Digital Commons Network^™

Seven Hci Grand Challenges Revisited: Five-Year Progress, Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Vincent G Duffy, Qin Gao, Waldemar Karwowski, Fiona Nah, Stavroula Ntoa, Pei-Luen Patrick Rau, Keng Siau, Jia Zhou

Research Collection School Of Computing and Information Systems

Motivated by the rapid technological advancements achieved in the last five years, and the pervasiveness of Artificial Intelligence, the paper investigates the evolving role of Human-Computer Interaction and revisits the seven grand challenges outlined in 2019: human-technology symbiosis, human-environment interactions, ethics, privacy and security, well-being, health and eudaimonia, accessibility and universal access, learning and creativity, and social organization and democracy. Through literature analysis, the paper reevaluates the status of each challenge and highlights emerging requirements. Key findings reveal the widespread impact of Artificial Intelligence across all domains and emphasize the need for improved AI transparency, alignment with human values, and …

Producer-Oriented And Consumer-Oriented Alternative Food Networks And Rural Revitalization In China: Distinct Trajectories And Variegated Impacts, Meiling Wu, Qian Forrest Zhang

Research Collection School of Social Sciences

Alternative food networks (AFNs) have been increasingly perceived as an engine for rural revitalization, yet AFNs can differ in their founding motivations, operational methods, and organizational forms, which thus produce varying economic, social, and environmental outcomes. Despite this, the complexity of AFNs in the role of rural revitalization remains surprisingly under-researched. This study, drawing a distinction between producer-oriented and consumer-oriented AFNs in China, explores the dynamics of how producer-oriented and consumer-oriented AFNs are formed and give rise to distinct trajectories of rural revitalization. When AFNs prioritize producers' pursuit of alternatives to conventional agrifood systems over merely catering to urban consumers’ …

Impact Tracing: Identifying The Culprit Of Misinformation In Encrypted Messaging Systems, Zhongming Wang, Tao Xiang, Xiaoguo Li, Biwen Chen, Guomin Yang, Chuan Ma, Robert H. Deng

Research Collection School Of Computing and Information Systems

Encrypted messaging systems obstruct content moderation, although they provide end-to-end security. As a result, misinformation proliferates in these systems, thereby exacerbating online hate and harassment. The paradigm of “Reporting-then-Tracing” shows great potential in mitigating the spread of misinformation. For instance, message traceback (CCS’19) traces all the dissemination paths of a message, while source tracing (CCS’21) traces its originator. However, message traceback lacks privacy preservation for non-influential users (e.g., users who only receive the message once), while source tracing maintains privacy but only provides limited traceability. In this paper, we initiate the study of impact tracing. Intuitively, impact tracing traces influential …

The Agility Paradigm: Rethinking Regulatory Policy Commitments In Free Trade Agreements, Stefanie Schacherer

Research Collection Yong Pung How School Of Law

In an era marked by rapid technological advancement and an intensifying imperative for sustainability, the concept of agile regulation has emerged as a new paradigm in regulatory governance. Agile regulation champions a flexible approach essential for regulatory frameworks to evolve alongside changing circumstances. International regulatory cooperation is of importance in fostering knowledge sharing and evidence dissemination between states while mitigating regulatory disparities that stifle crossborder innovation, impede collective action against shared risks, and increase trade costs. Against this backdrop, the article delves into the role of free trade agreements (FTAs) in advancing the agile regulation agenda. It discusses how FTAs …

From Cptpp To Us–Taiwan Initiative On 21st-Century Trade: The Evolution Of Good Regulatory Practices And Its Implications For Taiwan, Han-Wei Liu

Research Collection Yong Pung How School Of Law

This paper examines the evolution and implications of Good Regulatory Practices (GRP) – otherwise known as ‘regulatory coherence’ in international trade agreements, focusing on the US-Taiwan Initiative on twenty-first-Century Trade. By comparing GRP frameworks in the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), the United States–Mexico–Canada Agreement (USMCA), and the US–Taiwan Initiative, the paper highlights the challenges of integrating GRP into Taiwan’s legal system. The analysis reveals significant disparities between GRP requirements and Taiwan’s existing Administrative Procedure Act (APA) in key areas such as public consultation, regulatory impact assessments (RIAs), and sunset review mechanisms. The paper also explores potential …

Comparing Smart City Data Protection Approaches: Digital Consent And The Accountability Framework In Singapore, Wenxi Zhang, Sharanya M Shanmugam, J.G. Allen

Research Collection Yong Pung How School Of Law

Traditionally, there has been heavy reliance on formal notice and consent models for data protection regimes. However, consent (in particular digital consent) is rarely extended meaningfully in practice, due to behavioural factors including data subjects’ limited cognitive capacity, rational apathy, and dependency on the digital infrastructure around them. Synthesizing legal perspectives with insights drawn from the behavioural and social sciences, this article analyzes the consent problem in the smart city context, where it is exacerbated due to prevailing issues such as economic disincentives for ensuring meaningful consent, since essential urban infrastructure is often provided by private companies. Recognizing the shortcomings …

How Strategic Investors Drive The Transformation And Upgrading Of China's Automotive Industry, Gongwei Wang

Dissertations and Theses Collection (Open Access)

This dissertation conducts a systematic study on the successful transformation and upgrading of China's automotive industry over the past decade, especially the remarkable progress made in the field of Electric and Intelligent Vehicles, and examines how China's automotive industry chain has seized the historical opportunity of the great transformation of the global automotive industry by “Four Modernizations”—electrification, intelligentization, lightweighting and modularization along the path of "Independent Innovation", and realized the overall improvement of both corporate performance and industrial strength under the synergy of strategic investors.

China has newly become the world's largest automotive exporter and successfully built up an advantageous …

Venture Capital, Marketization, And Corporate Innovation Performance, Jia Dong

Dissertations and Theses Collection (Open Access)

The paper explores the impact of venture capital (VC) on the innovation performance of companies listed on the ChiNext and STAR markets of China’s A-share market. By examining the effect of VC involvement on the number of patent applications and patents granted to listed companies, the study reveals the role of VC in promoting corporate innovation and its potential mechanisms. The research finds that venture capital significantly enhances firms’ innovation performance through increased R&D investment and management incentives. Additionally, the degree of marketisation, as an important external factor, significantly amplifies the positive impact of VC on corporate innovation.

The paper …

Research On The Implementation Path Of Digital Transformation In Manufacturing Enterprises: A Case Study Of An Aluminum Deep Processing Company, Yanhong Zhang

Dissertations and Theses Collection (Open Access)

Currently, the internal conditions and external environment for the development of China’s manufacturing industry are undergoing profound and complex changes, and face new opportunities and challenges. In this context, why do manufacturing enterprises need to urgently carry out digital transformation, and the motivations, paths, values and criteria for the success for digital transformation all need to be systematically analyzed and studied?

This paper takes a certain aluminum deep-processing company as an example, focusing on the development strategies of digital transformation in the manufacturing industry. A maturity model of digital transformation for aluminum deep-processing company is constructed through literature research, qualitative …

Religion: Evolutionary Foundation For, Nicole Fellice Ko, Norman P. Li

Research Collection School of Social Sciences

Religion refers to a structured set of spiritual beliefs and rituals. Evolution refers to the process by which living organisms transform and develop over time. Religion—the belief in spiritual beings—influences nearly every aspect of life, making it challenging to understand many phenomena without considering its influence (Bloom, 2012). About two-thirds of the world’s population is religious (Kramer & Tong, 2024); 70% of Americans consider themselves spiritual, and 83% believe they have a spirit separate from their bodies (PEW Research Center, 2023). Throughout history, religion has played a significant role in conflicts like war and continues to influence contemporary issues such …

Exploring The Trust Paradox: Adoption Dynamics Of Family Trusts Among Chinese High-Net-Worth Individuals, Janet Jing Di Zhang

Dissertations and Theses Collection (Open Access)

This research explores the adoption dynamics of family trusts among Chinese High-Net-Worth Individuals (HNWIs), focusing on the key barriers and facilitating factors. Despite the formal recognition of family trusts in China under its Trust Law (2001), the adoption rate remains low. This paradox is addressed through a comparative study between Chinese HNWIs in China and those in Canada, examining the impact of legal, regulatory, and cultural factors on adoption rates. By employing a two-stage quantitative approach, the research develops a Trust Adoption Model that incorporates factors like perceived benefits, professional trust, complexity, and regulatory transparency. The study identifies significant barriers …

Is Carbon Risk Priced In The Cross Section Of Corporate Bond Returns?, Tinghua Duan, Frank Weikai Li, Quan Wen

Research Collection Lee Kong Chian School Of Business

This article examines the pricing of a firm’s carbon risk in the corporate bond market. Contrary to the “carbon risk premium” hypothesis, bonds of more carbon-intensive firms earn significantly lower returns. This effect cannot be explained by a comprehensive list of bond characteristics and exposure to known risk factors. Investigating sources of the low carbon alpha, we find the underperformance of bonds issued by carbon-intensive firms cannot be fully explained by divestment from institutional investors. Instead, our evidence is most consistent with investor underreaction to the predictability of carbon intensity for firm cash-flow news, creditworthiness, and environmental incidents.

Industry Peer Information And The Equity Valuation Accuracy Of Firms Emerging From Chapter 11, Bingxu Fang, Sasan Saiy, Dushyantkumar Vyas

Research Collection School Of Accountancy

Valuation plays a central role in determining Chapter 11 reorganization outcomes. However, obtaining accurate valuation estimates of reorganized firms is challenging because of limited firm-specific market-based information and the oft-conflicting incentives of claimholders. We examine the role of industry peer information in reducing misvaluations and its implications for unintended interclaimant wealth transfers and postreorganization performance. First, we find that the availability of relevant industry peer information is negatively associated with equity valuation errors for firms emerging from Chapter 11. Cross-sectional results suggest that the relation between industry peer information and valuation errors varies substantially with debtors’ information environment and case …

Green Innovation And Firms’ Financial And Environmental Performance: The Roles Of Pollution Prevention Versus Control, Qiang Cheng, An-Ping Lin, Mengjie Yang

Research Collection School Of Accountancy

This study examines the effects of firms' green innovation on their future financial and environmental performance. If pollution is primarily a manifestation of wasted resources, then investments in pollution prevention technologies can both reduce the environmental impact of production and improve financial performance. In contrast, investments in pollution control technologies likely reduce the environmental impact of production without improving financial performance. Using green patents to capture firms' investments in these two types of technologies, we find that the value of a firm's pollution prevention patents is positively associated with its future financial and environmental performance, and that the positive impact …

Does Felt Obligation Or Gratitude Better Explain The Relationship Between Perceived Organizational Support And Outcomes?, Robert Eisenberger, Xueqi Wen, Dianhan Zheng, Jia Yu, Zihan Liu, Jing Zhang, Lei Wang, Tae-Yeol Kim, Sara Krivacek, Thomas J. Zagenczyk, Min-Kyu Joo, Salar Mesdaghinia, Deog-Ro Lee, Tae-Hyun Kim

Research Collection Lee Kong Chian School Of Business

The employee-organization relationship (EOR) is a key component of organizational behavior. Researchers have consistently shown that employees who perceive that they are supported by their organizations (favorable EORs) tend to have positive attitudes and behave in a manner that helps the organization to reach its goals. For many years, the reciprocity norm (e.g. felt obligation) has been a widely accepted explanation for the EOR. Yet, despite calls to explore additional pathways, little work has examined other mediating mechanisms between favorable EORs and outcomes. We draw on the affect theory of social exchange to argue for the mediating effects of gratitude, …

Exploring The Dynamics Of Volitional Personality Change: A Psychoeducational Intervention Study With Young Adults Transitioning To The Workforce, Erica Baranski, Ramona L. Martinez, Zihan Liu, Kevin Hoff

Research Collection Lee Kong Chian School Of Business

College graduates transitioning to the workforce completed a 13-week, light, psychoeducation intervention designed to increase volitional personality change motivation via weekly email newsletters. Contrary to expectations, the intervention did not significantly enhance overall change motivation or consistently inspire desired trait change goals following the study period or after 6 or 10 months. However, participants in the intervention group did report increased desire to change emotional stability at specific points during the study. These findings underscore the limitations of this particular psychoeducational intervention approach and help to fill in the boundary conditions of when and how personality change is possible. Additionally, …

Ptm4tag+: Tag Recommendation Of Stack Overflow Posts With Pre-Trained Models, Junda He, Bowen Xu, Zhou Yang, Donggyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo

Research Collection School Of Computing and Information Systems

Stack Overflow is one of the most influential Software Question & Answer (SQA) websites, hosting millions of programming-related questions and answers. Tags play a critical role in efficiently organizing the contents on Stack Overflow and are vital to support various site operations, such as querying relevant content. Poorly chosen tags often lead to issues such as tag ambiguity and tag explosion. Therefore, a precise and accurate automated tag recommendation technique is needed. Inspired by the recent success of pre-trained models (PTMs) in natural language processing (NLP), we present PTM4Tag+, a tag recommendation framework for Stack Overflow posts that utilize PTMs …

Exploring & Exploiting High-Order Graph Structure For Sparse Knowledge Graph Completion, Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin

Research Collection School Of Computing and Information Systems

Sparse Knowledge Graph (KG) scenarios pose a challenge for previous Knowledge Graph Completion (KGC) methods, that is, the completion performance decreases rapidly with the increase of graph sparsity. This problem is also exacerbated because of the widespread existence of sparse KGs in practical applications. To alleviate this challenge, we present a novel framework, LR-GCN, that is able to automatically capture valuable long-range dependency among entities to supplement insufficient structure features and distill logical reasoning knowledge for sparse KGC. The proposed approach comprises two main components: a GNN-based predictor and a reasoning path distiller. The reasoning path distiller explores high-order graph …

Ai As Your Ally: The Effects Of Ai-Assisted Venting On Negative Affect And Perceived Social Support, Meilan Hu, Xavier Cheng Wee Chua, Shu Fen Diong, K. T. A. Sandeeshwara Kasturiratna, Nadyanna M. Majeed, Andree Hartanto

Research Collection School of Social Sciences

In recent years, artificial intelligence (AI) chatbots have made significant strides in generating human-like conversations. With AI's expanding capabilities in mimicking human interactions, its affordability and accessibility underscore the potential of AI chatbots to facilitate negative emotional disclosure or venting. The study's primary objective is to highlight the potential benefits of AI-assisted venting by comparing its effectiveness to venting through a traditional journaling platform in reducing negative affect and increasing perceived social support. We conducted a pre-registered within-subject experiment involving 150 participants who completed both traditional venting and AI-assisted venting conditions with counterbalancing and a wash-out period of 1-week between …

Social Influence In Close Relationships, Kenneth Tan, Ya Hui Michelle See

Research Collection School of Social Sciences

Romantic partners frequently spend substantial amounts of time with each other (Gerstel & Sarkisian, 2006), forming profound connections, creating meaningful memories (Philippe et al., 2013), and having an indelible impact on one's self-views and identity (e.g., Aron & Aron, 1997). Indeed, extant research showcases that the relationship between romantic partners plays a pivotal role in addressing a multitude of life's challenges together. Besides addressing goals that are specifically related to surviving and reproducing, romantic partners also serve as vital sources for assistance, advice, companionship, and emotional support (see Feeney & Collins, 2014; Finkel et al., 2014; Fitzsimons et al., 2015). …

Data And Digitalization In Energy Efficiency Policy Design: The Case Of Singapore, Ishani Mukherjee, Diandrea Ho

Research Collection School of Social Sciences

Overarching and broad policy goals for enhancing energy efficiency have existed globally over the last 50 years as a response to rising energy demands, heightening costs, and construction levels of residential and commercial buildings, and the associated rises in greenhouse gas emissions from energy use (Levine et al., 2007; World Bank, 2010). Buildings, in particular, have been widely recognized as offering the greatest potential for reducing energy use and related greenhouse gas emissions, followed by reduced energy consumption in manufacturing, appliances, electronic goods, and end-users of electricity (Levine, 2007; IEA, 2010). And while significant technological strides have been made globally …

Catchwater Colonialism: Reshaping Hong Kong’S Hydrology, Infrastructure, Metabolism And Landscape, 1937–1968, Jack Greatrex, Florence Mok

Research Collection College of Integrative Studies

This article explores the development of hydrological infrastructure in colonial Hong Kong between the late 1930s and the late 1960s. Utilizing archival sources in Hong Kong and London, it shows how this infrastructure fundamentally reshaped Hong Kong’s geography. By way of concrete catchwaters and metal pipes, both ‘green’ and ‘urban’ Hong Kong became counter-intuitively interconnected. This interconnection created both unintended consequences and novel opportunities for colonial governance, driving forward natural conservation, state intervention into rural society and the development of new carceral institutions. Exploring these developments provides pivotal insight into the urban history of Hong Kong, with implications for global …

Towards The Next Generation Of Geospatial Artificial Intelligence, Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Jiao, Junfeng

Research Collection College of Integrative Studies

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote …

Analysis Of Access And Egress Mode Choice To High-Speed Railway Stations, Jiaoe Wang, Yongling Li, Junfeng Jiao

Research Collection College of Integrative Studies

High-speed railway (HSR) has become a key mode for short- to medium-haul transportation intercity trips in China and has been regarded as a competitor to air transportation. While significant research has explored daily travel mode choices and access/egress modes for other intercity transport hubs, the factors influencing access and egress to HSR stations – particularly those related to the built environment – remain underexamined. This paper analyses access/egress mode choices for intercity travel along the Beijing-Shanghai HSR corridor using 2015 survey data. The findings show that, during the access stage, the number of bus stations at HSR stations reduces car …

Extended State Infrastructure Power In An Age Of Networked Competition: The Cases Of Thailand And Taiwan, Sol Andrew Stokols, Justin Kollar

Research Collection College of Integrative Studies

Scholars have highlighted the emergence of infrastructure as a key domain in the struggle over network centrality in what some call the ‘Second Cold War’ between the U.S. and China. We qualify this ‘infrastructural turn’ by drawing attention to the contingent nature of state infrastructural power as depending on key domestic firms that often serve as intermediaries between domestic infrastructure and global supply chains or international partners. Utilising empirical case studies based on field research conducted between 2021 and 2023 in Thailand and Taiwan, we analyse the ways in which state infrastructure power is exercised through strategic negotiation between national …

Recommender Systems And Reinforcement Learning For Human-Building Interaction And Context Aware Support: A Text Mining-Driven Review Of Scientific Literature, Wenhao Zhang, Matias Quintana, Clayton Miller

Research Collection College of Integrative Studies

The indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus. With the advancement of Information and Communication Technology (ICT), recommendation systems and reinforcement learning (RL) have emerged as promising approaches to induce behavioral changes to improve the indoor environment and energy efficiency of buildings. This study aims to employ text mining and Natural Language Processing (NLP) techniques to thoroughly examine the connections among these approaches in the context of human-building interaction and occupant context-aware support. The study analyzed 27,595 articles from the ScienceDirect database, revealing extensive use …

Gamification For Air Quality Education: A Systematic Literature Review, Abdollah Baghaei Daemei, Ruggiero Lovreglio, Zhenan Feng, Daniel Paes, Clayton Miller

Research Collection College of Integrative Studies

Air quality is crucial to our health and well-being, as poor air quality can lead to serious health problems such as asthma, allergies, and other respiratory conditions. Educating people about air quality is key to improving awareness and taking action to reduce its negative effects. Gamification offers a creative and engaging way to deliver educational content by incorporating game elements into the learning experience. However, despite its potential, there has been no review of how gamification has been used for air quality education. Thus, this review aims to fill that gap by systematically examining how gamification is applied to air …

Towards Resource-Efficient Reactive And Proactive Auto-Scaling For Microservice Architectures, Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo

Research Collection School Of Computing and Information Systems

Microservice architectures have become increasingly popular in both academia and industry, providing enhanced agility, elasticity, and maintainability in software development and deployment. To simplify scaling operations in microservice architectures, container orchestration platforms such as Kubernetes feature Horizontal Pod Auto-scalers (HPAs) designed to adjust the resources of microservices to accommodate fluctuating workloads. However, existing HPAs are not suitable for resource-constrained environments, as they make scaling decisions based on the individual resource capacities of microservices, leading to service unavailability, resource mismanagement, and financial losses. Furthermore, the inherent delay in initializing and terminating microservice pods hinders HPAs from timely responding to workload fluctuations, …

How Do Insurance Companies Manage Reserves? Evidence From Reserve Errors Across Lines Of Business And Accident Years, Jing Rong Goh, Shinichi Kamiya, Pingyi Lou

Research Collection School Of Economics

We study the question of how insurance companies manage reserves. Specifically, we investigate how managerial incentives affect insurers’ reserving practice across lines of business (LOBs) and accident years (AYs). Because the tax discount factor the tax authority assigns varies across LOBs and AYs, insurers with stronger tax-saving incentives will be inclined to manage reserves across both LOBs and AYs. In contrast, since the Risk Based Capital (RBC) regime specifies different industry worst-case factors across LOBs, insurers with stronger incentives to increase their RBC ratio will be inclined to manage reserves across LOBs. Regarding income-smoothing incentives, only the overall level (and …

Scrutinizer: Towards Secure Forensics On Compromised Trustzone, Yiming Zhang, Fengwei Zhang, Xiapu Luo, Rui Hou, Xuhua Ding, Zhenkai Liang, Shoumeng Yan, Tao We, Zhengyu He

Research Collection School Of Computing and Information Systems

The number of vulnerabilities exploited in Arm TrustZone systems has been increasing recently. The absence of digital forensics tools prevents platform owners from incident response or periodic security scans. However, the area of secure forensics for compromised TrustZone remains unexplored and presents unresolved challenges. Traditional out-of-TrustZone forensics are inherently hindered by TrustZone protection, rendering them infeasible. In-TrustZone approaches are susceptible to attacks from privileged adversaries, undermining their security. To fill these gaps, we introduce SCRUTINIZER, the first secure forensics solution for compromised TrustZone systems. SCRUTINIZER utilizes the highest privilege domain of the recent Arm Confidential Computing Architecture (CCA), called the …