Digital Commons Network^™

College Professor Perceptions Of Effective Professor Characteristics: A Cross-Cultural Study, Khaled A. Alshare, Hana Y. Al-Sholi, Ola R. Shadid, Murad Moqbel

Information Systems Faculty Publications

This study explores college professor perceptions of effective professor Characteristics through the lens of Media Naturalness Theory (MNT). A survey questionnaire was administered to samples of college professors in two countries (USA and Qatar) regarding their perceptions of effective professor’s characteristics. Demographic variables such as gender, age, discipline, rank, and teaching style were included in the questionnaire. The results of nonparametric analysis revealed significant differences in professors’ responses between the two samples. However, these differences were in the level of their ratings (e.g. very important versus important). The top five-rated characteristics were similar in both countries for each component of …

Analyzing Global Utilization And Missed Opportunities In Debt-For-Nature Swaps With Generative Ai, Nataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, Christoph Nedopil

Sim Kee Boon Institute for Financial Economics

We deploy a prompt-augmented GPT-4 model to distill comprehensive datasets on the global application of debt-for-nature swaps (DNS), a pivotal financial tool for environmental conservation. Our analysis includes 195 nations and identifies 21 countries that have not yet used DNS before as prime candidates for DNS. A significant proportion demonstrates consistent commitments to conservation finance (0.86 accuracy as compared to historical swaps records). Conversely, 35 countries previously active in DNS before 2010 have since been identified as unsuitable. Notably, Argentina, grappling with soaring inflation and a substantial sovereign debt crisis, and Poland, which has achieved economic stability and gained access …

Fixed Income Fund Report, February 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

The Charge Forward: An Assessment Of Electric Vehicle Charging Infrastructure In New York City, Christopher S. Cali

Dissertations, Theses, and Capstone Projects

The federal and local New York City (NYC) governments are actively promoting Electric Vehicles (EVs). This capstone project assesses the state of EV charging infrastructure in NYC and its readiness for EV growth. NYC faces unique challenges due to its dense population and limited space for infrastructure. There's a significant disparity between the number of gas pumps and fast EV chargers in the city, with only 170 Level 3/DC (Direct Current) Fast Chargers publicly available. These Level 3 chargers are most important because they can charge an EV in 15 minutes; Level 2 chargers, also considered in the analysis, take …

From Canonical Law To Offshore Finance: Confessing To Priests And Bankers In Luxembourg, Samuel Weeks

College of Humanities and Sciences Faculty Papers

In this article, I address two recurring tendencies that I heard during a recent period of research on banking secrecy in Luxembourg. First, my banker interviewees frequently mentioned personal transgressions for why many of their clients hide assets “offshore.” The wrongdoings my interlocutors cited included not only clients’ tax evasion, bankruptcy, and avoidance of liability – but also divorce, adultery, and the existence of out-of-wedlock children. Second, with a similar frequency, my interviewees drew parallels between the secrecy laws covering bankers and those afforded to other professionals in the country. Article 458 of Luxembourg’s Penal Code, dating from the nineteenth …

Equity Fund Monthly Report, February 2024, Archway Investment Fund

Archway Investment Fund

No abstract provided.

Proceedings Of The International Conference On Culture, Tourism, And Hospitality: Volume 1, Cihan Cobanoglu, Hanqin Qiu, Jiaying Lyu, James H. W. Shen

University of South Florida (USF) M3 Publishing

This is the first volume of the International Conference on Culture, Tourism, and Hospitality Proceedings Series.

Impacts Of The E-Centralized Procurement Platforms On Business Operations - Based On A Study Of Hebei Construction Group, Baozhong Li

Dissertations and Theses Collection (Open Access)

Thanks to the rapid development of Internet technology, enterprises make an important innovation and they launch e-centralized procurement platforms in procurement activities. Taking Hebei Construction Group for a case study, this paper aims to explore the impact of E-Centralized Procurement Platforms on business operations, and comprehensively evaluates the impact of E-Centralized Procurement Platforms on enterprises’ performance by means of theoretical review, case study, empirical research, and questionnaire.

Chapter 1 firstly presents the problems of this paper and introduces the background and significance of the selected topic. Hebei Construction Group is primarily engaged in the construction industry, so this paper is …

Diverse Hedge Funds, Yan Lu, Narayan Y. Naik, Melvyn Teo

Research Collection Lee Kong Chian School Of Business

Hedge fund teams with heterogeneous educational backgrounds, academic specializations, work experiences, genders, and races, outperform homogeneous teams after adjusting for risk and fund characteristics. An event study of manager team transitions, instrumental variable regressions, and an analysis of managers who simultaneously operate solo- and team-managed funds address endogeneity concerns. Diverse teams deliver superior returns by arbitraging more stock anomalies, avoiding behavioral biases, and minimizing downside risks. Moreover, diversity allows hedge funds to circumvent capacity constraints and generate persistent performance. Our results suggest that diversity adds value in asset management. Authors have furnished an Internet Appendix, which is available on the …

Attentional Engagement And Strategic Responses To Discontinuous Environmental Change: Evidence From The Us Banking Industry, Daniel Z. Mack, Theresa S. Cho, Andrew C. Yi

Research Collection Lee Kong Chian School Of Business

While prior research has established a link between the attention an organization allocates to the external environment and its adaptations to environmental change, the nature of the cognitive processes that underlie this link remains underexamined. In this study, we explore how patterns of attentional engagement—that is, the extent to which attention allocation is focused and/or consistent over time—influence the organization’s formulation of strategic responses to discontinuous change. We advance a situated perspective on attentional engagement by suggesting how the type of learning and cognitive processes are situated in different attentional-engagement structures, and can, in turn, lead to heterogeneous strategic responses …

Envy Influences Interpersonal Dynamics And Team Performance: Roles Of Gender Congruence And Collective Team Identification, Kenneth Tai, Sejin Keem, Ki Young Lee, Eugene Kim

Research Collection Lee Kong Chian School Of Business

Our research extends past envy research by considering how envy and gender congruence shape interpersonal dynamics at the dyadic level and their bottom-up effects for team performance. Integrating social comparison theory and social identity theory, we examine when and how dyadic level envy influences team performance. Using time-lagged data from 428 dyads of 161 employees in 51 teams, our results show that envious employees are likely to engage in interpersonal deviance directed toward envied team members and that envied employees are likely to seek advice from envious team members. Gender congruence further influences these relationships, with different patterns for males …

Legal Risk And Insider Trading, Marcin Kacperczyk, Emiliano Sebastian Pagnotta

Research Collection Lee Kong Chian School Of Business

Do illegal insiders internalize legal risk? We address this question with hand-collected data from 530 SEC (the U.S. Securities and Exchange Commission) investigations. Using two plausibly exogenous shocks to expected penalties, we show that insiders trade less aggressively and earlier and concentrate on tips of greater value when facing a higher risk. The results match the predictions of a model where an insider internalizes the impact of trades on prices and the likelihood of prosecution and anticipates penalties in proportion to trade profits. Our findings lend support to the effectiveness of U.S. regulations' deterrence and the long-standing hypothesis that insider …

Association Between Hba1c And Deep Sternal Wound Infection After Coronary Artery Bypass: A Systematic Review And Meta-Analysis, Wenyu Zhao, Jingui Xie, Zhichao Zheng, Han Zhou, Oon Cheong Ooi, Haidong Luo

Research Collection Lee Kong Chian School Of Business

Background: Deep sternal wound infection (DSWI) constitutes a serious complication after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the dose-response relationship between glycated hemoglobin (HbA1c) level and the risk of DSWI after CABG. Methods: PubMed, Scopus, and Cochrane Library databases were searched to identify potentially relevant articles. According to rigorous inclusion and exclusion criteria, fourteen studies including 15,570 patients were finally enrolled in our meta-analysis. Odds ratio (OR) with 95% confidence intervals (CIs) was used as the summary statistic. The robust-error meta-regression model was used to synthesize the dose-response relationship. Results: Our meta-analysis …

Examining Sustainable Overseas Investment Information-Sharing Model For Automobile Enterprises: A Multi-Modal Weight Network Approach, Yuan Cheng, Xiaofang Chen, Changbo Lin, Sheqing Ma, Jie Feng

Research Collection School Of Accountancy

In an era of globalization, automotive companies are increasingly looking to make overseas investments to expand their production capacity and explore foreign markets. However, the outcomes of such investments are often influenced by a myriad of factors, including policy changes, social dynamics, and market conditions. To address the need for a comprehensive overseas investment information-sharing model, this research proposes an innovative approach based on a multi-modal weight network. This model aims to provide users with a global perspective on overseas investment opportunities, encompassing policy insights, and market dynamics. It integrates data from various sources, offering multi-dimensional information on investment regions, …

Essays On Real Estate, Flood Risk, And Political Sentiment, John P. Orellana

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters that investigate how climate change, flood risk, and political sentiment influence outcomes in housing markets.

Chapter 1: This chapter offers a brief review and discussion of several recent and seminal papers at the intersection of flood risk, climate change, and real estate, as well as a critique on some of the literature on the effects of sea-level rise on housing outcomes.

Chapter 2: FEMA flood maps serve two functions: they signal risk to homeowners and mandate insurance take-up. How these information and risk transfer mechanisms affect homeowner relocation decisions remains unknown. Combining real estate …

Do Female Ceos Promote Behavioral Consistency In Firm’S Nonmarket Strategy: The Moderating Effect Of Board Gender Diversity, Marwan A. Al-Shammari, Hazel Dadanlar, Soumendra Nath Banerjee, Harold Doty

Management Faculty Publications and Presentations

This study explores whether and under what conditions women CEOs engage in behavioral consistency when promoting CSR practices. Specifically, drawing from the social role and behavioral consistency theories, we argue that women’s CEO presence will positively affect CSR consistency. We use two categories to capture the firm’s consistency in CSR practices: inter-domain and temporal consistency. Inter-domain consistency indicates reliability in a firm’s conduct across its various stakeholder groups. Temporal consistency refers to the consistency of a firm’s behavior toward its stakeholders over time. Using 167 unique S&P 500 firms over the 2005-2013 sample period, we found that women CEOs maintain …

Issue 5, Fall 2024, Janell Gamboa

Thrive

No abstract provided.

Accounting Function Hierarchies And Financial Reporting Quality, Shuo Li

Dissertations and Theses Collection (Open Access)

I examine how the hierarchical structure of a firm’s accounting function influences its financial reporting quality. Using information from accounting employees’ online resumes to infer the hierarchical layers in a firm’s accounting function, I find that a firm with a more hierarchical accounting function exhibits higher financial reporting quality. Further analysis shows a hierarchical accounting function is associated with a reduced likelihood of internal control weaknesses, in particular internal control weaknesses in the segregation of duties and accounting personnel matters. These findings suggest that a hierarchical accounting function enhances financial reporting quality through improving internal control. These effects are more …

J Mich Dent Assoc February 2024

The Journal of the Michigan Dental Association

Every month, The Journal of the Michigan Dental Association brings news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. No publication reaches more Michigan dentists!

• The February issue previews the 2024 Annual Session in Lansing, highlighting 61 courses, 48 speakers, and Michigan’s largest dental exhibit hall
• A Feature article on The MDA Member Assistance Program: Real Help When You Need It
• News You Need, including The MDA announcement of John Tramontana as the new CEO/executive director
• The MDA Student Debt Resource Center
• Updates on the MDA website refresh
• Celebrating National Children’s …

2024 February, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for February of 2024.

Investigation Of Algorithmic Nudging On Decision Quality: Evidence From Randomized Experiments In Online Recommendation Settings, Yuxiao Luo

Dissertations, Theses, and Capstone Projects

Most recently, academic research has started to address the relationship between nudges and Artificial Intelligence/Machine Learning (AI/ML) and found that personalized targeting algorithms can influence individual and collective behaviors in ways that may lead to undesired consequences for both end-users and firms. This dissertation investigates the effects of digital nudging, particularly algorithmic nudging, on user’s decision quality in online badge recommendations in the e-commerce context. Nudge is a choice architecture that alters individual’s behavior in a predictable way while preserving all available options and keeping the same economic incentives. In this dissertation, I conducted three independent and relevant studies and …

Do Underwriters Short-Change Corporations Issuing Bonds?, Jeremy C. Goh, Lisa (Zongfei) Yang

Research Collection Lee Kong Chian School Of Business

We confirm prior evidence that bonds on average are offered at prices below their immediate post-offer secondary market prices. However, in cases where banks lead–manage their own bond offerings the underpricing is significantly less as compared with other non-self-marketed offerings. These findings are robust across various matched samples and selection models. Our results suggest that the bond offering process is characterized by substantive agency conflicts between shareholders of corporations (issuers) and underwriters.

Enhancing Sell-Type Home Reversion Products For Retirement Financing, Koon Shing Kwong, Jing Rong Goh, Ting Lin Collin Chua

Research Collection School Of Economics

Loan-type reverse mortgage plans and sell-type home reversion plans for retirement financing are two well-known equity release plans that entitle homeowners not only to release cash from their properties but also to allow them to age in place. Recently, a new hybrid equity release plan was proposed to incorporate the home reversion plan’s features with an option of staying in the property for a fixed period without being subject to survival. This additional option provides flexibility to homeowners to better meet their retirement financial and personal needs by reducing the financial uncertainty of home reversion products. In this article, we …

Robust Permissioned Blockchain Consensus For Unstable Communication In Fanet, Zihao Wang, Hang Wang, Zhuowen Li, Xinghua Li, Yinbin Miao, Yanbing Ren, Yunwei Wang, Zhe Ren, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The utilization of blockchain technology as a distributed information sharing system has gained widespread adoption across various domains. However, its application to Flying Ad-Hoc Network (FANET), characterized by severe packet loss, poses significant challenges. The high packet loss rates in FANETs can result in decreased consensus success rates and negatively impact information sharing consistency and efficiency. In this paper, we proposed RoUBC, a novel consensus scheme for Flying Ad-Hoc Networks (FANET), which is based on the Raft protocol and is designed to address the challenges posed by the severe packet loss network in FANET. The proposed scheme consists of two …

Earnhft: Efficient Hierarchical Reinforcement Learning For High Frequency Trading, Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

High-frequency trading (HFT) is using computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) market, (e.g., Bitcoin). Reinforcement learning (RL) in financial research has shown stellar performance on many quantitative trading tasks. However, most methods focus on low-frequency trading, e.g., day-level, which cannot be directly applied to HFT because of two challenges. First, RL for HFT involves dealing with extremely long trajectories (e.g., 2.4 million steps per month), which is hard to optimize and evaluate. Second, the dramatic price fluctuations and market trend changes of Crypto make existing algorithms …

Market-Gan: Adding Control To Financial Market Data Generation With Semantic Context, Haochong Xia, Shuo Sun, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financial market simulation methodologies, existing frameworks often struggle with adapting to specialized simulation context. We pinpoint the challenges as i) current financial datasets do not contain context labels; ii) current techniques are not designed to generate financial data with context as control, which demands greater precision compared to other modalities; iii) the inherent difficulties in generating context-aligned, high-fidelity data given the non-stationary, noisy nature of financial data. To address these challenges, our contributions are: i) we proposed the Contextual …

What Difference Do The New Factor Models Make In Portfolio Allocation?, Frank J. Fabozzi, Dashan Huang, Fuwei Jiang, Jiexun Wang

Research Collection Lee Kong Chian School Of Business

This paper compares the Hou-Xue-Zhang four-factor model with the Fama-French five-factor model from an investing perspective both in- and out-of-sample. Without margin requirements and model uncertainty, the Hou-Xue-Zhang model outperforms the Fama-French model. However, the outperformance could become negligible if an investor is subject to margin requirements and model uncertainty. The Hou-Xue-Zhang model shows similar power as the Fama-French model in describing the covariance matrix of asset returns. Overall, the two models do not make a difference for investing in a realistic setting.

Learning From Machines: How Negative Feedback From Machines Improves Learning Between Humans, Tengjian Zou, Gokhan Ertug, Thomas Roulet

Research Collection Lee Kong Chian School Of Business

Prior studies on learning from failure primarily focus on how individuals learn from failure feedback given by other individuals. It is unclear whether and how the advent of machine feedback may influence individuals’ learning from failures. We suggest that failure feedback provided by machines facilitates learning in two ways. First, it focuses individuals’ attention on their failures, leading them to learn from these failures. Second, it serves as a catalyzer, motivating individuals to learn more from failure feedback given to them by other individuals as well. In addition, this catalyzing effect is stronger if the failure feedback from machines and …

Multi-Perspective Analysis For Derivative Financial Product Prediction With Stacked Recurrent Neural Networks, Natural Language Processing And Large Language Model, Ethan Lo

Dissertations, Theses, and Capstone Projects

This study developed a multi-perspective, AI-powered model for predicting E-Mini S&P 500 Index Futures prices, tackling the challenging market dynamics of these derivative financial instruments. Leveraging FinBERT for analysis of Wall Street Journal data alongside technical indicators, trader positioning, and economic factors, my stacked recurrent neural network built with LSTMs and GRUs achieves significantly improved accuracy compared to single sub-models. Furthermore, ChatGPT generation of human-readable analysis reports demonstrates the feasibility of using large language models in financial analysis. This research pioneers the use of stacked RNNs and LLMs for multi-perspective financial analysis, offering a novel blueprint for automated prediction and …

Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu

Dissertations, Theses, and Capstone Projects

This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …