Business Commons^™

Uncovering The Mimicry Of Online Review Breadth And Depth And Its Subsequent Effect On Consumer Responses, Andrea Pelaez Martinez

Dissertations, Theses, and Capstone Projects

Word-of-mouth (WOM) in marketing occurs when consumers discuss a company's product or service or any consumption experience with their friends, family, and others with whom they have any relationship. With the advent of social media, this phenomenon has expanded rapidly into virtual environments where consumer conversation is enabled through chats, forums, social media posts, and online reviews. In response to this rapid growth of online WOM, academics and practitioners have focused their interest on this phenomenon and its implications on consumers, firms, and society. So far, the evidence of the critical role that online WOM plays in helping consumers make …

Evaluating Climate Sentiment In Sec 10-K Filings: S&P 50 Companies, Ruby Chu

Dissertations, Theses, and Capstone Projects

Evaluating Climate Sentiment in SEC 10-K Filings: S&P 50 Companies investigates how climate sentiment is portrayed in corporate financial reporting, focusing on SEC 10-K filings from leading S&P 50 companies. These filings offer detailed insights into financial performance, risks, and management discussions, providing a rich dataset for analyzing corporate behaviors with sustainability and environmental concerns. This study aims to shed light on the extent to which companies address environmental issues and the implications for environmental stewardship by analyzing how these topics are portrayed in their SEC 10-K filings. Drawing inspiration from established greenwashing indicator frameworks, the study develops a climate …

Empirical Essays On Corporate Financing Behaviors, Joonsung Won

Dissertations, Theses, and Capstone Projects

This dissertation provides an investigation into how external factors influence corporate financing decisions and examines the nature and extent of their impact. To address this, I explore three key external factors: the financial market, financial institutions, and regulatory environment. The chapters explore how the financial market risk perception, financial institutions, and regulatory environment affect corporate financing decisions such as capital structure, bank borrowing, and regulatory capital issuance.

Chapter 1. This chapter presents the motivation and structure of the dissertation.

Chapter 2. Using a recently developed measure of financial market risk perceptions, I show that risk perceptions affect firm-level corporate financing …

Empirical Essays On Retail Investors, Institutional Investors, And Anomalies, Yuqing Yang

Dissertations, Theses, and Capstone Projects

This dissertation consists of five chapters on market efficiencies through retail and international mutual fund investors.

Chapter 1 This chapter briefly introduces this dissertation.

Chapter 2 This chapter Anomalies Never Disappeared: The Case of Stubborn Retail Investors delves into the “stubborn” retail investors and finds that anomalies traded against by retail investors never disappear in the long run, defying the conventional wisdom that anomalies are disappearing in recent years as market efficiency improves. Incorporating retail trading, I develop asset pricing models that surpass existing prominent models in explaining these long-run alphas. I hypothesize that retail investors exacerbate anomalies: the more …

Socially Safe On Smartphones: How Smartphone Use Reduces Social Risk Taking, Diogo Koch Alves

Dissertations, Theses, and Capstone Projects

Consumers are often faced with decisions that carry a degree of social risk, with uncertain outcomes that could impact their social standing. Examples include choosing the ideal outfit to wear to an upcoming party or selecting a gift to give to a friend. Given the prevalence of smartphones in consumer decision making, I investigate the effect of smartphone use on social risk taking. Across seven studies, I find that smartphone use, relative to the use of other devices, results in a lower propensity to make socially risky decisions. I propose that smartphone use, by increasing the salience of one’s social …

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, …

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 …

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 …