Social and Behavioral Sciences Commons^™

Diversity Of Shareholder Stewardship In Asia: Faux Convergence, Gen Goto, Alan K. Koh, Dan W. Puchniak

Research Collection Yong Pung How School Of Law

Since the UK adopted the world's first stewardship code in 2010, stewardship codes have proliferated across Asia. Given the UK Code's prominence, it is tempting to assume that every other stewardship code performs the same function as the UK Code. This assumption belies the truth: all these codes--regardless of whether they have in fact drawn inspiration from the UK Code--have taken different trajectories due to each adopting its jurisdiction's distinctive institutional and legal context.Using empirical evidence and in-depth case studies of stewardship in Japan and Singapore, this Article reveals how any reception of United Kingdom-style stewardship concepts is only skin …

Mindfulness Arrives At Work: Deepening Our Understanding Of Mindfulness In Organizations, Jochen Reb, Tammy Allen, Timothy J. Vogus

Research Collection Lee Kong Chian School Of Business

Mindfulness has become an increasingly popular practice and in parallel scholarly research has grown considerably. However, the study of mindfulness at work remains limited and motivates this special issue on “Mindfulness at Work: Pushing Theoretical and Empirical Boundaries.” In this introduction to the special issue we offer a brief initial grounding in the literature on mindfulness at work and in organizations. We then turn attention to how the six articles in this special issue advance this nascent field. We use both as a point of departure for considering the benefits and limits of mindfulness in organizations as well as the …

Go Big With Economic Push To Fight Covid-19, David Fernandez

Research Collection Lee Kong Chian School Of Business

Economic policymakers need to focus on taking bold and immediate action in order to tackle the pandemic crisis.

Covid-19 And Japanese Shareholder Activism: Brief Respite For Japan's Self-Healing Concrete, Toru Yoshikawa, Gavin Chua

Research Collection Lee Kong Chian School Of Business

Extrapolating from modern international understanding of corporate Japan’s distinct form of managerial capitalism, we elaborate on the growing momentum of shareholder activism in Japan leading up to the COVID-19 health crisis, so as to inform the subsequent discussion on the relevant primary considerations that belie the future direction of shareholder activism in Japan post-COVID-19. On an initial logical extrapolation, it appears probable that COVID-19 could mark the peak of Japanese activism. However, it is crucial to acknowledge that the success of Japan’s managerial capitalism have also declined, which poses a question on to which direction Japanese corporate governance may be …

For Cosmopolitan, Public, And Reflexive Sociology, Hiro Saito

Research Collection School of Social Sciences

Is sociological theory up to the challenge of understanding and explaining the phenomenon? I think that the kind of sociological theory capable of meeting this challenge has to be cosmopolitan, public, and reflexive. To understand the social and political impacts of the COVID-19 pandemic, we need to embrace what Ulrich Bech called "methodological cosmopolitan" to investigate a multitude of networks, mechanisms, and processes through which the pandemic reverberates across national borders. At the same time, this cosmopolitan sociology has to be publicly oriented, addressing head-on the urgent matters of concern among citizens, rather than driven by discipline-specific debates that are …

Depletion Manipulations Decrease Openness To Dissent Via Increased Anger, Ming-Hong Tsai, Norman P. Li

Research Collection School of Social Sciences

We investigated a potential outcome of ego depletion manipulations and an importantfactor behind cooperative failure: a lack of openness to others’ dissenting opinions.Across five studies in a variety of task settings, we examined the effect of depletionmanipulations on openness to dissent and investigated two negative emotions as potentialmediators of this process: fatigue and anger. The results demonstrated a negative effect ofdepletion manipulations on openness to dissent through increased anger rather thanfatigue (Studies 1–5). In Studies 3 and 4, we also eliminated perceived trust towards a taskcounterpart as a significant mediator of the relationship between depletion manipulationsand openness to dissent. These …

Students’ Conceptions Of Bell Curve Grading Fairness In Relation To Goal Orientation And Motivation, Lynette Tan, Brenda Yuen, Wee Ling Loo, Christiaan Prinsloo, Mark Gan

Research Collection Yong Pung How School Of Law

The controversial bell curve has received considerable attention in recent years as a grade distribution tool where “norm-referenced grading involves comparing students’ performances with each other” rather than where they fall on a “predefined continuum of quality” (Brookhart, 2013, p. 258). Despite educators’ deep concern on the fairness of bell curve grading, there is little research done on students’ conceptions of that grading system in higher education. This correlational study uses open-ended questions and three instruments to measure students’ conceptions of the fairness of bell curve grading, their goal orientations, and motivation. Undergraduates from three universities participated in the survey …

International Mediation And Covid-19: The New Normal?, Nadja Alexander

Research Collection Yong Pung How School Of Law

What is the SIMC COVID-19 Protocol? The Singapore International Mediation Centre (SIMC) has just launched the SIMC COVID-19 Protocol to provide businesses with an expedited, economical and effective route to resolve any international commercial disputes during the COVID-19 pandemic period. SIMC’s Covid-19 protocol is a great example of a leading mediation service provider reaching out to a market severely disrupted by Covid-19. The option for Singaporean and international parties to mediate online means for a highly accessible, time and cost effective path to resolve disputes that have emerged in the wake of Covid-19.

Ethics, Ai, Mass Data And Pandemic Challenges: Responsible Data Use And Infrastructure Application For Surveillance And Pre-Emptive Tracing Post-Crisis, Mark Findlay, Jia Yuan Loke, Nydia Remolina Leon, Yum Yin, Benjamin (Tan Renyan) Tham

Research Collection Yong Pung How School Of Law

As the COVID-19 health pandemic rages governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have the capacity to amass personal data and share for community control and citizen safety motivations that empower state agencies and inveigle citizen co-operation which could only be imagined outside such times of real and present danger. While not cavilling with the short-term necessity for these technologies and the data they control, process and share in the health regulation mission, this paper argues that this infrastructure …

Singapore’S Puzzling Embrace Of Shareholder Stewardship: A Successful Secret, Dan W. Puchniak, Samantha S. Tang

Research Collection Yong Pung How School Of Law

In the wake of the 2008 Global Financial Crisis, the UK created the first stewardship code which was designed to transform its rationally passive institutional investors into actively engaged shareholders. In the UK corporate governance context, this idea made sense. Institutional investors collectively own a sizable majority of the shares in most of the UK’s listed companies. In turn, if the UK stewardship code could incentivize them to effectively monitor management – to act as “good shareholder stewards” – the managerial short-termism and excessive risk-taking, which were identified as contributors to the GFC, could be avoided.The UK’s idea to adopt …

Does Intergeneration Succession Influence Stock Prices Of Family Businesses?, Kunlun Zou, Rong Wu, Pu Chen

Research Collection Lee Kong Chian School Of Business

China’s A-shares family listed companies are facing a period of high intergenerational succession. This has attracted the attention and research of many scholars. The existing studies mainly focus on the motives, methods, and influencing factors of family business’ intergenerational succession, and there are few studies involving the reaction of the capital markets. This article takes 45 listed family businesses as samples and uses the synthetic control method to examine the impact and the degree of influence that intergenerational succession has on stock price movements. Thereafter, a difference-in-differences estimation is conducted to test for robustness. At the conclusion of our research, …

Detecting Latent Communities In Network Formation Models, Shujie Ma, Liangjun Su, Yichong Zhang

Research Collection School Of Economics

This paper proposes a logistic undirected network formation model which allows for assortative matching on observed individual characteristics and the presence of edge-wise fixed effects. We model the coefficients of observed characteristics to have a latent community structure and the edge-wise fixed effects to be of low rank. We propose a multi-step estimation procedure involving nuclear norm regularization, sample splitting, iterative logistic regression and spectral clustering to detect the latent communities. We show that the latent communities can be exactly recovered when the expected degree of the network is of order log n or higher, where n is the number …

Asymptotic Theory For Near Integrated Processes Driven By Tempered Linear Processes, Farzad Sabzikar, Qiying Wang, Peter C. B. Phillips

Research Collection School Of Economics

In an early article on near-unit root autoregression, Ahtola and Tiao (1984) studied the behavior of the score function in a stationary first order autoregression driven by independent Gaussian innovations as the autoregressive coefficient approached unity from below. The present paper develops asymptotic theory for near-integrated random processes and associated regressions including the score function in more general settings where the errors are tempered linear processes. Tempered processes are stationary time series that have a semi-long memory property in the sense that the autocovariogram of the process resembles that of a long memory model for moderate lags but eventually diminishes …

A Data-Driven Analysis On The Impact Of High-Speed Rails On Land Prices In Taiwan, Joyce M. W. Low, Byung Kwon Lee

Research Collection Lee Kong Chian School Of Business

High-speed rail (HSR) networks boost inter-city accessibility across a country and stimulate economic growth in inner cities. These economic gains, however, can often be accompanied by sharp increases in land and property prices along the lines that raise governmental concerns. This study examined the effect of the introduction of HSR on land prices in Taiwan and how the extent of such an effect varied with the stages of economic, societal, and infrastructural developments in different cities in Taiwan. Based on extensive published data, an empirical study was conducted using an integrated methodology comprising system dynamics, multivariate regression, and principal component …

Crowdsourcing Hypothesis Tests: Making Transparent How Design Choices Shape Research Results, Justin F. Landy, Miaolei Jia, Isabel L. Ding, Domenico Viganola, Warren Tierney, Andree Hartanto

Research Collection School of Social Sciences

To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer five original research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams rendered statistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to …

Learning To Leave: Filipino Families And The Making Of The Global Filipino Nurse, Yasmin Y. Ortiga

Research Collection School of Social Sciences

This chapter investigates how this process of reconfiguring the “social” plays out in the context of the Philippines’ labor export system and pervasive culture of emigration. Focusing on the case of Filipino nursing graduates seeking to work overseas, this chapter discusses how the success of the Philippines’ labor-brokering process relies on individuals who can take on the responsibility of transforming themselves, mainly through education and training, into desirable workers for future employers. While the migration literature had largely framed emigration as an individual aspiration and project, this chapter demonstrates how families subsidize the Philippine state’s labor export system by taking …

Forecast Combinations In Machine Learning, Yue Qiu, Tian Xie, Jun Yu

Research Collection School Of Economics

This paper introduces novel methods to combine forecasts made by machine learning techniques. Machine learning methods have found many successful applications in predicting the response variable. However, they ignore model uncertainty when the relationship between the response variable and the predictors is nonlinear. To further improve the forecasting performance, we propose a general framework to combine multiple forecasts from machine learning techniques. Simulation studies show that the proposed machine-learning-based forecast combinations work well. In empirical applications to forecast key macroeconomic and financial variables, we find that the proposed methods can produce more accurate forecasts than individual machine learning techniques and …

Econometric Methods And Data Science Techniques: A Review Of Two Strands Of Literature And An Introduction To Hybrid Methods, Tian Xie, Jun Yu, Tao Zeng

Research Collection School Of Economics

The data market has been growing at an exceptional pace. Consequently, more sophisticated strategies to conduct economic forecasts have been introduced with machine learning techniques. Does machine learning pose a threat to conventional econometric methods in terms of forecasting? Moreover, does machine learning present great opportunities to cross-fertilize the field of econometric forecasting? In this report, we develop a pedagogical framework that identifies complementarity and bridges between the two strands of literature. Existing econometric methods and machine learning techniques for economic forecasting are reviewed and compared. The advantages and disadvantages of these two classes of methods are discussed. A class …

Douglas Kenrick, Norman P. Li

Research Collection School of Social Sciences

Douglas Kenrick is a president’s professor of social psychology at Arizona State University (ASU). He received a BA in psychology from Dowling College (1970) and a PhD (1976) in social psychology from Arizona State University under the tutelage of Robert Cialdini. Kenrick then served as an assistant professor of psychology at Montana State University before coming back to ASU. In 2018–2019, Kenrick served as president of the Human Behavior and Evolution Society. He has authored over 200 highly cited academic articles, 2 textbooks, and 2 popular books – Sex, Murder, and the Meaning of Life (2011) and The Rational Animal …

Crisis Communications: Facing Covid-19 Together Could Lead To Positive Psychological Growth, Lowri Dowthwaite

Social Space

Although news reports of hoarding, and panic-buying might make it hard to believe, research shows that natural disasters, like the COVID-19 pandemic, can actually bring out the best in people. Although times of significant threat or crisis can cause post-traumatic stress, research shows that so-called “adversarial growth” is just as common as a response. This is our capacity to not only overcome a crisis, but to actually grow stronger, wiser and more resilient.

Circuit Breaker: Working From Home, Singapore Management University

Perspectives@SMU

How one company's early efforts to accomodate employees' work-life needs primed it for COVID-19-triggered work from home requirements

Measuring The Chinese Economic Impact Of Covid-19, Singapore Management University

Perspectives@SMU

The COVID-19 outbreak currently sweeping around the globe with deadly results will create hardships for a good proportion of businesses in China while generating new opportunities for others, says Jing Wu, Assistant Professor at The Chinese University of Hong Kong’s Department of Decision Sciences and Managerial Economics.

3 Lessons From The Gfc In How To Lead Through The Coronavirus Crisis, Singapore Management University

Perspectives@SMU

There are three lessons to be learned from the GFC that will help leaders in managing through the coronavirus crisis, according to a UNSW Business School expert

Covid-19 Has Rewritten Social Narratives. What We Now Need Is A Unifying Mindset, Arthur Adimoelia

Social Space

As COVID-19 cases climb into the millions and the world scrambles to contain its spread, many fingers are pointed at different members of society for not taking social distancing and other mitigating measures seriously.

Strengthening Social Fabric And Quality Of Life, Singapore Management University

Research Collection Office of Research

In this booklet, read about our research in the area of “Strengthening Social Fabric and Quality of Life”.

Contents:

Well-being of People, Groups, Organisations, Societies

• Serving the Underserved
• Does Family Background Affect Socioeconomic Mobility?
• Becoming a Happy Analyst
• Effective Childcare Subsidies
• Birds of a Feather Flock Together

Successful Ageing of People, of Populations

• Economic and Social Aspects of Ageing Successfully
• Exploring the Effectiveness of Smart Technologies in Eldercare
• Keeping our Silver Edge Sharp
• Sleep Quality & Dementia

Social Inclusion, Exclusion, Inequality

• The Helping Hand of Diversity
• Protecting Vulnerable Adults
• Finding the Path to an Inclusive Society
• Well-being of Singapore Youth …

What Makes A Good Person?, Ishan Singh

Social Space

A few weeks ago, my editor sent me this New York Times article about “how to be good”, asking if I'd be interested to pen a commentary based on a similar premise. It seemed easy enough at the time, so I readily agreed. But once I got down to actually thinking about the subject, I found myself at a loss for words.

Art Attack! Tanya Wilson's Creative Mission To Engage Children On Social Issues, Singapore Management University

Social Space

Meet Tanya Wilson, 41, co-founder of EYEYAH!, an interactive platform that uses visually arresting design and artworks to educate children on important social issues like internet safety, healthy eating, mental health, climate change and so on. The mother of two primary-school-aged daughters is no stranger to the creative industry, having spent two decades developing content and experiences for the likes of Netflix, Facebook, Nike, Coca-Cola, Tiger Beer and Heineken. These days, Tanya and her co-founder Steve Lawler are busy equipping young learners with creative thinking skills which, they believe, are essential to solving the world's complex challenges. ISHAN SINGH …

Government Initiatives May Dovetail With Companies' Sustainability Reporting, Cecilia Tortajada, Wee-Kiat Lim, Ishaan Bindal

CCX Research

In a commentary, Associate Director of SMU’s Centre for Management Practice Lim Wee Kiat, together with Cecilia Tortajada from the Lee Kuan Yew School of Public Policy, and Ishaan Bindal from the Institute of Water Policy, noted that research has indicated that “sustainability reporting is somewhat stalled when it comes to driving impact”, and discussed the options to sustainability reporting. They also shared about their findings in their ongoing research on sustainability reporting which includes reviews of reports from 2014 by companies listed on the Singapore Exchange (SGX), to explain how PUB's efforts may dovetail with SGX's on sustainability reporting.

Are These Comments Triggering? Predicting Triggers Of Toxicity In Online Discussions, Hind Almerekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

Understanding the causes or triggers of toxicity adds a new dimension to the prevention of toxic behavior in online discussions. In this research, we define toxicity triggers in online discussions as a non-toxic comment that lead to toxic replies. Then, we build a neural network-based prediction model for toxicity trigger. The prediction model incorporates text-based features and derived features from previous studies that pertain to shifts in sentiment, topic flow, and discussion context. Our findings show that triggers of toxicity contain identifiable features and that incorporating shift features with the discussion context can be detected with a ROC-AUC score of …

Recipegpt: Generative Pre-Training Based Cooking Recipe Generation And Evaluation System, Helena Huey Chong Lee, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney

Research Collection School Of Computing and Information Systems

Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system provides two modes of text generations: (1) instruction generation from given recipe title and ingredients; and (2) ingredient generation from recipe title and cooking instructions. Its back-end text generation module comprises a generative pre-trained language model GPT-2 fine-tuned on a large cooking recipe dataset. Moreover, the recipe evaluation module allows the users to conveniently inspect the quality of the generated recipe …