Portfolio and Security Analysis Commons^™

Ai-Scm Cmm: A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines, Omar F. El-Gayar, Patti Brooks, Insu Park

Annual Research Symposium

Artificial intelligence is increasingly deployed in supply chain management, yet many organizations struggle to align adoption efforts with process readiness, data quality, governance, and workforce capabilities, and they still lack validated supply chain specific roadmap for assessing readiness, sequencing investments, and reducing implementation risk. This study develops and evaluates a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management to address that gap. Using a design science research approach, the study synthesizes prior literature and practitioner knowledge to define maturity dimensions, capability indicators, and staged progression levels for AI integration in supply chain contexts. The artifact and assessment …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Experimental Methods In Predicting Market Drift And Other Portfolio Optimization Factors Using Graph Theory, Perry Harrison Zhang

Computer Science Senior Theses

No abstract provided.

Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil

Theses and Dissertations

Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …

Balancing Perspectives: Assessing The Integration Of Ai In Academic Support Within Higher Education, Sami Ali

2024 Spring Honors Capstone Projects - Archive

The rapid advancement of A The rapid proliferation of Artificial Intelligence (AI) across various sectors highlights its transformative potential, yet its integration into educational settings raises ethical concerns, particularly regarding its misuse by students. This study conducts a detailed sentiment analysis and systematic literature review to examine the diverse perspectives on AI within education, from both academic and non-academic viewpoints. Utilizing advanced data mining tools to analyze sentiments and trends, this research reveals a complex landscape where optimism about AI’s capabilities is tempered by concerns over ethical implications and potential misuse. The findings contribute to the dialogue on leveraging AI …

Project Planning And Control, Burim Isa Berisha Dr.Sc

International Journal of Business and Technology

Operations management is important because it relates to the creation of products and services on which we are all dependent. Operations management is also quite motivating; operations are the center of many changes that affect business - changes in customer preferences, changes in the supply chain caused by technologies based on the businesses where we work, where we want to work and so on.

Operations Management includes the role of operations management, the various characteristics of processes, management activities, the responsibilities of managers, and the timely evolution of Operations Management.

Operations Management is a constant change, fostering creativity which allows …

Management Of Small Enterprises And Family Businesses In The Republic Of Kosovo, Burim Isa Berisha Dr.Sc, Burim Berisha B.B

International Journal of Business and Technology

Small businesses represent the driving force of an economy. They are the key that enables the production and marketing of thousands of products and services thus becoming the basis for a sound economic development. Consequently, small businesses are of vital importance to the economy.

Small business is a generator of innovation and a source of new jobs. The trend shows that small businesses are the backbone of all developments and movements in the economic system.

The small business scope is present in almost every pore of social and economic life.

According to the Statistical Register for Businesses, there are 9,358 …

Active Learning With Cybersecurity, Carole Shook

TFSC Publications and Presentations

A global campus grant was obtained in Spring 2020 to develop modules for Cybersecurity. This presentation encompasses the use of Cyberciege and case studies that require active learning of students.

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

A False Sense Of Security: How Congress And The Sec Are Dropping The Ball On Cryptocurrency, Tessa E. Shurr

Dickinson Law Review (2017-Present)

Today, companies use blockchain technology and digital assets for a variety of purposes. This Comment analyzes the digital token. If the Securities and Exchange Commission (SEC) views a digital token as a security, then the issuer of the digital token must comply with the registration and extensive disclosure requirements of federal securities laws.

To determine whether a digital asset is a security, the SEC relies on the test that the Supreme Court established in SEC v. W.J. Howey Co. Rather than enforcing a statute or agency rule, the SEC enforces securities laws by applying the Howey test on a fact-intensive …

Strategic Implications Of Blockchain, William R. Adams

Marriott Student Review

This thesis introduces blockchain, the underlying technology of cryptocurrencies such as Bitcoin, and discusses how best to conceptualize it relative to other technologies. Following an explanation of the fundamentals of blockchain, also known as the distributed ledger, I identify the characteristics of the technology. Building upon blockchain’s inherent strengths and limitations, I explore potential business applications of blockchain. Finally, I recommend that leaders continue to track the development and adoption of blockchain technology, even if they decide that implementing it does not align with their organization’s strategy at present.

Geopolitics Of Rare Earth Elements, Bert Chapman

Libraries Faculty and Staff Presentations

Rare earth elements (REE) contain unique chemical physical properties such as lanthamum, are found in small concentrations, need extensive precise properties to separate, and are critical components of modern technologies such as laser guidance systems, personal electronics such as IPhones, satellites, and military weapons systems as varied as Virginia-class fast attack submarines, DDG-51 Aegis destroyers, the F-35 Joint Strike Fighter, and precision guided munitions. The U.S. has some rare earth resources, but is heavily dependent on access to them from countries as varied as Afghanistan, Bolivia, and China. Losing access to these resources would have significant adverse economic, military, and …

Portfolio Risk-Return Analysis: The Case Of The Automotive Industry In The Czech Republic, Florin Aliu, Drahomira Pavelkova, Bruce Dehning

Accounting Faculty Articles and Research

Risk has always been the concern of managers and shareholders as a part of decision-making processes. Managers tend to control unsystematic risk mostly while trying to minimize the exposure to systematic (market) risk. The paper aims to assess the risk level and risk-return tradeoffs for the companies operating in Czech automotive industry. A diversification formula and calculation of returns using return-on-equity were employed on the yearly basis from 2005 till 2014. The returns and risk calculations were conducted on the portfolio of auto manufacturers, followed by the portfolio of auto suppliers, while the third one was performed for suppliers and …

Trading Ahead Of Bad News: Evidence From Short-Sales Of Stocks And The Options Market, Nicholas E. Macksoud

Business and Economics Honors Papers

Throughout the past ten years, the United States Environmental Protection Agency (EPA) has issued hundreds of enforcement actions in the electric, natural gas, and petroleum industries. The vast majority of these citations have been violations of environmental statutes, notably the Clean Air Act (CAA) and the Clean Water Act (CWA). My research evaluates the timing of informed investors’ actions pertaining to the public release of these EPA announcements. Since informed traders have much more leverage in the options market, there seems likely to be a concentration of abnormal put option activity shortly before the time in which the announcements reach …

Informational Efficiency And The Reaction To Terrorism: A Financial Perspective, Nicholas Roland

Honors Undergraduate Theses

The purpose of this study is to measure the message terror organizations hope to convey using the financial markets as a proxy of measurement to determine patterns within the marketplace and the effects on the terrorists’ ability to deliver a desired message due to the increased use of digital devices and access to instantaneous news, seen over the past decade. Using death count, geographic location, and event type, this study identified 109 attacks between 1985 and 2015 to be analyzed against 5 market indices and 5 securities. Measuring the effects within a 10-day sample window from the time of the …

Lessons From The Flash Crash For The Regulation Of High-Frequency Traders, Edgar Ortega Barrales

Fordham Journal of Corporate & Financial Law

Are equity markets vulnerable to a sudden collapse if the traders who account for about half of the volume have no regulatory obligations to stabilize prices? After the “Flash Crash” of May 6, 2010, policymakers have resoundingly answered this question in the affirmative. During the worst of the crash, some of the so-called high-frequency trading firms that dominate equity markets stopped trading and prices collapsed, momentarily wiping out almost $1 trillion in market value. In response, the U.S. Securities and Exchange Commission is considering whether high-frequency trading firms should be required to act as the traders of last resort. This …

Using Van Valens Procedure In Business Research To Assess Consistent Differences In Multidimensional Variability In Two Or More Groups, Mark L. Berenson, Kimberly Killmer Hollister

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

Much business research involves comparisons in two or more groups on many dimensions. This paper primarily focuses on demonstrating and providing guidance as to how researchers should approach a multivariate analysis in the comparison of sets of corresponding characteristics in two or more independent groups. In particular, this paper demonstrates the utility of a simple but not widely known procedure developed by Van Valen (1978) that should be employed to test for the significance of differences in overall variability in the sets of corresponding characteristics in two or more groups, a test that enjoys much statistical power in detecting significant …