Business Analytics Commons^™

Does Racial Discrimination Exist In The Nba?, Logan Kendall

Williams Honors College, Honors Research Projects

This paper aims to examines the affect of race on compensation for NBA players. Based on prior research, I pose the hypothesis that racial discrimination does exist in the NBA with there being a premium for white players. A second hypothesis I present based on the previous research is that the premium for white players exist for only some groups of players and for other groups there with not exist discrimination based on player race. By using career data from every player who played in the 2019-2020 NBA season and their 2019-2020 salaries, a few different models where ran. The …

Machine Learning Stock Market Prediction Studies: Review And Research Directions, Troy J. Strader, John J. Rozycki, Thomas H. Root, Yu-Hsiang John Huang

Journal of International Technology and Information Management

Stock market investment strategies are complex and rely on an evaluation of vast amounts of data. In recent years, machine learning techniques have increasingly been examined to assess whether they can improve market forecasting when compared with traditional approaches. The objective for this study is to identify directions for future machine learning stock market prediction research based upon a review of current literature. A systematic literature review methodology is used to identify relevant peer-reviewed journal articles from the past twenty years and categorize studies that have similar methods and contexts. Four categories emerge: artificial neural network studies, support vector machine …

To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun

Journal of International Technology and Information Management

Technology is rapidly changing the business landscape. Workforce skills gap is widening in the digital business environment. Universities and employers call for developing students’ higher-order thinking skills along with integrating technology into academic curricula. We conducted a survey to assess learning outcomes from two groups of undergraduate students: business majors and information technology (IT) majors. SAP ERP hands-on case studies were used for this comparative experiment. The student survey results showed that the students of both majors believed that learning SAP software can lead to more rewarding jobs and they felt confident about their competitiveness in the job market. Although …

From Engagement To Empowerment: Project-Based Learning In Python Coding Courses, Mark Frydenberg, Kevin Mentzer

Information Systems and Analytics Department Faculty Journal Articles

Project-based learning (PBL) engages students deeply with course concepts and empowers them to drive their own learning through the development of solutions to real-world challenges. By taking ownership of and completing a project that they designed, students develop and demonstrate creativity, critical thinking, and collaboration skills. This paper describes two different software development projects, designed with a PBL approach, in Python coding courses at two business universities in the United States, in which students queried real-world data to answer their own questions and interpret the results. The authors contend that projects based on a PBL approach motivate students for selfexploration …

Government Debt And Economic Growth, Cai Xin Ng

Student Works (2020-2029)

The level of Malaysia government debt have been hiking in recent years which leads to controversies regarding the sustainability of the debt level. The question that borrowings will stimulate or inhibit the economy remains as an important issue to be addressed. This paper examines the impact of government debt on economic growth in Malaysia. Utilizing the macroeconomic data between 1970 and 2018, we first apply an autoregressive distributed lag (ARDL) framework to examine the relationship between government debt and economic growth. The short term and long term relationship as well as cointegrating relationship between government debt and economic growth were …

Financial Development And Unemployment In Malaysia, Puong Hung Hii

Student Works (2020-2029)

In the past decades, the topic financial development and economic growth has been popularly discussed by scholars. From the past literature, financial development is an important component in promoting economic growth. However, there has been less study about the relationship of financial development and unemployment rate. Therefore, this study aims to investigate the relationship between the financial development and unemployment rate in the case of Malaysia from year 1981 until 2018. This study analyses the relationship by using two model equations to test separately the effect of each financial development indicators (Domestic Credit to Private Sector and Stock Market Capitalization) …

A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices, Alexander Novitsky

CMC Senior Theses

The combination of the advent of the internet in 1983 with the Securities and Exchange Commission’s ruling allowing firms the use of social media for public disclosures merged to create a wealth of user data that traders could quickly capitalize on to improve their own predictive stock return models. This thesis analyzes some of the impact that this new data may have on stock return models by comparing a model that uses the Index Price and Yesterday’s Stock Return to one that includes those two factors as well as average tweet Polarity and Subjectivity. This analysis is done with ten …

An Econometric Evaluation Of Localism And Other Potential Success Factors In California’S Craft Brewing Industry, Connor Sinclair

CMC Senior Theses

As growth of the American craft brewing industry slows and smaller firms account for a greater proportion of expansion, I test whether traits that are indicative of smaller firms have an effect on brewery success. I hypothesize that firms which utilize localist strategies such as geographical branding, use of local ingredients, charitable giving, and/or sustainable practices are more successful than others and therefore produced more barrels of beer in 2017. To test my hypothesis, I estimate ordinary least squares regressions with robust standard errors using data collected from the Brewers Association and the websites of 362 California craft breweries. I …

Re-Thinking Risk Management Of Auction House Guarantees And Third-Party Irrevocable Bids, Nathan Krasnick

MA Theses

This paper addresses the question of how deviations between expected and actual art auction results impact the auction guarantees made within an artist’s market and among multiple artists, and whether those impacts can be identified and quantified. To do so, I use a theoretical pricing model based on datasets of historical auction records going back to the earliest available date for a specific artist but no further than 2010. I find that, in comparing the model’s expected and actual results to empirical price deviations at auction, we can identify and quantify the impact of those deviations on guarantees.

The Old Masters Market And The Salvator Mundi: What Did It Do, What Can Be Done?, Mary Sullivan

MA Theses

On 3 November 2017, within the Post-War & Contemporary Evening Sale at Christie's auction in New York, nestled between a Vija Celmins and Jean-Michel Basquiat, was a painting attributed to Leonardo da Vinci, the Salvator Mundi (1490-1500.) The work quadrupled the estimated sale price of 100 million USD, hammering at 400 million (for a total of 450.3 million with buyer’s premium.) This work, setting the record for the most expensive work of art ever sold, at auction or private, creates a curious case for the Old Masters category. What appears to be a shrinking, potentially dwindling category of art, now …

Using Social Media For Customer Knowledge Management In Developing Economies: A Systematic Review, Martinson Ofori, Omar El-Gayar

Research & Publications

Knowledge Management (KM) research has theorized that KM activities lead to better firm performance. The current view that there is more external knowledge than exists within organizations has resulted in a preference for customercentric approaches over traditional KM activities. Recent advances in technology has resulted in social media use as an avenue for knowledge creation from the social interaction between brands and their customers. Most research however explore social media’s impact on organizational knowledge in developed economies with little attention to developing economies where KM could be conceptualized differently. In this research, we analyze the extent to which social media …

Three Essays On Health Economics And Policy Evaluation, Shishir Shakya

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three essays on the U.S. Health care policy. Each paragraph below refers to the three abstracts for the three chapters in this dissertation, respectively. I provide quantitative evidence on how much Prescription Drug Monitoring Programs (PDMPs) affects the retail opioid prescribing behaviors. Using the American Community Survey (ACS), I retrieve county-level high dimensional panel data set from 2010 to 2017. I employ three separate identification strategies: difference-in-difference, double selection post-LASSO, and spatial difference-in-difference. I compare how the retail opioid prescribing behaviors of counties, that are mandatory for prescribers to check the PDMP before prescribing controlled substances …

Price And Performance Trends For Cellular Trail Cameras Explained With A Time Trend, Google Keyword Trends, And A Use Case Of Suburban Deer Management, G. Webb

Faculty Research, Scholarly, and Creative Activity

Price and performance improvements for trail cameras, remote cameras designed for wildlife observation, havegiven wildlife researchers a widely accepted new tool. After their introduction in 2010, cellular trail cameras havebecome popular, saving travel time and reducing disturbance to wildlife. A use case of trail cameras for suburbandeer management illustrates desirable product features and risks of using citizen science for research. A time trendof camera prices identifies a common product price pattern for technology products, a decline following a logisticor inverted s-curve. Data from Google Keyword Trends captures the changing level of market interest correlatedwith high statistical significance compared to price …

Analysis Of Newspaper Headlines: A Case Of Two Tanzanian English Dailies, Erasmus Akiley Msuya

Journal of Humanities and Social Sciences

The current study analyses newspaper headlines in respect to three categories: international, local, and business news (irrespective of the geographical scope) of two English dailies: a government-owned Daily News, and a privately-owned The Guardian. The study sought to analyse newspaper headlines guided by semantic under-determinacy, an important theoretical framework in accounting for a balance between linguistic economy that characterises newspaper headlines and communicative precision. The data were collected via documentary review. The headlines were analysed under three categories: local, international, and business news that included local and international spectrums. A total of 2004 headlines were randomly selected for analysis: 1088 …

Identifying At-Risk Clients For Xyz Packaging, Co., Eduardo Carlos Cantu Medellin, Mihir Parikh, Christopher Graves, Brendon Jones

SMU Data Science Review

We present a multi-algorithmic modeling approach for the identification of at-risk customers for XYZ Packaging Inc. We define at-risk customers as those having declining seasonally adjusted gross income forecasts which are a strong indicator of impending customer churn. Customer retention is an area of interest regardless of industry but is especially vital in commodity-based low margin industries. We employ traditional Autoregressive Integrated Moving Average (ARIMA) and Anomaly Detection algorithms for discriminating changes in customer revenue patterns. Ultimately, we identify a meaningful proportion of clients whose forward-looking quarterly demand can be predicted within an actionable degree of accuracy.

In The Midst Of The Apocalypse, Artificial Intelligence Can Save Brick And Mortar Retailers, Vrushank Nayak

Capstones

You might have heard that brick and mortar stores are closing by the thousands but I bet you didn't hear that brick and mortar stores are using artificial intelligence and customer data to help them counter closures and stay relevant in the transitioning retail industry.

https://coveringcompanies.journalism.cuny.edu/2020/01/07/in-the-midst-of-the-apocalypse-artificial-intelligence-can-save-brick-and-mortar-retailers/

Requirement Elicitation, Cameron Myers

Honors Theses

Requirement Elicitation is a flexible and malleable process that can be changed based upon the requirements of the analyst, stakeholders, and/or the application. In recent years analysts have given more distinction to the effectiveness and the types of result yielded based on the unique attributes of each elicitation technique. These distinctions arose because of advancing technology and use cases used when developing an application. Naturally, the elicitation techniques are advancing as well. They are advancing into different categories to better focus on yielding the right information to identify the right requirements. Such as behavioral techniques, cognitive techniques, contrived techniques, etc. …

Assigning Triaged Patients To Treatment Rooms In A Hospital Emergency Department, Barry E. King E. King, Tyler Pollard, Jennifer Rice, Jane Siegler

Scholarship and Professional Work - Business

The assigning of new arrivals at a hospital emergency department to treatment rooms was examined. New patients are summarily triaged and assigned to a treatment room based on severity of their symptoms, the grade of a treatment room, and an exponential benefit curve that encourages the solver to schedule the most severe cases early. SAS’s OPTMODEL modeling language was employed to build the model and SAS’s MILP solver was used to perform the scheduling. Up to thirty patients were optimally assigned to depict the example of a large emergency department.

Automation Of Data Analysis In Formula 1, Adam Joseph Mourad, Prescott Jeanne Delzell, Patrick Conner Mccabe

Industrial and Manufacturing Engineering

This paper explores economic solutions for Formula 1 racing companies who are interested in data visualization tools. The research was conducted on the current development of data gathering, data visualization, and data interpretation in Formula 1 racing. It was found that a large chunk of racing companies within the league needs an affordable, effective, and automated visualization tool for data interpretation. As data collection in Formula 1 arises, the need for faster and more powerful software increases. Racing companies profit off-brand exposure and the more a racing team wins, the more exposure they receive. The goal of the paper focuses …

Feasibility Of Collaborative Alliance Association For Non-Competitive Small Business Contractors, Brody Allen Gill

Construction Management

Small business construction contracting firms around the country struggle with growing their business successfully. This is a result of unknown results from new business practices and few resources to initiate programs that can improve productivity and efficiency. A simple solution could give small business construction contractors the opportunity to share ideas, compare company analytics and promote professional networking in a non-competitive, collaborative alliance. The goal of this project is to determine if a collaborative alliance association using data benchmarking would be an effective solution for non-competitive small business contractors to grow their businesses. Thereafter being proven effective, is such an …