Business Analytics Commons^™

The Rise Of Artificial Intelligence In The Legal Field: Where We Are And Where We Are Going, Sergio David Becerra

The Journal of Business, Entrepreneurship & the Law

The twenty-first century has brought significant technological advancement that permeates all aspects of our lives. The legal field, though slow in the adaption of this technology, is beginning to pick up the pace. Artificial Intelligence (AI) technology is used now to perform legal work once completed solely by legal practitioners. This Comment outlines what AI is and reviews the current use of AI in the legal field. It also identifies AI products and developments that are in place. Finally, it argues that lawyers will always be needed in the practice of law, despite the continued growth of AI.

A Longitudinal Analysis On The Cyclical Pattern Of The Us Airline Industry, Michelle Bennett

Discovery Day - Prescott

The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. The AQR sets the industry standard, providing consumers and industry watchers a way to compare performance quality among different US airlines using objective performance-based data (Bowen and Headley, 2014). The quantitative weighted average is computed monthly for every airline and divided by the sum of the weight to create the index. Criteria weighted in this formula include baggage handling, customer complaints, denied boarding and on time arrivals. This research employs the application of a longitudinal analysis methodology resulting in finding …

3rd Analytics Without Borders Conference Program, Bentley University

Analytics Without Borders

No abstract provided.

Driving The Future: Mobility In The 21st Century, Ted Hamer

Purdue Road School

As part of its future-focused infrastructure planning, INDOT is embarking on a project with Purdue University to understand how the development of transportation infrastructure can be linked to benefits to business supply chains, thus enabling decisions to nurture an ecosystem around connected and autonomous vehicles (CAVs). KPMG will provide insight into the CAV industry.

Research Benefits For Scholarly Authors Being Published On A Public Forum, Hunter M. Watson, Brent D. Bowen, Timothy B. Holt, Jacqueline R. Luedtke

Publications

The previous construct of research was focused on social media platforms as a benefactor in broadcasting towards a global audience with non-academic professions. Following along the same ideology, this research directs the attention to a pertained audience in academic profession.

•Embry-Riddle is the host of Scholarly Commons which collects the research of authors (faculty members), and assists in developing a digital portfolio. This portfolio creates metric measurements on a dashboard to indicate where downloads are occurring, and aids in providing current information pertaining to the authors’ publication. •In this case, the publication of the National Airline Quality Rating (AQR) ( …

A Longitudinal Analysis On The Cyclical Pattern Of The U.S. Airline Industry, Michelle M. Bennett, Brent D. Bowen, Jacqueline R. Luedtke, Dean Headley, Timothy B. Holt

Publications

The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. AQR provides consumers and industry watchers a means to compare performance quality among different US airlines using objective performance-based data. This research looks to analyze the cyclical patterns present in AQR in order to identify trends and factors contributing to the changes in these results each year. This research utilizes the application of a longitudinal analysis methodology which will provide the correlation between factors identified and the indicators affected.

Influence Of The Event Rate On Discrimination Abilities Of Bankruptcy Prediction Models, Lili Zhang, Jennifer Priestley, Xuelei Ni

Published and Grey Literature from PhD Candidates

In bankruptcy prediction, the proportion of events is very low, which is often oversampled to eliminate this bias. In this paper, we study the influence of the event rate on discrimination abilities of bankruptcy prediction models. First the statistical association and significance of public records and firmographics indicators with the bankruptcy were explored. Then the event rate was oversampled from 0.12% to 10%, 20%, 30%, 40%, and 50%, respectively. Seven models were developed, including Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, Support Vector Machine, Bayesian Network, and Neural Network. Under different event rates, models were comprehensively evaluated and compared …

Comparison Of Bankruptcy Prediction Models With Public Records And Firmographics, Lili Zhang, Jennifer Priestley, Xuelei Ni

Published and Grey Literature from PhD Candidates

Many business operations and strategies rely on bankruptcy prediction. In this paper, we aim to study the impacts of public records and firmographics and predict the bankruptcy in a 12-month-ahead period with using different classification models and adding values to traditionally used financial ratios. Univariate analysis shows the statistical association and significance of public records and firmographics indicators with the bankruptcy. Further, seven statistical models and machine learning methods were developed, including Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, Support Vector Machine, Bayesian Network, and Neural Network. The performance of models were evaluated and compared based on classification accuracy, …

Productivity And The California Global Warming Solutions Act: An Examination Of Cost Of Compliance Utilizing Plant Level Data In The Portland Cement And Manufacturing Industry, Richard Ardito

Doctoral Dissertations and Projects

This dissertation examined the effect of California environmental regulation, AB32 on the Portland Cement Mining and Manufacturing industry which was directly targeted by the legislation. The researcher examined the effect of productivity on the Portland Cement industry operating within California by comparing changes specific labor and fuel use productivity measures to changes in the same measures for organizations operating outside of California. These differences were examined using an independent sample t-test to determine if any changes were statistically significant. The results showed statistically significant increases in productivity for direct labor, total employee labor, and combustible fuel use when analyzed to …

Using Financial Investment Measures To Proactively Engage Students In The Introductory Business Statistics Course, Mark L. Berenson, Nicole Koppel, Richard Lord, Laura L. Chapdelaine

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Typically, the core-required undergraduate business statistics course covers a broad spectrum of topics with applications pertaining to all functional areas of business. The recently updated American Statistical Association's GAISE (Guidelines for Assessment and Instruction in Statistics Education) College Report once again stresses the pedagogical importance of topic and application relevancy in an increasingly data-centered world. To this end, only two introductory textbooks have incorporated some financial investment measures (Sharpe ratio and beta coefficient) in the teaching of numerical descriptive measures and simple linear regression analysis, respectively, while a few others include them as real-data application exercises at the end of …

The Emerging International Taxation Problems, James G. Yang, Victor N.A. Metallo

Department of Accounting and Finance Faculty Scholarship and Creative Works

The problems of tax evasion and tax avoidance are as old as taxes themselves. Between 2015 and 2016 alone, many U.S. multinational corporations were involved in tax disputes with the European Commission. From a historical perspective, these disputes are unprecedented as they have resulted in tremendous amount of tax penalties. The most notable case was Apple for €13 billion of unpaid tax. This article discusses what tax strategies these corporations used that caused such disputes. It specifically investigates seven corporations: Apple Inc., McDonald’s, Starbucks, Fiat, Amazon, Google, and Ikea, and elaborates on the following tax strategies: high royalties, intercompany transfer …

Effects Of Bonds & Fed Funds On The Stock Market, Josh Nelson, Mason Koch

Student Scholarship - College of Business

This paper is to investigate the relationship that Treasury bonds and Fed Funds have with the stock market. This research is valuable because the stock market is a major aspect of America’s economy, although many consider it unpredictable and difficult to understand. The goal of our research is to lessen this unpredictability, as well as to assess the inverse relationship that hypothetically exists between the stock market, bonds and Fed Funds. By employing an OLS regression model, this study finds the effect of Fed Funds is statistically and economically significant with regard to the stock market, also having the predicted …

Building A Soccer Dynasty, Carter Bedsole, Gary Buckley

Student Scholarship - College of Business

The soccer world operates as a free market. Buying, selling, and trading of players is vital to the success of a club. A successful soccer club brings a great deal of revenue and growth to a local economy. Therefore, clubs ought to be prudent when signing players. In this paper, we use ordinary least squares regressions on Major League Soccer player data from 2015-2018 to determine the effect strikers and goalkeepers have on team success. In other words, what is the marginal impact of a good striker relative to a bad one? A good goalkeeper relative to a mediocre one? …

Stay In School, Kids, Caleb Reynolds, Julia Wenndt

Student Scholarship - College of Business

This paper presents an analysis of the effects of football wins percentage on universities’ retention rates. Using an OLS model we determine the causal relationship between football wins percentages, other independent variables, and universities’ retention rates. Throughout the paper we will define all relevant independent variables and present an overview of the data gathered in order to formulate our results. A theoretical framework will be presented followed by a thorough analysis of the OLS estimation results.

Service System Fundamentals: Work System, Value Chain, And Life Cycle, Steven Alter

Business Analytics and Information Systems

Service systems produce all services of significance and scope, yet the concept of a service system is not well articulated in the service literature. This paper presents three interrelated frameworks as a first attempt to define the fundamentals of service systems. These frameworks identify basic building blocks and organize important attributes and change processes that apply across all service systems. Although relevant regardless of whether a service system uses information technology, the frameworks are also potentially useful in visualizing the realities of moving toward automated service architectures. This paper uses two examples, one largely manual and one highly automated, to …

Food Choice Priorities Change Over Time And Predict Dietary Intake At The End Of The First Year Of College Among Students In The U.S., Melissa J. Vilaro, Sarah E. Colby, Kristin Riggsbee, Wenjun Zhou, Carol Byrd-Bredbenner, Melissa D. Olfert, Tracey E. Barnett, Tanya Horacek, Morgan Sowers, Anne E. Matthews

Faculty & Staff Scholarship

This study assessed food choice priorities (FCP) and associations with consumption of fruits and vegetables (FV), fiber, added sugars from non-beverage sources, and sugar-sweetened beverages (SSB) among college students. Freshmen from eight U.S. universities (N = 1149) completed the Food Choice Priorities Survey, designed for college students to provide a way to determine the factors of greatest importance regarding food choices, and the NCI Dietary Screener Questionnaire. Changes in FCP and dietary intake from fall 2015 to spring 2016 were assessed. Multiple regression models examined associations between FCP and log-transformed dietary intake, controlling for sex, age, race, and BMI. Participant …

Neck Circumference Positively Relates To Cardiovascular Risk Factors In College Students, Oluremi A. Famodu, Makenzie L. Barr, Sarah E. Colby, Wenjun Zhou, Ida Holaskova, Miriam P. Leary, Carol Bryd-Bredbenner, Anne E. Matthews, Melissa D. Olfert

Faculty & Staff Scholarship

The objective of this study was to determine the relationship between neck circumference (NC) and other anthropometric measures and examine cut-off points for males and females according to existing waist circumference cut-off levels in this age group. Across 8 universities, 1562 students underwent a physical assessment. Spearman rho correlations (ρ) were calculated to determine associations between NC and other continuous variables of health. Receiving operating characteristic curves were constructed to assess the optimal cut-off levels of NC of males and females with central obesity. Participants were predominantly Caucasian (67%), female (70%), and outside of Appalachia 2 (82%). Forty-one percent of …

2017-2018 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2017-2018 Audit Report for Morehead State University.

Self-Reported Vs. Measured Height, Weight, And Bmi In Young Adults, Melissa D. Olfert, Makenzie L. Barr, Camille M. Charlier, Oluremi A. Famodu, Wenjun Zhou, Anne E. Mathews, Carol Byrd-Bredbenner, Sarah E. Colby

Faculty & Staff Scholarship

Self-reported height and weight, if accurate, provide a simple and economical method to track changes in body weight over time. Literature suggests adults tend to under-report their own weight and that the gap between self-reported weight and actual weight increases with obesity. This study investigates the extent of discrepancy in self-reported height, weight, and subsequent Body Mass Index (BMI) versus actual measurements in young adults. Physically measured and self-reported height and weight were taken from 1562 students. Male students marginally overestimated height, while females were closer to target. Males, on average, closely self-reported weight. Self-reported anthropometrics remained statistically correlated to …

Data Warehousing Class Project Report, Gaya Haciane, Chuan Chieh Lu, Rassaniya Lerdphayakkarat, Rudraxi Mitra

Engineering and Technology Management Student Projects

Data mining is widely described or defined as the discipline of: “making sense of the data”. In today’s day and age, the rise of ubiquity of information calls for more advanced and developed techniques to mine the data and come up with insights. Data mining finds applications in many different fields and industries: Whether it is in Embryology, Crops, Elections, or Business Marketing...etc. It is not a wild assumption to consider that every organization in the world has some data mining capabilities or its main activity necessitates it and they have some third party organization doing that for them. One …