Digital Commons Network^™

Collaborative Benefits And Coordination Costs: Learning And Capability Development In Science, M. Onal Vural, Linus Dahlander, Gerard George

Research Collection Lee Kong Chian School Of Business

We examine the effects of team structure and experience on the impact of inventions produced by scientific teams. Whereas multidisciplinary, collaborative teams have become the norm in scientific production, there are coordination costs commensurate with managing such teams. We use patent citation analysis to examine the effect of prior collaboration and patenting experience on invention impact of 282 patents granted in human embryonic stem cell (hESC) research from 1998 to 2010. Our results reveal that team experience outside the domain may be detrimental to project performance in a setting where the underlying knowledge changes. In stem cell science, we show …

Oral History Interview With Sim Teow Hong: Growing Smu, Teow Hong Sim

Oral History Collection

The interview covered: first involvement with SMU, finance administration, CFO, government funding, stakeholders, tuition fees, financial crisis, donors, campus development, facilities management, student hostels, parent, risk management, reputation.

Biography: Senior Vice President of Finance & Administration, SMU, 1999–2016

Sim Teow Hong graduated with a Bachelor of Accountancy from the former University of Singapore and worked as an auditor with the Ernst & Young public accounting firm for a few years. He then embarked on a banking career by joining the Chase Manhattan Bank (now JP Morgan Chase), Singapore. He worked with the Bank for 18 years, fulfilling different roles from …

Konformity Kills, Singapore Management University

Perspectives@SMU

Unconventional Thinking. More crucial now than ever before. According to Dr. Eric J. Romero, the fall of the great brands of the last millennium - Nokia, Kodak, Hewlett Packard and General Motors - are examples of how conventional thinking impedes innovation. Nowadays, it is unconventional leadership and thinking that spur competitive advantage. The importance of creativity has been emphasised in nearly all literature and journal articles published this decade, adds the author of “Compete Outside the Box: The Unconventional Way to Beat the Competition”. "The fact is, the lack of it has brought the corporate behemoths …

Do Singaporeans Spend Too Much On Housing?, Sock Yong Phang

Research Collection School Of Economics

According to a 2011 IMF study, Singapore's level of government intervention in housing finance is the highest in the developed world (Slide 3). This level of intervention in housing finance has correspondingly produced the highest level of homeownership amongst advanced countries. This housing outcome is the result of our very unique HDB-CPF housing framework – an institutional framework that was established in the 1960s during the formative period of our country?s history (Slides 4 and 5). Singapore was, at that particular point in time, faced with a situation of chronic housing shortage, low homeownership rates and an underdeveloped housing mortgage …

The Liability Of Foreignness In International Equity Investments: Evidence From The U.S. Stock Market, Bok Baik, Jun-Koo Kang, Jin-Mo Kim, Joonho Lee

Research Collection School Of Accountancy

Using foreign institutional ownership data in the US from 1990 to 2007, we examine whether foreign institutional investors face liabilities of foreignness (LOF) in the US stock market. We find that foreign institutional investors prefer low information asymmetry stocks more than domestic institutional investors do, and this preference for low information asymmetry stocks is particularly strong among foreign institutional investors from countries with high LOF. More importantly, we find that a change in foreign institutional ownership is negatively related to future returns, whereas this relation does not exist for domestic institutional ownership. The negative relation between the change in foreign …

Tower Of Babel: A Crowdsourcing Game Building Sentiment Lexicons For Resource-Scarce Languages, Yoonsung Hong, Haewoon Kwak, Youngmin Baek, Sue. Moon

Research Collection School Of Computing and Information Systems

With the growing amount of textual data produced by online social media today, the demands for sentiment analysis are also rapidly increasing; and, this is true for worldwide. However, non-English languages often lack sentiment lexicons, a core resource in performing sentiment analysis. Our solution, Tower of Babel (ToB), is a language-independent sentiment-lexicon-generating crowdsourcing game. We conducted an experiment with 135 participants to explore the difference between our solution and a conventional manual annotation method. We evaluated ToB in terms of effectiveness, efficiency, and satisfactions. Based on the result of the evaluation, we conclude that sentiment classification via ToB is accurate, …

R-Energy For Evaluating Robustness Of Dynamic Networks, Ming Gao, Ee Peng Lim, David Lo

Research Collection School Of Computing and Information Systems

The robustness of a network is determined by how well its vertices are connected to one another so as to keep the network strong and sustainable. As the network evolves its robustness changes and may reveal events as well as periodic trend patterns that affect the interactions among users in the network. In this paper, we develop R-energy as a new measure of network robustness based on the spectral analysis of normalized Laplacian matrix. R-energy can cope with disconnected networks, and is efficient to compute with a time complexity of O (jV j + jEj) where V and E are …

Designing Leakage-Resilient Password Entry On Touchscreen Mobile Devices, Qiang Yan, Jin Han, Yingjiu Li, Jianying Zhou, Robert H. Deng

Research Collection School Of Computing and Information Systems

Touchscreen mobile devices are becoming commodities as the wide adoption of pervasive computing. These devices allow users to access various services at anytime and anywhere. In order to prevent unauthorized access to these services, passwords have been pervasively used in user authentication. However, password-based authentication has intrinsic weakness in password leakage. This threat could be more serious on mobile devices, as mobile devices are widely used in public places. Most prior research on improving leakage resilience of password entry focuses on desktop computers, where specific restrictions on mobile devices such as small screen size are usually not addressed. Meanwhile, additional …

Your Love Is Public Now: Questioning The Use Of Personal Information In Authentication, Payas Gupta, Swapna Gottipati, Jing Jiang, Debin Gao

Research Collection School Of Computing and Information Systems

Most social networking platforms protect user's private information by limiting access to it to a small group of members, typically friends of the user, while allowing (virtually) everyone's access to the user's public data. In this paper, we exploit public data available on Facebook to infer users' undisclosed interests on their profile pages. In particular, we infer their undisclosed interests from the public data fetched using Graph APIs provided by Facebook. We demonstrate that simply liking a Facebook page does not corroborate that the user is interested in the page. Instead, we perform sentiment-oriented mining on various attributes of a …

Cost-Sensitive Double Updating Online Learning And Its Application To Online Anomaly Detection, Peilin Zhao, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Although both cost-sensitive classification and online learning have been well studied separately in data mining and machine learning, there was very few comprehensive study of cost-sensitive online classification in literature. In this paper, we formally investigate this problem by directly optimizing cost-sensitive measures for an online classification task. As the first comprehensive study, we propose the Cost-Sensitive Double Updating Online Learning (CSDUOL) algorithms, which explores a recent double updating technique to tackle the online optimization task of cost-sensitive classification by maximizing the weighted sum or minimizing the weighted misclassification cost. We theoretically analyze the cost-sensitive measure bounds of the proposed …

Why Individuals Seek Diverse Opinions (Or Why They Don't), Jisun An, Daniele Quercia, Jon Crowcroft

Research Collection School Of Computing and Information Systems

Fact checking has been hard enough to do in traditional settings, but, as news consumption is moving on the Internet and sources multiply, it is almost unmanageable. To solve this problem, researchers have created applications that expose people to diverse opinions and, as a result, expose them to balanced information. The wisdom of this solution is, however, placed in doubt by this paper. Survey responses of 60 individuals in the UK and South Korea and in-depth structured interviews of 10 respondents suggest that exposure to diverse opinions would not always work. That is partly because not all individuals equally value …

Dynamic Synthesis Of Local Time Requirement For Service Composition, Tian Huat Tan, Étienne André, Jun Sun, Yang Liu, Jin Song Dong, Manman Chen

Research Collection School Of Computing and Information Systems

Service composition makes use of existing servicebased applications as components to achieve a business goal. In time critical business environments, the response time of a service is crucial, which is also reflected as a clause in service level agreements (SLAs) between service providers and service users. To allow the composite service to fulfill the response time requirement as promised, it is important to find a feasible set of component services, such that their response time could collectively allow the satisfaction of the response time of the composite service. In this work, we propose a fully automated approach to synthesize the …

Her Voice Lingers On And Her Memory Is Strategic: Effects Of Gender On Directed Forgetting, Hwajin Yang, Sujin Yang, Giho Park

Research Collection School of Social Sciences

The literature on directed forgetting has employed exclusively visual words. Thus, the potentially interesting aspects of a spoken utterance, which include not only vocal cues (e.g., prosody) but also the speaker and the listener, have been neglected. This study demonstrates that prosody alone does not influence directed-forgetting effects, while the sex of the speaker and the listener significantly modulate directed-forgetting effects for spoken utterances. Specifically, forgetting costs were attenuated for female-spoken items compared to male-spoken items, and forgetting benefits were eliminated among female listeners but not among male listeners. These results suggest that information conveyed in a female …

How Important Are Earnings Announcements As An Information Source?, Sudipta Basu, Truong Duong, Stanimir Markov, Eng Joo Tan

Research Collection Lee Kong Chian School Of Business

In a competitive information market, no single information source is likely to dominate all other sources collectively, but a single source can dominate all or most other sources individually. We explore whether earnings announcements constitute such a dominant source using Ball and Shivakumar’s R2 metric: the proportion of the variation in annual returns explained by earnings announcement returns. We find that earnings announcement R2 is 11% -- higher than the corresponding R2 of returns on days with dividend announcements, management forecasts, preannouncements, 10-K and 10-Q filings and amendments. Only the four largest realized absolute daily returns in a year match …

A Nonparametric Poolability Test For Panel Data Models With Cross Section Dependence, Sainan Jin, Liangjun Su

Research Collection School Of Economics

In this article we propose a nonparametric test for poolability in large dimensional semiparametric panel data models with cross-section dependence based on the sieve estimation technique. To construct the test statistic, we only need to estimate the model under the alternative. We establish the asymptotic normal distributions of our test statistic under the null hypothesis of poolability and a sequence of local alternatives, and prove the consistency of our test. We also suggest a bootstrap method as an alternative way to obtain the critical values. A small set of Monte Carlo simulations indicate the test performs reasonably well in finite …

Nonparametric Dynamic Panel Data Models With Interactive Fixed Effects: Sieve Estimation And Specification Testing, Liangjun Su, Yonghui Zhang

Research Collection School Of Economics

In this paper we analyze nonparametric dynamic panel data models with interactive fixed effects, where the predetermined regressors enter the models nonparametrically and the common factors enter the models linearly but with individual specific factor loadings. We consider the issues of estimation and specification testing when both the cross-sectional dimension and the time dimension are large. We propose sieve estimation for the nonparametric function by extending Bai’s (2009) principal component analysis (PCA) to our nonparametric framework. Based on the asymptotic expansion of the Gaussian quasi-log-likelihood function, we derive the convergence rate for the sieve estimator and establish its asymptotic normality. …

Lm Tests Of Spatial Dependence Based On Bootstrap Critical Values, Zhenlin Yang

Research Collection School Of Economics

To test the existence of spatial dependence in an econometric model, a convenient test is the Lagrange Multiplier (LM) test. However, evidence shows that, in finite samples, the LM test referring to asymptotic critical values may suffer from the problems of size distortion and low power, which become worse with a denser spatial weight matrix. In this paper, residual-based bootstrap methods are introduced for asymptotically refined approximations to the finite sample critical values of the LM statistics. Conditions for their validity are clearly laid out and formal justifications are given in general, and in details under several popular spatial LM …

Personal Informatics In Chronic Illness Management, Haley Macleod, Anthony Tang, Sheelagh Carpendale

Research Collection School Of Computing and Information Systems

Many people with chronic illness suffer from debilitating symptoms or episodes that inhibit normal day-to-day function. Pervasive tools offer the possibility to help manage these conditions, particularly by helping people understand their conditions. But, it is unclear how to design these tools, as prior designs have focused on effortful tracking and many see those tools as a burden to use. We report here on an interview study with 12 individuals with chronic illnesses who collect personal data. We learn that these people are motivated through self-discovery and curiosity. We explore how these concepts may support the design of tools that …

Onespace: Shared Depth-Corrected Video Interaction, David Ledo, Bon Adriel Aseniero, Sebastian Boring, Anthony Tang

Research Collection School Of Computing and Information Systems

Video conferencing commonly employs a video portal metaphor to connect individuals from remote spaces. In this work, we explore an alternate metaphor, a shared depth mirror, where video images of two spaces are merged into a single shared, depth-corrected video. Just as seeing one’s mirror image causes reflective interaction, the shared video space changes the nature of interaction in the video space. We realize this metaphor in OneSpace, where the space respects virtual spatial relationships between people and objects, and in so doing, encourages cross-site, full-body interactions. We report preliminary observations of OneSpace in use, describing the role of depth …

An Architecture For Online Semantic Labeling On Ugvs, Arne Suppe, Luis Navarro-Serment, Daniel Munoz, Drew Bagnell, Martial Hebert

Research Collection School Of Computing and Information Systems

We describe an architecture to provide online semantic labeling capabilities to field robots operating in urban environments. At the core of our system is the stacked hierarchical classifier developed by Munoz et al.,1 which classifies regions in monocular color images using models derived from hand labeled training data. The classifier is trained to identify buildings, several kinds of hard surfaces, grass, trees, and sky. When taking this algorithm into the real world, practical concerns with difficult and varying lighting conditions require careful control of the imaging process. First, camera exposure is controlled by software, examining all of the image’s pixels, …

Leakage Resilient Authenticated Key Exchange Secure In The Auxiliary Input Model, Guomin Yang, Yi Mu, Willy Susilo, Duncan S. Wong

Research Collection School Of Computing and Information Systems

Authenticated key exchange (AKE) protocols allow two parties communicating over an insecure network to establish a common secret key. They are among the most widely used cryptographic protocols in practice. In order to resist key-leakage attacks, several leakage resilient AKE protocols have been proposed recently in the bounded leakage model. In this paper, we initiate the study on leakage resilient AKE in the auxiliary input model. A promising way to construct such a protocol is to use a digital signature scheme that is entropically-unforgeable under chosen message and auxiliary input attacks. However, to date we are not aware of any …

Mining Sql Injection And Cross Site Scripting Vulnerabilities Using Hybrid Program Analysis, Lwin Khin Shar, Hee Beng Kuan Tan, Lionel C. Briand

Research Collection School Of Computing and Information Systems

In previous work, we proposed a set of static attributes that characterize input validation and input sanitization code patterns. We showed that some of the proposed static attributes are significant predictors of SQL injection and cross site scripting vulnerabilities. Static attributes have the advantage of reflecting general properties of a program. Yet, dynamic attributes collected from execution traces may reflect more specific code characteristics that are complementary to static attributes. Hence, to improve our initial work, in this paper, we propose the use of dynamic attributes to complement static attributes in vulnerability prediction. Furthermore, since existing work relies on supervised …

Your Love Is Public Now: Questioning The Use Of Personal Information In Authentication, Payas Gupta, Swapna Gottipati, Jing Jiang, Debin Gao

Research Collection School Of Computing and Information Systems

Most social networking platforms protect user's private information by limiting access to it to a small group of members, typically friends of the user, while allowing (virtually) everyone's access to the user's public data. In this paper, we exploit public data available on Facebook to infer users' undisclosed interests on their profile pages. In particular, we infer their undisclosed interests from the public data fetched using Graph APIs provided by Facebook. We demonstrate that simply liking a Facebook page does not corroborate that the user is interested in the page. Instead, we perform sentiment-oriented mining on various attributes of a …

Strong Location Privacy: A Case Study On Shortest Path Queries [Invited Paper], Kyriakos Mouratidis

Research Collection School Of Computing and Information Systems

The last few years have witnessed an increasing availability of location-based services (LBSs). Although particularly useful, such services raise serious privacy concerns. For example, exposing to a (potentially untrusted) LBS the client's position may reveal personal information, such as social habits, health condition, shopping preferences, lifestyle choices, etc. There is a large body of work on protecting the location privacy of the clients. In this paper, we focus on shortest path queries, describe a framework based on private information retrieval (PIR), and conclude with open questions about the practicality of PIR and other location privacy approaches.

Contextualising Csr In Asia: Corporate Social Responsibility In Asian Economies, Bindu Sharma

Lien Centre for Social Innovation: Research

This publication seeks to present a narrative about the practice of CSR in ten Asian economies – China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan and Thailand. The aim is to present a uniquely Asian perspective on the CSR story in these countries that will inform CSR practitioners, researchers and interested corporate stakeholders. Drawing on historical and traditional notions of business responsibility and engagement, the research looks at modern day drivers of CSR in these countries such as the government, civil society, globalisation and enlightened self-interest. The research also throws light on other underlying influences and looks at …

Are The Loan Loss And Fair Value Components Of Bank Income Rationally Priced?, Chu Yeong Lim, Edward Lee, Martin Walker

Research Collection School Of Accountancy

This paper examines if the market rationally prices the loan loss provisions, and the fair value gains and losses of US banks. We also model the discretionary components of loan loss provisions and fair value gains and losses, and test if the discretionary components are priced differently from their non-discretionary counterparts. We find little evidence that the market misprices operating cash flows, non-discretionary loan loss provisions, or fair value gains and losses (discretionary or otherwise). However we do find evidence of significant mispricing of discretionary loan loss provisions. This evidence remains significant even after controlling for the fact that loan …

Arraytrack: A Fine-Grained Indoor Location System, Jie Xiong, Kyle Jamieson

Research Collection School Of Computing and Information Systems

With myriad augmented reality, social networking, and retail shopping applications all on the horizon for the mobile handheld, a fast and accurate location technology will become key to a rich user experience. When roaming outdoors, users can usually count on a clear GPS signal for accurate location, but indoors, GPS often fades, and so up until recently, mobiles have had to rely mainly on rather coarse-grained signal strength readings. What has changed this status quo is the recent trend of dramatically increasing numbers of antennas at the indoor access point, mainly to bolster capacity and coverage with multiple-input, multiple-output (MIMO) …

Roundtriprank: Graph-Based Proximity With Importance And Specificity, Yuan Fang, Kevin Chen-Chuan Chang, Hady W. Lauw

Research Collection School Of Computing and Information Systems

Graph-based proximity has many applications with different ranking needs. However, most previous works only stress the sense of importance by finding "popular” results for a query. Often times important results are overly general without being well-tailored to the query, lacking a sense of specificity— which only emerges recently. Even then, the two senses are treated independently, and only combined empirically. In this paper, we generalize the well-studied importance-based random walk into a round trip and develop RoundTripRank, seamlessly integrating specificity and importance in one coherent process. We also recognize the need for a flexible trade-off between the two senses, and …

Vistruclizer: A Structural Visualizer For Multi-Dimensional Social Networks, Bingtian Dai, Agus Trisnajaya Kwee, Ee Peng Lim

Research Collection School Of Computing and Information Systems

With the popularity of Web 2.0 sites, social networks today increasingly involve different kinds of relationships among different types of users in a single network. Such social networks are said to be multi-dimensional. Analyzing multi-dimensional networks is a challenging research task that requires intelligent visualization techniques. In this paper, we therefore propose a visual analytics tool called ViStruclizer to analyze structures embedded in a multi-dimensional social network. ViStruclizer incorporates structure analyzers that summarize social networks into both node clusters each representing a set of users, and edge clusters representing relationships between users in the node clusters. ViStruclizer supports user interactions …

Military Service, Exposure To Trauma, And Health In Older Adulthood: An Analysis Of Northern Vietnamese Older Adults, Kim Korinek, Bussarawan Teerawichitchainan

Research Collection School of Social Sciences

The long-term, indirect effects of war on older adult health are poorly understood, especially in less developed societies where armed conflict concentrates. In this paper we analyse the determinants of self-reported health, chronic conditions, somatoform symptoms and depressive symptoms in a sample of northern Vietnamese ages 55 and older, who encountered mass mobilization for war and widespread exposure to war traumas in early adulthood. Results of multivariate models indicate that service in combat roles predicts poor self-reported health, health complaints and chronic illness in late adulthood. No such relationship is observed for depressive symptoms, a pattern consistent with previous research …