Business Intelligence Commons^™

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.

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, Blockchain, And Autonomous Innovation : Charting The Future Of Intelligent Enterprises, Shubham Gupta

Harrisburg University Other Works

In today’s digital economy, artificial intelligence (AI) and blockchain are twin forces driving transformative change. AI and blockchain each rose to prominence on their own, but together they hold the promise of revolutionizing how businesses operate and create value. AI systems can analyze massive datasets, automate complex decisions, and even mimic human learning and reasoning. Blockchain technology, on the other hand, enables secure and tamper-proof transactions by distributing records across a network, ensuring transparency and trust without relying on a central authority. The convergence of these technologies is ushering in new possibilities for automation, smarter decision-making, and secure digital transactions …

Consumer Financial Data And Non-Horizontal Mergers, Linda Jeng, Jon Frost, Elisabeth Noble, Chris Brummer

Fordham Journal of Corporate & Financial Law

This Article explores the potential competitive implications of non-horizontal mergers where they involve extensive consumer data, including consumer financial data. As data become increasingly central to firm strategy, mergers between data-rich firms, while potentially leading to positive outcomes, can also create market power in ways not entirely accounted for by traditional antitrust theory. The Article considers some of these implications. It introduces new metrics for valuing data sets held by merging firms that could help competition authorities evaluate market impacts more effectively. The Article then suggests potential tools to mitigate anti-competitive effects of data-rich mergers. It advocates for further research …

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 …

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 …

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.

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 …

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 …

Automated Analysis Of Rfps Using Natural Language Processing (Nlp) For The Technology Domain, Sterling Beason, William Hinton, Yousri A. Salamah, Jordan Salsman

SMU Data Science Review

Much progress has been made in text analysis, specifically within the statistical domain of Term Frequency (TF) and Inverse Document Frequency (IDF). However, there is much room for improvement especially within the area of discovering Emerging Trends. Emerging Trend Detection Systems (ETDS) depend on ingesting a collection of textual data and TF/IDF to identify new or up-trending topics within the Corpus. However, the tremendous rate of change and the amount of digital information presents a challenge that makes it almost impossible for a human expert to spot emerging trends without relying on an automated ETD system. Since the U.S. Government …

Second Version On A Centralized Approach To Reducing Burnouts In The It Industry Using Work Pattern Monitoring Using Artificial Intelligence Using Mongodb Atlas And Python, Sasibhushan Rao Chanthati

Harrisburg University Other Works

Industry burnout is interlinked with cultural, individual, physical, or emotional exhaustion, and social factors, the resolution of which requires the technology-driven trends in the workplace and the technologies such as work pattern monitoring and Artificial Intelligence that can deal with large amounts of data. Industries face a gigantic problem i.e., employee burnout which can charge a firm loss in numerous hours and thousands of dollars every year. The more advanced companies use work pattern monitoring using Artificial Intelligence to make their employees work more professionally. In this research my attempts to understand the development and leadership, on the effects of …

The Effect Of Applying Artificial Intelligence In Forming Marketing Strategies On Jordanian Industrial Companies, Khaled Alcheikh

Al Jinan الجنان

This study aimed at identifying the Effect of Applying Artificial Intelligence in Forming Marketing Strategies of the Jordanian Industrial Companies listed at Amman stock exchange. The study population was all the Industrial Companies listed at Amman stock exchange, and the sample consisted of 65 marketing manager at these companies. Findings of the study showed that there was positive Effects of Applying Artificial Intelligence in Forming Marketing Strategies in terms of cost leadership, differentiation, focus marketing, alliance, diversification, and direct marketing. Based on the mentioned results, the researchers recommended industrial companies to adopt and sustain high tech programs that use Artificial …

Artificial Intelligence: A Diffusion Of Innovation View Of The Manufacturing And Health-Care Industries, William T. Rupp

Atlantic Marketing Association Proceedings

No abstract provided.

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/