Business Analytics Commons^™

Henderson Named One Of The Most Influential People In Legal Education, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

Indiana University Maurer School of Law Professor Bill Henderson has once again been recognized as one of the most influential people in legal education, but he’s not the only one with ties to the Law School on this year’s list.

The National Jurist ranked Henderson #18 on its list. Kellye Testy, a 1991 alumna of the Law School and president and CEO of the Law School Admission Council, is ranked second.

2023-2024 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2023-2024 Audit Report for Morehead State University.

Digital Genome And Self-Regulating Distributed Software Applications With Associative Memory And Event-Driven History, Rao Mikkilineni, W. Patrick Kelly, Gideon Crawley

Barowsky School of Business | Faculty Scholarship

Biological systems have a unique ability inherited through their genome. It allows them to build, operate, and manage a society of cells with complex organizational structures, where autonomous components execute specific tasks and collaborate in groups to fulfill systemic goals with shared knowledge. The system receives information from various senses, makes sense of what is being observed, and acts using its experience while the observations are still in progress. We use the General Theory of Information (GTI) to implement a digital genome, specifying the operational processes that design, deploy, operate, and manage a cloud-agnostic distributed application that is independent of …

Machine Intelligence With Associative Memory And Event-Driven Transaction History, Rao Mikkilineni, W. Patrick Kelly

Barowsky School of Business | Faculty Scholarship

Digital machine intelligence has evolved from its inception in the form of computation of numbers to AI, which is centered around performing cognitive tasks that humans can perform, such as predictive reasoning or complex calculations. The state of the art includes tasks that are easily described by a list of formal, mathematical rules or a sequence of event-driven actions such as modeling, simulation, business workflows, interaction with devices, etc., and also tasks that are easy to do “intuitively”, but are hard to describe formally or as a sequence of event-driven actions such as recognizing spoken words or faces. While these …

The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman

Finance, Economics, and Data Analytics

The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …

Supply Chain Centrality, Cyber Risk And Supply Chain It Governance, Long Bui

Accounting Dissertations - Archive

In my dissertation, I examine how a firm's position in the supply chain information network affects its cyber risk exposure and cyber risk management. First, I document that firms that are more central in the supply chain information network have higher cyber risk exposure. Second, the positive association between firm centrality and cyber risk is mitigated by both the IT governance strength of the focal firm and its supply chain partners. Third, the exposure to cyber-attacks through supply chain information networks also has several implications on corporate policies. I find that managers of more central firms are more likely to …

Risk Management Practices In The Aviation Industry: Lessons Learned And Effective Tools… A Mixed Method Approach, Jim W. Marion Jr. Phd, Tracey M. Richardson, Valerie Denney, Carlos Chaves

International Journal of Aviation, Aeronautics, and Aerospace

This paper provides a data-driven approach to apply lessons learned from Project Risk Management in the aviation industry. This is accomplished by performing a qualitative analysis to inform a second-pass quantitative analysis using tools like surveys, word clods and analysis through NVivo and Singular Value Decomposition (SVD). The results of this analysis show that the most important lessons are elements of early identification, rigorous risk identification and analysis and a focus on reducing risks inherent within the aviation history. Furthermore, the analysis yielded the following top tools for risks management within their phases of the project life-cycle: document review, checklists …

Nike's Product Recommendation System And Incorporation Of Ai, Quinton Truman Lamers

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

A Comprehensive Study Of Patent Litigation In The Pharmaceutical Sector: Employing Network Theories, Graph Neural Networks, Agent Based Modeling, Bayesian Network Autocorrelation Models, Sreehas Gopinathan

Information Systems & Operations Management Dissertations - Archive

Understanding the dynamics and predictors of patent litigation is crucial in intellectual property management, especially given the competitive edge patents offer companies. Also, patents serve as both legal tools and repositories of innovation. This research delves into the complex world of patent litigation within the pharmaceutical industry, focusing on creating and applying advanced computational models to study litigation propensities. Techniques such as Graph Neural Networks (GNN), Agent-Based Modeling (ABM), and Bayesian Analysis of Network Autocorrelation Models (BANAM) are employed to explore the litigation phenomenon

"Reconstitute": Business Plan Of A Start-Up Art Invsetment Bussiness: Artvest, Jianing Wang

MA Projects

Art is still used as a financial hedge in times of economic uncertainty. According to Artnet’s Financial Art Index, “The art market outperformed the S&P 500 from January 2022 to July 2023, with art returns rising by 4.2% in nominal terms, while the S&P 500 lost 6.6% during the same period.” 1 Although we are currently in a period of uncertainty about the future global economic outlook, the impact of fluctuations in art prices is relatively low. ArtVest will establish against post-pandemic New York in 2024, seamlessly bridging the realms of art and investment. ArtVest recognizes the potential in the …

The Moment Of Beijing, Zhang Yue

MA Projects

After a complete COVID-19 lockdown of three years, most Chinese people crave opportunities to replenish their already waned and suffocated needs in the cultural and artistic realm (21st Century Economy, 2023). Seeking this invaluable time to enhance city influence and cultural image, major metropolises, especially Beijing, actively appeal to various exhibitions, shows, and cultural tourism resorts. The scope is almost unprecedented: cultural tourism, music, art, fine art, creative art, and traditional produce harmoniously integrate and captivate thousands of people. People’s need for art and culture is here, and Beijing is ready to make full strides. It is at this critical …

Consumer Liability And Firm Responsiveness: Evidence From Automobile Recalls, Kashef Abdul Majid, Hari Bapuji

Business

Regulations for product recalls differ internationally. In some countries, the responsibility rests entirely with manufacturers to quickly take corrective measures to ensure consumer safety. In other countries, penalties may also be imposed on consumers who persist in using products that have been recalled. We hypothesize that firm responsiveness (as measured by the time between the product release and the recall) will be higher in markets where product safety regulations that include consumer liability than in markets where product safety regulations focus solely on firms, and that firms that standardize their vehicles across such markets become more responsive in both those …

A Review On Machine Learning Methods For Customer Churn Prediction And Recommendations For Business Practitioners, Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo

Articles

Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer base and sustain business growth. This research scrutinizes 212 published articles from 2015 to 2023, delving into customer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of churn prediction models comprehensively, contrary to published reviews, which focus on some aspects of churn prediction, such as model development, feature engineering and model evaluation using traditional machine learning-based evaluation metrics. The review emphasises …

A Comprehensive Investigation Of Shipping Business Performance And Corporate Governance Towards Maritime Sustainable Development, Evangelos Darousos

World Maritime University Ph.D. Dissertations

Shipping has always been associated with worldwide socioeconomic advancement, and it continues to be responsible for transporting 80% of all international trade. The shipping industry is undoubtedly one of the most globalized, and as such, it is governed by a comprehensive and dynamic regulatory framework that prioritizes the preservation of the maritime and coastal environment, the safety and security of the crew members and the vessels as primary company assets, and the proper conduct of all shipping operations. Nevertheless, there are frequently significant barriers to the adoption of practices allowing for the sustainable development of the shipping industry, a continuous …

Vol. 23, Issue 1 - Table Of Contents

Journal of Economics and Finance Education

No abstract provided.

Mechanism Design For Optimizing On-Chain Sell Order In Market Without Market Maker, Nico Pei

CMC Senior Theses

The absence of market makers alters the microstructure of the market. It’s difficult to get exposed to time-weighted prices in markets without market makers. In this paper, we delve into three mechanism designs – discrete gradual dutch auction, continuous gradual dutch auction, and variable rate gradual dutch auction – to study how to execute time-weighted sell orders on blockchain in a market without market makers. To make it simpler for readers to understand, we imagine an example of helping a close friend of Picasso to sell his 100 Picasso paintings in the next 10 years since 1970, with the private …

Netflix And Their Customer Acquisition Model, Maximus Drew

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

How Company Age Affects Esg Ratings, Jonathan Thomas

Honors Program Theses

As environmental, social, and governance, or ESG, has only gained prominence in the 21st century, a great host of data has become available from company’s sustainability reports which have yet to be fully analyzed. This paper examines the ESG ratings of publicly traded companies based on the different ages of the companies, Using company founding dates from FactSet Research Systems Inc. and ESG ratings from HIP Investor Inc. on companies that the agency evaluates, the average ESG ratings of companies were compared between four groups of companies divided based on their ages to determine whether results vary for the different …

Impact Of Financial Management System On Organizational Accountability And Responsibility: A Study Of Corporate Entities, Nur Farhanah Binti Marjuni, Junaid M. Shaikh

ASEAN Journal on Science and Technology for Development

This research investigates the impact of Financial Management Systems (FMS) on organizational accountability and responsibility in Brunei's manufacturing sector, utilizing a mixed-methods approach that includes primary data collected through questionnaires distributed to 41 local manufacturing companies and supplemented by secondary data from other ASEAN countries for comparative analysis. The primary focus is to assess the awareness and significance of efficient FMS implementation. Findings demonstrate a substantial influence of FMS on organizational accountability and responsibility, supported by an analysis of primary and secondary data from the ASEAN region. Nevertheless, this study acknowledges limitations such as its exclusive focus on Brunei and …

Milk Collection Problem: Integrating The Traveling Salesman And Set Covering Problem - A Case Study In West Virginia, Usa, Md Rabiul Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Route determination for perishable products is complex due to its unique characteristics, such as limited shelf-life regulatory requirements, or possibility of getting damaged. This research investigates a novel problem of collecting raw milk from a rural network of dairy farms. The research problem is grounded in a real scenario of milk collection in West Virginia, USA. The milk in this scenario is produced by small farms incapable of realizing transportation economies of density out in mostly rural areas throughout the state. Maximum coverage area and milk processing overhead costs are used to identify suitable locations for intermediate milk collection centers …

Honors Project Hartville Potato Chips (Final) - College Of Business - Team 5 (Marketing Partnerchip), Isabela Schroeter, Justin Kriess, Trent Thomas, Devin Maddox, Irina Hacck, Jake Lubic

Williams Honors College, Honors Research Projects

TO EXPAND THE HARTVILLE POTATO CHIP COMPANY BRAND IN A WAY THAT WILL CREATE A UNIQUE POSITION IN THE MIND OF THE CONSUMER.

Regional Price Index 2023, Department Of Primary Industries And Regional Development, Western Australia

Statistics

The 2023 Regional Price Index (RPI) is the eleventh State Government Index contrasting the cost of a common basket of goods and services at a number of regional locations to the Perth metropolitan region. The RPI is used as the basis for the construction of the public sector district allowance, and by the private sector when considering remuneration packages for remotely located staff.

The RPI provides an insight into differences in regional consumer costs. The 2023 RPI basket of 185 goods and services was priced in 39 regional centres around Western Australia.

The 2023 RPI results show that, overall, prices …

Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco

Journal of International Technology and Information Management

Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …

Justifying The Cost Of Implementing Contactless Travel In Non-Primary Airports: A European Perspective, Sumeet Hassan Anwar Mr., Humna Asad Miss

International Journal of Aviation, Aeronautics, and Aerospace

In the wake of the COVID-19 pandemic, the aviation industry faces an unprecedented push towards digital transformation. This paper delves into the economic, operational, and safety imperatives of implementing contactless travel solutions in Europe's non-primary airports. By juxtaposing the substantial upfront costs against the long-term operational savings and improved passenger experience, the study presents a compelling financial justification for such investments. Drawing on case studies and current trends, the research demonstrates that, despite initial expenditures, the adoption of contactless technology is a prudent strategy that aligns with evolving consumer preferences and the heightened need for efficiency and safety. The paper …

Tracking Social Media Conversations On Extreme Weather Discussion: A Longitudinal Analysis, James Chen, Suhong Li

Information Systems and Analytics Department Faculty Journal Articles

With the increasing number of extreme weather events and various disasters, people are paying more attention to environmental issues than ever, particularly global warming. Public debate on it has grown on various platforms, including newspapers and social media. This study examines emotions of the general public on global warming in the context of extreme weather events, how emotions differ by location and the change of emotion on those topics over the time. Topic modeling is used to reveal dominant topics for each type of extreme weather. The results show that discussions on Twitter predominantly focus on floods and drought/heatwaves. There …

University Student Worker Productivity: A Qualitative Analysis, Amanda S. Mansfield

Murray State Theses and Dissertations

Student worker productivity is an important aspect of higher education, since many functional units rely on student employees to operate. Student workers communicate with all stakeholders of universities, including incoming and current students and their families, alumni, faculty, staff, and community members. Universities facing issues related to budgeting, enrollment, retention, and employability of their graduates can combat those issues by strengthening the largest labor pool on campus, student workers. The study explored what it means to be a productive university student worker within the framework of Social Exchange Theory and Grounded Theory. The study sought to provide recommendations to universities …

Trust In E-Commerce And Its Impact On Digital Marketing Strategies, Akshay Tailor

Theses and Dissertations

Background: The rise of e-commerce has transformed consumer behavior, with trust playing a critical role in determining the success of online platforms. Prior research suggests that privacy and security concerns, as well as transparency and social proof, significantly affect consumer trust in e-commerce. This study aimed to investigate how strong security measures, privacy safeguards, and social media marketing initiatives influence consumer trust and purchasing decisions in e-commerce environments.

Methods: A survey was conducted with 232 students from Illinois State University, focusing on key factors such as privacy protection, security, transparency, and social proof. The survey used a Likert scale to …

From Technical Resolution To Agile Evolution: A Blended Role At Humane Interface Design Enterprise (Hide), Ketansingh Anil Patil

Dissertations, Master's Theses and Master's Reports

This report provides a comprehensive overview of my journey through two distinct roles at the Humane Interface Design Enterprise (HIDE) - as a Technical Consultant in Spring 2023 and an Agile Process Analyst in Fall 2023. My tenure as a Technical Consultant was marked by the application of academic knowledge and technical skills to tackle real-world challenges at HIDE, leveraging experiences from my capstone projects and my roles in the industry as an IT Analyst Intern at Milwaukee Tool and a Data Engineer at UST. This role at HIDE enhanced my problem-solving skills and contributed to the progress of the …

Artificial Intelligence In Stock Analysis And Portfolio Building, Sean M. Lynch

Honors Theses and Capstones

The emergence of artificial intelligence (AI) investment analysts, often referred to as “robo-advisors”, has the potential to change traditional portfolio management. These systems access vast amounts of data and make portfolio management decisions and stock market predictions. In this study, I compared AI-generated portfolios with portfolios that were created manually. Surprisingly, the human-generated portfolios outperformed the AI portfolios. However, the prompt used in the AI application affects these results. The subset of AI portfolios that were created with specific objectives specified in the prompts outperformed those that were created with more generic prompts. Overall, this research sheds light on the …

Factors Influencing Anticipated Migration Patterns Across Metropolitan Cities In The United States Between 2018 And 2022, Vinayaka Gude, Ricardo Melendez, Md Monirul Islam

Faculty Publications

The COVID-19 pandemic has impacted people’s lives in various cities across the United States. This study explored the factors influencing anticipated migration patterns as indicated by the house search on the Redfin platform in 132 United States cities before, during, and after the COVID-19 Pandemic. The research addresses a crucial gap in the existing literature on recent trends in migration patterns, factors influencing this, and the potential impact of the pandemic. We employed a multivariate regression model to study overall migration and additional models to examine yearly data, identifying key factors that drive people to relocate. We identified that regions …