano Veiga, Johnmarshall Reeve, Carlota M. Veiga, Zi Yang Wong, Isabel Martinez, Anabela Pereira Nuno Archer De Carvalho Feb 2026

Higher Education Student Engagement In Learning Activities: Clarifying Concepts And Introducing A Short-Scale, Feliciano Veiga, Johnmarshall Reeve, Carlota M. Veiga, Zi Yang Wong, Isabel Martinez, Anabela Pereira Nuno Archer De Carvalho

Research Collection School of Social Sciences

Student engagement plays a vital role in higher education due to its significant influence on academic outcomes, such as academic achievement and course completion. However, the concept of student engagement is often ambiguously defined, with a lack of distinction between engagement in learning and involvement in the academic community. Although the current student engagement measures have contributed to advancing knowledge in the area, they are often too long and exclude agentic engagement, which is seen as a key dimension in higher education. This research aimed to (a) clarify the concept of student engagement and the conceptual problems of the existing …

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How Consistent Friendlike Conversation With Ai Companions Influences Our Attitudes And Perceptions Toward Ai: An Exploratory Experiment, Qi Hui Jerlyn Ho, Meilan Hu, Adalia Yin Hui Goh, Emma Jane Pragasam, Andree Hartanto Feb 2026

How Consistent Friendlike Conversation With Ai Companions Influences Our Attitudes And Perceptions Toward Ai: An Exploratory Experiment, Qi Hui Jerlyn Ho, Meilan Hu, Adalia Yin Hui Goh, Emma Jane Pragasam, Andree Hartanto

Research Collection School of Social Sciences

Despite skepticism and distrust in artificial intelligence (AI), it is increasingly integrated into daily life, with its potential benefits drawing interest. Yet little is known about the attitudinal and psychological effects of human–AI interactions, and whether consistent interactions with AI chatbots can change users’ attitudes and perceptions. Our within-subjects experiment (N = 52) investigated how five days of socially oriented, friendlike interactions with an AI chatbot, versus a journaling control, influenced changes in attitudes and perceptions of AI. Participants’ attitudes towards AI, trust, perceived empathy, anthropomorphism, animacy, likeability, perceived intelligence and safety, dependency, and exploratory well-being indicators were recorded. Results …

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Market Culture And Innovation Acceptance In Fire Safety Products: The Moderating Role Of Perceived Market Regulation, Xu Zhang Feb 2026

Market Culture And Innovation Acceptance In Fire Safety Products: The Moderating Role Of Perceived Market Regulation, Xu Zhang

Dissertations and Theses Collection (Open Access)

Against the backdrop of continuously rising global fire safety standards and ongoing technological iteration in fire protection products, whether innovative fire protection products can be effectively accepted by the market has become a critical issue influencing the returns on firms’ innovation investments and the high-quality development of the industry. Existing studies have predominantly explored innovation diffusion mechanisms from the perspectives of technological attributes or organizational factors, while paying relatively limited attention to market culture as a contextual factor, as well as to the differentiated role that government regulation may play in this process. Based on this, this study takes institutional …

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A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series, Qiying Wang, Peter C. B. Phillips Feb 2026

A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series, Qiying Wang, Peter C. B. Phillips

Research Collection School Of Economics

New limit theory is provided for a wide class of sample variance and covariance functionals involving both nonstationary and stationary time series. Sample functionals of this type commonly appear in regression applications and the asymptotics are particularly relevant to estimation and inference in nonlinear nonstationary regressions that involve unit root, local unit root, or fractional processes. The limit theory is unusually general in that it covers both parametric and nonparametric regressions. Self-normalized versions of these statistics are considered that are useful in inference. Numerical evidence reveals interesting strong bimodality in the finite sample distributions of conventional self-normalized statistics similar to …

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Are Cities Losing Innovation Advantages? Online Versus Face-To-Face Interactions, Ruben Gaetani, Naqun Huang, Jing Li, Yanmin Yang Feb 2026

Are Cities Losing Innovation Advantages? Online Versus Face-To-Face Interactions, Ruben Gaetani, Naqun Huang, Jing Li, Yanmin Yang

Research Collection School Of Economics

How did COVID-19 affect the innovation advantages of dense locations? Using data on the universe of U.S. patent applications, we find that the density premium in the production of novel inventions declined by 18.5%-22.9% in 2020-2021 relative to its pre-pandemic level. Smartphone data on local mobility suggest that the drop in the frequency of local interactions can explain a significant portion of this effect. While COVID-19 resulted in a temporary setback in the innovation advantages of dense locations, the role of urban density in facilitating the exchange and recombination of ideas is unlikely to be persistently replaced by online communication.

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Removed: When Taxi Drivers Meet Dynamic Pricing: A Lesson From Singapore's Justgrab Program, Shih-Fen Cheng, Wen-Tai Hsu, Jing Li Feb 2026

Removed: When Taxi Drivers Meet Dynamic Pricing: A Lesson From Singapore's Justgrab Program, Shih-Fen Cheng, Wen-Tai Hsu, Jing Li

Research Collection School Of Economics

This paper studies how dynamic pricing influences taxi drivers’ behaviors using a unique event, the inception of the JustGrab program in Singapore in 2017, which introduces dynamic pricing to some, but not all, taxi drivers. This is the first time in history that traditional taxi drivers have access to dynamic pricing. Using data covering the universe of taxi trips before and after the inception of JustGrab, we find that there is spatial reallocation that directs more taxi drivers to the previously less-served areas, that there is also a temporal reallocation that directs more taxi drivers to rush hours, as well …

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Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang Feb 2026

Efficient Bilateral Trade With Interdependent Values: The Use Of Two-Stage Mechanisms, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Efficient, voluntary bilateral trades are generally not implementable in an interdependent values environment with two-sided asymmetric information. To obtain more positive results, we consider two-stage mechanisms in which (i) the outcome (e.g., allocation of the goods) is determined first; (ii) the agents partially learn the state via their own outcome-decision payoffs; and (iii) transfers are finally made. We propose the approximate shoot-the-liar (AS) mechanism and identify Assumption 1, under which “approximately” efficient, voluntary trades are implementable. We further illustrate the permissiveness of the assumption, and characterize it in terms of the nature of interdependence in valuation functions – delineating the …

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