Digital Commons Network^™

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 …

Less Is More: Docstring Compression In Code Generation, Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Xin Zhou, Ke Liu, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

The widespread use of Large Language Models (LLMs) in software engineering has intensified the need for improved model and resource efficiency. In particular, for neural code generation, LLMs are used to translate function/method signature and DocString to executable code. DocStrings, which capture user requirements for the code and are typically used as the prompt for LLMs, often contain redundant information. Recent advancements in prompt compression have shown promising results in Natural Language Processing (NLP), but their applicability to code generation remains uncertain. Our empirical study shows that the state-ofthe-art prompt compression methods achieve only about 10% reduction, as further reductions …

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 …

Fcghunter: Towards Evaluating Robustness Of Graph-Based Android Malware Detection, Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen

Research Collection School Of Computing and Information Systems

Graph-based detection methods leveraging Function Call Graph (FCG) have shown promise for Android malware detection (AMD) due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent approaches evaluate the robustness of FCG-based detectors using adversarial attacks, their effectiveness is constrained by the vast perturbation space, particularly across diverse models and features. To address these challenges, we introduce FCGHunter, a novel robustness testing framework for FCG-based AMD systems. Specifically, FCGHunter employs innovative techniques to enhance exploration and exploitation within this huge search space. Initially, it identifies critical …

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 …

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

Essays On Public Policy And Health Outcomes: Unintended Consequences And The Cost Of Influence, Wenhan Yan

Dissertations and Theses Collection (Open Access)

This dissertation investigates the complex behavioral responses to public policy shifts and institutional cues, quantifying their intended and unintended societal impacts. Across two distinct empirical contexts, this research examines how individuals adapt their risk profiles when signals from political or legal authorities change and how these adaptations generate measurable externalities.

The first chapter, "From Punishment to Treatment: Unintended Social Impacts of Changing Drug Policies," shifts the focus to the intersection of health policy and criminal justice. This chapter evaluates the sudden transition from punitive drug enforcement to health-oriented decriminalization, utilizing the 2021 State v. Blake decision in Washington as a …

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 …

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, …

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 …

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 …

Old Signals, New Era: Reconsidering How Customer Satisfaction And Employee Satisfaction Impact Shareholder Wealth, Cesar Zamudio, Suyun Mah, Vanitha Swaminathan

Research Collection Lee Kong Chian School Of Business

Extant research suggests that higher levels of customer and employee satisfaction signal a firm’s competitive advantage, resulting in greater firm value. This article advances the understanding of how firms can manage customer satisfaction and employee satisfaction to increase shareholder wealth in a new environment due to the emergence of social media and a new class of retail investors. Drawing from stakeholder theory and signaling theory, we argue that inconsistency in customer satisfaction and employee satisfaction can be informative to investors and lead to greater shareholder wealth in such a new environment. Our findings demonstrate that there is a negative joint …

There Is No One-Size-Fits-All Approach To Sovereign Finance, Guan Seng Khoo, Annie Koh

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Professor Emeritus of Finance (Practice) Annie Koh and Khoo Guan Seng, Asia-Pacific advisory council member of the SWF Academy and EU-Asean Centre, opined that in a volatile world, the strength of a sovereign wealth fund lies in its ability to fulfil its specific, sovereign purpose. Prof Koh and Mr Khoo said that sovereign wealth funds are bespoke instruments of national policy, and in the world of sovereign capital, one size does not, and cannot, fit all. They noted that each fund is a reflection of a country’s unique ambitions, its resource endowments and its specific fears …

Situation Descriptions In Situational Judgment Tests: A Matter Of Including Trait-Relevant Situational Cues?, Philipp Schapers, Stefan Krumm, Filip Lievens, Jan-Philipp Freudenstein, Julian Schulze, Cornelius J. Konig

Research Collection Lee Kong Chian School Of Business

SJTs have traditionally been conceptualized as low-fidelity simulations of how respond to work-related situations. Yet, several studies demonstrated that situation descriptions were necessary to solve some SJT items, whereas they were not needed for other SJT items. So far, no solid support was found for various factors (e.g., item characteristics, presentation format, instructions, and content domain) that make some situation descriptions relevant and others irrelevant for responding to SJT items. Building on trait activation theory, we posit that trait-relevant situational cues serve as an ignored factor in SJT situation descriptions. Across two main studies (N-1 = 269, N-2 = 1,092), …

Business Schools In The Internal Environment: What Should Schools Do Now?, Kai Peters, Howard Thomas, Michael Thomas

Research Collection Lee Kong Chian School Of Business

In our previous article, we set out to explore external factors (Brexit, the pandemic, technological change and nationalism) which have made life more difficult for business schools. In this follow-up, we explore challenges of our own making within business schools, especially those that are a part of a larger university. We posit that many of us are not financially savvy, running too many under-scaled and poorly costed programmes. We see extensive university centralisation and related risk aversion. We see schools scheduling programmes for their own preference, not the preference of students. In conclusion, we propose some ways forward.

Agency Mbs As Safe Assets, Zhiguo He, Zhaogang Song

Research Collection Lee Kong Chian School Of Business

Measured as yield spreads against Treasury securities and AAA corporate bonds, the convenience premium of newly issued agency MBS averages more than half of the long-term Treasury convenience premium. The agency MBS convenience premium and issuance amount vary negatively with mortgage rate, consistent with a prepayment-driven channel. Placing agencies into conservatorship in 2008 and introducing liquidity regulations in 2013 significantly affected MBS convenience premium, consistent with government guarantee and regulatory treatment channels. Analyses of dispersion of dealers’ prepayment forecasts, seasoned MBS, and investors’ MBS holdings deliver further economic implications for agency MBS as safe assets.

A Social Norm Perspective On Distorted Information In China, Zhe Li, Massimo Massa, Nianhang Xu, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Can social norms give rise to distorted information in China? We observe that China’s leading social norm related to alcohol consumption and social drinking enhance earnings management. An analysis of toxic alcohol scandals supports a causal interpretation. Further evidence suggests that the influence of alcohol may come from the negative externality that it creates, which is propagated by corporate leaders and cannot be attenuated by market-oriented institutions. Our results reveal a social norm externality that may have important normative implications.

Are Less Hierarchical Firms Organized Around Stronger Cultures? Evidence From Big Data, Arianna Marchetti, Phanish Puranam

Research Collection Lee Kong Chian School Of Business

Research Summary: Are less hierarchical firms organized around stronger cultures instead? We analyze 1.5 million employee reviews on Glassdoor.com from 23,000 US-based firms, alongside data on managerial hierarchy estimated from 42 million professional social media profiles. Our findings confirm a negative association between managerial hierarchy and organizational culture strength. We explore two potential explanations for this association: Functional equivalence between the two, and culture fragmentation caused by managerial hierarchy. Multiple correlational tests show support for functional equivalence as a plausible explanation for the observed negative correlation. Our findings enhance our understanding of the complex relationships between organizational structure and culture …

The Effects Of Linguistic Ostracism On Job Performance. A Replication And An Extension, John Fiset, Devasheesh P. Bhave

Research Collection Lee Kong Chian School Of Business

We examined the phenomenon of linguistic ostracism—instances where a focal workgroup member perceives other members of their workgroup have rejected and/or excluded them by using a language they cannot comprehend. In a 2021 article, Fiset and Bhave observed that linguistic ostracism was related to two dimensions of job performance (interpersonal citizenship and deviance) and that disidentification served as an explanatory mechanism for the linguistic ostracism–job performance relationship. We constructively replicate and extend their work in several ways. First, we replicate prior effects on interpersonal citizenship and deviance and extend their work to focus on a third dimension of job performance: …

Eliciting Supplier Cooperation For Value Chain Decarbonization: A Field Experiment With Smallholder Farmers In India, Sukti Ghosh, Jasjit Singh

Research Collection Lee Kong Chian School Of Business

Many firms are pledging to reduce greenhouse gas emissions across their value chains. However, this requires their suppliers to also adopt more climate-friendly practices for decarbonization. This can involve addressing gaps in not only the suppliers’ ability but also their willingness to adopt such practices, which can be challenging if the suppliers perceive the practices as risky or potentially detrimental to their economic well-being. We examine the effectiveness of relational investments to help mitigate this challenge, arguing that relational investments can serve as a signal of the firm’s commitment towards joint value creation. In a field experiment conducted with supplier …

The Distinctiveness Effect: How Cross-Country Dissimilarities Influence Governance Decisions, Ilya Cuypers, Gokhan Ertug, Niels G. Noorderhaven, Korcan Kavusan

Research Collection Lee Kong Chian School Of Business

Transaction cost theory is one of the most commonly used theories to explain how firms govern their economic activities. In the context of cross-border collaborations, transaction cost theory proposes that dissimilarities between the partners’ home countries, which constitute a key source of behavioral uncertainty, affect how collaborations are governed (i.e. whether firms opt for equity joint ventures or non-equity alliances). Although many firms are likely to face more than one dimension of dissimilarity—for example, in terms language and religion, as well as culture—studies in transaction cost theory typically focus on how each source of dissimilarity impacts governance choices independently, in …

Corrigendum To “Interim Rationalizable Implementation Of Functions” (Kunimoto T, Saran R, Serrano R (2024) Mathematics Of Operations Research 49(3):1791–1824), Takashi Kunimoto, Rene Saran, Roberto Serrano

Research Collection School Of Economics

This is the brief corrigendum to “Interim rationalizable implementation of functions” [Kunimoto T, Saran R, Serrano R (2024) Interim rationalizable implementation of functions. Math. Oper Res. 49(3):1791–1824].

The Asymmetric Effects Of Posting An Online Review On Future Spending And The Dark Side Of Solicitations, Hulya Karaman

Research Collection Lee Kong Chian School Of Business

Motivated by the prevalence of online review creation and solicitation, this paper examines whether posting an online review impacts the reviewer’s future spending on the reviewed brand. Identifying the causal effects of posting an online review is challenging because reviewers self-select into posting, making it an endogenous decision. I overcome this challenge by using randomized online review solicitations as an instrument for the endogenous treatment variable of posting an online review and establish that doing so decreases the average future spending by the reviewers on the reviewed brand. Additionally, I show that soliciting customers to post increases their propensity to …

Perceptions Of Game-Based Assessments: The Role Of Test Takers' Occupational Background, Marie L. Ohlms, Klaus G. Melchers, Filip Lievens

Research Collection Lee Kong Chian School Of Business

Game-based assessments (GBAs) have become increasingly popular in personnel selection. However, research on perceptions of GBAs has yielded mixed results, highlighting the need to explore variables that may shape perceptions of GBAs. Therefore, we examined whether test takers' occupational background and other person-related characteristics (i.e., gender, age, video game usage, openness to experience) are associated with their perceptions of GBAs. N = 179 individuals from technical and social occupational backgrounds rated their perceptions of GBAs and non-gamified tests. We found that GBAs were generally rated more positively than non-gamified tests in terms of organizational attractiveness, behavioral intentions toward the organization, …

Bridging Policy And Grassroots Action With Technology: A Framework For Civic Engagement In Environmental Sustainability, Mikhail Ola Adisa, Sonny Rosenthal, Shola Oyedeji, Ifeoma Adaji, Jari Porras

Research Collection College of Integrative Studies

Grassroots and civic organizations are increasingly recognized as “middle actors” in sustainability, leveraging ICT-driven solutions to bridge top-down policies with bottom-up citizen engagement and behavioral change. This study examines how civic organizations in Finland and Singapore integrate digital tools to support sustainable waste management practices aligned with Sustainable Development Goals 11, 12, and 17. Guided by a Design Science Research (DSR) approach and drawing on Middle-Out and multi-level governance theories, we developed and validated the Integrated Sustainability Engagement Framework (ISEF) based on interviews with 21 civic organizations and iterative feedback. Findings highlight the central roles of policy translation, localized practices, …

Grounding Is All You Need? Dual Temporal Grounding For Video Dialog, You Qin, Wei Ji, Xinze Lan, Hao Fei, Xun Yang, Dan Guo, Roger Zimmermann, Lizi Liao

Research Collection School Of Computing and Information Systems

In the realm of video dialog response generation, capturing both the essence of video content and the temporal nuances of conversation history is crucial. While some approaches rely on large-scale pretrained visual-language models, often neglecting temporal dynamics, others emphasize spatial-temporal relationships within videos but demand intricate object trajectory pre-extractions and overlook dialog temporal dynamics. This paper introduces the Dual Temporal Grounding-enhanced Video Dialog model (DTGVD), designed to bridge the gap between these two approaches. DTGVD uniquely integrates the strengths of both by emphasizing dual temporal relationships. It achieves this by predicting dialog turn-specific temporal regions, selectively filtering video content, and …

Learnable Game-Theoretic Policy Optimization For Data-Centric Self-Explanation Rationalization, Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li

Research Collection School Of Computing and Information Systems

Rationalization, a data-centric framework, aims to build self-explanatory models to explain the prediction outcome by generating a subset of human-intelligible pieces of the input data. It involves a cooperative game model where a generator generates the most human-intelligible parts of the input (i.e., rationales), followed by a predictor that makes predictions based on these generated rationales. Conventional rationalization methods typically impose constraints via regularization terms to calibrate or penalize undesired generation. However, these methods are suffering from a problem called mode collapse, in which the predictor produces correct predictions yet the generator consistently outputs rationales with collapsed patterns. Moreover, existing …

Vercation: Precise Vulnerable Open-Source Software Version Identification Based On Static Analysis And Llm, Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun

Research Collection School Of Computing and Information Systems

Open-source software (OSS) has experienced a surge in popularity, attributed to its collaborative development model and cost-effective nature. However, the adoption of specific software versions in development projects may introduce security risks when these versions bring along vulnerabilities. Current methods of identifying vulnerable versions typically analyze and extract the code features involved in vulnerability patches using static analysis with pre-defined rules. They then use code clone detection to identify the vulnerable versions. These methods are hindered by imprecision due to (1) the exclusion of vulnerability- irrelevant code in the analysis and (2) the inadequacy of code clone detection. This paper …

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 …

Exploring Jvm Garbage Collector Testing With Event-Coverage, Kai Zheng, Yingquan Zhao, Junjie Chen, Hanmo You, Haoyu Wang, Haoyu Wang, Tianchang Gao

Research Collection School Of Computing and Information Systems

Garbage Collection (GC) in the Java Virtual Machine (JVM) serves as an automatic memory management mechanism, efficiently reclaiming unused memory space in different production scenarios. To optimize JVM performance, developers typically fine-tune the garbage collector by identifying an optimal set of GC configurations for specific scenarios. Despite the sophisticated design of garbage collectors, they still have the potential for bugs in different settings, and these bugs can result in more severe consequences. Hence, comprehensive testing of these garbage collectors is imperative before their release. Code coverage criteria are typically employed to assess the comprehensiveness of a test suite. However, traditional …