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Management Sciences and Quantitative Methods Commons™
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Articles 1 - 30 of 58
Full-Text Articles in Management Sciences and Quantitative Methods
Covid-19 And Management Scholarship: Lessons For Conducting Impactful Research, Gerard George, Gokhan Ertug, Jonathan P. Doh, Johanna Mair, Ajnesh Prasad
Covid-19 And Management Scholarship: Lessons For Conducting Impactful Research, Gerard George, Gokhan Ertug, Jonathan P. Doh, Johanna Mair, Ajnesh Prasad
Research Collection Lee Kong Chian School Of Business
The COVID-19 pandemic provided an opportunity for management scholars to address large-scale and complex societal problems and strive for greater practical and policy impact. A brief overview of the most-cited work on COVID-19 reveals that, compared with their counterparts in other disciplines, leading management journals and professional associations lagged in providing a platform for high-impact research on COVID-19. To help management research play a more active role in responding to similar global challenges in the future, we propose an integrative framework that emphasizes a phenomenon’s impact, the conditions that the phenomenon creates at multiple levels, and the responses of actors …
Reproducibility In Management Science, MiloˇS Fišar, Ben Greiner, Christoph Huber, Elena Katok, Ali I. Ozkes, Hannah H. Chang
Reproducibility In Management Science, MiloˇS Fišar, Ben Greiner, Christoph Huber, Elena Katok, Ali I. Ozkes, Hannah H. Chang
Research Collection Lee Kong Chian School Of Business
With the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample …
Correcting For Range Restriction In Meta-Analysis: A Reply To Oh Et Al. (2023), Paul R. Sackett, Christopher M. Berry, Filip Lievens, Charlene Zhang
Correcting For Range Restriction In Meta-Analysis: A Reply To Oh Et Al. (2023), Paul R. Sackett, Christopher M. Berry, Filip Lievens, Charlene Zhang
Research Collection Lee Kong Chian School Of Business
Oh et al. (2023) question a number of choices made in our article (Sackett et al., 2022); here we respond. They interpret our article as recommending against correcting for range restriction in general in concurrent validation studies; yet, we emphasize that we endorse correction when one has access to the information needed to do so. Our focus was on making range restriction corrections when conducting meta-analyses, where it is common for primary studies to be silent as to the prior basis for selection of the employees later participating in the concurrent validation study. As such, the applicant pool information needed …
The Important Role Of System Dynamics Investigation On Business Model, Industry And Performance Management, Lina Gozali, Teuku Yuri M. Zagloel, Togar Mangihut Simatupang, Wahyudi Sutopo, Aldy Gunawan, Yun-Chia Liang, Bernardo Nugroho Yahya, Jose Arturo Garza-Reyes, Agustinus Purna Irawan, Yuliani Suseno
The Important Role Of System Dynamics Investigation On Business Model, Industry And Performance Management, Lina Gozali, Teuku Yuri M. Zagloel, Togar Mangihut Simatupang, Wahyudi Sutopo, Aldy Gunawan, Yun-Chia Liang, Bernardo Nugroho Yahya, Jose Arturo Garza-Reyes, Agustinus Purna Irawan, Yuliani Suseno
Research Collection School Of Computing and Information Systems
Purpose: This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in …
Measuring Impact To Make A Difference, Singapore Management University
Measuring Impact To Make A Difference, Singapore Management University
Perspectives@SMU
Impact-Weighted Accounts (IWAs) quantify impact and aims to help managers make better decisions
Scaled Pca: A New Approach To Dimension Reduction, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou
Scaled Pca: A New Approach To Dimension Reduction, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou
Research Collection Lee Kong Chian School Of Business
This paper proposes a novel supervised learning technique for forecasting: scaled principal component analysis (sPCA). The sPCA improves the traditional principal component analysis (PCA) by scaling each predictor with its predictive slope on the target to be forecasted. Unlike the PCA that maximizes the common variation of the predictors, the sPCA assigns more weight to those predictors with stronger forecasting power. In a general factor framework, we show that, under some appropriate conditions on data, the sPCA forecast beats the PCA forecast, and when these conditions break down, extensive simulations indicate that the sPCA still has a large chance to …
Smart Manufacturing And Its Implications For Singapore's Smes, Thomas Menkhoff, Surianarayanan Gopalakrishnan
Smart Manufacturing And Its Implications For Singapore's Smes, Thomas Menkhoff, Surianarayanan Gopalakrishnan
Research Collection Lee Kong Chian School Of Business
While Covid-19 and the climate catastrophe continue to make headlines, local small and medium-sized enterprises (SMEs) are quietly setting the gears of Smart Manufacturing in motion with a strategic focus on digitising and automating production processes powered by "Industry 4.0" (I4.0) ready business models. A shared view among several interviewees we talked to recently in the context of an ongoing study on the impact of I4.0 on the business models of local manufacturers is that Industrial Internet-of-Things (IIoT), machine learning, visual computing, automation and digital twining are deemed of great importance for the long-term competitiveness of Singapore's manufacturing ecosystem on …
A Review Study Of Functional Autoregressive Models With Application To Energy Forecasting, Ying Chen, Thorsten Koch, Kian Guan Lim, Xiaofei Xu, Nazgul Zakiyeva
A Review Study Of Functional Autoregressive Models With Application To Energy Forecasting, Ying Chen, Thorsten Koch, Kian Guan Lim, Xiaofei Xu, Nazgul Zakiyeva
Research Collection Lee Kong Chian School Of Business
In this data‐rich era, it is essential to develop advanced techniques to analyze and understand large amounts of data and extract the underlying information in a flexible way. We provide a review study on the state‐of‐the‐art statistical time series models for univariate and multivariate functional data with serial dependence. In particular, we review functional autoregressive (FAR) models and their variations under different scenarios. The models include the classic FAR model under stationarity; the FARX and pFAR model dealing with multiple exogenous functional variables and large‐scale mixed‐type exogenous variables; the vector FAR model and common functional principal component technique to handle …
Csisg Fieldwork Methodology Whitepaper, Institute Of Service Excellence, Smu
Csisg Fieldwork Methodology Whitepaper, Institute Of Service Excellence, Smu
Research Collection Institute of Service Excellence
Comparisons of Results and Respondent Demographic Profiles between Interviewer Administered Face-to-face Survey and Respondent Self-administered Online Survey for the Customer Satisfaction Index of Singapore (CSISG)
Machine Learning Using Instruments For Text Selection: Predicting Innovation Performance, Kian Guan Lim, Michelle S. J. Lim
Machine Learning Using Instruments For Text Selection: Predicting Innovation Performance, Kian Guan Lim, Michelle S. J. Lim
Research Collection Lee Kong Chian School Of Business
In machine learning we utilize the idea of employing instrumental variable such as patent records to train the texts. Patent records are highly correlated with R&D expenditures, but are not necessarily correlated with performance residuals not linked to R&D. Thus, using instrumental patent records to train word counts of selected texts to serve as a proxy for firm R&D expenditure, we show that the texts and associated word counts provide effective prediction of firm innovation performances such as firm market value and total sales growth.
From Actions To Paths To Patterning: Toward A Dynamic Theory Of Patterning In Routines, Kenneth T. Goh, Brian T. Pentland
From Actions To Paths To Patterning: Toward A Dynamic Theory Of Patterning In Routines, Kenneth T. Goh, Brian T. Pentland
Research Collection Lee Kong Chian School Of Business
This paper demonstrates a new way of seeing and theorizing about the dynamics of organizational routines through the concept of paths – time-ordered sequences of actions or events in performing work. Empirically and conceptually, paths provide the missing link between specific actions and patterns of action. When routines are represented as a narrative network, tracing the formation and dissolution of action paths can generate new insights about the dynamic patterning of actions in routine performances. We traced action paths using longitudinal field data from a videogame development project and found that action patterns change dramatically over time based on the …
Uncertainty Can Be Fun And Motivating!, Singapore Management University
Uncertainty Can Be Fun And Motivating!, Singapore Management University
Perspectives@SMU
Research reveals how not knowing the reward can motivate us to repeat our behaviour
Angry Birds Fly High Again With Data Analytics, Singapore Management University
Angry Birds Fly High Again With Data Analytics, Singapore Management University
Perspectives@SMU
User feedback has transformed Rovio’s culture and game design
Balancing Machine And Human Skill Sets, Richard Raymond Smith
Balancing Machine And Human Skill Sets, Richard Raymond Smith
Research Collection Lee Kong Chian School Of Business
How do we navigate in this fourth industrial revolution that blurs the lines between the physical and digital worlds?
The Power Of Sameness, Singapore Management University
The Power Of Sameness, Singapore Management University
Perspectives@SMU
Whether it is our name, hometown or personal characteristic, our similarities could alter our reactions to service failures
To Give Or Not To Give? Choosing Chance Under Moral Conflict, Stephanie C. Lin, Taly Reich
To Give Or Not To Give? Choosing Chance Under Moral Conflict, Stephanie C. Lin, Taly Reich
Research Collection Lee Kong Chian School Of Business
Although prior research suggests that people should not prefer random chance to determine their outcomes, we propose that in the context of prosocial requests, a contingent of people prefer to rely on chance. We argue that this is because they are conflicted between losing resources (e.g., time, money) and losing moral selfregard. Across five studies, in both choices with binary outcomes (whether to volunteer) and ranges of outcomes (how much to donate), some people preferred to be randomly assigned an outcome rather than to make their own choices. This did not negatively affect prosocial behavior in binary choices and improved …
Projecting Lower Competence To Maintain Moral Warmth In The Avoidance Of Prosocial Requests, Peggy J. Liu, Stephanie C. Lin
Projecting Lower Competence To Maintain Moral Warmth In The Avoidance Of Prosocial Requests, Peggy J. Liu, Stephanie C. Lin
Research Collection Lee Kong Chian School Of Business
When faced with prosocial requests, consumers face a difficult decision between taking on the request’s burden or appearing unwarm (unkind, uncaring). We propose that the desire to refuse such requests while protecting a morally warm image leads consumers to under-represent their competence. Although consumers care strongly about being viewed as competent, five studies showed that they downplayed their competence to sidestep a prosocial request. This effect occurred across both self-reported and behavioral displays of competence. Further, the downplaying competence effect only occurred when facing an undesirable prosocial request, not a similarly undesirable proself request. The final studies showed that people …
What Makes A Competent Change Manager? The Importance Of Developing The “Right” Attitudes, Siu Loon Hoe
What Makes A Competent Change Manager? The Importance Of Developing The “Right” Attitudes, Siu Loon Hoe
Research Collection School Of Computing and Information Systems
PurposeThe purpose of this paper is to highlight the importance of developing the “right” attitudes toward change.Design/methodology/approachThe viewpoint is based on more than 20 years of experience gained and insights developed through consulting projects and training conducted for numerous multinational companies and public sector organizations across Asia. An overview of international and national competency frameworks that include change management from Australia, United Kingdom, and Singapore is also presented.FindingsA competent change manager requires a combination of knowledge, skills, and attitude to effect change. While knowledge and skills have traditionally been emphasized, there is a need to develop the “right” attitude as …
The Predictive Audit: Why Prevention Is Better Than A Cure, Clarence Goh
The Predictive Audit: Why Prevention Is Better Than A Cure, Clarence Goh
Research Collection School Of Accountancy
Foreseeing potential problems can save your business from long-term headaches.
The Predictive Audit: Why Prevention Is Better Than A Cure, Clarence Goh
The Predictive Audit: Why Prevention Is Better Than A Cure, Clarence Goh
Research Collection School Of Accountancy
Foreseeing potential problems can save your business from long-term headaches.
Revisiting The Small-World Phenomenon: Efficiency Variation And Classification Of Small-World Networks, Tore Opsahl, Antoine Vernet, Tufool Alnuaimi, Gerard George
Revisiting The Small-World Phenomenon: Efficiency Variation And Classification Of Small-World Networks, Tore Opsahl, Antoine Vernet, Tufool Alnuaimi, Gerard George
Research Collection Lee Kong Chian School Of Business
Research has explored how embeddedness in small-world networks influences individual and firm outcomes. We show that there remains significant heterogeneity among networks classified as small-world networks. We develop measures of the efficiency of a network, which allow us to refine predictions associated with small-world networks. A network is classified as a small-world network if it exhibits a distance between nodes that is comparable to the distance found in random networks of similar sizeswith ties randomly allocated among nodesin addition to containing dense clusters. To assess how efficient a network is, there are two questions worth asking: (a) What is a …
What Makes Consumers Use Their Loyalty Points?, Singapore Management University
What Makes Consumers Use Their Loyalty Points?, Singapore Management University
Perspectives@SMU
Companies are utilising loyalty programs more often than ever to retain customers and boost sales. But not all of them are successful. What makes people spend their points and stay loyal to a program? A research by the Chinese University of Hong Kong (CUHK) Business School has the answer
Big Data And Data Science Methods For Management Research: From The Editors, Gerard George, Ernst C. Osinga, Dovev Lavie, Brent A. Scott
Big Data And Data Science Methods For Management Research: From The Editors, Gerard George, Ernst C. Osinga, Dovev Lavie, Brent A. Scott
Research Collection Lee Kong Chian School Of Business
The recent advent of remote sensing, mobile technologies, novel transaction systems, and high performance computing offers opportunities to understand trends, behaviors, and actions in a manner that has not been previously possible. Researchers can thus leverage 'big data' that are generated from a plurality of sources including mobile transactions, wearable technologies, social media, ambient networks, and business transactions. An earlier AMJ editorial explored the potential implications for data science in management research and highlighted questions for management scholarship, and the attendant challenges of data sharing and privacy (George, Haas & Pentland, 2014). This nascent field is evolving rapidly and at …
The Pipeline Project: Pre-Publication Independent Replications Of A Single Laboratory's Research Pipeline, Martin Schweinsberg, Nikhil Madan, Michelangelo Vianello, S.Amy Sommer, Jennifer Jordan, Et Al, Michael Schaerer
The Pipeline Project: Pre-Publication Independent Replications Of A Single Laboratory's Research Pipeline, Martin Schweinsberg, Nikhil Madan, Michelangelo Vianello, S.Amy Sommer, Jennifer Jordan, Et Al, Michael Schaerer
Research Collection Lee Kong Chian School Of Business
This crowdsourced project introduces a collaborative approach to improving the reproducibility of scientific research, in which findings are replicated in qualified independent laboratories before (rather than after) they are published. Our goal is to establish a non-adversarial replication process with highly informative final results. To illustrate the Pre-Publication Independent Replication (PPIR) approach, 25 research groups conducted replications of all ten moral judgment effects which the last author and his collaborators had “in the pipeline” as of August 2014. Six findings replicated according to all replication criteria, one finding replicated but with a significantly smaller effect size than the original, one …
Portfolio Manager Compensation And Mutual Fund Performance, Linlin Ma, Yuehua Tang, Juan-Pedro Gomez
Portfolio Manager Compensation And Mutual Fund Performance, Linlin Ma, Yuehua Tang, Juan-Pedro Gomez
Research Collection Lee Kong Chian School Of Business
We use a novel dataset to study the relation between individual portfolio manager compensation and mutual fund performance. Managers with explicit performance-based pay exhibit superior subsequent fund performance, especially when investment advisors link pay to performance over a longer time period. In contrast, alternative compensation arrangements, such as fixed salary, assets-based pay, or advisor-profits-based pay are not associated with superior performance. Our tests further show that the positive relation between performance-based contracts and fund performance is not driven by the selection of talented managers proxied by education background. Lastly, managers with performance-based pay engage less in risk-shifting activities.
New Approach To Density Estimation And Application To Value-At-Risk, Kian Guan Lim, Hao Cheng, Nelson K. L. Yap
New Approach To Density Estimation And Application To Value-At-Risk, Kian Guan Lim, Hao Cheng, Nelson K. L. Yap
Research Collection Lee Kong Chian School Of Business
The key contribution in this paper is to provide a new approach in estimating the physical distribution of the underlying asset return by using a quadratic Radon-Nikodym derivative function. The latter function transforms a fitted Variance Gamma risk-neutral distribution that is obtained from traded option prices. The generality of the VG distribution helps to avoid unnecessary mis-specification bias. The estimated empirical distribution is then used to find the risk measure of VaR. We show that possible underestimation of VaR risk using existing methods is largely not due to VaR itself but perhaps due to mis-specification errors which we minimize in …
Estimating The Reproducibility Of Psychological Science, Alexander A. Aarts, Et Al, Stephanie C. Lin
Estimating The Reproducibility Of Psychological Science, Alexander A. Aarts, Et Al, Stephanie C. Lin
Research Collection Lee Kong Chian School Of Business
Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if …
Emerging Markets And The End Of Qe, Singapore Management University
Emerging Markets And The End Of Qe, Singapore Management University
Perspectives@SMU
Quantitative easing made it easier for emerging economies to delay necessary reforms, but policymakers are better able to manage crises than ever before
Bitcoins, Block Chains, And Mining Pools, Singapore Management University
Bitcoins, Block Chains, And Mining Pools, Singapore Management University
Perspectives@SMU
Bitcoins can help facilitate online commerce, but investors – and speculators – should understand how the cryptocurrency works
Heuristic Rules In The Field: Evidence From Royalty Shares In Scientific Teams, Reddi Kotha, Dan Lovallo
Heuristic Rules In The Field: Evidence From Royalty Shares In Scientific Teams, Reddi Kotha, Dan Lovallo
Research Collection Lee Kong Chian School of Business
Using field data from a large U.S. technology transfer organization with over $50 million in annual revenue, we investigate four related issues regarding the sharing of licensing revenues by academic teams. First, we find that the main empirical regularity is a heuristic-based allocation of shares 1/n, equal shares to all unique inventors in a single invention team, and the use of the partition dependence (PD) rule, whereby inventors receive equal share within an invention and shares across inventions included in the same contract are equal. Second, when we examine the performance consequences of such equal sharing, we find it is …