Management Sciences and Quantitative Methods Commons^™

Heroclix®: A Multiplayer Chess Game For Teaching The Fundamentals Of Human Capital Management, Chin Heng Low, Jiunwen Wang, Paul Lim, Bernie Koh

Research Collection Lee Kong Chian School Of Business

This article describes the adaptation and use of the HeroClix® board game to teach critical real-world principles for effective human capital management within teams. In a HeroClix® game, players pit their team of miniature figurines against other players’ miniatures in combat. This is akin to organizations striving in the business environment today, with well-structured human capital within their teams as a key competitive advantage. In this article, we suggest how the game can be applied in the classroom for undergraduate students to experience, reflect on, and learn more about the prerequisite considerations in proficient people management, the dynamic nature of …

Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan

Research Collection School Of Computing and Information Systems

We have described the basic orienteering problem (OP) in Chap. 2, as one known variant of the single vehicle routing problems with profits (VRPP). In this chapter, we introduce the best-known variants of the OP. The first one is the team orienteering problem (TOP). In the TOP multiple routes can be composed to visit a subset of customers. In the context of the game of orienteering, the TOP corresponds to several players of the same team, each collecting profits in parallel, during the same time span. Another well-known variant of the basic OP is the OP with time windows (OPTW), …

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

On Modeling Of Multiplicative Bias Factor For Multivariate Degradation Data, Bingxin Yan, Qiuzhuang Sun, Zhisheng Ye

Research Collection College of Integrative Studies

Multivariate degradation data are increasingly common due to advances in sensor technology. They provide rich information for reliability analysis and remaining useful life (RUL) prediction. The multivariate measurement typically contains actual degradation of multiple performance characteristics (PCs) and measurement errors. The multiple PCs often have different physical meanings with different orders of magnitude, making the associated measurement errors vary in the orders of magnitude as well. It is highly desirable to have a parsimonious model accounting for the possible correlation in degradation measurements, so that more flexibility can be reserved for modeling the actual multivariate degradation. This study proposes a …

Nonstandard Errors, Albert J. Menkvelt, Anna Dreber, Et Al., Shihao Yu, Bart Zhou Yueshen, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

Nonstandard Errors, Albert J. Menkeld, Shihao Yu, Et Al.

Research Collection Lee Kong Chian School Of Business

Duplicate record, see https://ink.library.smu.edu.sg/lkcsb_research/7633/. In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty - nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by …

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 …

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 …

From The Editors: Mobilizing New Sources Of Data: Opportunities And Recommendations, Denis A. Gregoire, Anne L. J. Ter Wal, Laura M. Little, Sekou Bermiss, Reddi Kotha, Marc Gruber

Research Collection Lee Kong Chian School Of Business

In June 2008, the U.S.-based website Glassdoor.com began posting anonymous company reviews and salary data from current and former employees of various organizations. Doing so not only brought to the world information that had hitherto been restricted to private circles, it spontaneously prompted some organizations to alter their workplace practices (Dineen & Allen, 2016; Dube & Zhu, 2021). At the same time, Glassdoor’s very activities gave rise to a completely new source of data for exploring a wealth of management and organizational phenomena (e.g., Bermiss & McDonald, 2018; Rhee, 2024). As this example illustrates, new data sources can not only …

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

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 …

Humanized Management, Fairness Perception And Health Of Merchant Ecosystem: Driving Mechanisms Of The Digital Age, Zeyong Zhuang

Dissertations and Theses Collection (Open Access)

In the era of digital transformation, the competition among individual enterprises has evolved into competition of business ecosystems, and the merchants in shopping malls have evolved from atomistic competition to ecological competition. Therefore, merchants must ensure the health of business ecosystems to establish competitive advantages. This study uses the survey data of merchants in five shopping malls in Guangzhou to empirically test the mechanism of the effect of humanized management on the health of business ecosystems in the context of digital transformation.

The empirical results show that: 1. Humanized management of shopping malls helps to build trust and loyalty, promote …

Why And How Leaders Differentiate?, Srishti Banerjee

Dissertations and Theses Collection (Open Access)

A key tenet of Leader-Member Exchange (LMX) Theory is that leaders treat followers differently, referred to as leader-member exchange differentiation (LMXD) (Yu et al., 2018). When leaders treat followers differently, they develop a varying quality of relationships within the team referred to as LMX quality (LMXQ). LMXQ has received the vast majority of research with findings being largely consistent that higher quality relationships benefit followers (Yu et al., 2018). In contrast, surprisingly, much less research has focused on how this actual differentiation (LMXD) impacts employee reactions and there are no conclusive findings regarding its effects (Bauer & Erdogan, 2015; Chen …

Exploring Diversity And Depth Of Knowledge, Metacognition, And Individual Ambidexterity, Deddi Tedjakumara

Dissertations and Theses Collection (Open Access)

Recent data show that the average lifespan of a company listed in the Standard and Poor's 500 (S&P 500) Index has declined from 32 years in 1965 to 21 years in 2020 (Clark, 2021), and it is estimated that 75% of the companies listed in the S&P 500 today will disappear from the list by 2027 (Hillenbrand, 2019). Organizational theory holds that for a company to be sustainable, it must strike a balance between exploring new possibilities and exploiting old certainties (March, 1991). The ability to manage the tension between exploration and exploitation is important at both organizational and individual …

Do Chief Financial Officers Need To Be Qualified Accountants? A Study Of Whether And When Accounting Qualification May Not Be Necessary For Cfos., Vincent Boon Seng Lim

Dissertations and Theses Collection (Open Access)

Many empirical research studies suggest that Chief Financial Officers (CFOs) with accounting qualifications improve company performance in various ways such as through better financial reporting accuracy (Aier et al., 2005), internal control (Li et al., 2010), corporate governance (Sun et al., 2015) and tax efficiency (Chen et al., 2020). This suggests that CFOs should be qualified in accounting. However, this study found that this may not always be the case.

By looking at the top listed companies in Singapore, it was found that a significant percentage of CFOs are not accounting qualified, which indicates a significant gap. The study conducted …

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

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

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

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

Research Collection Institute of Service Excellence (2007-2024)

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)

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 …

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.

An Examination Of The Effectiveness Of A Training Programme To Improve Decision Making In Insurance Risk Underwriting, Gavin Raj Maistry

Dissertations and Theses Collection (Open Access)

This dissertation studies the effectiveness of a training programme to improve decision making in insurance risk underwriting. A key component of insurance risk underwriting decisions is qualitative judgement, in addition to quantitative analytical modelling. In the training of insurance underwriters, great strides have been made on the analytical side. However, the training of judgement, both intuitive and deliberate, has largely been ignored. The aim of this research proposal is to design and test a training programme to improve judgement in insurance underwriting.

Our research extends the script training concept, used extensively in medical training, to the domain of insurance underwriting …

Bridging The Data Divide Between Practitioners And Academics: Approaches To Collaborating Better To Leverage Each Other's Resources, Sabine Benoit, Sonja Klose, Jochen Wirtz, Tor Wallin Andreassen, Timothy L. Keininghas

Research Collection Lee Kong Chian School Of Business

Purpose: Organizations (data gatherers in the context) drown in data while at the same time seeking managerially relevant insights. Academics (data hunters) have to deal with decreasing respondent participation and escalating costs of data collection while at the same time seeking to increase the managerial relevance of their research. The purpose of this paper is to provide a framework on how, managers and academics can collaborate better to leverage each other's resources. Design/methodology/approach: This research synthesizes the academic and the managerial literature on the realities and priorities of practitioners and academics with regard to data. Based on the literature, reflections …

Successful Venture Building: What Matters! An Empirical Examination Of Effective Incubation Practices, Patrick Thng

Dissertations and Theses Collection (Open Access)

Incubator models have evolved since the first known US incubator in 1959. From the first generation of a facilities-focused incubator model in the 1960s to the fourth generation of emerging models, commonly referred to as, the “Accelerator” model and the “Venture Builder” model.
Since 2006, there has been a significant increase in the number of venture builders and accelerators. Yet very little is known about a) their performance and the antecedents; b) the key differences between venture builders and accelerators; c) the factors and practices that characterise highly successful venture builders and d) their (venture builders)comparative advantages or disadvantages compared …

Optimal Control And Cooperative Game Theory Based Analysis Of A By-Product Synergy System, Mahmut Parlar, Sharafali Moosa, Mark Goh

Research Collection Lee Kong Chian School Of Business

In this paper, we propose a framework to analyse the setting up of an industrial symbiosis system. The establishment of such a system entails implementation of expensive technologies by the companies so as to convert wastes into energy and other mutually beneficial materials. Much of the literature on modeling industrial symbiosis do not consider this important aspect of high conversion costs. Further, such a cooperative effort will be sustainable only if the high cost of implementing technologies is compensated by sharing of the benefits in a fair and satisfactory manner. Towards this end, first at a general level, we addres …

New Perspectives On M&A Research, Zhefei Li

Dissertations and Theses Collection (Open Access)

Corporate acquisition is among the most important strategic tools wielded by managers to achieve competitive advantage. Acquisition may create strategic values for the acquirer by gaining market power through industry consolidation, diversifying into rapidly growing industries, entering into emerging markets, and most importantly by combining unique valuable resources from acquirer and target. Despite the many appealing aspects of the motive for acquisition, however, meta-analytical studies suggest that though highly beneficial for the target firm’s shareholders, acquisition on average destroys acquirer shareholder values. to understand the determinants of acquisition performance success, it becomes imperative to study the antecedents as well as …

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

Perspectives@SMU

User feedback has transformed Rovio’s culture and game design

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?