Singapore Management University

Analyst visibility and earnings forecast quality

Abstract This study examines how a reduction in analysts’ visibility, resulting from brokerages’ switch to anonymous forecasts on Eikon, affects earnings forecast quality. Using a difference-in-differences design, we find that treatment analysts respond by issuing more accurate f...

FaceValue: Exploring Real-Time Self-View Overlays to Prompt Meaning-Oriented Self-Awareness in Remote Meetings

In remote video meetings, visual non-verbal cues, such as facial expressions or head movements, are seen continuously but often only partially. This increases ambiguity compared to in-person settings and can cause misinterpretation or misalignment between intended and perceived m...

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

Model inversion attacks (MIAs) aim to reconstruct private images from a target classifier's training set, thereby raising privacy concerns in AI applications. Previous GAN-based MIAs tend to suffer from inferior generative fidelity due to GANs’ inherent flaws and biased optimizat...

Beyond deception: fighting scams in an age of digital inauthenticity

Scams are not isolated criminal events but the most damaging expressions of the “Age of Inauthenticity,” in which generative AI, synthetic media, and platformed deception have made fabricating identity, evidence, and trust trivially cheap. We argue that fighting scams requires mo...

From Trees to Treewidth: Inventory Management in Complex Supply Chain Networks

We propose an exact linear programming (LP)-based solution approach to the Guaranteed Service Model (GSM), one of the most widely applied models for optimizing safety stock placement in supply chain networks. Our approach handles any directed acyclic network and any cost function...

Hy-SAN: a hybrid shape-aware network for artifact-suppressed sparse-view computed tomography of through-silicon vias

High-throughput and non-destructive inspection of Through-Silicon Vias (TSVs) is a critical task in advanced semiconductor packaging. Sparse-view X-ray Computed Tomography (XCT) can accelerate TSV inspection but suffers from strong artefacts in analytical reconstructions and stru...

Myopic Expansions on Digital Platforms

Digitization has enabled modern firms to expand at unprecedented rates, but there are downsides to rapid expansion. Prior research has highlighted how digital platforms facilitate mass-market expansions by resolving frictions associated with market entry. Accordingly, various stu...

Far From Home? Accessing Everyday Places in Rural and Urban Communities

OBJECTIVES: Rural residents are believed to experience greater social isolation than their urban counterparts. This isolation is typically attributed to the structural conditions that distinguish rural communities from urban communities. In the present study, we direct attention...

Connectivity and Selective Rural Migration

ABSTRACT How does infrastructure shape rural development? Using household panel data from a nationally representative sample of Chinese villages, matched to high‐resolution highway maps, we find that road expansion between 2000 and 2015 operates mainly through reallocation, with...

Reassessing Margin Squeeze Jurisprudence in India after CCI v. Schott Glass

Margin squeeze has long been recognised as a potential form of exclusionary conduct under competition law. Traditionally associated with network industries such as telecommunications, the doctrine has generated extensive scholarship concerning its relationship with refusal to dea...

How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies

Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data fro...

From Governance Signalling to Supplier Implementation: Supplier Sustainability Governance Among Singapore Exchange‐Listed Firms

ABSTRACT Public reporting among Singapore Exchange‐listed firms now presents supplier sustainability governance with considerable visibility, although whether that visibility reflects institutionalised supplier control rather than disclosure alignment remains uncertain. This stud...

Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead

Code generation represents a critical intersection of Software Engineering (SE) and Artificial Intelligence (AI). Within this broader landscape, Verilog, as a representative hardware description language (HDL), is fundamental to Electronic Design Automation (EDA), recent research...

From open banking to banking-as-a-service: regulatory challenges in the evolution of financial intermediation

Over the past decade, financial innovation has moved from open banking, centred on consumer-permissioned data sharing, to banking-as-a-service (BaaS), which modularizes core banking functions through application programming interfaces. This shift allows fintechs and non-financial...

Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation

Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints prevent multi-institutional data sharing. As a result, these models often generalize poorly across...

A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties

Abstract. The proximal stochastic gradient method ([Formula: see text]) is one of the state-of-the-art approaches for stochastic composite-type problems. In contrast to its deterministic counterpart, [Formula: see text] has been found to have difficulties with the correct identif...

AI failures in the eyes of the downstream developer: a first look at concerns, practices, and challenges

Abstract With the advancement of AI models, more software systems are adopting AI as a component to facilitate automation. Pre-trained models (PTMs) have become a cornerstone of AI-based software, allowing for rapid integration and development with lower training cost. However, t...