Business Analytics Commons^™

Revisiting Cybersecurity Awareness In The Midst Of Disruptions, Avideh Sadaghiani-Tabrizi

International Journal for Business Education

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots. Revisiting cybersecurity awareness of every member and evaluation of organization’s posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets. The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children’s curriculum through interviews of elementary schoolteachers, IT experts, and parents to …

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

Small Business Development, Katrina Babb

2023 Spring Reports (Marshall, IL)

Introduction to the economic problems of wage earners in modern society. Labor markets; labor history; labor organizations; collective bargaining; and public policy toward labor. Econ 351 is predominately a microeconomics applications course with a unit on labor and the macroeconomy. This is a flipped course. Experiential learning activities will take us outside of the classroom; you will be participating in career readiness activities including an academic conference, working on a Marshall Sustainable Cities project, resume writing, and mock interviews.

2022-2023 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2022-2023 Audit Report for Morehead State University.

General Theory Of Information, Digital Genome, Large Language Models, And Medical Knowledge-Driven Digital Assistant, W. Patrick Kelly, Francesco Coccaro, Rao Mikkilineni

Barowsky School of Business | Faculty Scholarship

Recent advances in large language models, our understanding of the general theory of information, and the availability of new approaches to building self-regulating domain-specific software are driving the creation of next-generation knowledge-driven digital assistants to improve the efficiency, resiliency, and scalability of various business processes while fulfilling the functional requirements addressing a specific business problem. Here, we describe the implementation of a medical-knowledge-based digital assistant that uses medical knowledge derived from various sources including the large language models and assists the early medical diagnosis process by reducing the knowledge gap between the patient and medical professionals involved in the process.

Integrating Big Data Analytics With U.S. Sec Financial Statement Datasets And The Critical Examination Of The Altman Z’-Score Model, Shiva Krishna Sadula

Masters

The main aim of this thesis is to document the process of developing Big Data analytical applications and their integration with financial statement datasets. These datasets are publicly available on the U.S. SEC (Security and Exchange Commission) website which contains the annual and quarterly reports of approximately 8000 companies. Through its Electronic Data Gathering, Analysis and Retrieval (EDGAR) system, the SEC receives several terabytes of data in the mandatory filings from its registrants. This vast amount of data can potentially provide a valuable resource for those parties (such as investors, analysts, regulators and researchers) who are interested in assessing the …

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

College of Graduate Studies: Theses & Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

Examining The Interest Of Business School Students And The Gender Gap In Careers Of Data Science And Analytics, Logan M. Lopus

Honors Theses and Capstones

Professionals in the data science and analytics field are in high demand. Recently, business schools have introduced various academic programs to train students in those fields. However, what makes business school students interested in these career fields is not entirely known. Research questions such as who the major influencers are for business school students' career choices or whether there are any differences between genders in terms of their awareness, readiness, and interest in data science and analytics careers remain to be answered. Therefore, this study examines the segmentation of business school students in how they prepare for careers, drivers of …

Thinking Local With Original Data In Ai And Machine Learning Research, David G. Taylor, Robert Mccloud

WCBT Working Papers

Sacred Heart University spent significant funds to establish an AI lab. Initially there is no ongoing research and no real plan for a research agenda. This paper details how the Jack Welch College of Business and Technology created and implemented an active meaningful research plan. It involves two key elements: thinking local and using business connections to foster active, impactful research. Surrounding communities, business connections, area environment, and other Sacred Heart University departments all played a part. The research plan also identifies a specific issue in working with local and business contact sources: the AI researcher almost never gets data …

Modeling The Performance-Based Compensation Of Mlb Catchers, William Deforest

CMC Senior Theses

How professional baseball players are compensated for their on-field performance and contribution to winning baseball games has been studied many times by baseball analysts, yet no real attempt has been made to focus solely on the catcher position. As one of the most demanding and specialized positions in the game, a talented catcher is vital to a team’s success. This paper attempts to utilize Defensive Runs Saved (DRS) and Offensive Runs Above Average (OFF), leading statistics that use Statcast data to measure defensive and offensive productivity, to determine which area of catcher defense is the greatest differentiator between elite defensive …

An Analysis Of Salary Difference For Left-Handed Pitchers, Jarrett Korson

CMC Senior Theses

This thesis examines whether there is a difference in salary for left-handed pitchers in Major League Baseball. I review prior research regarding the valuation of MLB pitchers, salary discrimination in baseball, and left-handed pitchers to shape my methodology. Using Sean Lahman’s Baseball Database, I utilize various regression models to analyze effects on salary. Variables are transformed into cumulative, per 9- inning values and left-handed interaction variables are created to observe any difference in salary experienced only by left-handers. The models show that for variables with a statistically significant effect on salary, left-handers experience a statistically significant effect on salary above …

Manufacturing “Hits”: A Data-Driven Ai Approach To Releasing A Pop Song In 2022, Jessica Birk, Madhavi Chakrabarty

Atlantic Marketing Journal

Technology is radically transforming the music industry through the use of big data, artificial intelligence and machine learning algorithms. This paper presents a pilot study that examines the impact of data-driven approaches in creating, predicting, and marketing music. A machine learning algorithm is used to determine the optimal characteristics of the most popular songs and is used as the basis for creating the next song. Next, an AI technique was used to generate the inspiration of the instrumentation and lyrics of the song. Finally, a listener survey is used to determine the trend which included the mood, preference and context …

Esg Metric Variance And Methodology Standardization, Jordan Moyer

Honors Theses and Capstones

Across the globe Environmental, Social and Governance (ESG) scoring has become a tool used for mission-aligned investment. In the United States, there is no standardized method for scoring companies based on ESG practices; it is all completed by private companies with their own ways of managing data and creating scores. Corporate Social Responsibility (CSR) reporting, though mandatory in some countries, is also completely voluntary in the United States. CSR reports are a key part of the data collection used for ESG scoring. This research looks to understand how much CSR reporting is being influenced by ESG scoring methodologies, as well …

Playing To Win: The Effects Of Implementing Gamification Strategies In Product Marketing, Sabrina Stone

CMC Senior Theses

Let’s play a game. What effect do you think video games have on twenty-first-century marketing? In this age defined by its nature of digitality, capturing the attention of consumers is an arduous competition. Through market segmentation, research, and the observable variables of consumer behavior, product marketing has turned to video games as a solution to appeal to younger demographics. Gamification is an increasingly applied product marketing strategy employed to increase favorable metrics. Of those key performance indicators (KPIs), boosted measures such as click-through rates, impressions, and engagement rates suggest that gamification is a strategic opportunity to persuade consumers to take …

The Search For Value For New England Skiers, Colin J. Liebert

Honors Theses and Capstones

No abstract provided.

Index Funds And Etfs: Simplifying Investing For Better Returns, Patrick J. Cotton

Honors Theses and Capstones

No abstract provided.

The Effects Of Different Personalized Services On Consumer Cognition, Emotion, And Intention To Share Information, Thomas John Stimson Ii, Jing Wang

Honors Theses and Capstones

No abstract provided.

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

An Integrated Framework On Human-In-The-Loop Risk Analytics, Peng Liu

Research Collection Lee Kong Chian School Of Business

Risk analytics is an integral component in the overall assessment of the risk profile for potential and existing obligors. For example, credit worthiness is often assessed via the use of scorecards, which are regulatory credit risk models developed based on historical data and domain expertise in banks and financial institutions. A pure statistical model, however, often fails to entertain regulatory requirements on both predictiveness and interpretability at the same time. Instead, practical risk models are developed by incorporating expert opinions within the development process, such as forcing the direction of travel for certain financial factors. In this article, the author …

Impact Of Sports Gambling Legality On U.S. States’ Real Gdp Per Capita, Emilian Ardeljan

Williams Honors College, Honors Research Projects

This paper analyzes the impact of the Supreme Court’s decision in 2018 to allow states and Washington D.C. to implement state-sponsored sports gambling on that state’s real GDP per capita. In addition, this paper also analyzes if there is a statistically significant difference in the measures of the real GDP per capita between the various levels of legalization states have incorporated including retail-only, online-only, and fully legalized. The motivation for this research stems from the recent increase in the number of states that have legalized sports gambling to some degree as well as the growing popularity of the sports betting …

Experience Levels Forcing A Change In Aviation Planning, Jason A. Powell, Elizabeth Crockett

Journal of Aviation/Aerospace Education & Research

This theoretical article evaluates the changing dynamics caused by high turnover in aviation and how the lower level of experience impacts aeronautical companies' organizational planning and partnerships. The aviation organization must adapt managerial practices and alter training capability and procedures to ensure appropriate skill levels. Without proper planning, the company will have an imbalance of skills and accept more risk to operations. The aviation organization may be unable to adapt current scheduling practices to properly prepare the aircrew for challenging situations or sufficiently train maintenance personnel. The result is a need to leverage strategic partnerships, alter management practices toward personnel …

Evaluating The Effect Of Nil Laws On College Athletic Department Revenue, Dylan C. Cherullo

Undergraduate Theses, Professional Papers, and Capstone Artifacts

This paper examines the impact of Name, Image, and Likeness (NIL) laws on revenue for public Division I universities' athletic departments, challenging the long-standing debate within the National Collegiate Athletics Association (NCAA). Utilizing panel data from the Knight Commission on College Athletics, which encompasses over 350 public Division I universities from 2002 to 2021, this study employs a difference-in-differences model. The model investigates state-level changes in university athletic department revenue from sponsorships (sponsrev), with special focus on the post-NIL law era. The analysis is bolstered by controls for various factors including ESPN’s FPI data, coach and equipment expenditures, and COVID-19 …

Pixel Tracking And Utms: A Study Of Nintendo Co., Ltd., Samantha S. Clevenger

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

Impacts Of Covid-19 On Industrial Growth In The United States, Emily G. Warthman, Charles J. Landis

Williams Honors College, Honors Research Projects

COVID-19 has caused massive ramifications on all parts of life in the world and industry growth/decline is not immune to it. This report will analyze nine different industries’ profit and revenue from quarterly data during the years 2009-2022. Forecast models will be generated using various methods and different techniques of validating to predict the values from Q2 2020- Q4 2022 based on historical data. After which, a comparison will be conducted between those predicted values to the actual average revenue and profit generated by order of greatest error percentage made. Thorough research will then be completed to determine if there …

Optimal Design And Operation Of Integrated Hydrogen Generation And Utilization Plants, Ijiwole Solomon Ijiyinka

Graduate Theses, Dissertations, and Problem Reports (ETD)

There are considerable efforts worldwide for reducing the use of fossil fuel for energy production. While renewable energy sources are being increasingly used, fossil fuel still contribute about 80% of the energy used worldwide. As a result, the level of CO₂ is still increasing fast in the atmosphere currently exceeding about 410 parts per million (ppm). For reducing CO₂ build up in the atmosphere, various approaches are being investigated. For the electric power generation sector, two key approaches are post-combustion CO₂ capture and use of hydrogen as a fuel for power generation. These two solutions can also …

Language Matters: Evaluating How Linguistic And Visual Differences In Financial Documents Impact Financial Reporting In Hospitals, Alicia Irwin

Theses and Dissertations--Accountancy

Hospital financial assistance policies (FAPs) should inform uninsured and under-insured patients about options available to assist with their medical expenses. However, language and visual rhetoric variations in these documents may deter otherwise qualified patients from applying to programs meant to relieve their financial obligations. This project explores how visual rhetoric and linguistic differences such as tone and readability, in financial assistance policy documents may influence community benefit reporting in hospitals as a consequence of patient engagement in the application process.

Visual rhetoric and design, as well as linguistic style variation can have a profound impact on program utilization and financial …

Ads-B Communication Interference In Air Traffic Management, George Ray

International Journal of Aviation, Aeronautics, and Aerospace

Automated Dependent Surveillance Broadcast (ADS-B) provides position and state information about aircraft and is becoming an essential component in the global air traffic management system. ADS-B transponders broadcast this key information on a common frequency to both other aircraft and to secondary surveillance radar systems located at ground stations. Both the aircraft transponders and the ground stations work together to assist in managing the commercial airspace. Since the aircraft transponders all broadcast on the same frequency and are in close proximity there is an apparent risk of interference and the garbling of the communications needed to manage the airspace.

The …

Establishing A Market Capacity And Economic Baseline For Forest Biomass Utilization In The Southern Cascade And Northern Sierra Nevada Mountain Range, California, Clarke Stevenson

Cal Poly Humboldt theses and projects

Attempts to address wildfire risk and forest resilience have increased substantially over the last 20 years with specific interest in removing excess vegetation from stands, commonly referred to as “forest biomass”. However, the market capacity for and the economics of biomass utilization have been a limiting factor to achieving statewide goals for forest health and fire resilience. This thesis looks at the Southern Cascade and Northern Sierra Nevada biomass supply chain to benchmark current market capacity for biomass utilization through mapping and harvest record analysis. It also calculates the net revenue of biomass mobilization based on costs developed from a …

Esg And Intellectual Capital Efficiency: Evidence From Asean Emerging Markets, Etikah Karyani, Muhamad Resa Perdiansyah

Jurnal Akuntansi dan Keuangan Indonesia

This study aims to investigate the impacts of Environmental, Social, and Governance (ESG) in total and individual performance (“E”, “S”, and “G”) on firms’ intellectual capital (IC) efficiency. The Value-Added Intellectual Coefficient (VAIC) and Modified Value-Added Intellectual Coefficient (MVAIC) were used to measure IC efficiency. Meanwhile, the annual ESG index data from the ASEAN-4 were used to measure ESG from 2015 to 2020. The results show “E”, “S”, and “G” and total ESG positively affect firms’ efficiency in managing IC. In addition, the industry type moderates these relationships in terms of that banks have a greater influence than non-banks. Our …