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), …

A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis

Graduate Theses and Dissertations (2019 - present)

This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …

Co-Opted Boards And Anti-Takeover Provisions In Us Firms: Do Better Financial Outcomes And Dynamic Governance Matter?, Mohammad Dulal Miah, Rashedul Hasan, Sabur Mollah, Arun Upadhyay

Management Faculty Publications

This research examines the relationship between co-opted boards and firms' anti-takeover provisions (ATPs). Analyzing 5585 US firm-year observations for the period 2012–2022, the authors document a positive relationship between co-opted boards and ATPs. They further illustrate that the positive relationship is stronger in firms that exhibit subpar performance and compensate senior executives and directors more than the industry average. Furthermore, their research finds that good governance, board and executive gender diversity, gender equality, and board cultural diversity moderate the positive relationship between co-opted boards and ATPs. Our results remain robust across a battery of tests. The findings of this research …

Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans

UNL ORCA Interview Series

Fred Luthans was awarded the ORCA in 2008. He was born in Clinton, Iowa in 1939. He earned three degrees from the University of Iowa in Iowa City, located only a few miles from Clinton. His bachelor's was in mathematics in 1961, a Master’s of Business Administration in ‘62, PhD in Management and Psychology in 1965. After serving two years as a captain in the Army at West Point, where he taught psychology and leadership, he joined the University of Nebraska-Lincoln as an Associate Professor of Management. He's had a remarkable career, but I'll only mention three major distinctions. His …

Research On The Monitoring And Early-Warning Indicator System For Science And Technology Security Risks Based On System Vulnerability Theory, Juan Gong, Wei Zhang, Xiuni Zhang, Pu Liu, Juan Li

Journal of Scientific Information Research

[Purpose/significance] From the perspective of system vulnerability, this study aims to construct a dynamic monitoring and early-warning indicator system that systematically reflects science and technology security risks, so as to enhance the foresight and accuracy of risk perception and early warning. [Method/process] Introducing the system vulnerability theory and based on the "exposure-sensitivity-adaptive capacity" analytical framework, science and technology security risks are categorized into three dimensions: technological entity, actor behavior, and institutional constraints. Risk factors within each dimension were identified, leading to the selection of 9 secondary indicators. Innovatively, these indicators are classified into two types: continuous and threshold-triggered. A "one-vote …

Investigating The Factors Impacting Consumer Intentions To Purchase Energy-Efficient Appliances, Yusra Memon, Raheela Haque

Business Review

Energy-efficient appliances protect the environment through reduced energy usage, lowering pollution, and preserving natural resources. Hence, this research is aimed to examine the factors influencing Pakistani consumers' intentions to purchase energy-efficient appliances. This research adopts a quantitative approach and purposive sampling technique, and the data was collected from 350 respondents belonging to major metropolitan cities of Pakistan i.e. Karachi, Hyderabad, Lahore, Islamabad, while SPSS and AMOS were used for data analysis. The study supports a number of important relations suggested by the Value–Belief–Norm (VBN) theory in the framework of buying energy-efficient appliances (EEAs) in Pakistan. Biospheric values (BV) significantly forecast …

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 …

Bank Stability Under Global Risk Uncertainty: The Interplay Of Internal Characteristics And External Regulatory Environment, Erfan Rachmadi, Bowo Setiyono, Bimo Saktiawan, Muizzuddin Muizzuddin

Bulletin of Monetary Economics and Banking

This study examines the impact of global political and climate uncertainty on bank stability, utilizing panel data from 604 banks across 40 countries during the period 2011–2022. Through fixed effects and difference GMM methodologies, the analysis reveals that both geopolitical and climate risks adversely affect bank stability. Notably, tightening governance creates a ‘regulatory compliance paradox’ which leads to lower climate readiness and bank stability. We also identified that capital buffers matter in enhancing bank readiness to face geopolitical and climate uncertainty. However, efficiency plays a dual role. In times of geopolitical risk, it is necessary, but we also can’t achieve …

Offline Fashion Shopping Trends: Factors Influencing Millennial And Gen Z Purchase Decisions, Muhammad Alfikri, Ma'mun Sarma, Irni Rahmayani Johan

ASEAN Marketing Journal

Type of manuscript: Scientific Paper

Research Objective: This study aims to identify the characteristics and behaviour of millennials and generation Z in Medan City in purchasing fashion products, and analyse the influence of various factors such as information, lifestyle, word of mouth, technology, place, promotion, product, and price on their purchasing decisions, which include aspects of product choice, quantity, and time of purchase.

Design/methodology/approach: Data was collected online using Google Forms from 350 respondents. Respondents were millennials and generation Z who had shopped in person for at least the last 3 months, and the data was analysed using …

The Influence Of Religiosity On Financial Reporting Quality Across Countries: The Moderating Effect Of Legal Origin, Abdellatif Adem, Raida Chakroun

Economic and Business Review

This study examines the connection between religiosity and earnings quality, employing accrual-based and real earnings management as key indicators. By analyzing data from 22 countries from 2020 to 2023, the study identifies a negative correlation between religiosity and earnings manipulation, suggesting that managers in more religious environments are less prone to such practices. The robustness of these results is validated through multiple methods and alternative religiosity metrics. Furthermore, the study highlights the role of legal systems in shaping this relationship, demonstrating that managers in religious nations governed by civil law are more likely to engage in earnings management. This study …

Reassessing The Spillover Hierarchy: Evidence Of A Dual-Channel Mechanism Across India's Market Capitalization Spectrum, Aditya Joshi

Management Dynamics

Background: The transmission of financial shocks across market segments is a critical determinant of systemic risk and contagion. While volatility spillovers between large and mid-cap stocks are well-documented, the role of the micro-cap segment in the broader market ecosystem remains underexplored.

Objective: This study aims to provide a comprehensive analysis of shock transmission across the entire market capitalization spectrum of the Indian equity market, encompassing large-, mid-, small-, and micro-cap segments.

Materials and Methods: Employing a Vector Autoregression (VAR) framework, the dynamics have been investigated through Granger causality tests, impulse response functions, and forecast error variance decomposition. To ensure the …

Essays On Behavioral Aspects Of Retail Operations, Ceren Gultekin

Dissertations, Theses, and Capstone Projects

This dissertation combines a structured literature review on availability signaling in retail with two analytical chapters on inventory disclosure. The literature review incorporates the design and key insights of a systematic review and identifies directions for future research. Inventory disclosure is a form of availability signaling through which retailers strategically communicate stock levels to influence consumer buy-now-or-wait decisions. To mitigate strategic purchase deferrals, retailers may share low stock to create urgency or mask high stock to prevent consumers from relying on abundance. Despite its importance for profitability, academic findings and industry practices vary widely, ranging from consistent sharing to consistent …

Managing Multi-Channel Service Operations, Omer Berk Olmez

Dissertations, Theses, and Capstone Projects

In today’s evolving service landscape, the growth of virtual channels alongside traditional in-person services is changing how providers interact with customers and how services are delivered. This dissertation studies how service systems should be designed and managed when customers can choose between virtual and in-person channels through three connected perspectives: customer behavior, work design, and public policy. The first study examines booking-window design in a pooled multi-channel appointment system using appointment-level data from an undergraduate advising office, a queueing model, and a digital twin. It shows that booking windows shape the offered set and the flow of demand across channels, …

Key Determinants Of Diamond Value, Tobey Brill, Alexander Dobrovolskyi, Rayland Labayog

Undergraduate Economics Working Paper Series

This paper intends to examine the determinants of diamond pricing using a hedonic regression framework. Using the diamonds dataset from Wickham (2016), we analyze the four C’s, also known as carat weight, cut, color, and clarity. We also wanted to go deeper into this topic and look into the depth and table to see how it impacts diamond pricing. Results have displayed that carat weight greatly influences a diamond’s price, while characteristics such as clarity, color, and cut exert positive effects. Estimates were found to be statistically significant. Our findings confirm and reassure the idea that hedonic pricing accurately captures …

Social Determinants Of Low Educational Attainment, Isabelle Graham, Kevin Lieng, Aubriana Weisbach

Undergraduate Economics Working Paper Series

This paper examines how socioeconomic and demographic factors influence low educational attainment across U.S. cities. The analysis estimates both a linear regression model and a semi-log model to evaluate how poverty, unemployment, family structure, age composition, overcrowding, racial and ethnic minority share, broadband access, and housing cost burden affect the percentage of adults without a high school diploma. The results show that poverty, overcrowding, and minority share are the strongest predictors of low educational attainment, each exhibiting positive and highly significant effects. Overall, the findings highlight the role of social factors in shaping educational outcomes in high school.

The Effects Of Neighborhood And Interior Characteristics On Residential Sale Prices, Ella Sophie Hagman

Undergraduate Economics Working Paper Series

This study analyses to what extent certain neighborhood and interior characteristics affect residential sale prices, after accounting for standard property variables. This is important to examine in order to understand the function of the housing market, the sources of price differences, and whether residential values can be controlled by prioritizing specific desirable property features. The study is based on a dataset of approximately 330,000 observations from the Multiple Listing Service (MLS), as well as walkability data obtained from Walk Score. The data is analyzed in Stata, using three regression models with different combinations of explanatory variables. The results show that …

Mlb Speed Premium, Jacob A. Keithley, Chris Hampton

Undergraduate Economics Working Paper Series

This study analyzes if the 2023 rule changes affected the valuation for speed in the MLB labor market. By using a log-linear wage model and including an interaction term for stolen bases and the post-2023 indicator, we test to see if there is a speed premium in salaries. After accounting for yearly effects, the results present a statistically significant increase in the marginal value of stolen bases after the rule change shock. A placebo test was used with home runs to confirm the effects were specific to speed related metrics. The results suggest that the MLB market has and is …

Do Rural Areas Gender-Discriminate Wages More Than Metropolitan Areas?, Ali Gonzalez, Michael Montano, Brandon Sacks, Joseph Williams

Undergraduate Economics Working Paper Series

This study analyzes the gender wage gap in metropolitan versus rural areas using U.S. hourly wage data from the Bureau of Labor Statistics (BLS), for the period 2010-2025. The analysis uses regressions on a semi-log wage model and Blinder-Oaxaca decompositions to compare the gaps and separate the effects attributable to explained (endowment) differences from those attributable to unexplained (coefficient) differences. The semi-log wage model reveals a percentage wage decrease for females of approximately 17.4% in rural areas and 9.9% in metropolitan areas. The Blinder-Oaxaca decompositions further indicate that the unexplained (coefficient) component of the gap is substantially larger in rural …

Labor Market Responses To Ai: Measuring Wage Effects Across U.S. Occupations, Kaitlin Pham, Karla Rodriguez

Undergraduate Economics Working Paper Series

Artificial intelligence (AI) is rapidly changing economies around the world, with some experts predicting an impact greater than the Industrial Revolution. As AI becomes more common in daily life and business, questions have grown about how it might affect jobs, wages, and inequality. The rise of automation and highly capable AI models has made people wonder which occupations will benefit and which might be at risk. This study looks at how exposure to AI technologies affects wage trajectories in the United States. Using occupational-level data from O*NET and the U.S. Bureau of Labor Statistics, we build an AI exposure index …