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Articles 1 - 7 of 7
Full-Text Articles in Decision Science
Airline Ticket Anaysis, Emerson Kohl, Ivan O'Neil
Airline Ticket Anaysis, Emerson Kohl, Ivan O'Neil
Discovery Day - Daytona Beach
While the U.S. domestic airline industry generates hundreds of billions in annual revenue, the mechanics of airfare pricing remain remarkably opaque to travelers and analysts alike. Prices for geographically similar routes often diverge sharply, driven by a complex interplay of structural constraints and market pressures. This study elucidates the primary drivers of ticket pricing by analyzing high-frequency data from the Bureau of Transportation Statistics DB1B database. Utilizing an Ordinary Least Squares framework, the research evaluates how route distance, carrier concentration, passenger throughput, and seasonal fluctuations collectively dictate average fares. By quantifying these relationships in Python, the analysis seeks to isolate …
Identifying The Threshold: Using Regulatory Focus As A Predictor Of Ceo Adaptibility During Environmental Changes, George B. Constantine Iii
Identifying The Threshold: Using Regulatory Focus As A Predictor Of Ceo Adaptibility During Environmental Changes, George B. Constantine Iii
Dissertations
Building on research on CEO turnover and strategic leadership, this study examines how decision makers' regulatory focus shapes strategic decision-making and how this can contribute to performance decline, often resulting in CEO replacement. Drawing on regulatory focus theory, the study theorizes that measurable chronic regulatory focus attributes influence decision makers’ capacity to adapt to environmental change—conditions under which prior research suggests executives may become rigid and persist with established strategies. Despite its relevance for strategic adaptation, such chronic trait behavior has received limited attention in the current business literature. To address this gap, effectuation theory is integrated into a simulation-based …
The Effects Of Neighborhood And Interior Characteristics On Residential Sale Prices, Ella Sophie Hagman
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 …
Las Vegas Casino Revenue In An Expanding Gambling Market, Kaden A. Villa-Real
Las Vegas Casino Revenue In An Expanding Gambling Market, Kaden A. Villa-Real
Undergraduate Economics Working Paper Series
This study examines whether expanding gambling substitutes disrupt the Las Vegas gambling industry using quarterly data from 2014 through 2025. Las Vegas casino revenue is used as the benchmark to gauge the health of Las Vegas, adjusted to Quarter 1 2014 dollars and using an OLS regression model. The results imply that online sports betting is a poor substitute for Las Vegas revenue, while online gambling shows a positive and statistically significant relationship with revenue. The findings indicate that Las Vegas is resilient despite the introduction of more competition and gambling alternatives within an industry it has traditionally known to …
Gambling Behaviors: How Do Gambling Losses Affect Future Wagers?, Ashley Talavera, Hannah Lopez Ibarra, Roman Rozbitskyy
Gambling Behaviors: How Do Gambling Losses Affect Future Wagers?, Ashley Talavera, Hannah Lopez Ibarra, Roman Rozbitskyy
Undergraduate Economics Working Paper Series
This study looks at how previous gambling losses affect future betting behavior in online cryptocurrency gambling markets. Using roughly 50,000 real betting observations from Bustabit, the paper tests whether gamblers become more aggressive after losses or instead pull back and bet more cautiously. Using both OLS and Fixed Effects regression models, the results show that players generally reduce their wager sizes following losses rather than engage in strong loss-chasing behavior. After controlling for individual player tendencies, the Fixed Effects models show statistically significant decreases in future bet sizes after losses, suggesting that caution and loss aversion may play a larger …
Two Papers Exploring Cognitive Fit Theory And Data Visualization In Accounting, Kelly Wellman
Two Papers Exploring Cognitive Fit Theory And Data Visualization In Accounting, Kelly Wellman
Graduate Studies Theses and Dissertations 2026
This dissertation examines how data visualization design influences judgment and decision making in accounting using cognitive fit theory as a unifying framework. As visualization tools such as dashboards, Excel, Tableau, and Power BI become increasingly prevalent, understanding which design choices improve performance has become critical. The first paper provides a structured literature review of cognitive fit theory from 1991 through 2025, synthesizing research across accounting and related disciplines and tracing its evolution from early graph vs tables comparisons to mor recent work incorporating task complexity, individual differences, and design-specific features. The review identifies key gaps, including limited attention to difference …
Intelligent Agent For Electronic Commerce Using Neural Network Approach \, Hui Sun Yap
Intelligent Agent For Electronic Commerce Using Neural Network Approach \, Hui Sun Yap
Student Works (2000-2009)
This project is aims to developing a tool that able to collect relevant information from the World Wide Web and a tool that can be used to assists users in decision-making in the activities of e-commerce. It i been built by using the neural network of artificial intelligence approach. In more specific, the back propagation network was been used. This report contains seven chapters that uncovered the details of the project from the beginning through the end of the system evaluation and a conclusion chapter. These chapters and its contain are been arranged as the following: Chapter I - lntroduction, …