Business Intelligence Commons^™

An Analysis Of Security Risks Posed By Text-Based Generative Ai And Corporate Security Weaknesses Leading To Data Leaks, Tashya Rakshana Byreddy

Electronic Theses, Projects, and Dissertations

ABSTRACT

Generative AI (GenAI) has become a fundamental part of modern life, influencing how we work, learn, and interact with technology. This project focuses specifically on text-based GenAI, which is widely used for tasks such as information gathering, code improvement, and content creation. Despite its benefits, it presents significant security risks that are often underestimated by users. This project investigates these risks and the corporate security gaps that lead to unintentional data leaks. The project also provides a brief overview of Large Language Models (LLMs), which are based on the deep learning technique known as Transformer architecture, used for performing …

Comparative Assessment Of Machine Learning And Deep Learning Models For Drug Effectiveness Using Sentiment Analysis, Blessing Ogechukwu Nwogu

Electronic Theses, Projects, and Dissertations

In recent years, the proliferation of online patient-generated drug reviews has created a valuable resource for assessing drug effectiveness and patient satisfaction, with sentiment analysis emerging as a powerful tool for extracting insights from this unstructured data.

This culminating research project conducted a comparative analysis of traditional Machine Learning (ML) and Deep Learning (DL) models for assessing drug effectiveness using sentiment analysis of participant reviews. The research aimed to evaluate the performance of Support Vector Machine (SVM), XGBoost, Random Forest, Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) models in this context. This culminating research project addressed …

Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey

All Theses

This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …

Using Ai Tools To Unmask Sarcasm, Sidra Tehniyath Lnu

Electronic Theses, Projects, and Dissertations

Sarcasm can be identified in newspaper headlines in digital communication, as it is contextual and has low inter- and intra-observer reliability. This research aims to improve sarcastic comment identification using a natural language processing approach, especially the BI-LSTM. The primary concern is to use fine-tuning methods to enhance the ways that strengthen the sarcasm identification rate, which regards the factors that complicate an automatic identification process. The study explores the impact of techniques such as early stopping, optimal loss function selection, and hyperparameter tuning to enhance the model's performance. The research questions are: Q1) How can fine-tuning techniques for BI-LSTM …

Navigating The Landscape: Perceptions, Motivations, And The Journey Of Data Professionals In Implementing Data Processes And Procedures, Willie Rivers

Dissertations

This explanatory study investigates the motivations behind data professionals' willingness or resistance to implementing data policies and procedures, utilizing the Theory of Planned Behavior and Psychological Ownership as frameworks. Through interviews with 21 data professionals, the research explains how factors such as perceived control, ownership, and attitudes towards data processes influence their motivation. The study tests key propositions, including the impact of perceived time burdens, bureaucratic procedures, and organizational expectations on data governance engagement. The findings underscore the critical role of control and access to information in motivating the adoption of data policies, providing insights for organizations aiming to enhance …

Ensuring Packaging Accessibility For Those With Red-Green Colorblindness: A Case Study, Perian Reese, R. Andrew Hurley, George Cavender

Journal of Applied Packaging Research

Red-green colorblindness is widespread, affecting up to 8% of men and 0.5% of women, primarily among those of Northern European descent [1]. This color vision deficiency often results in profound difficulty distinguishing between red and green. Medically speaking, the condition is most commonly caused by one of two conditions- protanopia or deuteranopia. Protanopia is the lack of red photoreceptors in the retina, while deuteranopia is the lack of green photoreceptors [1]. For people suffering from this condition, there are certain graphics and images that they may have difficulty understanding or seeing as intended. Given the large number of people affected …

Course-Skill Atlas: A National Longitudinal Dataset Of Skills Taught In U.S. Higher Education Curricula, Alireza Javadian Sabet, Sarah H. Bana, Renzhe Yu, Morgan R. Frank

Economics Faculty Articles and Research

Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce. While researchers and practitioners have developed data systems to track detailed occupational skills, such as those established by the U.S. Department of Labor (DOL), much less effort has been made to document which of these skills are being developed in higher education at a similar granularity. Here, we fill this gap by presenting Course-Skill Atlas – a longitudinal dataset of skills inferred from over three million course syllabi taught at nearly three thousand U.S. higher education institutions. To …

Feasibility Of Creating A Non-Profit And Nongovernmental Organization Cybersecurity Incident Dataset Repository Using Osint, Stanley Mierzwa, Iassen Christov

Center for Cybersecurity

Organizations of all types are prone to cybersecurity and information security attacks. Non-Profit Organizations (NPOs) and Non-Governmental Organizations (NGOs) are not exempt from using information technology solutions and, thus, have been the recipient victims of cyber attackers. There exist many areas and venues where data are collected to report back annually on the status and numbers of cybersecurity attacks against many sectors of our society. The Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) catalogs sixteen critical sectors that are considered vital to the United States. However, finding where the NPO and NGO community should reside with …

Selected U.S. Government Statistical Agencies And Their Data, Bert Chapman

Libraries Faculty and Staff Presentations

Provides introductory and detailed overview of U.S. Government agencies statistics. Includes examples of how an individual U.S. law authorizes government agencies to compile statistics for particular congressional committees and the general public. Statistics cover topics such as demography, defense, foreign assistance, economic growth, criminal justice, energy, Social Security, and Medicare.

Advancing Sustainable Investing: A Deep Learning Model For Multi-Source Stock Prediction, Hongxuan Yu, Tingting Zhang, Murat Kizildag

Journal of Global Business Insights

The burgeoning role of the stock market within the national economy elevates the importance of precise stock price analysis and prediction, a field that has garnered substantial interest in academic research. Stock price fluctuations, influenced by many factors, including company fundamentals, market sentiment, capital flows, industry news, and macroeconomic policies, present a highly dynamic and complex challenge for predictive modeling. Addressing this challenge, our study introduces an innovative method that capitalizes on the synthesis of news text and stock price data for forecasting market movements. We employ GloVe embeddings to capture semantic nuances from news text and integrate them with …

Who Are You Rooting For? T20 Cricket World Cup 2024, Usa & Wi, Purvesh Desai

Dissertations, Theses, and Capstone Projects

The T20 Cricket World Cup '24 played in USA & WI will bring immense excitement to the cricket lovers around the world and have a question to themselves “Who shall I Root for?” How do people or fans support their favorite teams and on what criteria do they pick these teams will discuss in here.

Patriotism, tradition, and favorite individual players, are the main reasons for the fans to choose their and support the team. Nation is the biggest pride of an individual and many people choose their pride over everything. People celebrate when the home team plays on the …

Faids: Artificial Intelligence Developmental Systems Framework For Predicting And Preventing Cyberattacks In Supply Chain Networks, Lordt Becklines

Research & Publications

Cyber threats and attacks disrupt and damages supply chain networks (SCNs), which are complex and interlinked. Current methods to predict and prevent cyberattacks are inadequate and ineffective. This research proposes an AI developmental systems framework (FAIDS) to protect SCNs from cyberattacks. The framework has four components: (1) an AI threat intelligence system; (2) an AI risk assessment system; (3) an AI decision support system; and (4) an AI learning and adaptation system. The framework is tested on a simulated retail SCN. The results show that the framework can predict and prevent cyberattacks and improve the network's resilience and security. The …

Human-Ai Collaboration In Project Management, Tanisha Singh

Harrisburg University Dissertations and Theses

The integration of Artificial Intelligence (AI) into project management has emerged as a transformative trend, promising enhanced efficiency and strategic capabilities. This study explores the dynamics of human-AI collaboration in project management, focusing on factors that influence effective implementation, the impact of AI on project outcomes, and the challenges encountered in AI adoption. Utilizing a qualitative approach, data were collected from project management professionals across various industries, revealing that trust and transparency are crucial for successful collaboration. The findings indicate that AI positively impacts project efficiency and cost-effectiveness by automating routine tasks and optimizing resource allocation. However, challenges such as …

A Business Model For Communication Design Enterprises (Paper), Con Kennedy

Academic Articles

Several international reports and studies indicate that the Communication Design sector has a skill deficit in entrepreneurship and business management, and a greater understanding of these topics is needed. Some authors advocate applying existing business models for design enterprises. However, the skill deficit prevails. It is worth noting that these reports discuss the entrepreneurship deficit in general terms without an explanation of the causes of this deficit or how to remedy the issue. Therefore, this paper explores the development of a Business Model specific for Design Entrepreneurs for deployment in Communication Design enterprises. A theoretical framework for a specific business …

Using Keyword Analysis For Market Validation Research, Zoeanna A. Mayhook

Libraries Faculty and Staff Scholarship and Research

Market validation is essential for assessing the feasibility of a business idea, product, or service but can involve extensive and costly primary and secondary research. Business librarians are well-positioned to support entrepreneurs and researchers but may be constrained by pricey subscriptions for business resources. While most often associated with search engine marketing, keyword research proves to be beneficial for market validation. This paper proposes integrating keyword analysis into market validation practices. It outlines the process of conducting keyword analysis and opportunities for business librarians to incorporate these strategies in their resource guides and programming.

Corn Leaf Disease Prediction Using Deep Learning, Meghana Varayuri

Electronic Theses, Projects, and Dissertations

Corn is a widely cultivated agricultural product, serving as a cornerstone in food production and industrial applications such as biofuels, playing a crucial role in the global economy. This study explores the application of deep transfer learning to accurately classify major corn diseases from leaf images, aiming to enhance disease management strategies for improved agricultural productivity and sustainability. The customized Dense net 201 model achieved 95% prediction accuracy on an untrained dataset. Data augmentation improved the model’s accuracy from 91% to 95%. This supervised learning approach enhances the model’s performance by increasing the diversity, leading to better generalization and accuracy. …

Understanding The Dynamics Of Chatbot Design, Transparency, And Ethical Implications In Customer–Brand Relationship In Hospitality And Tourism Industry, Shakera Parveen

Electronic Theses, Projects, and Dissertations

This culminating experience project investigated the impact of chatbot interactions on customer perceptions, ethical considerations, and transparency within the hospitality and tourism industry. The research questions are: Q1: how do the specific visual and verbal aspects contribute to shaping customer perceptions within the context of chatbot marketing efforts? Q2: what steps can companies take to address and mitigate ethical concerns surrounding interactions with chatbots? Q3: To what extent does the level of transparency and explainability in chatbot interactions influence customer trust and satisfaction? The findings are: Q1: the study revealed that visual and verbal aspects of chatbot design significantly shape …

The Effects Of Using Artificial Intelligence Techniques In The Security Work System, Abdalla Alnaqbi

Journal of Police and Legal Sciences

The goal of the research is to shed light on the techniques of artificial intelligence in the work of experts and groups, and to achieve this goal by seeking to search for the concept of artificial intelligence, as well as the classification of artificial intelligence, and clarifying the role of artificial intelligence in organizations and bodies, and it also reached the definition of the positive and cooperative effects of artificial intelligence in... the job. And the. The researcher followed the descriptive model of analysis in order to achieve the objectives of the study, and the study reached one of the …

Digital Transformation And Wise Leadership: Challenges And Opportunities Evidence From Government Institutions In Uae, Mohammad Al Qudah

Journal of Police and Legal Sciences

Purpose: the current study aimed at highlighting challenges and opportunities associated with digital transformation (DT) and the influence of these challenges and opportunities in wise leadership. Aspects taken into perspective included (decision-making, communication and collaboration, innovation, employee empowerment and ethical considerations).

Methodology: the study adopted the quantitative methodology through utilizing a questionnaire. The questionnaire was self-administered by (223) individuals from UAE governmental institutions. Statistical package for social sciences (SPSS) was employed in order to answer the study main questions and realize the hypotheses.

Results: Study indicated that adopting DT through the UAE governmental institutions is basically exposed to many challenges …

A Workplace Security Framework: Mitigating Employee-Related Threats, Alan Saquella

Publications

In the modern discussion on workplace security, the focus often centers around preventing active shootings and violence stemming from terminated or disgruntled employees. The article “Publicly Humiliating Events: A Precursor to Workplace Violence” by Karie Gibson, Lauren Brubaker and Andre Simons rightly highlights the crucial role that public humiliation plays in triggering such violent acts. However, beyond the immediate threat of homicide, there exists a broader spectrum of potential risks posed by former employees, including acts of sabotage, espionage, vandalism and cyberattacks, all of which demand attention and proactive measures from security professionals.