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Growth Accounting For A Follower-Economy In A World Of Ideas: The Example Of Singapore, Kong Weng Ho, Hian Teck Hoon Jun 2006

Growth Accounting For A Follower-Economy In A World Of Ideas: The Example Of Singapore, Kong Weng Ho, Hian Teck Hoon

Research Collection School Of Economics

In this paper, we take another approach to accounting for the sources of Singapore’s economic growth by being explicit about the channels through which Singapore, as a technological follower, benefits from international R&D spillovers. Taking into account the channels through which technology developed in the G5 countries diffuses to technological followers, we show that 57.5 percent of Singapore’s real GDP per worker growth rate over the 1970-2002 period is due to multifactor productivity growth. In particular, about 52 percent of the growth is accounted for by an increase in the effectiveness of accessing ideas developed by the technology leaders through …


Learning Distance Metrics With Contextual Constraints For Image Retrieval, Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma Jun 2006

Learning Distance Metrics With Contextual Constraints For Image Retrieval, Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Ying Ma

Research Collection School Of Computing and Information Systems

Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. One is the lack of exploiting negative constraints which can also be informative, and the other is its incapability of capturing complex nonlinear relationships between data instances with the contextual information. In this paper, we propose two algorithms to overcome these two disadvantages, i.e., Discriminative Component Analysis (DCA) and Kernel DCA. Compared with other complicated methods for distance metric learning, our algorithms are rather simple to understand and very easy to solve. We evaluate the performance of …


Cognitive Mapping Techniques For User-Database Interaction, Keng Siau, X. Tan Jun 2006

Cognitive Mapping Techniques For User-Database Interaction, Keng Siau, X. Tan

Research Collection School Of Computing and Information Systems

In this paper, we first develop a framework of user-database interaction. Based on this framework, we then provide a discussion on how notable human factors influence various dimensions of user-database interaction. Following that, we propose using cognitive mapping techniques to overcome some cognitive and behavioral biases during user-database interaction. Three popular cognitive mapping techniques-causal mapping, semantic mapping, and concept mapping-are introduced as techniques to elicit an individual's belief systems regarding a problem domain. Through an example database application, we demonstrate how to use these cognitive mapping techniques to improve user-database interaction. Finally, we discuss the implications of this research for …


Financial Value Of Brands In Mergers And Acquisitions: Is Value In The Eye Of The Beholder?, Cem Badahir, Sundar G.Bharadwaj, Rajendra Kumar Srivastava Jun 2006

Financial Value Of Brands In Mergers And Acquisitions: Is Value In The Eye Of The Beholder?, Cem Badahir, Sundar G.Bharadwaj, Rajendra Kumar Srivastava

Research Collection Lee Kong Chian School Of Business

Firms frequently engage in merger and acquisition deals. In these transactions, brands account for significant but differential proportions of overall transaction value. Extant marketing literature on financial value of brands focuses on drivers of financial value only within a firm. However, in a merger and acquisition context, value of brands also depends on how their new owners might leverage them in the marketplace. This study identifies and empirically tests both the target and acquirer characteristics that affect the value of target firm’s brands in mergers and acquisitions. Furthermore, the authors examine the moderating role of deal type and target firm …


Make, Buy, Or Ally: A Transaction Cost Theory Meta-Analysis, Inge Geyskens, Jan-Benedict E. M. Steenkamp, Nirmalya Kumar Jun 2006

Make, Buy, Or Ally: A Transaction Cost Theory Meta-Analysis, Inge Geyskens, Jan-Benedict E. M. Steenkamp, Nirmalya Kumar

Research Collection Lee Kong Chian School Of Business

Since the publication of Williamson's Markets and Hierarchies, many empirical articles have investigated the tenets of transaction cost theory. Using meta-analytic techniques, we quantitatively synthesized and evaluated transaction cost-based empirical research on organizational boundary (make, buy, or ally) decisions. We found strong support for the theory for both make versus buy and ally versus buy decisions. However, we did not find evidence that asset specificity had stronger predictive power than uncertainty. Hierarchical and relational governance appropriately aligned with transaction dimensions both led to enhanced performance. On the basis of our meta-analysis, we provide directions for future research.


Fashion Sense, Nirmalya Kumar, Sophie Linguri Jun 2006

Fashion Sense, Nirmalya Kumar, Sophie Linguri

Research Collection Lee Kong Chian School Of Business

The article focuses on Zara store, which was opened in La Coruña, in Northwest Spain. The stores of Zara had a selling area of 811,100 square meters in 56 countries. Zara had become the best-known fashion brand in Spain and the flagship brand of 5.7 billion euros holding group Inditex, with sales of 3.8 billion euros in the financial year 2004. Among the keys to the success of Zara is its approach to the supply chain. Half of the garments of Zara is sourced around from third parties in low-cost manufacturing locations, including Asia. Basic collection items or wardrobe "staples," …


Threats To The Operational Use Of Situational Judgment Tests In The College Admission Process, Michael J. Cullen, Paul R. Sackett, Filip Lievens Jun 2006

Threats To The Operational Use Of Situational Judgment Tests In The College Admission Process, Michael J. Cullen, Paul R. Sackett, Filip Lievens

Research Collection Lee Kong Chian School Of Business

This study examined the coachability of two situational judgment tests, the College Student Questionnaire (CSQ) and the Situational Judgment Inventory (SJI), developed for consideration as selection instruments in the college admission process. Strategies for raising scores on each test were generated, and undergraduates were trained in the use of the strategies using a video-based training program. Results indicated that the CSQ was susceptible to coaching. In addition, the scoring format of the CSQ was found to be easily exploited, such that trainees could increase their scores by greater than 1 SD simply by avoiding extreme responses on that test. The …


A Spatial Analysis Of The Xiii Italian Legislature, Massimiliano Landi, Riccardo Pelizzo Jun 2006

A Spatial Analysis Of The Xiii Italian Legislature, Massimiliano Landi, Riccardo Pelizzo

Research Collection School Of Economics

We present a spatial map of the Italian House of Deputies during the XIII Legislature obtained by applying the Poole and Rosenthal methodology to roll call data. We estimate coordinates for almost all the 650 Deputies that were on the House’s floor at the time, and we aggregate them according to parties. We find that voting patters generate basically a two dimensional political space. The first dimension represents loyalty to either the ruling coalition or the opposing one. The second dimension is represented by the European Union. These findings are consistent with the exceptional case of the party Northern League, …


Non-Fundamental Expectations And Economic Fluctuations: Evidence From Professional Forecasts, Keen Meng Choy, Kenneth Leong, Anthony S. Tay Jun 2006

Non-Fundamental Expectations And Economic Fluctuations: Evidence From Professional Forecasts, Keen Meng Choy, Kenneth Leong, Anthony S. Tay

Research Collection School Of Economics

It is theoretically possible that non-fundamental idiosyncratic shocks to agents’ rational expectations are a source of economic fluctuations. Studies using data on consumer and investor sentiment suggest that this is indeed an important source of fluctuations. We present the results of a study that uses forecasts from professional forecasters to extract non-fundamental shocks to expectations. In contrast to previous studies, we show that non-fundamental expectations are not a significant source of output fluctuations, although such shocks contributed to inflation.


Multilearner Based Recursive Supervised Training, Kiruthika Ramanathan, Sheng Uei Guan, Laxmi R. Iyer Jun 2006

Multilearner Based Recursive Supervised Training, Kiruthika Ramanathan, Sheng Uei Guan, Laxmi R. Iyer

Research Collection School Of Computing and Information Systems

In supervised learning, most single solution neural networks such as constructive backpropagation give good results when used with some datasets but not with others. Others such as probabilistic neural networks (PNN) fit a curve to perfection but need to be manually tuned in the case of noisy data. Recursive percentage based hybrid pattern training (RPHP) overcomes this problem by recursively training subsets of the data, thereby using several neural networks. MultiLearner based recursive training (MLRT) is an extension of this approach, where a combination of existing and new learners are used and subsets are trained using the weak learner which …


On The Release Of Crls In Public Key Infrastructure, Chengyu Ma, Nan Hu, Yingjiu Li Jun 2006

On The Release Of Crls In Public Key Infrastructure, Chengyu Ma, Nan Hu, Yingjiu Li

Research Collection School Of Computing and Information Systems

Public key infrastructure provides a promising foundation for verifying the authenticity of communicating parties and transferring trust over the internet. The key issue in public key infrastructure is how to process certificate revocations. Previous research in this aspect has concentrated on the tradeoffs that can be made among different revocation options. No rigorous efforts have been made to understand the probability distribution of certificate revocation requests based on real empirical data. In this study, we first collect real empirical data from VeriSign and derive the probability function for certificate revocation requests. We then prove that a revocation system will become …


Independent Administrative Authorities And The Standard Of Judicial Review, Saskia Lavrijssen, Maartje De Visser Jun 2006

Independent Administrative Authorities And The Standard Of Judicial Review, Saskia Lavrijssen, Maartje De Visser

Research Collection Yong Pung How School Of Law

Recent developments in European competition and electronic communications law have led to an increased focus on, and importance of, independent administrative authorities. The competences available to these authorities are often wide-ranging, at times encompassing elements of all three of Montesquieu’s powers. These competences typically embody a considerable degree of discretion to allow the balancing of the – opposing – interests of various groups of stakeholders, such as consumers, competitors and manufacturers. This raises the question how the independence of administrative authorities can be counterbalanced by a certain degree of accountability for their actions. The aim of the present article is …


A Construct-Driven Investigation Of Gender Differences In A Leadership-Role Assessment Center, Neil Anderson, Filip Lievens, Karen Van Dam, Marise Born May 2006

A Construct-Driven Investigation Of Gender Differences In A Leadership-Role Assessment Center, Neil Anderson, Filip Lievens, Karen Van Dam, Marise Born

Research Collection Lee Kong Chian School Of Business

This study examined gender differences in a large-scale assessment center for officer entry in the British Army. Subgroup differences were investigated for a sample of 1,857 candidates: 1,594 men and 263 women. A construct-driven approach was chosen (a) by examining gender differences at the construct level, (b) by formulating a priori hypotheses about which constructs would be susceptible to gender effects, and (c) by using both effect size statistics and latent mean analyses to investigate gender differences in assessment center ratings. Results showed that female candidates were rated notably higher on constructs reflecting an interpersonally oriented leadership style (i.e., oral …


Osprey: A Practical Type System For Validating Dimensional Unit Correctness Of C Programs, Lingxiao Jiang, Zhendong Su May 2006

Osprey: A Practical Type System For Validating Dimensional Unit Correctness Of C Programs, Lingxiao Jiang, Zhendong Su

Research Collection School Of Computing and Information Systems

Misuse of measurement units is a common source of errors in scientific applications, but standard type systems do not prevent such errors. Dimensional analysis in physics can be used to manually detect such errors in physical equations. It is, however, not feasible to perform such manual analysis for programs computing physical equations because of code complexity. In this paper, we present a type system to automatically detect potential errors involving measurement units. It is constraint-based: we model units as types and flow of units as constraints. However, standard type checking algorithms are not powerful enough to handle units because of …


Gestalt-Based Feature Similarity Measure In Trademark Database, Hui Jiang, Chong-Wah Ngo, Hung-Khoon Tan May 2006

Gestalt-Based Feature Similarity Measure In Trademark Database, Hui Jiang, Chong-Wah Ngo, Hung-Khoon Tan

Research Collection School Of Computing and Information Systems

Motivated by the studies in Gestalt principle, this paper describes a novel approach on the adaptive selection of visual features for trademark retrieval. We consider five kinds of visual saliencies: symmetry, continuity, proximity, parallelism and closure property. The first saliency is based on Zernike moments, while the others are modeled by geometric elements extracted illusively as a whole from a trademark. Given a query trademark, we adaptively determine the features appropriate for retrieval by investigating its visual saliencies. We show that in most cases, either geometric or symmetric features can give us good enough accuracy. To measure the similarity of …


Discovering Causal Dependencies In Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang May 2006

Discovering Causal Dependencies In Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Mobile context-aware recommender systems face unique challenges in acquiring context. Resource limitations make minimizing context acquisition a practical need, while the uncertainty inherent to the mobile environment makes missing context values a major concern. This paper introduces a scalable mechanism based on Bayesian network learning in a tiered context model to overcome both of these challenges. Extensive experiments on a restaurant recommender system showed that our mechanism can accurately discover causal dependencies among context, thereby enabling the effective identification of the minimal set of important context for a specific user and task, as well as providing highly accurate recommendations even …


Do Accurate Earnings Forecasts Facilitate Superior Investment Recommendations?, Roger Loh, G. Mujtaba Mian May 2006

Do Accurate Earnings Forecasts Facilitate Superior Investment Recommendations?, Roger Loh, G. Mujtaba Mian

Research Collection Lee Kong Chian School Of Business

We find that analysts who issue more accurate earnings forecasts also issue more profitable stock recommendations. The average factor-adjusted return associated with the recommendations of analysts in the highest accuracy quintile exceeds the corresponding return for analysts in the lowest accuracy quintile by 1.27% per month. Our findings provide indirect empirical support for valuation models in the accounting and finance literatures (e.g., Ohlson, 1995) that emphasize the role of future earnings in predicting stock price movements. Our results also suggest that imperfectly efficient markets reward information gatherers, such as security analysts, for their costly activities in generating superior earnings forecasts.


Predicting Adverse Impact And Mean Criterion Performance In Multistage Selection, Wifried De Corte, Filip Lievens, Paul R. Sackett May 2006

Predicting Adverse Impact And Mean Criterion Performance In Multistage Selection, Wifried De Corte, Filip Lievens, Paul R. Sackett

Research Collection Lee Kong Chian School Of Business

The authors present an analytical method to assess the average criterion performance of the selected candidates as well as the adverse impact and the cost of general multistage selection decisions. The method extends previous work on the analytical estimation of multistage selection outcomes to the case in which the applicant pool is a mixture of applicant populations that differ in their average performance on the selection predictors. Next, the method was used to conduct 3 studies of important issues practitioners and researchers have with multistage selection processes. Finally, the authors indicate how the method can be integrated into a broader …


Loss Function Asymmetry And Forecast Optimality: Evidence From Individual Analysts' Forecasts, Stanimir Markov, Min Yen Tan May 2006

Loss Function Asymmetry And Forecast Optimality: Evidence From Individual Analysts' Forecasts, Stanimir Markov, Min Yen Tan

Research Collection School Of Accountancy

We examine the optimality of quarterly earning forecasts issued by individual analysts. When we conduct Ordinary Least Squares (OLS) and Least Absolute Deviations (LAD) analyses, which assume loss function symmetry, we reject the null of forecast optimality at 5% significance level more than 5% of the time. Relaxing the symmetry assumption reduces the frequency of rejections below 5%. We demonstrate that the cross-sectional variation in the asymmetry parameter of the loss function is related to analyst employment. Overall, our evidence is consistent with the joint hypothesis of asymmetric loss and forecast optimality rather than the alternative of symmetric loss and …


Beyond The Hedonic Treadmill: Revising The Adaptation Theory Of Well-Being, Ed Diener, Richard E. Lucas, Christie N. Scollon May 2006

Beyond The Hedonic Treadmill: Revising The Adaptation Theory Of Well-Being, Ed Diener, Richard E. Lucas, Christie N. Scollon

Research Collection School of Social Sciences

According to the hedonic treadmill model, good and bad events temporarily affect happiness, but people quickly adapt back to hedonic neutrality. The theory, which has gained widespread acceptance in recent years, implies that individual and societal efforts to increase happiness are doomed to failure. The recent empirical work outlined here indicates that 5 important revisions to the treadmill model are needed. First, individuals' set points are not hedonically neutral. Second, people have different set points, which are partly dependent on their temperaments. Third, a single person may have multiple happiness set points: Different components of well-being such as pleasant emotions, …


Analysing Survey Data With Incomplete Responses By Using A Method Based On Empirical Likelihood, Denis H. Y. Leung, Jing Qin May 2006

Analysing Survey Data With Incomplete Responses By Using A Method Based On Empirical Likelihood, Denis H. Y. Leung, Jing Qin

Research Collection School Of Economics

In many surveys, missing response is a common problem. As an example, Zahner, Jacobs, Freeman and Trainor analysed data from a study of child psychopathology in the State of Connecticut, USA. In that study, the response variable, psychopathology, was inferred from questions that were addressed to teachers of the children and was subject to a high level of missingness. However, the missing responses were supplemented by surrogate information that was provided by the parents and/or the primary care providers of the children. In such a situation, it is conceivable that the supplemental information can be used to recover some of …


Clip-Based Similarity Measure For Query-Dependent Clip Retrieval And Video Summarization, Yuxin Peng, Chong-Wah Ngo May 2006

Clip-Based Similarity Measure For Query-Dependent Clip Retrieval And Video Summarization, Yuxin Peng, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

This paper proposes a new approach and algorithm for the similarity measure of video clips. The similarity is mainly based on two bipartite graph matching algorithms: maximum matching (MM) and optimal matching (OM). MM is able to rapidly filter irrelevant video clips, while OM is capable of ranking the similarity of clips according to visual and granularity factors. We apply the similarity measure for two tasks: retrieval and summarization. In video retrieval, a hierarchical retrieval framework is constructed based on MM and OM. The validity of the framework is theoretically proved and empirically verified on a video database of 21 …


Winning Back The Cup For Distributed Pomdps: Planning Over Continuous Belief Spaces, Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo May 2006

Winning Back The Cup For Distributed Pomdps: Planning Over Continuous Belief Spaces, Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo

Research Collection School Of Computing and Information Systems

Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are evolving as a popular approach for modeling multiagent systems, and many different algorithms have been proposed to obtain locally or globally optimal policies. Unfortunately, most of these algorithms have either been explicitly designed or experimentally evaluated assuming knowledge of a starting belief point, an assumption that often does not hold in complex, uncertain domains. Instead, in such domains, it is important for agents to explicitly plan over continuous belief spaces. This paper provides a novel algorithm to explicitly compute finite horizon policies over continuous belief spaces, without restricting the space of …


Real-Time Non-Rigid Shape Recovery Via Active Appearance Models For Augmented Reality, Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu May 2006

Real-Time Non-Rigid Shape Recovery Via Active Appearance Models For Augmented Reality, Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu

Research Collection School Of Computing and Information Systems

One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challenging task to recover nonrigid shape and global pose in real-time AR applications. This paper proposes a novel two-stage scheme for online non-rigid shape recovery toward AR applications using Active Appearance Models (AAMs). First, we construct 3D shape models from AAMs offline, which do not involve processing of the 3D scan data. Based on the computed 3D shape models, we propose an efficient online algorithm to estimate both 3D pose and non-rigid shape parameters …


Evaluation Of Time-Varying Availability In Multi-Echelon Spare Parts Systems With Passivation, Hoong Chuin Lau, Huawei Song, Chuen Teck See, Siew Yen Cheng Apr 2006

Evaluation Of Time-Varying Availability In Multi-Echelon Spare Parts Systems With Passivation, Hoong Chuin Lau, Huawei Song, Chuen Teck See, Siew Yen Cheng

Research Collection School Of Computing and Information Systems

The popular models for repairable item inventory, both in the literature as well as practical applications, assume that the demands for items are independent of the number of working systems. However this assumption can introduce a serious underestimation of availability when the number of working systems is small, the failure rate is high or the repair time is long. In this paper, we study a multi-echelon repairable item inventory system under the phenomenon of passivation, i.e. serviceable items are passivated (“switched off”) upon system failure. This work is motivated by corrective maintenance of high-cost technical equipment in the miltary. We …


Enterprise Agility And The Enabling Role Of Information Technology, Eric Overby, Anandhi S. Bharadwaj, V. Sambamurthy Apr 2006

Enterprise Agility And The Enabling Role Of Information Technology, Eric Overby, Anandhi S. Bharadwaj, V. Sambamurthy

Research Collection School Of Computing and Information Systems

In turbulent environments, enterprise agility, that is, the ability of firms to sense environmental change and respond readily, is an important determinant of firm success. We define and deconstruct enterprise agility, delineate enterprise agility from similar concepts in the business research literature, explore the underlying capabilities that support enterprise agility, explicate the enabling role of information technology (IT) and digital options, and propose a method for measuring enterprise agility. The concepts in this paper are offered as foundational building blocks for the overall research program on enterprise agility and the enabling role of IT.


Anonymous Signature Schemes, Guomin Yang, Duncan S. Wong, Xiaotie Deng, Huaxiong Wang Apr 2006

Anonymous Signature Schemes, Guomin Yang, Duncan S. Wong, Xiaotie Deng, Huaxiong Wang

Research Collection School Of Computing and Information Systems

Digital signature is one of the most important primitives in public key cryptography. It provides authenticity, integrity and non-repudiation to many kinds of applications. On signer privacy however, it is generally unclear or suspicious of whether a signature scheme itself can guarantee the anonymity of the signer. In this paper, we give some affirmative answers to it. We formally define the signer anonymity for digital signature and propose some schemes of this type. We show that a signer anonymous signature scheme can be very useful by proposing a new anonymous key exchange protocol which allows a client Alice to establish …


A Practical Password-Based Two-Server Authentication And Key Exchange System, Yanjiang Yang, Robert H. Deng, Feng Bao Apr 2006

A Practical Password-Based Two-Server Authentication And Key Exchange System, Yanjiang Yang, Robert H. Deng, Feng Bao

Research Collection School Of Computing and Information Systems

Most password-based user authentication systems place total trust on the authentication server where cleartext passwords or easily derived password verification data are stored in a central database. Such systems are, thus, by no means resilient against offline dictionary attacks initiated at the server side. Compromise of the authentication server by either outsiders or insiders subjects all user passwords to exposure and may have serious legal and financial repercussions to an organization. Recently, several multiserver password systems were proposed to circumvent the single point of vulnerability inherent in the single-server architecture. However, these multiserver systems are difficult to deploy and operate …


Mobile Mediation: How Technology Is Driving The Globalization Of Adr, Nadja Alexander Apr 2006

Mobile Mediation: How Technology Is Driving The Globalization Of Adr, Nadja Alexander

Research Collection Yong Pung How School Of Law

Mediation has made it to Hollywood. The opening scene of the romantic comedy, The Wedding Crashers (2005), features a hilarious attempt at divorce mediation. The mediation scene does not demonstrate any mediation skills to be emulated, and the film itself, apart from the opening scene, has nothing to do with mediation. Nevertheless one cannot ignore the power of the borderless dream machine called Hollywood. The Hollywood film industry does more than export films and fantasies around the world; it is a driving force in the globalization of the themes with which it deals. When mediation becomes one of those themes …


Forecasting The Global Electronics Cycle With Leading Indicators: A Bayesian Var Approach, Hwee Kwan Chow, Keen Meng Choy Apr 2006

Forecasting The Global Electronics Cycle With Leading Indicators: A Bayesian Var Approach, Hwee Kwan Chow, Keen Meng Choy

Research Collection School Of Economics

Developments in the global electronics industry are typically monitored by tracking indicators that span a whole spectrum of activities in the sector. However, these indicators invariably give mixed signals at each point in time, thereby hampering attempts at prediction. In this paper, we propose a unified framework for forecasting the global electronics cycle by constructing a VAR model that captures the economic interactions between putative leading indicators representing expectations, orders, inventories and prices. The ability of the indicators to presage world semiconductor sales is first examined by Granger causality tests. Subsequently, an impulse response analysis confirms the leading qualities of …