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Articles 3421 - 3450 of 9289
Full-Text Articles in Social and Behavioral Sciences
Skbi Big 5 Survey 2019 August, Singapore Management University
Skbi Big 5 Survey 2019 August, Singapore Management University
Sim Kee Boon Institute for Financial Economics
On balance, our overall interpretation of the multiyear Big5 survey results implies the following economy-at-risk scale (least to most): India, China, US, Japan and Euro Area (i.e., India’s economy appears to be the least at-risk, while the Euro Area might be the most at-risk). Broadly, survey participants expect the risks to GDP growth to be tilted to the downside in 2019 and 2020 followed by a more balanced growth environment in 2021. But participants seem to lean toward a more balanced risk assessment on headline inflation from 2019 through 2021, with the exception of the Euro Area, where a modest …
Quantitative Effects Of Two Kinds Of Robots In A Neo-Classical Growth Model, Hoang Phuong Que Vu
Quantitative Effects Of Two Kinds Of Robots In A Neo-Classical Growth Model, Hoang Phuong Que Vu
Dissertations and Theses Collection (Open Access)
Advances in artificial intelligence are leading to many revolutions in robotics. How will the arrival of robots impact the growth of the economy, the workers' wage, consumption, and lifetime welfare? This dissertation attempts to answer this question by presenting a standard neoclassical growth model with two different kinds of robots, reflecting two ways that robots can transform the labor market. The first chapter introduces additive robots- a perfect substitution for human labor, while the second chapter employs multiplicative robots- a type of robots that augments human labor. The prevailing main result is that even in the case with no population …
The Spirulina Strategy, Singapore Management University
The Spirulina Strategy, Singapore Management University
Perspectives@SMU
This is an adapted version of the SMU Case, “Navigating an Eternal Ocean: EnerGaia’s Emergent Strategy in the Market for Spirulina" written by Research Fellow Ryan Merrill and Assistant Professor Simon Schillebeeckx. To see the full case, please click on the following link: https://cmp.smu.edu.sg/case/3986
EnerGaia began life trying to address nutrition issues in the developing world. The prospect of profit is testing its founder to balance both or choose one over the other
Evaluating Vulnerability To Fake News In Social Networks: A Community Health Assessment Model, Bhavtosh Rath, Wei Gao, Jaideep Srivastava
Evaluating Vulnerability To Fake News In Social Networks: A Community Health Assessment Model, Bhavtosh Rath, Wei Gao, Jaideep Srivastava
Research Collection School Of Computing and Information Systems
Understanding the spread of false information in social networks has gained a lot of recent attention. In this paper, we explore the role community structures play in determining how people get exposed to fake news. Inspired by approaches in epidemiology, we propose a novel Community Health Assessment model, whose goal is to understand the vulnerability of communities to fake news spread. We define the concepts of neighbor, boundary and core nodes of a community and propose appropriate metrics to quantify the vulnerability of nodes (individual-level) and communities (group-level) to spreading fake news. We evaluate our model on communities identified using …
What Are The Most Powerful Predictors Of Charitable Giving To Victims Of Typhoon Haiyan: Prosocial Traits, Socio-Demographic Variables, Or Eye Cues?, Zoi Manesi, Paul A. M. Van Lange, Niels J. Van Doesum, Thomas V. Pollet
What Are The Most Powerful Predictors Of Charitable Giving To Victims Of Typhoon Haiyan: Prosocial Traits, Socio-Demographic Variables, Or Eye Cues?, Zoi Manesi, Paul A. M. Van Lange, Niels J. Van Doesum, Thomas V. Pollet
Research Collection School of Social Sciences
Major natural disasters often prompt charities to start rallying for extra donations. However, little is known about which variables predict disaster donations most strongly. Here we focused on donations to victims of typhoon Haiyan in the Philippines (2013). A multifaceted approach combined three potential predictors: (a) prosocial traits (social value orientation and social mindfulness, or SVO and SoMi), (b) socio-demographic variables, and (c) minimal social cues (eye images). Participants (N = 643) completed an online survey in which they decided whether or not to spend time on a fundraising task to support the typhoon victims. Results of this exploratory study …
Time-Varying Contemporaneous Spillovers During The European Debt Crisis, Marinela Adriana Finta, Bart Frijins, Alireza Tourani-Rad
Time-Varying Contemporaneous Spillovers During The European Debt Crisis, Marinela Adriana Finta, Bart Frijins, Alireza Tourani-Rad
Research Collection Lee Kong Chian School Of Business
This paper considers contemporaneous spillover effects between Germany and four peripheral European countries that were most affected by the European Debt Crisis, and provides evidence of bidirectional spillovers among these equity markets. We document that there is asymmetry and time variation in contemporaneous spillovers. Particularly, contemporaneous return spillovers from Germany to the peripheral equity markets is higher than the other way around. We show that European Debt Crisis led to a decrease in the contemporaneous spillover effects.
Informativeness Of The Expanded Audit Report: Evidence From China, Beng Wee Goh, Jimmy Lee, Dan Li, Muzhi Wang
Informativeness Of The Expanded Audit Report: Evidence From China, Beng Wee Goh, Jimmy Lee, Dan Li, Muzhi Wang
Research Collection School Of Accountancy
This study investigates whether the expanded audit report is informative to investors in the setting of an emerging economy. Using the recent staggered adoption of the expanded audit report for A+H and A share firms in China, we find robust evidence that abnormal trading volume and earnings response coefficients are higher, and stock price synchronicity are lower, in the post-adoption periods than in the pre-adoption periods. In additional tests, we find that the expanded audit report is more informative for non-State Owned Enterprises and for firms with higher information asymmetry. Overall, our study documents systematic evidence that the expanded audit …
Envy In Response To Help: A Helping As Status Relations Model, Kenneth Tai, Katrina Lin, Catherine K. Lam
Envy In Response To Help: A Helping As Status Relations Model, Kenneth Tai, Katrina Lin, Catherine K. Lam
Research Collection Lee Kong Chian School Of Business
Social exchange theory suggests that after receiving help, peopleexperience gratitude and they reciprocate by helping the original help giver.However, it remains unclear whether people experience other emotions that drive positive reciprocation after receiving help.Building on helping as status relations framework, we suggest that when higherperformers provide task-related help to lower performers, help recipients perceivethat help givers have higher status, and respond to the help with envy. Torebalance the status relation, help recipients are motivated to reciprocate byhelping the help giver. Results from three studies progressively support our predictionsthat help recipients respond with envy when they receive task-related help, butonly toward …
To Extubate Or Not To Extubate: Risk Factors For Extubation Failure And Deterioration With Further Mechanical Ventilation, Jingui Xie, Guang Cheng, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
To Extubate Or Not To Extubate: Risk Factors For Extubation Failure And Deterioration With Further Mechanical Ventilation, Jingui Xie, Guang Cheng, Zhichao Zheng, Haidong Luo, Oon Cheong Ooi
Research Collection Lee Kong Chian School Of Business
Background: Extubation is a critical step in the intensive care unit (ICU). In this study, we aim to investigate the risk factors for both extubation failure and deterioration with further mechanical ventilation (MV). Methods: Data were collected from a cardiothoracic ICU in a tertiary hospital. The risk factors for extubation failure and deterioration with further MV were investigated by multivariate logistic regression. Results: A total of 676 patients were enrolled in the study. Patients with extubation failure had a longer ICU length of stay and a higher mortality rate than patients without extubation failure. An age greater than 65 years, …
Industry 4.0: Challenges And Opportunities In Different Countries, Keng Siau, Yingrui Xi, Cui Zou
Industry 4.0: Challenges And Opportunities In Different Countries, Keng Siau, Yingrui Xi, Cui Zou
Research Collection School Of Computing and Information Systems
Along with the rapid development of artificial intelligence (AI), cyber-physical systems (CPSs), big data analytics, and cloud computing, Industry 4.0 — a subset of the fourth Industrial Revolution — has started to emerge and take root in many countries. Many expect that Industry 4.0 will be transformative and revolutionary for multiple industries and countries. Its impact will be much more significant than those of Industry 1.0, 2.0, and 3.0. Most studies and papers on Industry 4.0 have examined its impact on various industries, jobs, and organizations. In this article, we investigate the impact of Industry 4.0 on countries and groups …
Amid Uncertainties, An Uplifting Reminder On Importance Of Resilience And Resolve For Singapore, Tan K. B. Eugene
Amid Uncertainties, An Uplifting Reminder On Importance Of Resilience And Resolve For Singapore, Tan K. B. Eugene
Research Collection Yong Pung How School Of Law
In a commentary, SMU Associate Professor of Law Eugene Tan opined that Prime Minister Lee Hsien Loong's National Day Rally (NDR) speech is an uplifting reminder on the importance of having resilience and resolve for Singapore, amid uncertainties such as the slowing economy and Sino-American rivalry. He pointed out that the one common thread across the three speeches is the forging of a unique Singapore identity and ethos and the centrality of staying united even as external forces are buffeting Singapore relentlessly. Assoc Prof Tan believed that the themes from the NDR will continue to resonate from now to next …
Mortgage Dollar Roll, Zhaogang Song, Haoxiang Zhu
Mortgage Dollar Roll, Zhaogang Song, Haoxiang Zhu
Research Collection Lee Kong Chian School Of Business
Mortgage dollar roll, the most common financing strategy for agency MBS, differs from repo in that the returned collateral can differ from those received. Also, MBS ownership changes hands in the funding period. We show that dollar roll “specialness,” how much implied financing rates fall below MBS repo rates, (1) increases in the value of the cheapest-to-deliver option, (2) decreases in the leverage of primary dealers, (3) decreases in prepayment risk exposure during the financing period, and (4) decreases in MBS returns. The Federal Reserve’s dollar roll sales in quantitative easing operations are associated with lower specialness.
Hypothesis Testing, Specification Testing And Model Selection Based On The Mcmc Output Using R, Yong Li, Jun Yu, Tao Zeng
Hypothesis Testing, Specification Testing And Model Selection Based On The Mcmc Output Using R, Yong Li, Jun Yu, Tao Zeng
Research Collection School Of Economics
This chapter overviews several MCMC-based test statistics for hypothesis testing andspecification testing and MCMC-based model selection criteria developed in recentyears. The statistics for hypothesis testing can be viewed as the MCMC version ofthe “trinity” of test statistics based in maximum likelihood (ML), namely, the likelihoodratio (LR) test, the Lagrange multiplier (LM) test, and the Wald test. The model selection criteria correspond to two predictive distributions. One of them can be viewed asthe MCMC version of widely used information criterion, AIC. The asymptotic distributions of the test statistics and model selection criteria are discussed. The test statisticsand model selection criteria are …
More Buildings Make More Generalizable Models—Benchmarking Prediction Methods On Open Electrical Meter Data, Clayton Miller
More Buildings Make More Generalizable Models—Benchmarking Prediction Methods On Open Electrical Meter Data, Clayton Miller
Research Collection College of Integrative Studies
Prediction is a common machine learning (ML) technique used on building energy consumption data. This process is valuable for anomaly detection, load profile-based building control and measurement and verification procedures. Hundreds of building energy prediction techniques have been developed over the last three decades, yet there is still no consensus on which techniques are the most effective for various building types. In addition, many of the techniques developed are not publicly available to the general research community. This paper outlines a library of open-source regression techniques from the Scikit-Learn Python library and describes the process of applying them to open …
The Peripheral Experiences And Positionalities Of Korean New Zealander Returnees: Skilled Return Migrants And Knowledge Transfer, Jane Yeonjae Lee
The Peripheral Experiences And Positionalities Of Korean New Zealander Returnees: Skilled Return Migrants And Knowledge Transfer, Jane Yeonjae Lee
Research Collection School of Social Sciences
This article examines the peripheral experiences of skilled return migrants in their homeland and the wider social implications of global knowledge transfer. Through a case study of Korean New Zealander returnees, I argue that the process of skill transfer is not easy, as shown by the returnees’ difficulties and social alienation. Korean New Zealander returnees have a more alienated experience than Koreans of similar backgrounds returning from other Western countries.
Commentary: How Effectively Can Singapore Adapt To Sea Level Rise?, Winston T. L. Chow
Commentary: How Effectively Can Singapore Adapt To Sea Level Rise?, Winston T. L. Chow
Research Collection School of Social Sciences
Even as Singapore strives to adapt to rising sea levels, let’s not win that battle yet end up losing the larger war against climate change, says the Singapore Management University’s Winston Chow.
How China’S Ageing Population Will Impact On The Rest Of Us, Singapore Management University
How China’S Ageing Population Will Impact On The Rest Of Us, Singapore Management University
Perspectives@SMU
The world’s second largest economy is getting old before it gets rich
How ‘Status’ Considerations Affect China’S Un Votes, Singapore Management University
How ‘Status’ Considerations Affect China’S Un Votes, Singapore Management University
Perspectives@SMU
Beijing’s desire to align with both powerful peers and less influential states leads to a diplomatic balancing act
Location, Location, Location? Not Any More, Singapore Management University
Location, Location, Location? Not Any More, Singapore Management University
Perspectives@SMU
The retail industry faces a future where convenience and value-added services will be the deciding factors
Virtual Trees In The Real World, Singapore Management University
Virtual Trees In The Real World, Singapore Management University
Perspectives@SMU
Ant Forest made reforestation fun in China. Can the carbon reduction effort go global? How should it?
Forecasting In Blockchain-Based Local Energy Markets, Michael Kostmann, Wolfgang Karl Hardle
Forecasting In Blockchain-Based Local Energy Markets, Michael Kostmann, Wolfgang Karl Hardle
Sim Kee Boon Institute for Financial Economics
Increasingly volatile and distributed energy production challenges traditional mechanisms to manage grid loads and price energy. Local energy markets (LEMs) may be a response to those challenges as they can balance energy production and consumption locally and may lower energy costs for consumers. Blockchain-based LEMs provide a decentralized market to local energy consumer and prosumers. They implement a market mechanism in the form of a smart contract without the need for a central authority coordinating the market. Recently proposed blockchain-based LEMs use auction designs to match future demand and supply. Thus, such blockchain-based LEMs rely on accurate short-term forecasts of …
Arts For Community Development In Singapore, Kar Yee Lim
Arts For Community Development In Singapore, Kar Yee Lim
Social Space
In the National Arts Council’s Report on the Arts and Culture Strategic Review,4 it emphasised the importance of promoting social cohesion across population segments via arts and cultural initiatives. It further stated its objective to bring the arts to everyone, everywhere and every day; and to build capabilities to achieve excellence.
The Role Of The Arts In Placemaking Singapore, Su Fern Hoe
The Role Of The Arts In Placemaking Singapore, Su Fern Hoe
Social Space
Singapore is no exception. This is palpably evident in the recent disappearance of cherished spaces such as Rochor Centre, Sungei Road Flea Market and Pearl Bank Apartments. As Janadas Devan once aptly stated, “forgetting is the condition of Singapore.”
This leads one to wonder: in a cityscape where the only constant is change, how can we foster a sense of place and belonging? How and where do we develop social relations beyond our own homes? Are we still able to form meaningful experiences with others as well as our surroundings?
School Of Law Annual Report 2018: Embracing Change In An Evolving World, Singapore Management University
School Of Law Annual Report 2018: Embracing Change In An Evolving World, Singapore Management University
SMU Corporate Reports
The Annual Report highlights the School of Law’s modest achievements and developments over the past year, as well as the substantive impact of these initiatives.
Corporate Governance Of Innovation In Singapore Chinese Family Business, Geok Chwee Ong
Corporate Governance Of Innovation In Singapore Chinese Family Business, Geok Chwee Ong
Dissertations and Theses Collection (Open Access)
Despite the large number of research publications on innovation management matters, there is still a gap in the understanding of effective innovation governance at corporate levels. The mechanisms that drive effective governance at firm level to ensure the “alignment of goals, allocation of resources and assignment of decision-making authority for innovation across the company, and with external parties” (Deschamps, 2013) remain unclear. Given the importance of family firms in Asia (and beyond), there is an urgent need to examine those family factors that influence the effectiveness of corporate governance of innovation in Asian enterprise. Against this background, this study attempts …
Innovating Today To Build A Sustainable Tomorrow, Daryl Ng
Innovating Today To Build A Sustainable Tomorrow, Daryl Ng
Asian Management Insights
Daryl Ng, Deputy Chairman of Hong Kong-based real estate property developer Sino Group, speaks about his ideas and ideals on the built environment, sustainability, and how business and innovation can be a force for good.
Making It Work As A Working Mother: The Role Of Paradox Mindset In Positive Appraisal Of Working Motherhood Tensions, Tengjiao Huang
Making It Work As A Working Mother: The Role Of Paradox Mindset In Positive Appraisal Of Working Motherhood Tensions, Tengjiao Huang
Dissertations and Theses Collection (Open Access)
A prolific body of research on work-family interface documents the simultaneous, yet conflictual demands women face in fulfilling their roles as a career woman and a mother. However, little is known about how women cope with these contradictory tensions associated with working motherhood. This is important as many working women may decide to postpone motherhood to avoid the accompanying tensions. In this light, the current research leverages on the burgeoning literature on paradox management to investigate the role of a paradox mindset in positively appraising tensions to motivate dual career-motherhood endeavors. In positively appraising career-motherhood tensions, a paradox mindset is …
Volumetric Optimization Of Freight Cargo Loading: Case Study Of A Smu Forwarder, Tristan Lim, Michael Ser Chong Ping, Mark Goh, Shi Ying Jacelyn Tan
Volumetric Optimization Of Freight Cargo Loading: Case Study Of A Smu Forwarder, Tristan Lim, Michael Ser Chong Ping, Mark Goh, Shi Ying Jacelyn Tan
Research Collection School Of Computing and Information Systems
Purpose: Freight forwarders faces a challenging environment of high market volatility and margin compression risks. Hence, strategic consideration is given to undertaking capacity management and transport asset ownership to achieve longer term cost leadership. Doing so will also help to address management issues, such as better control of potential transport disruptions, improve scheduling flexibility and efficiency, and provide service level enhancement.Design/methodology/approach: The case company currently hastruck resource which is unprofitable, and the firm’s schedulers are having difficulty optimizing the loading capacity. We apply Genetic Algorithm (GA) to undertake volumetric optimization of truckcapacity and to build an easy-to-use platform to help …
Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan
Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan
Research Collection School Of Computing and Information Systems
With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the participation decision and working-hour decision, and evaluation of the impacts of hourly income rate on labor supply becomes important. In this paper, we propose an econometric framework with closed-form measures to estimate both the participation elasticity (i.e., extensive margin elasticity) and working-hour elasticity (i.e., intensive margin elasticity) of labor supply. We model the sample …
Zac: A Zone Path Construction Approach For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Zac: A Zone Path Construction Approach For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Research Collection School Of Computing and Information Systems
Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the right requests to travel in available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. The most relevant existing work has focussed on generating as many relevant feasible (with respect to available delay for customers) combinations of requests (referred to as trips) as possible in real-time. …