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Articles 2551 - 2580 of 23256
Full-Text Articles in Entire DC Network
Avoiding Pragmatic Oddity: A Bottom-Up Defeasible Deontic Logic, Guido Governatori, Silvano Colombo Tosatto, Antonio Rotolo
Avoiding Pragmatic Oddity: A Bottom-Up Defeasible Deontic Logic, Guido Governatori, Silvano Colombo Tosatto, Antonio Rotolo
Centre for Computational Law (2022-2025)
This paper presents an extension of Defeasible Deontic Logic to deal with the Pragmatic Oddity problem. The logic applies three general principles: (i) the Pragmatic Oddity problem must be solved within a general logical treatment of contrary-to-duty (CTD) reasoning; (ii) non-monotonic methods must be adopted to handle CTD reasoning; (iii) logical models of CTD reasoning must be computationally feasible and, if possible, efficient. The proposed extension of Defeasible Deontic Logic elaborates a preliminary version of the model proposed by Governatori and Rotolo [15]. The previous solution was based on particular characteristics of the (constructive, top-down) proof theory of the logic. …
Challenges Of Mediating Investor-State Disputes, Mariam Gotsiridze
Challenges Of Mediating Investor-State Disputes, Mariam Gotsiridze
Singapore International Dispute Resolution Academy
Mediation has gained a lot of traction in the context of ISDS in the past few years. There are many who truly believe that this could be an alternative to highly costly and lengthy investor-State arbitrations and litigations. States have started to include mediation in their investment treaties; institutions have designed separate mediation rules and procedures specifically for investor-State disputes. The 2022 International Dispute Resolution Survey from the Singapore International Dispute Resolution Academy (SIDRA) is a testament to this positive trend towards investor-State mediation. In the 2022 SIDRA Survey, the respondents signal increased acceptance of mediation in ISDS. Despite these …
On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez
On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez
Research Collection Lee Kong Chian School Of Business
This study set out to assess if presenting cultivated chicken in the context of a familiar meal, in a familiar dining setting, would motivate repeat consumption and recommendation. A survey of 107 diners was conducted at Huber's Butchery and Bistro in Singapore – the world's first butchery to serve cultivated meat – from April to June 2023. The findings showed that eating cultivated chicken significantly boosted post-consumption acceptance levels. In addition, cultivated chicken's tastiness may be a more important factor than its integration into a familiar meal or dish in fostering repeat consumption. Implications for the cultivated meat industry, limitations, …
Enhancing Government Service Delivery: A Case Study Of Acqar Implementation And Lessons Learned From Chatgpt Integration In A Singapore Government Agency, Hui Shan Lee, Shankararaman, Venky, Eng Lieh Ouh
Enhancing Government Service Delivery: A Case Study Of Acqar Implementation And Lessons Learned From Chatgpt Integration In A Singapore Government Agency, Hui Shan Lee, Shankararaman, Venky, Eng Lieh Ouh
Research Collection Lee Kong Chian School Of Business
This paper presents the pilot implementation of AI Based Citizen Question-Answer Recommender (ACQAR) as an attempt to enhance citizen service delivery within a Singaporean government agency. Drawing insights from previous studies on the Empath library's use in Service Level Agreement (SLA) prediction and the implementation of the Citizen Question-Answer system (CQAS), we redesigned the pilot system, ACQAR. ACQAR integrates the outputs from Empath X SLA predictor and CQAS as essential inputs to the ChatGPT engine, creating contextually aware responses for customer service officers to use as responses to the citizens.Empath X SLA predictor anticipates the expected service response time based …
Ai Competency Acquisition Online? Engaging Undergraduate Students In An Ai 101 Course Through A Chatbot Workshop, Thomas Menkhoff, Lydia Teo
Ai Competency Acquisition Online? Engaging Undergraduate Students In An Ai 101 Course Through A Chatbot Workshop, Thomas Menkhoff, Lydia Teo
Research Collection Lee Kong Chian School Of Business
In recent years, digital transformation has dominated industries at an unprecedented rate. Alongside the proliferation of Artificial ntelligence (AI) technologies in the workplace, institutions of higher learning are experiencing an unprecedented push to integrate AI into the education ecosystem (Popenici & Kerr, 2017; Renz & Hilbig, 2020). AI in education (AIED) has the propensity to enrich teaching and learning in higher education by personalising students’ learning courses, automating assessment tasks, or providing24/7 access to learning resources (Karandish, 2021). According to estimates by the AI Market in the US Education Report, the AIEDmarket will grow at a CAGR of 47.77% during …
Nurturing Youth Climate Action: A Blue Carbon Perspective, Thomas Menkhoff, Chuen Kong Kevin Cheong
Nurturing Youth Climate Action: A Blue Carbon Perspective, Thomas Menkhoff, Chuen Kong Kevin Cheong
Research Collection Lee Kong Chian School Of Business
It was announced at the COP27 Climate Conference in Sharm El-Sheikh (Egypt) in November 2022 that Amazon and Conservation International (with support from the Singapore Economic Development Board) will establish an International Blue Carbon Institute in Singapore. As Minister for Sustainability and the Environment, Grace Fu rightly pointed out during the launch in the Singapore Pavilion that “South-east Asia, with its vast stretches of mangroves and coastal ecosystems, has tremendous potential for blue carbon initiatives that will also support environmental protection, biodiversity conservation, and livelihoods and heritage of local communities” (The Straits Times, New blue carbon institute to be launched …
The Importance Of Theory And History In Understanding And Developing The Common Law Of Contract – Some Further Preliminary Reflections, Hon. Andrew Phang
The Importance Of Theory And History In Understanding And Developing The Common Law Of Contract – Some Further Preliminary Reflections, Hon. Andrew Phang
Singapore Law Journal (Lexicon)
In a previous essay, an attempt was made to demonstrate the important role that both theory and history play in helping us to understand and develop the common law of contract. As pointed out in that essay, a comprehensive treatment of the subject would require lengthy discourse in a book or even several books. This essay follows-up on that previous essay, again by way of preliminary reflections only, to correct the dominant perception that the development of the common law in general and contract law in particular is premised mainly on doctrinal development based on logic and analogy with the …
Veil Piercing In Singapore: A Proposed Approach, Ivan Wu Hwan Tang
Veil Piercing In Singapore: A Proposed Approach, Ivan Wu Hwan Tang
Singapore Law Journal (Lexicon)
Since 2013, the English courts have departed from the Singapore courts in their approach towards the doctrine of veil piercing. Notwithstanding this departure, as well as the general increase, over the years, in the number of cases in Singapore where veil piercing has been argued, the English approach has yet to be considered definitively by Singapore’s Court of Appeal. The other Singapore courts have thus generally also been unwilling and unable to decide on the applicability of the English approach in Singapore. Against this context, this article aims to consolidate and analyse the law on veil piercing in Singapore and …
The Effect Of Choice Of Court Agreements On Third Parties, Tiong Min Yeo
The Effect Of Choice Of Court Agreements On Third Parties, Tiong Min Yeo
Singapore Law Journal (Lexicon)
The effect of choice of court agreements on the exercise of jurisdiction of the Singapore court between contracting parties at common law has received clarification in Singapore law in recent years. The position is also clear under SICC Rules and the Choice of Court Agreements Act. The effect on third parties is less clear. In this article, the effect of choice of court agreements on the position of third parties under the legal regimes above will be considered, from the perspective of both conflict of laws and the Contracts (Rights of Third Parties) Act in domestic Singapore law. This article …
Doctrinal Basis Of Delay As A Bar To Equitable Rescission Of Contracts, Tse Loong Ryan Low
Doctrinal Basis Of Delay As A Bar To Equitable Rescission Of Contracts, Tse Loong Ryan Low
Singapore Law Journal (Lexicon)
The 2015 EWCA decision of Salt v Stratstone Specialist Ltd (t/a Stratstone Cadillac Newcastle) [2015] EWCA Civ 745 casts doubt on the proposition that an inordinate lapse of time alone could operate as a bar to rescission. The court grounded the operation of delay in the doctrine of laches, but as this paper will find, laches is an unsatisfactory explanation for the effect of mere delay on one’s powers of rescission, requiring something more than lapse of time alone. Other competing theories like reference to the Limitation Act 1959 by analogy, and the Sale of Goods Act 1979, have been …
An Updated Account On The Similar Fact Rule, Siyuan Chen
An Updated Account On The Similar Fact Rule, Siyuan Chen
Singapore Law Journal (Lexicon)
The number of local decisions on the similar fact rule has increased quite significantly in the last few years. However, fundamental questions, ranging from the foundational (such as the existence or operation of any residual judicial discretion to exclude relevant evidence) to the discrete (such as whether the rule works differently in civil proceedings as compared to criminal proceedings, and how the rule operates vis-à-vis related rules of evidence), continue to be answered in rather different, arguably irreconcilable ways by the courts. This article analyses some of the recent key decisions in the light of established precedents and proposes that …
The Application Of The Totality Principle In Singapore, Zi Yang Wong
The Application Of The Totality Principle In Singapore, Zi Yang Wong
Singapore Law Journal (Lexicon)
When dealing with an offender who has been convicted of two or more distinct offences, the Court is faced with the issue of determining an appropriate aggregate sentence to be imposed. An aggregate sentence may offend the totality principle if it exceeds the length of the sentence imposed for the most serious offence, or if the sentence is “crushing” and not in keeping with the offender’s past record and future prospects. In deciding whether to vary a sentence on the grounds of the totality principle, the Courts have considered an offender’s overall criminality, advanced age, precedents and the possibility of …
An Abiding Commitment To The Death Penalty? Centrality Of The Rule Of Law In The Administration Of Capital Punishment In Singapore, Eugene K. B. Tan
An Abiding Commitment To The Death Penalty? Centrality Of The Rule Of Law In The Administration Of Capital Punishment In Singapore, Eugene K. B. Tan
Singapore Law Journal (Lexicon)
Capital punishment remains in use in Singapore. The Singapore government’s position is that the death penalty works in deterring the most serious crimes. Public trust and confidence remains healthy that the death penalty regime in Singapore has the requisite deterrent effect on criminals and has sufficient safeguards to prevent any miscarriage of justice. In 2012, the Singapore Parliament made significant amendments to the Penal Code and the Misuse of Drugs Act, marking a shift from the longstanding mandatory to a discretionary death penalty system for some of the most serious crimes. It demonstrates the authorities’ belief that the mandatory death …
The Limits Of Reliance On Reliance Damages? Case Comment: Liu Shu Ming And Another V Koh Chew Chee, Yu Jie Isabelle Lim
The Limits Of Reliance On Reliance Damages? Case Comment: Liu Shu Ming And Another V Koh Chew Chee, Yu Jie Isabelle Lim
Singapore Law Journal (Lexicon)
In Liu Shu Ming v Koh Chew Chee [2023] 1 SLR 1477 (“Liu Shu Ming (AD)”), the Court considered two questions on damages. These were, firstly, when a claimant would be able to claim reliance damages and secondly, whether a claimant would be able to claim reliance damages in the alternative to expectation damages. After considering these two issues, the Court seemingly expressed a preference for limiting claims for reliance damages to where it would be “impossible” or “extremely difficult” to prove expectation damages and not permitting claims for reliance damages in the alternative to expectation damages, or at the …
Acknowledgements, Ee-Ing Ong
Violet: Visual Analytics For Explainable Quantum Neural Networks, Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Robert Griffin, Xiaolin Wen, Yanna Lin, Yong Wang
Violet: Visual Analytics For Explainable Quantum Neural Networks, Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Robert Griffin, Xiaolin Wen, Yanna Lin, Yong Wang
Research Collection School Of Computing and Information Systems
With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum computing to significantly speed up classical machine learning tasks. Despite their increasing popularity, the quantum neural network is quite counter-intuitive and difficult to understand, due to their unique quantum-specific layers (e.g., data encoding and measurement) in their architecture. It prevents QNN users and researchers from effectively understanding its inner workings and exploring the model training status. To fill the research gap, we propose VIOLET , a novel visual analytics approach to improve the explainability …
Learning Dynamic Multimodal Network Slot Concepts From The Web For Forecasting Environmental, Social And Governance Ratings, Gary Ang, Ee-Peng Lim
Learning Dynamic Multimodal Network Slot Concepts From The Web For Forecasting Environmental, Social And Governance Ratings, Gary Ang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Dynamic multimodal networks are networks with node attributes from different modalities where the at- tributes and network relationships evolve across time, i.e., both networks and multimodal attributes are dynamic; for example, dynamic relationship networks between companies that evolve across time due to changes in business strategies and alliances, which are associated with dynamic company attributes from multiple modalities such as textual online news, categorical events, and numerical financial-related data. Such information can be useful in predictive tasks involving companies. Environmental, social, and gov- ernance (ESG) ratings of companies are important for assessing the sustainability risks of companies. The process of …
Locality-Aware Tail Node Embeddings On Homogeneous And Heterogeneous Networks, Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi
Locality-Aware Tail Node Embeddings On Homogeneous And Heterogeneous Networks, Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
While the state-of-the-art network embedding approaches often learn high-quality embeddings for high-degree nodes with abundant structural connectivity, the quality of the embeddings for low-degree or nodes is often suboptimal due to their limited structural connectivity. While many real-world networks are long-tailed, to date little effort has been devoted to tail node embeddings. In this article, we formulate the goal of learning tail node embeddings as a problem, given the few links on each tail node. In particular, since each node resides in its own local context, we personalize the regression model for each tail node. To reduce overfitting in the …
Sgsh : Stimulate Large Language Models With Skeleton Heuristics For Knowledge Base Question Generation, Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen
Sgsh : Stimulate Large Language Models With Skeleton Heuristics For Knowledge Base Question Generation, Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen
Research Collection School Of Computing and Information Systems
Knowledge base question generation (KBQG) aims to generate natural language questions from a set of triplet facts extracted from KB. Existing methods have significantly boosted the performance of KBQG via pre-trained language models (PLMs) thanks to the richly endowed semantic knowledge. With the advance of pre-training techniques, large language models (LLMs) (e.g., GPT-3.5) undoubtedly possess much more semantic knowledge. Therefore, how to effectively organize and exploit the abundant knowledge for KBQG becomes the focus of our study. In this work, we propose SGSH — a simple and effective framework to Stimulate GPT-3.5 with Skeleton Heuristics to enhance KBQG. The framework …
To Protect Or To Hide: An Investigation On Corporate Redacted Disclosure Motives Under New Fast Act Regulation, Yan Ma, Qian Mao, Nan Hu
To Protect Or To Hide: An Investigation On Corporate Redacted Disclosure Motives Under New Fast Act Regulation, Yan Ma, Qian Mao, Nan Hu
Research Collection School Of Computing and Information Systems
China adopted amendments allowing companies to redact filings without prior approval in 2016. Leveraging this change as a quasi-nature experiment, we explore whether managers utilize redacted information to withhold bad information in the more lenient regulatory environment. Our investigation uncovers a significant shift in managerial behavior: Since 2016, managers incline to employ redactions to obscure negative news rather than safeguarding proprietary data. Furthermore, we find that the poorer firm performance and a higher cost of equity are associated with the redacted disclosures after 2016, suggesting that investors perceive an increase in firm-specific risk attributed to withholding bad news through redactions.
Dappscan: Building Large-Scale Datasets For Smart Contract Weaknesses In Dapp Projects, Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye
Dappscan: Building Large-Scale Datasets For Smart Contract Weaknesses In Dapp Projects, Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye
Research Collection School Of Computing and Information Systems
The Smart Contract Weakness Classification Registry (SWC Registry) is a widely recognized list of smart contract weaknesses specific to the Ethereum platform. Despite the SWC Registry not being updated with new entries since 2020, the sustained development of smart contract analysis tools for detecting SWC-listed weaknesses highlights their ongoing significance in the field. However, evaluating these tools has proven challenging due to the absence of a large, unbiased, real-world dataset. To address this problem, we aim to build a large-scale SWC weakness dataset from real-world DApp projects. We recruited 22 participants and spent 44 person-months analyzing 1,199 open-source audit reports …
Unmasking The Lurking: Malicious Behavior Detection For Iot Malware With Multi-Label Classification, Ruitao Feng, Sen Li, Sen Chen, Mengmeng Ge, Xuewei Li, Xiaohong Li
Unmasking The Lurking: Malicious Behavior Detection For Iot Malware With Multi-Label Classification, Ruitao Feng, Sen Li, Sen Chen, Mengmeng Ge, Xuewei Li, Xiaohong Li
Research Collection School Of Computing and Information Systems
Current methods for classifying IoT malware predominantly utilize binary and family classifications. However, these outcomes lack the detailed granularity to describe malicious behavior comprehensively. This limitation poses challenges for security analysts, failing to support further analysis and timely preventive actions. To achieve fine-grained malicious behavior identification in the lurking stage of IoT malware, we propose MaGraMal. This approach, leveraging masked graph representation, supplements traditional classification methodology, empowering analysts with critical insights for rapid responses. Through the empirical study, which took three person-months, we identify and summarize four fine-grained malicious behaviors during the lurking stage, constructing an annotated dataset. Our evaluation …
Fully Automated Selfish Mining Analysis In Efficient Proof Systems Blockchains, Krishnendu Chatterjee, Amirali Ebrahimzadeh, Mehrdad Karrabi, Krzysztof Pietrzak, Michelle Yeo, Dorde Zikelic
Fully Automated Selfish Mining Analysis In Efficient Proof Systems Blockchains, Krishnendu Chatterjee, Amirali Ebrahimzadeh, Mehrdad Karrabi, Krzysztof Pietrzak, Michelle Yeo, Dorde Zikelic
Research Collection School Of Computing and Information Systems
We study selfish mining attacks in longest-chain blockchains like Bitcoin, but where the proof of work is replaced with efficient proof systems - like proofs of stake or proofs of space - and consider the problem of computing an optimal selfish mining attack which maximizes expected relative revenue of the adversary, thus minimizing the chain quality. To this end, we propose a novel selfish mining attack that aims to maximize this objective and formally model the attack as a Markov decision process (MDP). We then present a formal analysis procedure which computes an ϵ-tight lower bound on the optimal expected …
Closest Pairs Search Over Data Stream, Rui Zhu Zhu, Bin Wang, Xiaochun Yang, Baihua Zheng
Closest Pairs Search Over Data Stream, Rui Zhu Zhu, Bin Wang, Xiaochun Yang, Baihua Zheng
Research Collection School Of Computing and Information Systems
��-closest pair (KCP for short) search is a fundamental problem in database research. Given a set of��-dimensional streaming data S, KCP search aims to retrieve �� pairs with the shortest distances between them. While existing works have studied continuous 1-closest pair query (i.e., �� = 1) over dynamic data environments, which allow for object insertions/deletions, they require high computational costs and cannot easily support KCP search with �� > 1. This paper investigates the problem of KCP search over data stream, aiming to incrementally maintain as few pairs as possible to support KCP search with arbitrarily ��. To achieve this, we …
The Effect Of Pcaob Inspections On Corporate Innovation: Evidence From Deficiencies About The Valuation Of Intangibles, Jungbae Kim
Research Collection School Of Accountancy
I examine the economic consequences on corporate innovation when PCAOB inspections cite auditors for insufficient procedures in auditing the valuation of intangibles. I find that the clients of deficient auditors recognize larger and timelier impairments of intangibles, suggesting that affected auditors increase scrutiny about the valuation of intangibles in subsequent audits. This effect obtains only for valuation-related deficiencies and is salient for the clients of auditors who receive such deficiencies repeatedly. I also document real effects that the clients of deficient auditors exhibit less use of external mergers and acquisitions—which yield recognizable intangibles whose valuation is subject to increased auditor …
Prosocial Ceos, Corporate Policies, And Firm Value, Mei Feng, Weili Ge, Zhejia Ling, Wei Ting Loh
Prosocial Ceos, Corporate Policies, And Firm Value, Mei Feng, Weili Ge, Zhejia Ling, Wei Ting Loh
Research Collection School Of Accountancy
This paper examines how chief executive officers' (CEOs') prosocial tendency influences corporate policies and firm value. We use individuals' involvement with charitable organizations as a proxy for prosocial tendency. We find that, compared to firms with non-prosocial CEOs, firms with prosocial CEOs have lower executive subordinate turnover, implement more employee-friendly policies, experience higher customer satisfaction, and engage in more socially responsible activities. We also find that firms with prosocial CEOs have higher value and lower risk, partly due to the corporate policies adopted by prosocial CEOs. These results are corroborated when we compare changes in corporate policies and firm value …
When Do Corporate Good Deeds Become A Burden? The Role Of Corporate Social Responsibility Following Negative Events, Changhyun Kim, Yoonseok Zang, Heli Wang, Kate Niu
When Do Corporate Good Deeds Become A Burden? The Role Of Corporate Social Responsibility Following Negative Events, Changhyun Kim, Yoonseok Zang, Heli Wang, Kate Niu
Research Collection School Of Accountancy
This study investigates the differential roles of corporate social responsibility (CSR) in the context of negative events. By categorizing CSR and negative events by their respective stakeholder groups, primary and secondary stakeholders, we theorize and test differential impacts of CSR and their interaction effects with different types of negative events. We propose that, while CSR toward secondary stakeholders offers the monotonous risk-tempering effect, CSR toward primary stakeholders has heterogeneous effects when facing negative events. Specifically, the effect of CSR toward primary stakeholders varies with the type of negative events. When negative events are associated with secondary stakeholders in the domain …
Analyzing Swimming Performance Using Drone Captured Aerial Videos, Ngoc Doan Thu Tran, Kenny Tsu Wei Choo, Shaohui Foong, Hitesh Bhardwaj, Shane Kyi Hla Win, Wei Jun Ang, Kenneth T. Goh, Rajesh Krishna Balan
Analyzing Swimming Performance Using Drone Captured Aerial Videos, Ngoc Doan Thu Tran, Kenny Tsu Wei Choo, Shaohui Foong, Hitesh Bhardwaj, Shane Kyi Hla Win, Wei Jun Ang, Kenneth T. Goh, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
Monitoring swimmer performance is crucial for improving training and enhancing athletic techniques. Traditional methods for tracking swimmers, such as above-water and underwater cameras, face limitations due to the need for multiple cameras and obstructions from water splashes. This paper presents a novel approach for tracking swimmers using a moving UAV. The proposed system employs a UAV equipped with a high-resolution camera to capture aerial footage of the swimmers. The footage is then processed using computer vision algorithms to extract the swimmers' positions and movements. This approach offers several advantages, including single camera use and comprehensive coverage. The system's accuracy is …
Subjective Socioeconomic Status Moderates How Resting Heart Rate Variability Predicts Pain Response, Jacinth Jia Xin Tan, Chin Hong Tan, Michael W. Kraus
Subjective Socioeconomic Status Moderates How Resting Heart Rate Variability Predicts Pain Response, Jacinth Jia Xin Tan, Chin Hong Tan, Michael W. Kraus
Research Collection School of Social Sciences
Higher resting heart rate variability (HRV)—an index of more flexible response to environmental stressors, including noxious stimuli—has been linked to reduced perception of experimentally induced pain. However, as stress responses are adapted to one’s chronic environments, we propose that chronic exposure to threats captured by one’s subjective socioeconomic status (SSS) may shape different adaptations that produce distinct pain responses linked to higher resting HRV. Specifically, lower SSS individuals with more threat exposures may prioritize threat detection by upregulating sensitivity to stressors, such as acute pain. Therefore, higher HRV would predict greater perceived acute pain among lower SSS individuals. In contrast, …
Preparing Accountants Of The Future: Examining An Accounting Data And Analytics Undergraduate Program In Singapore, Poh Sun Seow, Gary Pan, Clarence Goh, Duan Ning, Magdeleine Lew
Preparing Accountants Of The Future: Examining An Accounting Data And Analytics Undergraduate Program In Singapore, Poh Sun Seow, Gary Pan, Clarence Goh, Duan Ning, Magdeleine Lew
Research Collection School Of Accountancy
Due to technological innovations, there is a need for universities to produce accounting graduates who are proficient in data and analytics, in addition to core accounting skills. A university in Singapore launched the accounting data and analytics (AD&A) second major program to provide students with skillsets in data and analytics. The aim of this study is to examine the efficacy of the AD&A program. 100 participants were surveyed, involving 70 graduates of the program and 30 employers. The results show that both graduates andemployers were satisfied with the program. The results also show that the program adequately equips graduates with …