Digital Commons Network^™

Tuned Out Or Dialed In: How Attributions Shape Observer Reactions To Music Listeners At Work, Oguz Gencay, Trevor Foulk, Michael Schaerer

Research Collection Lee Kong Chian School Of Business

Music listening while working is prevalent in contemporary workplaces, with extensive research demonstrating its psychological and behavioral implications. Shifting focus from intra-individual outcomes, the present research examines the social implications of music listening at work. To do so, we adopt a novel third-party perspective to investigate how observers perceive and react to music listeners. Building on attribution theory, we argue that music listening is an ambiguous behavior that invites observers to make leisure or productivity attributions, thereby shaping how they perceive and treat music listeners. We hypothesize that observers perceive music listeners (vs. non-listeners) as less engaged if they attribute …

Queuing Uncertainty Of Limit Orders, Bart Yueshen Zhou

Research Collection Lee Kong Chian School Of Business

Limit orders submitted around the same time are subject to random latencies and will be queued accordingly. In equilibrium, end-of-queue limit orders always lose money—the liquidity supply appears excessive. The model generates empirical predictions regarding such “overshooting” liquidity: (i) new limit orders appear fleeting—clustered submissions are followed by immediate cancellations, (ii) the resulting cancel-to-add count ratio reflects adverse selection, and (iii) the cancel-to-add size ratio measures high-frequency market-making activity. Welfare can be hurt by the overshooting liquidity if it induces excessive speculation. Overall, the model contributes to a more comprehensive understanding and better utilization of order book data.

The Political Economy Of Mandatory Disclosure: A Literature Review, Hao Liang, Hanyu Zhang

Research Collection Lee Kong Chian School Of Business

Reviewing the literature on mandatory corporate disclosure from a political economy perspective, we synthesize the classic justifications for disclosure regulations while emphasizing why voluntary disclosure often fails to achieve socially efficient transparency. We also highlight how legal institutions, enforcement capacity, and political forces shape the design, credibility, and effectiveness of disclosure mandates. Drawing on evidence from international and China-focused studies, we review empirical findings on how mandatory disclosure affects investor protection, information environments, and firm behavior, showing that similar reporting rules yield different outcomes across institutional settings. We further extend the discussion to ESG and climate-related disclosure to examine emerging …

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 …

Perspectives On Interpretability For Neural Text Representations, Jia Peng Lim

Dissertations and Theses Collection (Open Access)

In this dissertation, we investigate interpretability in the three elements of learning neural text representations: inputs, passed into models, to produce probabilistic outputs. We emphasise perspectives as we present alternative novel methods to mine and organise meaning in this work.

Models. We initiate our investigation by examining Neural Topic Models (NTM), proposing an alternate angle of interpreting its word-topic distribution, producing better topic representations for interpretation. Our method maps the problem of finding these better interpretations to classical NP-hard graph problems, enabling examination of topic distributions in a composite manner. Next, we apply our previous findings to extract interpretations from …

Leading Ai Adoption In Organizations: Introducing A Behavioral Human-Centered Approach, Shane Schweitzer, Devesh Narayan, Jack Mcguire, David De Cremer

Research Collection Lee Kong Chian School Of Business

Initiatives to implement AI technologies in organizations fail at an alarming rate. We argue that leading the adoption of AI is not a simple engineering exercise but rather represents a behavioral exercise where change management principles—the process by which organizations plan, implement, and embed changes in practices—are employed. However, many AI initiatives in business focus predominantly on the AI systems themselves, assuming humans will fall in line. To solve this, we integrate ideas from change management with scholarship on human-centered artificial intelligence to offer a behavioral approach that accounts for the impact of AI adoption on humans at all stages …

Mease: Multi-Agent Episodic Action Sequence Explanation, Phyo Wai Khaing, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) achieves remarkable performance in complex coordination tasks, yet interpreting the emergent behaviors of trained agents remains a fundamental challenge. Most current explainability methods focus on individual agent decisions, overlooking the critical interplay of joint strategiesand temporal coordination patterns that define successful multi-agent policies. We present MEASE (Multi-agent Episodic Action Sequence Explanation), a novel explainable MARL (XMARL) framework that explains trained MARL policies as human-interpretable emergent cooperative joint behaviors. MEASE employs a cognition-inspired episodic memory model to learn spatio-temporal multi-agent interaction patterns, coupled with abstraction algorithms that identify significant cooperative agent behaviors. We evaluate MEASE on diverse …

Quantitative Bounds On Resource Usage Of Probabilistic Programs, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Tobias Meggendorfer, Dorde Zikelic

Research Collection School Of Computing and Information Systems

Cost analysis, also known as resource usage analysis, is the task of finding bounds on the total cost of a program and is a well-studied problem in static analysis. In this work, we consider two classical quantitative problems in cost analysis for probabilistic programs. The first problem is to find a bound on the expected total cost of the program. This is a natural measure for the resource usage of the program and can also be directly applied to average-case runtime analysis. The second problem asks for a tail bound, i.e. ‍given a threshold t the goal is to find …

Market Reactions To Deceptive Language In Fake News: Implications From Language Expectancy Theory And Transfer Learning, Ka Chung Ng, Ping Fan Ke, Ping Fan, Mike So, Tam, Kar Yan

Research Collection School Of Computing and Information Systems

The advent of generative artificial intelligence (AI) has heightened the proliferation of fake news. A key challenge is the limited real-world data to investigate the societal impact of fake news produced by generative AI. In this paper, we examine stock market reactions to financial news articles that exhibit stylometric similarity to human-crafted and AI-crafted fake financial news. Grounded in language expectancy theory, we employ a style-based transfer learning model, pre-trained to recognizing deceptive language employed in various types of fake news intricacies. We then apply this model to a comprehensive dataset of financial news, assigning a “veracity style score” to …

Open Source Software Development Tool Installation: Challenges And Strategies For Novice Developers, Larissa Salerno, Christoph Treude, Patanamon Thongtanunam

Research Collection School Of Computing and Information Systems

As the world of technology advances, so do the tools that software developers use to create new programs. In recent years, software development tools have become more popular, allowing developers to work more efficiently and produce higher-quality software. Still, installing such tools can be challenging for novice developers at the early stage of their careers, as they may face issues such as compatibility problems (e.g., with operating systems) and unclear instructions. Therefore, this work aims to investigate the challenges novice developers face when installing software development tools and the strategies they employ to overcome them. To investigate these, we conducted …

Fighting Against Recruitment Scams: Theory-Driven Supervised Learning And Empirical Analysis For Digital Fraudulent Recruitment Posting Behavior, Tom (Tianteng) Wang, David (Jingjun) Xu, Keng Siau, Zhongju (John) Zhang

Research Collection School Of Computing and Information Systems

The number of recruitment postings on digital recruitment hiring platforms has increased since the COVID-19 pandemic. However, the weak surveillance and operations of these platforms, combined with the fact that most job seekers have relatively low vigilance and a strong desire for recruitment offers, enable scammers to easily deceive job seekers for their money and confidential information. In this work, we combine prevailing text mining techniques (i.e., ChatGPT with prompting engineering and supervised machine learning) with interpersonal deception theory (IDT) from social science to design an interpretable IT system to predict fraudulent recruitment postings on digital recruitment-hiring platforms. We compare …

Gencode: A Generic Data Augmentation Framework For Boosting Deep Learning-Based Code Understanding, Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao

Research Collection School Of Computing and Information Systems

Pre-trained code models lead the era of code intelligence, with multiple models designed with impressive performance. However, one important problem, data augmentation for code data that automatically helps developers prepare training data lacks study in this field. In this paper, we introduce a generic data augmentation framework, GenCode, to enhance the training of code understanding models. Simply speaking, GenCode follows a generation-and-selection paradigm to prepare useful training code data. Specifically, it employs code augmentation techniques to generate new code candidates first and then identifies important ones as the training data by influence scores. To evaluate the effectiveness of GenCode, we …

Causality-Driven Test Case Minimisation For Cyber-Physical Systems, Michael Foster, Christopher M. Poskitt, Nicholas R. Latimer, Neil Walkinshaw, Richard Somers, Robert M. Hierons

Research Collection School Of Computing and Information Systems

Cyber-physical systems allow digital control systems to interact with the physical world using sensors and actuators. They are increasingly being used to automate critical infrastructure, where software faults can have dire consequences. Due to the complex nature and unpredictability of these systems, their resilience is often tested using a technique called fuzzing, which generates quasi-random sequences of sensor and actuator manipulations with the goal of forcing a system into unsafe states. However, there is currently no way of determining which manipulations of a test case cause a failure without systematically removing each one and re-running the test, which can be …

Func: Reducing The Impact Of Android Framework Evolution On Malware Detection, Hailong Yu, Tiantian Wang, Lwin Khin Shar, Hanmeng Li, David Lo

Research Collection School Of Computing and Information Systems

Android malware detection approaches commonly use APIs and permissions as features for classifying malware. However, since the release of the first Android operating system in 2008, the Android framework has undergone numerous version updates. The evolution of the Android framework over time has led to changes in APIs and permissions, including deprecations and replacements. These changes can result in inaccurate characterization of Android malware, thereby affecting performance of malware detectors. There is a lack of methods to mitigate the impact of Android framework evolution on malware detection. To fill this gap, we conduct a systematic study of the impact of …

Outcomes Associated With Childhood Parental Divorce: An Umbrella Review Of Meta-Analyses, Gabriel Xing Da Tan, Andree Hartanto, Ysabel Thereze Ang Guevarra, Angel K. M. P. Lee, Jing Jie Kenneth Koh, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna

Research Collection School of Social Sciences

Background: Childhood parental divorce has been consistently associated with a host of negative outcomes across multiple domains, such as socioemotional, behavioural, academic, and physical health, which can persist into adulthood. Despite extensive research on childhood parental divorce, the current literature lacks a systematic, integrated synthesis that clarifies which child outcomes are most consistently associated with parental divorce, as well as the potential moderators influencing these associations. Therefore, we conducted an umbrella review of meta-analyses to bridge this gap by consolidating the existing research and providing an exhaustive overview. Methods: Systematic searches were conducted across various databases and following a two-stage …

The Smallholder’S Dilemma In Agroecological Transitions: The Diseconomy Of Agroecology For Small Farmers In Industrial Agriculture, Qian Forrest Zhang

Research Collection School of Social Sciences

A scalar contradiction exists between agroecology's three goals: while ecological sustainability is best pursued at the landscape scale, social equity and livelihood goals often require organizing production at the small scale of family farms. In China's ‘industrial agriculture of small farmers’, ecological farming practices became economically unviable at small farmers' minuscule scales. Agroecological transitions almost always first go through a scale expansion, a process fraught with tension. The empirical analysis focuses on three ‘ecological farms’ that enjoyed favorable conditions unattainable to smallholders. Yet, lock-ins across five dimensions have either made their operations economically unsustainable or forced compromises in agroecological principles.

Perception Of Socioeconomic Status: A Meta-Analysis Of Manipulations, Jacinth Jia Xin Tan, Yong En Amos Tai

Research Collection School of Social Sciences

The causal effects of one’s socioeconomic status (SES) on outcomes are typically examined by experimentally manipulating SES self-perceptions based on one of three SES dimensions—absolute resource, relative resource, and general social position. We investigated the efficacy of these manipulations by systematically meta-analyzing their effects on SES self-perceptions. Based on 107 eligible samples (N = 26,203), manipulations of SES self-perceptions across the three SES dimensions were effective overall (g = 0.56–0.95). Explicit priming of absolute resource and relative resource manipulations comparing high versus low SES were consistently effective—although bias-corrected effects were attenuated—suggesting the importance of salient SES information and social comparisons. …

Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong

Research Collection School of Social Sciences

Concerns are growing that social media, with its constant notifications and attention-grabbing content, may distract individuals and hinder progress toward important goals. Despite its pervasive presence in our lives, the impact of social media on goal achievement has not been thoroughly studied. This within-subject experimental study aims to investigate the effects of social media hiatus (SMH), a short abstinence from social media usage, on goal pursuit processes. Participants (N= 107) completed daily diaries over three consecutive days of SMH and three days of regular social media use. SMH was manipulated by blocking participants’ access to multiple social media platforms. The …

Meritocracy And Equal Access To The Public Sector: A Comparative Analysis Of Accessibility To Public Sector Jobs And Public Services, Beomgeun Cho, Heasun Choi

Research Collection School of Social Sciences

This study investigates the impact of meritocracy on equal access to the public sector, focusing on public sector employment and services. While meritocratic principles promote impartiality and fairness in administrative processes, their effectiveness in improving equal accessibility remains understudied and contested. Drawing on the literature linking meritocracy to democratic stability, we argue that strong meritocratic systems enhance equal access to the public sector regardless of social groups and gender by fostering professional stewardship in the bureaucracy and strengthening checks and balances between bureaucrats and politicians. Our findings, drawn from a panel dataset consisting of 161 countries over 49 years, suggest …

The Effect Of A 14-Day Digital Nudge-Based Sleep Hygiene Intervention On Behavioural, Cognitive, And Emotional Well-Being In College Students: An Experimental Approach, Tracy X. Chen, Chi-Ying Cheng, Michelle Koay, Chin Boon Soh, Andree Hartanto

Research Collection School of Social Sciences

Sleep is essential for one's cognitive, psychological, and physical health. Yet, college students often face sleep deprivation due to academic demands, social obligations, and extracurricular commitments. This study implemented a 14-day Digital Nudge-Based Sleep Hygiene Intervention, delivered via a digital platform, to encourage healthier sleep practices among college students. Grounded in nudge theory, the digital intervention used subtle behavioural prompts to improve participants' sleep hygiene without imposing restrictions, demonstrating high adherence and scalability. Participants were guided through daily tasks to enhance autonomy and motivation, such as creating calming bedtime routines. The digital intervention led to positive outcomes across four domains: …

Brief Virtual Reality And Mixed Reality Mindfulness Breathing Exercise For Emotional Well-Being And Cognitive Functions In University Students: Within-Subjects Experimental Design Study, Zoey Khai Yee Eun, Charmaine Jiali Koh, Hwajin Yang, Adalia Yin Hui Goh, Meilan Hu, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

Background: Mindfulness has been shown to enhance emotional well-being and cognitive performance, yet much of this evidence stems from interventions requiring prolonged practice, making them time-consuming and less accessible. Recent studies suggest that brief mindfulness sessions may also yield positive outcomes, but the effectiveness of such interventions in virtual reality (VR) and mixed reality (MR) remains underexplored. Objective: This study investigates the effects of brief mindfulness breathing exercises delivered through VR and MR on attentional and emotional restoration and self-control capacity. Methods: Using a within-subjects experimental design, 102 undergraduate participants (n=83, 81.4% female; mean age 20.87, SD 1.89) completed a …

Digital Grief Technology To Support Bereavement: A Systematic Review Of Potential Benefits And Risks, Xun Ci Soh, Adalia Yin Hui Goh, Paye Shin Koh, Andree Hartanto

Research Collection School of Social Sciences

Grief is a universal and inevitable experience. However, the way we support the bereaved is changing, especially in the digital era. This systematic review examines the potential benefits and risks associated with various digital grief technologies, including online grief support groups, generative AI chatbots, online memorials, online therapy interventions, virtual reality, and digitally reproduced visuals or audio of the deceased. A systematic search was conducted in seven databases, and 30 articles were included in the final review. Findings indicate that digital grief technologies offer several benefits, such as reductions in grief and depressive symptoms, enhanced social support, greater accessibility, and …

Understanding Critical Thinking In Generative Artificial Intelligence Use: Development, Validation, And Correlates Of The Critical Thinking In Ai Use Scale, Gabriel R. Lau, Wei Yan Low, Louis Tay, Ysabel Thereze Ang Guevarra, Dragon Gašević, Andree Hartanto

Research Collection School of Social Sciences

Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N = 1341), we developed and validated the 13-item critical thinking in AI use scale and mapped its nomological network. …

Political Costs And Strategic Corporate Communication, Christine Cuny, Jungbae Kim, Mihir N. Mehta

Research Collection School Of Accountancy

When subject to public scrutiny, do firms strategically use advertising to reduce expected political costs? Advertising can ease public concerns, thereby reducing the pressure on politicians to act harshly against scrutinized firms and their industries. We use repeated congressional testimony by industry members as a novel way to identify political scrutiny. Our central finding is that scrutinized industries increase their advertising spending 132 percent more in the electorates of politicians overseeing the hearings than in the electorates of other politicians. Further, strategic advertising is complementary to income-decreasing accounting choices and a substitute for lobbying. Overall, our study sheds light on …

Spiritual Gentrification Amid The Rise Of Platform Urbanism: "Wanghong Temples" And Emerging Buddhist Cultural Economies In Tianzhu Road, Hangzhou, China, Han Zhang, Junxi Qian, Lily Kong

Research Collection School of Social Sciences

This study scrutinizes how the Tianzhu Road in the Lingyin Community - a peri-urban area in Hangzhou ringed by a cluster of temples that constitutes a distinct spiritual enclave - has been reworked through a two-phase gentrification process driven by the spiritual aesthetics and platform logics. Drawing on a two-month ethnography and media content analysis, this study conceptualizes spiritual gentrification as a spiritual aesthetics and culture-oriented recalibration of urban space in which spiritual elements operate as symbolic capital, attracting culturally motivated entrepreneurs and aligning the spiritual atmosphere with slow-life values as an alternative to urban modernity. In particular, platform urbanism …

The Restorative Effects Of Nature Exposure Via Virtual Reality On Well-Being, Self-Control, And Working Memory, Zoey K. Y. Eun, Hwajin Yang, Nicole R. Y. Chen, Andree Hartanto

Research Collection School of Social Sciences

The psychological benefits of nature exposure are vital for well-being in an increasingly urbanised world. While previous research has consistently demonstrated the restorative effects of natural environments on both physical and psychological health, findings on virtual nature simulations remain mixed, possibly due to the limited immersive quality of conventional displays. Virtual reality (VR), however, provides immersive visual and auditory engagement, making it a promising alternative for delivering nature-based experiences when direct exposure to real nature environments is unavailable. The present study examined the effects of VR-simulated nature on attentional and emotional restoration and self-control capacity, using a preregistered, within-subjects experimental …

A Stress-Induced Digital Escapism Framework For Understanding The Link Between Stress And Problematic Social Media Use, Hwajin Yang, Frosch Yi Xuan Quek, Xiu Hui Salin Yap, Yue Qi Germaine Tng, Gilaine Rui Ng

Research Collection School of Social Sciences

Given that stress is a significant risk factor for problematic social media use, understanding the underlying psychological mechanisms is essential. We introduce the Stress-Induced Digital Escapism (SIDE) framework, which posits that negative internal emotional responses to external stressors may increase reliance on maladaptive emotion regulation strategies that fail to alleviate distress. These processes may, in turn, strengthen escapism motives that lead to seeking emotional relief through compulsive social media use. Using structural equation modeling (N = 238), we examined three integrated psychological pathways—negative stress reactions, maladaptive emotion regulation strategies, and escapism motives—as sequential mediators linking external demands to problematic social …

Research "Junkification" Is Caused By Researchers, Not Journals, Simon Sebastian Groome, Jose C. Yong, Norman P. Li

Research Collection School of Social Sciences

Concerns about declining research quality have increasingly been framed as “junkification,” whereby academic output expands in volume while declining in epistemic value. A recent paper by Rhodes and Linnenluecke (2025) attributes this trend to changes in publishing, arguing that research quality erodes as journals and publishers become increasingly oriented toward output quantity and metrics, driven by monetization. In 2009, Nobel Laureate James Watson remarked that scientific publishing in the mid-twentieth century was both easier and of a higher standard than today (Web of Stories, 2017). If publishing is much easier of late, as Rhodes and Linnenelucke (R&L) argued, then how …

Not Just Anyone: Living Situation Is Indirectly Associated With Cognitive Impairment Via Depressive Symptoms, Chin Hong Tan, Jacinth Jia Xin Tan

Research Collection School of Social Sciences

Objectives: Socially isolated individuals are at a greater risk of cognitive decline. We examined whether this relationship is dependent on the type of household living situation, living alone or living with others (spouse/ partner or relative/friend), and the indirect effects of depression. Methods: We evaluated 10,545 cognitively normal (CN, mean age = 71.6) and 9334 individuals with mild cognitive impairment (MCI, mean age = 72.9) cross-sectional data from the National Alzheimer's Coordinating Center. Participants' living situation was classified as living alone, living with spouse/partner, or living with a relative/friend. Cognitive function and depression were assessed by a neuropsychological battery and …

Expanding Links Between Work Values And Occupations: Development Of The Occupational Values Inventory (Ovi), Nicholas F. Heimpel, Kevin Hoff, Zihan Liu, Federick L. Oswald, James Rounds

Research Collection Lee Kong Chian School Of Business

This research developed the Occupational Values Inventory (OVI), a 30-item measure that expands the content coverage of work values by linking into a broad range of O*NET occupational descriptors, including Work Activities and Work Contexts, along with salary data from the Bureau of Labor Statistics. The OVI assesses 11 work values—Interpersonal, Outdoor, Physical, Leadership, Salary, Prestige, Variety, Interest, Work Hours, Knowledge Utilization, and Autonomy—providing an updated and refined coverage of work values relevant to people and occupations in the modern labor market. Study 1 (N = 768) developed and refined the OVI’s scales using conceptual and psychometric criteria, also reporting …