Digital Commons Network^™

Attention To Detail: How Do Information Users Process Exhibits In Form 10-K?, Stephanie F. Cheng, Yimeng Li, Pengkai Lin

Research Collection School Of Accountancy

Form 10-K offers a setting for studying how users process complex, multi-layered disclosures: managerial narratives in the main file alongside separate exhibits, such as contracts and certifications, that provide unfiltered detail. Drawing on rational inattention theory, we investigate how users allocate limited attention across these components. Users typically begin with the main file and selectively access exhibits when the main file appears shorter, less readable, or less confident, indicating higher perceived information loss. This pattern strengthens for exhibits that offer more detail on topics discussed in the main file and among institutional investors and time-constrained users. Exhibit access persists beyond …

Hydpn: A Hybrid Deep Reinforcement Learning, Programming, And Neighborhood Operations Framework For Integrated Scheduling On Parallel Batch Processing Machines, Yuqi Wang, He Luo, Guoqiang Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Batch processing machines (BPMs) are widely used in industries such as semiconductors, metal processing, and healthcare, where jobs are processed in batches. As production, inventory, and distribution become increasingly integrated to improve efficiency, research on their joint scheduling in parallel BPM environments remains scarce. This paper addresses the integrated scheduling problem in parallel BPMs, involving production, inventory, and distribution stages, with the objective of minimizing total costs. A unified cost-based model is first formulated, applicable to both in-facility and external distribution scenarios. A hybrid algorithm framework, HyDPN, combining deep reinforcement learning, dynamic programming, and neighborhood operations is proposed. Extensive experiments …

On-The-Fly Generation-Quality Enhancement Of Deep Code Models Via Model Collaboration, Weifeng Sun, Naiqi Huang, Meng Yan, Zhongxin Liu, Hongyan Li, Yan Lei, David Lo

Research Collection School Of Computing and Information Systems

The growing prominence of deep code models in automating software engineering tasks is undeniable. However, their deployment encounters significant challenges in on-the-fly performance enhancement, which refers to dynamically improving the performance of deep code models during real-time execution. Conventional techniques, such as retraining or fine-tuning, are effective in controlled pre-deployment scenarios but fall short when adapting to on-the-fly adjustments post-deployment. CodeDenoise, a notable on-the-fly performance enhancement technology, leverages uncertainty-based methods to identify misclassified inputs and applies an input modification strategy to rectify classification errors. While effective for classification tasks, this approach is inapplicable to generative tasks due to two key …

Vehicle-Based Multi-Services For Future Smart Cities, Hao Sun, Jinhua Zhao, Hai Yang, Shenhao Wang, Hamsa Balakrishnan, Thomas W. Malone, Hai Wang

Research Collection School Of Computing and Information Systems

Vehicles are crucial for sustaining socioeconomic activity and improving quality of life in modern cities by offering diverse services. These include passenger mobility, goods delivery, information acquisition, and acting as mobile servers such as food trucks and mobile lockers. At the same time, they also contribute to traffic congestion and air pollution. This tension fosters the rise of urban resource-conserving and sustainable service solutions. In this article, we introduce the concept of “Vehicle-Based Multi-Services” (VeMuS), in which a single vehicle offers multiple services simultaneously. Drawing on practical use cases, we examine service classification and integration for vehicles and the potential …

Enhancing Pointing Gestures Of Non-Hmd Users In Asymmetric Collocated Mixed Reality Collaboration, Nam-Dang Vo, Van-Vinh Thai, Anthony Tang, Khanh-Duy Le

Research Collection School Of Computing and Information Systems

A common collocated group setting in mixed-reality (MR) collaboration is a person wearing a MR headset (HMD user) and presenting MR contents to audiences who are not provided with such specialized devices (Non-HMD users). In this setting, while Non-HMD users can view the MR environment shown on a large physical display, it still remains challenging for the HMD user to interpret their pointing gesture when they spatially refer to objects in the MR environment. To address this, we designed and evaluated two pointing techniques—SCREEN and SCREEN+SPACE—that support Non-HMD users in referring to MR content. Screen pointing allows users to refer …

Emotional Support Through Ai: Venting To Artificial Intelligence Or A Perceived Human May Offer Comparable Emotional Well-Being Benefits, Meilan Hu, Jerlyn Q. H. Ho, Claire Ng, Shermaine S. M. Wong, Andree Hartanto

Research Collection School of Social Sciences

Artificial Intelligence (AI) chatbots are increasingly being explored as sources of informal emotional support, with emerging evidence suggesting that venting to these systems can reduce negative affect. Yet, it remains unclear whether such benefits depend on the responder's perceived identity. Given that emotional relief from venting often hinges on perceived authenticity and emotional validation, this study investigates whether the emotional well-being benefits of venting differ when users believe they are interacting with an AI chatbot versus a human, even when responses are content-matched. In a pre-registered experiment ( N = 279), participants were randomly assigned to either an AI-assisted venting …

Beyond Religious Narcissistic Identification: Agnostic And Atheistic Narcissism, Magdalena Żemojtel-Piotrowska, Jarosław Piotrowski, Bartłomiej Nowak, V. Saroglou, John Maltby, Constantine Sedikides, Mladen Adamovic, Nur Amali Aminnuddin, Seth Christopher Yaw Appiah, Rahkman Ardi, Zana Babakr, Einar Baldursson, Sergiu Bălţătescu, M. Bilgehan Aytaç, Li, Norman P., Bruno Bonfá-Araujo, Matthias Burghart, Phatthanakit Chobthamkit, Marilyn Clark, Magali. Clobert

Research Collection School of Social Sciences

Agnosticism and atheism are often grouped simply as nonreligious identities, yet emerging research highlights their distinct psychological profiles and social implications. Among these distinctions, collective narcissism—characterized by strong attachment to one’s group, exceptionalism, and grievance for recognition—offers a framework for understanding identity processes in both nonreligious groups. We examined whether agnostics and atheists exhibit collective narcissism and its forms (agentic—focused on exceptional effectiveness; communal—focused on exceptional morality) similarly to believers. We explored crossdenominational variance in agentic and communal collective narcissism levels relying on data from 77 countries (N = 3,570; 1227 agnostics, 2343 atheists). Agnostics and atheists from secular countries …

“Megadeal” Subsidies, Local Spillovers And Corporate Innovation, Yoojin Lee, Shaphan Ng, Aruhn Venkat

Research Collection School Of Accountancy

We examine whether the largest place-based, firm-specific corporate subsidies (“Megadeals”) awarded by state and local governments affect local firms’ innovation. First, we document that 1) subsidy firms innovate in the subsidized county and 2) subsidy firms bring inventors from other counties into the subsidized county, consistent with subsidy firms generating new knowledge locally. In our main test, we use a stacked cohort design with stringent fixed effects to document that local firms increase patenting following a Megadeal. Cross-sectionally, effects are increasing 1) in subsidy firm innovativeness, 2) in the technological closeness of subsidy firms and local firms, 3) when subsidy …

To Go Far, Go Together: Force2026 Brings The World’S Scholarly Communication Community To Singapore, Singapore Management University

SMU Press Releases and News

Singapore Management University Libraries (SMU Libraries) hosted FORCE2026, the annual conference of FORCE11, from 3 to 5 June 2026 in our city campus.

FORCE11 is a global community dedicated to advancing how scholarly knowledge is created, shared, and used. The conference commemorated FORCE11’s 15-year journey of building a global community committed to improving scholarly communication and research assessment.

FORCE2026 marked the first time the conference was held in Asia, positioning Singapore and SMU Libraries at the centre of global conversations on the future of research, scholarly communication and research assessment. By bringing the conference to the region, SMU Libraries …

International Advice, Mature Democracies And The Venice Commission, Maartje De Visser

Research Collection Yong Pung How School Of Law

The aim of this article is to explore the role and practice of constitutional advice-giving as it relates to mature democracies. More precisely, this article considers how the Venice Commission – the official advisory body for constitutional matters of the Council of Europe – exercises its mandate vis-à-vis such democracies through the delivery of country-specific Opinions, based on a close reading of all such Opinions rendered between 2002 and 2024. It examines the substantive focus of those Opinions, the way they engage with constitutional experiences elsewhere, as well as the tone of the assessment and the approach taken in formulating …

Moving Beyond Entry Modes: Toward A New Paradigm Of International Involvement In An Era Of Digitalization And Global Transitions, Noman Shaheer, Sali Li, Liang Chen, Keith D. Brouthers, Dan Li, Peter Liesch

Research Collection Lee Kong Chian School Of Business

We seek to reconceptualize internationalization strategy by shifting focus from static, single-entry mode choices to dynamic constellations of multiple involvement modes. In an era of rapid technological change enabled by artificial intelligence, blockchain, and robotics, geopolitical volatility fueled by trade wars and violent conflicts, and increasing sustainability demands, multinational corporations (MNCs) need to rethink how they are involved with diverse stakeholder expectations, prioritize flexibility and reversibility, and embed co-creation and legitimacy alongside efficiency. Extending Brouthers et al. (2022), we integrate transaction cost economics with resource-based, institutional, opportunity, and ecosystem perspectives to explain how MNCs configure and reconfigure various constellations of …

The External Influence Of International Business Scholarship: Growth, Stabilization, Or Decline?, Gokhan Ertug, Andrew Delios, Yi Li, Zhengchu Zhang

Research Collection Lee Kong Chian School Of Business

The influence of international business (IB) scholarship is an active debate (e.g., Bello & Kostova, 2012; Cantwell et al., 2014, 2016; Doh et al., 2023; Tung et al., 2023). Although IB research has expanded in the number of publications, in its sophistication of research design, and in its thematic breadth over the past decades, questions remain regarding its influence beyond the core ecosystem of IB journals. Anecdotally, a pessimistic view has become more commonplace. The concern is that IB has become increasingly self-referential, relying more heavily on IB-related theory extensions and context-specific settings, which could limit its resonance in the …

Extensive And Intensive Margin Labor Supply On Ride-Sourcing Platforms, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

The rapid expansion of ride-sourcing platforms has enabled freelance drivers to flexibly determine both their participation and working hours. Understanding this flexible labor supply behavior is essential for managing platform capacity and evaluating the impacts of pricing and incentive policies on driver welfare. This study develops a labor supply model in which drivers optimally choose whether to participate (extensive margin) and how long to work (intensive margin) to maximize their utility from consumption and leisure. The model incorporates heterogeneity in drivers’ other income, idle time, and participation costs, allowing us to analytically characterize equilibrium labor supply decisions. The results show …

When Politics Meets Digital Assets: Gender Identity Salience And Nft Pricing After Roe V. Wade, Xiang Liu, Yao Zhao, Ping Fan Ke

Research Collection School Of Computing and Information Systems

Major sociopolitical events can reshape public attention toward identity-related issues, potentially influencing valuation patterns in digital markets where identity-related characteristics are embedded in digital assets. Using the overturning of Roe v. Wade as an exogenous policy shock, this paper examines how gender attributes represented in non-fungible token (NFT) avatars affect market outcomes. Using transaction data from six major avatar-based NFT collections traded on Etherscan in 2022, we apply a quasi-experimental design combining propensity score matching and a difference-in-differences model. The results indicate that the policy shock significantly increased the resale prices of NFTs representing female avatars. These findings suggest that …

Scaling Up Multi-Agent Reinforcement Learning For Large Agent Teams And Long-Horizon Tasks: A Survey, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) empowers multiple autonomous agents to acquire effective policies for collaborative problem-solving. Over the last decade, MARL has seen significant advancements, with numerous algorithms achieving impressive performance across various benchmarks and real-world applications. Nevertheless, the scalability of multi-agent systems, in terms of the number of agents and the length of the task horizon, remains a critical consideration for applying MARL methods to complex problem-solving. Given that a dedicated review of the existing approaches and challenges in scaling up multi-agent systems remains largely absent, this survey aims to bridge this gap by delivering a comprehensive review of MARL …

The Stars Align: Modeling User Rating Calibration With Sparse Semantic Review Features, Rodrigo Alves, Antoine Ledent

Research Collection School Of Computing and Information Systems

User ratings are often treated as comparable across users, although identical scores may reflect different experiences. We study whether ratings can be viewed as user-specific discretizations of a shared semantic continuum derived from review text. Our method maps reviews into sparse semantic features with a sparse autoencoder and learns user-specific filters for each rating level. On Amazon Electronics, the learned embeddings align along a shared low-dimensional rating axis. Users differ mainly in how they anchor and partition this continuum, while preserving its overall ordinal structure. These findings support a semantic view of calibration beyond scalar bias correction.

Not Too Early, Not All At Once: Design Tensions In Ai-Mediated Self-Disclosure In Online Dating, Pei-Hua Tsai, Tianyi Zhang, Emran Bin Elias Poh, Anthony Tang, Yung-Ju Chang

Research Collection School Of Computing and Information Systems

Online dating relies on self-disclosure, yet initial conversations are fragile: users must navigate uncertainty around timing, boundaries, and reciprocity with little shared context. While advances in AI raise the possibility of mediating disclosure, how such support might reshape the experience of early-stage relational disclosure remains underexplored. We conducted 29 semi-structured interviews to examine how daters envision AI-mediated self-disclosure in online dating. Our findings surface recurring design tensions rather than simple opportunities or risks. Participants welcomed guidance that could pace disclosure, support reflection, and reduce social awkwardness, but stressed preserving agency and authorship. They valued interpretive assistance for sense-making of ambiguous …

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …

Parasocial Relationships With Artificial Intelligence (Ai): A Systematic Review Of Benefits And Risks, Jing Wen Hung, Charlotte K. Y. Lee, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

Advances in artificial intelligence (AI) have transformed AI systems into increasingly interactive and relational agents, raising questions about the consequences of the perceived sense of intimacy and reciprocity formed with AI systems. The present systematic review synthesised empirical evidence on the benefits and risks of AI parasocial relationships across diverse AI agents and contexts. Following PRISMA guidelines, 39 empirical records were identified and analysed using narrative thematic analysis. Through this, five key benefits of AI parasocial relationships were identified, namely personal development and adaptive functioning, emotional support, social needs fulfilment, enjoyment and entertainment, and community participation and social belonging. However, …

Daily Problematic Smartphone Use Predicts Decreases In Self-Control Capacity: Evidence From Random-Intercept Cross-Lagged Panel Model, Adalia Yin Hui Goh, Andree Hartanto

Research Collection School of Social Sciences

Amidst the widespread increase in global smartphone screen time and the phenomenon of ‘The Great Exhaustion’, where multiple surveys indicate pervasive tiredness and feelings of being drained, there is growing concern about the link between problematic smartphone use and the capacity for self-control. While numerous studies have investigated the relationship between problematic smartphone use and self-control capacity, they are mostly cross-sectional. Thus, it is unclear whether the lack of capacity for self-control is an antecedent or consequence of problematic smartphone use. Addressing the research gap, we conducted a 7-day diary study to investigate the bidirectional relationship between problematic smartphone use …

Conference Calls And Information Spillover: The Role Of Analyst Participation, Amanda Awyong, Young Jun Cho, Holly I. Yang

Research Collection School Of Accountancy

We examine the role of conference calls in creating information spillover within firms. We find that analyst participation in conference calls is positively associated with subsequent revisions in management forecasts, consistent with analysts' questions prompting managers to collect additional information. We find that this effect strengthens when analysts pose more questions on new topics and when they ask questions with abnormally positive or negative tones. We also find that analyst participation has greater effects when analysts have more experience and higher forecasting ability. Further analyses demonstrate that analyst participation is associated with higher accuracy in subsequently revised forecasts. Overall, our …

Well-Being Of University Students In Singapore, Tina Li Yi Ng, Andree Hartanto, William Tov

Research Collection School of Social Sciences

Singapore provides an insightful case study for university student well-being due to its national culture of competitiveness. Amid a meritocratic society that valorizes academic success as the path to securing one’s future (Ho et al., 1998), educational attainment is central to Singaporean university students’ well-being (Inter-University Network, 2022). In response to Singapore’s increasing incidence of mental health challenges among young adults (Ministry of Health Singapore, 2022), the government and higher education institutes have sought to destigmatize mental health and improve accessibility to related resources. In this chapter, we review the literature on the well-being of Singaporean university students. We situate …

From Review To Synthesis: A Step-By-Step Methodological Guide To Systematic Reviews And Multilevel Meta-Analyses, Meilan Hu, Paye Shin Koh, Xun Ci Soh, Andree Hartanto, Nadyanna M. Majeed

Research Collection School of Social Sciences

We provide a step-by-step guide on conducting a quantitative systematic review (i.e., meta-analysis) using the open-source programming language R, as well as conducting a multilevel meta-analysis, in contexts where effect sizes are non-independent (e.g., multiple studies from the same lab). Quantitative systematic reviews offer researchers a method for synthesizing large bodies of literature, helping clarify inconsistent findings, identify research gaps, and refine theoretical models. However, existing tutorials often assume prior knowledge and/or experience, often overlooking foundational concepts. To address this gap, a comprehensive walkthrough of the systematic review process is presented, covering pre-registration, literature search and retrieval, screening, risk of …

The Emerging Roles Of Ai In Self-Directed Stress Management: Systematic Review, Mary Kamillah Grace Reyes, Shauna Sha Min Teo, Andree Hartanto

Research Collection School of Social Sciences

Background: Stress is widespread and carries substantial mental health, social, and economic burdens. Yet, access to clinician-led stress management remains constrained by service capacity, cost, and stigma. In response, artificial intelligence (AI)–enabled tools have rapidly proliferated as scalable, self-directed options. However, evidence on how these systems support stress management outside formal clinical settings remains fragmented. Objective: This systematic review aimed to synthesize empirical evidence on how AI-enabled technologies are used for self-directed stress management. We mapped the emerging functions of these tools, the psychological frameworks informing their design, the populations and settings studied, and the outcomes reported. Methods: We conducted …

Ai Fatigue In Human–Ai Interaction: Conceptual Framework, Scale Development And Validation, And Associations With Ai Engagement, Gabriel R. Lau, K. T. A. Sandeeshwara Kasturiratna, Adalia Y. H. Goh, Eddie M. W. Tong, Andree Hartanto

Research Collection School of Social Sciences

Emerging from the accelerating pace of AI development, user fatigue arising from prolonged human–AI interaction has become an increasing concern in public discourse. This growing attention underscores the need to clarify why sustained engagement with AI systems can generate psychophysiological strain and how such exhaustion manifests in users. The present research develops a conceptual framework for AI fatigue and introduces the 15-item AI Fatigue Scale as a validated tool for examining its correlates. Across four studies with 717 participants, we generated and content-validated an item pool, identified and confirmed a four-factor (cognitive, emotional, physical, behavioural) higher-order model. The scale demonstrated …

Just-In-Time Brokerage: Commodifying Women’S Casual Labor In China’S Capitalist Agriculture, Hui Ma, Qian Forrest Zhang

Research Collection School of Social Sciences

What social processes are required not only to recruit workers, but to repeatedly assemble and deliver labor power as a usable commodity in the specific quantity, quality, and timing demanded by capitalist production? In the commercial mushroom cultivation in rural China studied here, this problem is solved through a distinctive form of informal intermediation – just-in-time brokerage – carried out by female labor brokers who organize the supply of village women’s casual labor. Drawing on qualitative field research, we show that brokerage here goes beyond recruiting semi-proletarianized rural women into wage work and revolves primarily around “provisioning”: assembling packages of …

Drone Urbanisms, Siew Ying Shee

Research Collection School of Social Sciences

Across contemporary cities, unmanned aerial vehicles (UAVs) particularly drones have emerged as critical instruments for sensing, visualizing, and reconfiguring the built environment. Yet, urban space is not merely a passive backdrop for drone activity; it both shapes and is reshaped by them. The central question for understanding drone urbanism, then, is not only what drones do, but how their deployment redistributes the agency to see, know, and intervene across human operators, infrastructures, and algorithms.This renegotiation of visibility, authority, and knowledge takes shape through the ways drones mediate the governance and experiential textures of the city. Departing from the distant totalities …

Engineering Immunity? Biotechnical Governance And The Experimental Failures Of Project Wolbachia In Singapore, Siew Ying Shee, Orlando Woods, Sayd Randle

Research Collection School of Social Sciences

This paper introduces the idea of ‘experimental failure’ to critically interrogate the limits of engineering biological systems for urban governance. Whilst experimentation through projects related to smart cities and eco-cities has garnered significant attention, biotechnical experiments––which manipulate living organisms through technology––remain underexplored. Unlike interventions leveraging non-living, inanimate systems, engineering life must contend with ecological ‘unruliness’ and social uncertainties. These complexities often resist straightforward quantification and exceed conventional evaluation frameworks, demanding a rethinking of what constitutes ‘success’ and ‘failure’ in such interventions. Drawing on ethnographic research with public health officers, pest management professionals and residents in Singapore, we analyse the government-led …

Calibrations And Compliance: The Role Of Motivations In Policy Instrument Design, Panchali Guha, Ishani Mukherjee

Research Collection School of Social Sciences

Most research on the role of policy calibrations in fostering policy target compliance has focused on the calibration of incentives and deterrents; less attention has been paid to examining the deployment and calibration of a wider range of policy instruments with the intention of eliciting a greater degree of compliance from policy targets with heterogeneous motivations. This article addresses this gap in the literature by empirically testing multiple hypotheses on the relationship between the calibration of different kinds of policy instruments and policy compliance for policy targets characterized by different motivations. Using data from a vignette experiment set in the …

Dementia, Advance Directives, And Second-Order Volitions, Rand Hirmiz

Research Collection School of Social Sciences

This paper contributes to the ongoing debate over the authority of advance directives in cases where patients with dementia express desires that conflict with their earlier wishes. Drawing on Harry Frankfurt’s concept of second-order volitions, I argue that the preferences of the pre-dementia self (the “then-self”) should, in most cases, take precedence over those of the post-dementia self (the “now-self”) –  particularly in instances where the now-self has lost the capacity to form second-order volitions and is no longer able to meaningfully repudiate prior values and commitments.