Digital Commons Network^™

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 …

Harnessing Technology To Solve Social Problems, Ian Hassell

SMU Human Trafficking Data Conference

No abstract provided.

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 …

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 …

Data-Driven Forecasting For Effective Demand Management In The E-Commerce Ecosystem, Chirag Pandey

Electronic Theses, Projects, and Dissertations

This culmination project investigated and analyzed the impact of factors influencing sales forecasting models in the e-commerce ecosystem. The research questions are: Q1) To what extent are sales forecasting models in the e-commerce ecosystems influenced by customer demographic variables such as gender, age, and geographic locations? Q2) To what extent are sales forecasting models in the e-commerce ecosystems influenced by product specific factors? The datasets used were from Kaggle, and the Worldometer websites. The findings are: Q1) Individuals aged '55 or over' significantly impact total sales in both the USA and Brazil. Male consumers consistently accounted for a higher proportion …

Developing And Modernizing Small Businesses In Dangriga, Belize, Abby Teague

Management Undergraduate Honors Theses

This thesis evaluates the effectiveness of the Small Business Development project located in Dangriga, Belize, and includes research on the challenges of entrepreneurship in developing countries. The project consisted of research and the implementation of marketing workshops to teach businesses how to manage their online and social media presence through the Belize Tourism Industry Association (BTIA) Dangriga. The impact of the project was significantly important because many Belizeans struggle to survive and succeed within their businesses. Belize contains multiple microenterprises that cannot meet their potential because of a lack of knowledge and communication. Overall, the project aims to give BTIA …

Study Of Brain Tumor Prediction By Using Machine Learning, Vishaya Ummaneni

Electronic Theses, Projects, and Dissertations

Technological advancements in deep learning and machine learning have greatly improved the diagnosis and analysis of medical images. This culminating experience project utilized the EfficientNetV2B3 model to predict brain tumors. The research questions are: (Q1) Does the study's deep learning model perform better than current methods when it comes to predicting brain tumor? (Q2) How much does the model's performance change when using different optimizers such as Adagrad, Adam, and SGD? (Q3) Can the regularization method, such as dropout, enhance the neural network model's generalization? The findings are as follows: (Q1) Yes; the EfficientNetV2B3 model performs better than current methods. …

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) …

Lululemon Strategic Audit, Tessa Mozingo, Olivia Eno, Molly Mitchell, Connor Morrissey, James Eshleman

Honors Theses

This case study focuses on lululemon, a prominent athleisure apparel company. Our team conducted an audit of the company revolving around strategic business management principles. Our research used publicly available information that included the company’s website, SEC filings, news articles, lululemon’s annual reports, financial statements, IBIS industry reports, and online sources. The goal of this strategic audit is to develop an understanding of lululemon’s business activities and strategies, collect and analyze both internal and external data, and evaluate lululemon based on strategic management concepts.

In this strategic audit, we conduct internal, external, performance, and competitive analyses and an examination of …

Association Between Food Insecurity And Chronic Health Condition Among Adults (18 To 48), Prasanth Reddy Guda

Electronic Theses, Projects, and Dissertations

Uncertainty or limited access to safe food, known as food insecurity, can affect the health and healthcare needs of individuals with several chronic conditions. During 2022, 12.8 percentage (around 17.0 million) of households in the United States experienced food insecurity. The main objective of this study was to examine the Association between food insecurity and chronic health conditions adults. We collected data from NHIS 2022 sample Adults’ Interview (The National Health Interview Survey). The research question asked are: (Q1) Are there certain long term health issues that are more common among adults facing food insecurity age in between the ages …

Impact Of Seasonality On Demand Forecasting Techniques For Small-Scale Food Retailers, Indu Sree Guturu

Electronic Theses, Projects, and Dissertations

This study explores the impact of seasonality on SKU (Stock Keeping Unit) demand forecasting in small-scale food retailers through the analysis of historical sales data, focusing on four key products, labelled: Product A, Product B, Product C & Product D. The research aims to assess the accuracy of different forecasting models in capturing seasonal fluctuations. The research questions are: (Q1) What is the impact of seasonality on SKU demand forecasting in case of small-scale food retailers. (Q2) How does the efficacy of Traditional model compare to alternative technologically driven forecasting techniques? (Q3) To what extent can the impact of seasonality …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Automatic Speech Recognition For Air Traffic Control Using Convolutional Lstm, Sakshi Nakashe

Electronic Theses, Projects, and Dissertations

The need for automatic speech recognition in air traffic control is critical as it enhances the interaction between the computer and human. Speech recognition helps to automatically transcribe the communication between the pilots and the air traffic controllers, which reduces the time taken for administrative tasks. This project aims to provide improvement to the Automatic Speech Recognition (ASR) system for air traffic control by investigating the impact of convolution LSTM model on ASR as suggested by previous studies. The research questions are: (Q1) Comparing the performance of ConvLSTM with other conventional models, how does ConvLSTM perform with respect to recognizing …

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

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

2024 Spring Honors Capstone Projects

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 …

Artificial Intelligence In Finance: Transforming Decision-Making And Risk Management For Enhanced Financial Outcomes, Bryce Layn

Finance Undergraduate Honors Theses

The impact of artificial intelligence on the financial sector is evaluated in this study, focusing on its management of financial risk capabilities and its role in creating tailored banking experiences. AI's rapid evolution has brought unprecedented capabilities, raising questions about human adaptability to these developments in finance. The thesis will conduct further research on how AI manages financial risks and navigates regulatory frameworks and potential mismanagement. Multiple companies will be investigated to showcase their diverse capabilities, with each one highlighting unique characteristics and contributions to the AI finance landscape. This Thesis presents a comprehensive summary of the evolving financial industry, …

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 …

Meme Stocks, Robinhood, And Wall Street: Retail Investors And Changing Market Dynamics, Nick Murray, Spencer Brosnan

Senior Theses

This thesis explores the rise of retail investors in the wake of the COVID-19 pandemic, and how they have changed the landscape of financial markets. We outline the full timeline of the GME and AMC social media craze that exemplified the power of retail investors in the market and investigate the impact the COVID-19 pandemic had on this group. Through the use of VandaTrack, a software that tracks retail investors’ trading activity, we were able to quantify the impact that retail investors have on US equities and ETFs and compare them to the market as a whole. We utilized this …

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 …

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 …

College Sports As A Business: How Name, Image, & Likeness Deals Have Altered The Way Colleges Operate, Jake Alexander Macinnis

Honors Theses and Capstones

The introduction of NIL (Name, Image, and Likeness) rights for student-athletes by the NCAA has significantly altered college athletics, enabling athletes to profit from their personal brands. In this thesis, it examines the multifaceted impacts of thesis changes on student athletes, universities, and the broader collegiate sports ecosystem. Some of the key areas explored include the rise of NIL collectives, the influence of lucrative TV deals on conference realignment, and modifications to the transfer portal. The research highlights the lack of transparency in collective payments, raising concerns about regulation amongst colleges and universities on all levels. This complicates recruitment as …

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

Undergraduate Theses, Professional Papers, and Capstone Artifacts

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 …

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 …

Does Personality Traits And Security Habits Influence Security Of Personal Identification Numbers? The Context Of Mobile Money Services In Tanzania., Daniel Ntabagi Koloseni

Journal of International Technology and Information Management

Security is an important ingredient in financial transactions; as such, it is imperative that attention should be paid to enhancing the security habits and user behaviours of mobile payment services. Establishing a link between security habits, personality characteristics, and security behaviours provides a new dimension to studying security behaviours regarding mobile money services. Therefore, this study investigates how personality traits affect security behaviours and habits and how security habits mediate the link between personality traits and PIN security practices. The study found that conscientiousness, openness to experience, extroversion and security habits influence PIN security practices, while conscientiousness, agreeableness, and neuroticism …