Business Intelligence Commons^™

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 …

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 …

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 …

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.

Assessing Smart Nation Singapore As An International Model For Ai Responsibility, Philip L. Frana

International Journal on Responsibility

While AI and other smart technologies greatly contribute to material aspects of well-being, there are concerns that they threaten quality of life in Singapore. Smart technologies and digital governance have freed up labor for activities where human empathy and understanding are unique and indispensable, but also threaten to undermine human dignity and accountability. This paper undertakes a comprehensive assessment of Singapore as an international model for AI responsibility from the perspective of the history and philosophy of technological governance. It examines the evolution of regulatory frameworks, ethical considerations, and key legal documents and social initiatives shaping the nation’s approach to …

Importance Of Communication And Emotional Intelligence In People And Project Management In The Banking Industry – A Quantitative Study Of Its Impacts, Monica Kanchan

Harrisburg University Dissertations and Theses

The regulated banking industry is ever-evolving and growing every year. Researchers indicated a close association between strong communication channels, high levels of emotional intelligence, and successful projects and people management. This thesis explores the significance of communication and emotional intelligence in enhancing project management practices in the banking industry. Emotional intelligence has been seen as an important skillset for leadership roles in creating a positive organizational culture, enhancing employee performance, and managing the various intricacies that come with working in a banking firm. Understanding the interplay and impact of these elements can help foster collaboration, motivation, and self-awareness, mitigate challenges, …

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

Computer Science Senior Theses

No abstract provided.

Modeling The Effect Of Population Size On Banking Transaction Channels In Nigeria: Grey Box Vs Support Vector Regression, Desmond Bartholomew, Ngozi P. Olewuezi, Chrysogonus C. Nwaigwe, Felix C. Akanno

CBN Journal of Applied Statistics (JAS)

This study investigates the effect of Nigeria’s population on four selected banking transaction channels. The Nigerian projected population (2022-2027) was used as an input variable for forecasting future volumes of transactions for each channel. The results show that the Support Vector Regression (SVR) model best fits the ATM, Online, and USSD channels of transaction while the Grey-box was better for POS. The forecast results show that ATM, online, and USSD channels had their highest volume of transactions in 2023, while for POS, the highest volume was recorded in 2027. Further results indicate that online and POS transactions would dominate payment …

Enhancing Customer Support Operations Through Gpt & Q-Learning: A Model Study, Adam Alidra, Bob O'Brien, Dalton Young

SMU Data Science Review

Abstract. “Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets…” (Cornfield, 2021). What can we take from this? Business growth and customer experience are inextricably tied together. Therefore, thriving, as an organization, is dependent on reimagining enterprise operations through modern, scalable data and AI technologies. Our study aims to enhance support operations with emerging AI capabilities, including OpenAI’s LLM models, built on self-attention mechanism transformer architecture, and tailored for business needs through prompt engineering. Our research uses Markov Decision Process and the Q-learning algorithm to evaluate synthetically created support incidents. Through this set of methods, our …

Financial Assessment Of Executive Decision-Making And Risk Management: A Case Study Of Autozone, Carolina Hollis

Honors Theses

This area of investigation pertains to the business organizational structure, executive summary, and risk management decisions of AutoZone within the 2022-2023 fiscal year. This analysis was performed by examining previous financial records, the yearly 10-K report, and various research databases regarding the financial performance of retail auto part companies. Many different sources were used to gather information about AutoZone. AutoZone has an intricate financial system that maintains the going concern by addressing current issues within the financial world to combat problems they could face in the future. These risk factors include inflation, interest rates, energy prices, political climates, and supply …

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 …