Business Analytics Commons^™

Development Of Artificial Intelligence (Ai) Utilization Scale In Business To Business (B2b) Sales Process And Conceptual Model: Exploratory Study, Michael Rodriguez

Atlantic Marketing Association Proceedings

No abstract provided.

Practical Applications Of Artificial Intelligence For Small Business Marketing: A Literary Review & Llm Approach, Noah C. Kowalski

Honors Capstones

This Honors Capstone Research Paper examines the practical application of artificial intelligence in small business digital and social media marketing. As AI technologies become more accessible, small businesses have new opportunities to improve efficiency, enhance customer engagement, and compete more effectively in digital markets. However, there is a lack of clear guidance on how to implement these tools in a practical and cost-effective way.

This study uses a qualitative approach, combining a literature review with an applied analysis of widely used AI marketing tools including ChatGPT, Canva, Hootsuite, Buffer, Google Analytics 4, and HubSpot. These tools were evaluated based on …

Generative Artificial Intelligence In Professional Selling Course: The Art (And Science) Of Prompt Engineering, Michael Rodriguez, Kevin Trainor, Michael Rodriguez

Atlantic Marketing Association Proceedings

No abstract provided.

Face Presence In User-Generated Photos And Its Effect On Review Helpfulness, Anh Dang, Bridget Nichols, Mark Nichols

Atlantic Marketing Association Proceedings

No abstract provided.

Design And Implementation Of A Customer Retention And Voice Ai System For El Nopal, Brando Medina

Undergraduate Theses

This Honors Applied Thesis documents the design and implementation of a live Customer Retention and Voice AI System for El Nopal, a full-service restaurant, to improve customer follow-up, routine communication handling, and cross-channel engagement. The project was developed for El Nopal’s Tyler Center location on Taylorsville Road and focused on building a practical artifact rather than primarily evaluating long-term business outcomes. The completed v1 system consists of three modules: a Customer Retention System centered on a QR-based VIP rewards workflow, a Voice AI System for routine phone support, and a Cross-Channel Integration Layer that connects voice interactions to CRM-based SMS …

Leveraging Accounting Analytics To Enhance Payroll Accuracy And Fraud Detection In U.S. Public Sector Institutions: A Case Study Approach, Regina Debrah

Beacom School of Business Student Publications

This study explores how accounting analytics can be leveraged to enhance payroll accuracy and improve fraud detection in U.S. public-sector institutions, addressing persistent irregularities amid rising demands for fiscal transparency. The research employs a qualitative design with secondary sources including academic literature, reports, and case studies. The literature identifies successful analytics implementation, such as Treasury OPI’s machine learning for data integration for unemployment claims. These precedents demonstrate direct transferability to payroll’s high volume and rules-based structure. Findings show that analytics significantly reduce improper payments through real-time screening, data integration, and risk prioritization when embedded in workflows. The findings also show …

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 …

Ai-Driven Risk Forecasting For Strengthening The United States Food Supply Chain Resilience: Case Study: A National Ai-Enabled Food Supply Chain Risk Forecasting Framework And A Data Analytics Approach To Predicting Disruptions, Sarah Onyeche Usoro, Itua Austin Omogiate, Rahab Zhewe Felix, David Azikutenyi Galadima

Student Publications

The United States food supply chain is one of the most complex and interconnected systems in the world, spanning agricultural production, processing, transportation, storage, and retail distribution. While this complexity enables efficiency and scale, it also increases vulnerability to disruptions caused by climate change, labor shortages, geopolitical shocks, transportation failures, cyber threats, and public health crises. Conventional risk management methods, often reactive and siloed, have proven inadequate in predicting and mitigating systemic shocks that have become frequent occurrences in today’s world. This article examines how artificial intelligence (AI) and data analytics can transform risk forecasting in U.S. food supply chains …

Harnessing Generative Ai And Large Language Models For Revolutionizing Cybersecurity In The Internet Of Things: Ethical And Privacy Implications, Harsha Sammangi, Aditya Jagatha, Jun Liu

Research & Publications

Generative artificial intelligence (AI) and large language models (LLMs) have in- troduced transformative capabilities in cybersecurity, particularly in securing Internet of Things (IoT) environments. These technologies can synthesize vast datasets, support real-time anomaly detection, and generate predictive insights through simple prompts. However, their deployment also presents ethical and privacy-related concerns, including algorithmic bias, data leakage, and misuse for malicious content creation. This paper conducts a systematic literature review to evaluate how LLMs and generative AI contribute to IoT cybersecurity. We propose an ethical AI-IoT security framework, examine key challenges, and offer recommendations for integrating responsible AI governance. We aim to …

Just As Advertised: The Perception And Effectiveness Of Artificial Intelligence In Digital Advertising, Brandon Isem Cáceres

CMC Senior Theses

What do you think when you hear “AI in advertising”? Does it spark intrigue, or does it feel like just another tech buzzword? In today’s fast-paced digital marketing landscape, connecting with consumers is a high-stakes challenge, and artificial intelligence is at the forefront of innovation. From automating campaigns to creating hyper-targeted content, AI promises efficiency and precision—but how do audiences perceive this shift? By analyzing key performance indicators (KPIs) like impressions, click-through rates, and cost-per-click in an an original A/B test, this thesis evaluates the perception and effectiveness of AI-driven advertising strategies. Combining historical insights, case studies, and an original …

Financial Consulting Internship In Valencia: Alternative Investments And Ai, Mason Sidney Rike

Finance Undergraduate Honors Theses

During the summer before my senior year, I had the opportunity to work as a research analyst in the finance department of TuaTeam, a financial and strategic consulting firm in Valencia, Spain. TuaTeam is a relatively new firm that serves its clients in a wide range of areas, from strategic restructuring and business model development to finding funding for future projects and identifying/evaluating potential investment opportunities. TuaTeam also works closely with communities around Spain to foster innovation and development among youth and professionals seeking to gain experience in new trends in technology and cultural enrichment. The company currently holds classes …

The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman

Finance, Economics, and Data Analytics

The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …

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

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

A Review On Machine Learning Methods For Customer Churn Prediction And Recommendations For Business Practitioners, Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo

Articles

Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer base and sustain business growth. This research scrutinizes 212 published articles from 2015 to 2023, delving into customer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of churn prediction models comprehensively, contrary to published reviews, which focus on some aspects of churn prediction, such as model development, feature engineering and model evaluation using traditional machine learning-based evaluation metrics. The review emphasises …

The New Frontier Or A Billionaire’S Joy Ride? Artificial Intelligence Driven Analysis Of Twitter Conversations Of The Spacex Company, Meghan Whittle, Miranda Butler

Senior Theses

In recent years, space travel has become less of a vision for select individuals in the field of research and is now on the cusp of becoming an experience available to paying customers. The purpose of this study is to determine Twitter users’ perceptions of SpaceX during the COVID-19 pandemic period from March 2020 to December 2021. We identified Twitter sentiment and emotions regarding such a new and abstract notion of a service that could be more widely available in the future. To achieve these goals, we collected tweets related to SpaceX using Brandwatch – a tool allowing the search …

The Impact Of Artificial Intelligence In The Customer Journey: A Case Study Of Bosch Usa And Defy South Africa, Tariro S. Munyengeterwa

Electronic Theses and Dissertations

Artificial intelligence (AI) continues to gain traction and is increasingly reshaping the media and marketing communications field. While significant research has been conducted on the impact of AI in other fields, there is little empirical evidence on how AI is affecting the customer journey. The present study explored both organizations’ current use of AI tools and how customer perceptions about AI affect AI usage and adoption through the lens of diffusion of innovation theory. The research was conducted using mixed-method qualitative research. In-depth interviews and a case study content analysis were conducted to collect and analyze the data. The results …

In The Midst Of The Apocalypse, Artificial Intelligence Can Save Brick And Mortar Retailers, Vrushank Nayak

Capstones

You might have heard that brick and mortar stores are closing by the thousands but I bet you didn't hear that brick and mortar stores are using artificial intelligence and customer data to help them counter closures and stay relevant in the transitioning retail industry.

https://coveringcompanies.journalism.cuny.edu/2020/01/07/in-the-midst-of-the-apocalypse-artificial-intelligence-can-save-brick-and-mortar-retailers/