Business Intelligence Commons^™

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 …

Impact Of Leadership In Project Management, Ian Wegh

Information Systems Undergraduate Honors Theses

Today’s business environment demands effective project management for enterprises to meet their goals and continue to be innovative. Inherently, this also means that project managers must have strong leadership skills. Project management provides a framework of techniques that provides a symbiotic relationship between both the framework and the leader. The idea behind project management is to complete objectives efficiently within a certain time period given a restricted number of resources. This means project management is a process of principles, tools, and methodologies used to effectively manage a team through the System Development Life Cycle. The System Development Life Cycle (SDLC) …

The Implications Of Artificial Intelligence On Junior Auditors, Kaye Ragasajo

Senior Honors Theses

The aim of this paper is to explore the evolving intersection of financial statement auditing and artificial intelligence (AI). A timeline of AI adoption in auditing is traced, detailing its impact on audit processes and the contemporary role of junior auditors. Challenges faced by junior auditors are identified, with an emphasis on the potential benefits and ethical concerns surrounding AI integration. Recommendations for adapting to AI's emergence and addressing challenges are provided. The analysis underscores the need for industry-wide collaboration, regulatory adjustments, and the cultivation of digital ethics. As AI continues to reshape auditing, future trends expected within the profession …

Experts-Driven Design: A Framework For Measuring Social Influence In Online Social Networks, Shyamala N. Chalakudi, Dildar Hussain Dr., Gnana Bharathy Dr, Dakshinamurthy Kolluru Dr

Association of Marketing Theory and Practice Proceedings 2024

In our interconnected and ever-changing social landscape, influence is pivotal in molding individuals’ decisions, perspectives, and behaviors. Measuring Social Influence (SI) in Online Social Networks (OSNs) faces significant gaps, notably needing more integration with human behaviors. Our literature review has unveiled twelve psychological theories rooted in human behavior that are fundamental for assessing SI in OSNs. We have further elucidated how human behaviors interact in shaping the influence potential of social media users through exploratory interviews with experts from consulting, industry, and academia. Our study culminated in developing a novel framework designed to encompass the intricacies that not only nurture …

Guinness Is The "Pumpkin Spice Latte" Of St. Patrick's Day, Jin-A Choi, Yi Luo, Bond Benton

School of Communication and Media Scholarship and Creative Works

This study by a team of faculty from the Joetta Di Bella and Fred C. Sautter III Center for Strategic Communication in the School of Communication and Media at Montclair State University shows that Guinness was the most-discussed brand on social media leading up to St. Patrick’s Day, and not just in the traditional ways people share how they drink the popular beer brand. The volume of social media conversations related to Guinness beer and St. Patrick’s Day saw a 25% increase. Most social chats exhibited a happy mood as evidenced by a 62% joyful sentiment.

While the Shamrock Shake …

The Experience Of Knowledge Workers In Remote Environments During The Covid-19 Pandemic, Dale F. Knapp

Doctor of Education Program Dissertations

When regional quarantine restrictions were rapidly implemented in March 2020 due to the COVID-19 pandemic, knowledge workers were forced to vacate their traditional shared office spaces and transition to remote work environments. This unprecedented mass exodus from traditional in-person physical workplaces was facilitated by existing and new software and technology that allowed workers to remain connected and working. This phenomenological study explored the lived experiences and perceptions of knowledge workers who experienced this transition to a full-time remote work environment. The study also examined how knowledge workers perceived work performance relative to their experience during the COVID-19 pandemic. Data were …

Exploring The Challenges And Opportunities Of Mango Export From Indonesia: Insights From Stakeholder Interviews, Adhitya Marendra Kiloes, Daryl Joyce, Ammar Abdul Aziz

The Qualitative Report

Despite being one of the world’s primary producers, Indonesia faces challenges in increasing mango exports. The government has been promoting mango exports to boost economic growth in the agricultural sector. The purpose of this study is to identify opportunities and challenges that are associated with increasing mango exports from Indonesia. We conducted a qualitative assessment through in-depth interviews with 20 Indonesian mango exporters and government officials, to identify opportunities and challenges associated with increasing mango exports from Indonesia. Our findings reveal that the physical qualities demanded by export markets do not significantly differ from those required by modern domestic markets. …

Ai-Assisted Stakeholder Management And Organizational Learning: Evidence From The U.S. Intelligent Service Community, Jiyoon An

Association of Marketing Theory and Practice Proceedings 2024

Artificial intelligence (AI) has changed business practices, including stakeholder management and organizational learning. Scant research attention has been dedicated to examining methodology to implement for workflow-aware and skillset-savvy, AI-assisted stakeholder management. This paper has conducted natural language processing (bigram) and network analysis to understand AI-assisted stakeholder management practices in the U.S. intelligent service community. Theoretical and managerial implications are discussed.

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin

Journal of International Technology and Information Management

Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …

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 …

Una Aproximación A La Causalidad Entre El Consumo De Energía Renovable Y No Renovable, Frente Al Crecimiento Económico: Un Estudio En Países De América Latina Para El Periodo 1990 – 2020, Carlos Andres Gómez Sanguino, Arnaldo José Salgado Ruiz

Maestría en Analítica e Inteligencia de Negocios

Esta investigación analizó el nexo de causalidad entre el consumo de energía renovable, no renovable y el crecimiento económico en cinco países de Latinoamérica durante el periodo de 1990-2020. Con el objetivo de lograr este propósito, se llevaron a cabo una serie de pruebas. En primer lugar, se determinó la naturaleza del panel de datos mediante la prueba de Hausman, que permitió identificar si los efectos eran fijos o aleatorios. Los resultados indicaron que, para los datos analizados, el modelo de efectos fijos era el más apropiado. Una vez establecida la naturaleza del panel, se procedió a la validación de …

Is A Ban On Non-Competes Supported By Empirical Evidence?, Sarah Oh Lam, Thomas Lenard, Scott Wallsten

Fordham Journal of Corporate & Financial Law

The U.S. Federal Trade Commission (FTC) has proposed a rule to declare virtually all non-compete agreements unfair methods of competition under Section 5 of the FTC Act and therefore, illegal. However, the empirical literature on non-compete agreements cited by the FTC in its Notice for Proposed Rulemaking (“NPRM”) shows mixed results on earnings, job creation, firm formation, entrepreneurship, training, investment, and firm value. Evidence in other current studies also does not support an economy-wide ban. The FTC concludes that the proposed rule would yield net benefits even though by its own admission it lacks the information necessary to conduct a …

Loophole Entrepreneurship, Brian M. Sirman

Fordham Journal of Corporate & Financial Law

All entrepreneurs seek favorable legal or regulatory treatment for their businesses. Sometimes this leads an entrepreneur to build a business within a gap in the law—a loophole. In so doing, these “loophole entrepreneurs” may avoid steep regulatory compliance costs that otherwise would beset (or perhaps prohibit) their businesses, thereby gaining advantages over competitors. Despite these benefits, loophole entrepreneurship is fraught with risks. Loopholes, by nature, are fragile, and their contours are often uncertain. Moreover, the stigma of “exploiting a loophole” (which connotes unfairness or deception) can provoke ill will among competitors, policymakers, and the public.

The ranks of loophole entrepreneurs …

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

A Critical Librarianship Approach For Teaching Patent Searching: Who Becomes An Inventor In America?, Dave Zwicky, Ilana Stonebraker

Libraries Faculty and Staff Scholarship and Research

The ways in which a technology is invented, owned, and approved are strongly influenced by the same oppressive and exclusionary structures that critical librarianship interrogates. Patents, limited-term grants of rights to inventions, are issued to inventors in exchange for detailed specifications of the invention. This paper examines current practices used by business librarians in teaching students how to find patents and how these practices could be critically informed given the nature of the United States patent system as it exists today. An output of this work is a suggested lesson plan with recommended resources.

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt

Graduate Theses and Dissertations

This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.

Early-Warning Prediction For Machine Failures In Automated Industries Using Advanced Machine Learning Techniques, Satnam Singh

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect machine failure. The research questions are: Q1) How does the quality of input data, including issues such as outliers, and noise, impact the accuracy and reliability of machine failure prediction models in industrial settings? Q2) How does the integration of SMOTE with feature engineering techniques influence the overall performance of machine learning models in detecting and preventing machine failures? Q3) What is the performance of different machine learning algorithms in predicting machine failures, and which algorithm is the most effective? The research findings are: Q1) Effective outlier …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

United Express Strategic Audit, Ryan Hakim

Honors Theses

United Express is the regional brand of United Airlines, a worldwide airline from the United States. United Express provides excellent domestic and international service from smaller airports to United Airlines hubs. With a volatile and solid industry of vast competition and operational styles, this report seeks to give an industry analysis of the regional airline industry with relation to United Express’ position. It surveys the industry using a PESTLE analysis along with Michael E. Porter’s Five Competitive Forces Model. United Express has many resources and competitive advantages which headline the advantages it boasts to be a regional airline industry leader. …

The Technology, Organization, And Environment Framework For Social Media Analytics In Government: The Cases Of South Africa And Germany, Brenda M. Scholtz, Khulekani Yakobi

The African Journal of Information Systems

This paper investigates factors influencing the adoption of social media analytics (SMA) for citizen relationship management (CzRM). Three real-world cases of government departments, two in South Africa and one in Germany, were investigated, and focus group discussions were conducted. The technological, organizational, and environmental (TOE) theory and qualitative content analysis guided the data analysis. The findings revealed that in all cases, staff usually conducted a manual analysis of social media and SMA had not been implemented sufficiently to realize its full potential. Insights were obtained from TOE and factors were identified that should be considered for improving the planning of …