Business Analytics Commons^™

Harnessing Artificial Intelligence For Real-Time Innovation In Upstream Oil And Gas: A Data-Driven Framework For Early Detection Of Lost Circulation Incidents, Gnana Allan Whinney Gnanapragasam

Journal of Global Management Research

Artificial intelligence (AI) and machine learning are reshaping upstream oil and gas operations, yet their value depends less on algorithmic sophistication than on converting heterogeneous sensor streams into timely operational decisions. This study develops and evaluates an AI-enabled framework for early detection of lost circulation incidents (LCIs) during drilling, positioning this safety-critical use case within the broader innovation architecture of upstream operations. Uncontrolled drilling-fluid losses generate non-productive time, well-control risk, and substantial cost. The empirical component uses historical surface drilling data from approximately 200 wells that experienced severe or total losses, recorded at an average frequency of 0.2 Hz (one …

Generative Ai’S (Genai) Impact On Sales Performance: An Empirical Study On Business-To-Business Sales Process, Michael Rodriguez, Michael Rodriguez, Mike Krush, Dawn Deeter-Schmelz

Atlantic Marketing Association Proceedings

No abstract provided.

What Ai Can Tell Us About Society: Insights From Social Media Data, Amy Ehinomen Eremionkhale

Business Analytics Faculty Publications

AI can summarize how people feel.
But who decides what counts as “feeling”?

The lecture series brings in scholars to engage the wider university community in meaningful conversations. I am using that space to ask a question at the center of my work:

When AI tells us what society thinks, is it actually telling us the truth, or just what it has been trained to recognize as truth?

My talk, “What AI Can Tell Us About Society: Insights from Social Media Data,” leans directly into that tension.

I will break down how sentiment analysis works in practice, share insights from …

Marketing The Future Of Radiology: How Ai Integration Enhances Diagnostic Precision And Streamlines Clinical Workflows, Monisha Gupta, Jordan -. Watts Ms, Alberto Coustasse Hencke Dr.

Atlantic Marketing Association Proceedings

No abstract provided.

Analyzing Big Data-Ai's Impact On Product Innovation And Customer Engagement, Omar Itani, Samer Elhajjar, Ashish Kalra Dr, Manal Yunis Dr.

AMTP Proceedings 2026

In contemporary business landscapes, an organization's capacity to deliver groundbreaking innovative products and foster deep, meaningful engagement with its customers stands as the paramount objective of modern strategic practices. This dual focus not only drives sustainable growth but also fortifies competitive positioning in hyper-competitive markets. Yet, despite the extensive empirical evidence highlighting the transformative benefits of innovation—such as enhanced market share and profitability—and customer engagement—evidenced by loyalty, advocacy, and repeat business—the pivotal role of big data-artificial intelligence (BD-AI) technologies remains strikingly underexplored. In particular, scant attention has been paid to how BD-AI training equips firms to harness these tools effectively …

The Influence Of Ai Tool Dependence On Students’ Perceived Preparedness And Confidence In Higher Education, Julia Fichera

Honors Theses and Capstones

As AI tools are becoming more integrated in higher education, how these tools may impact students’ perceptions of their own independent writing and communication skills has been questioned. This study seeks to understand how reliance on AI writing tools in higher education influences students’ perceived preparedness and confidence in their independent writing and communication skills. Survey data was collected from 102 university students; after removing incomplete entries, 99 responses were included in the final analysis. The data was analyzed using descriptive statistics, Spearman correlations, and Mann-Whitney U tests.

The tests reveal that greater AI reliance is associated with lower self-perception …

From Enhancement To Substitution: A Strategic Provocation On Simulation-Based Sport, Grant B. Morgan, Andreas Stamatis

Journal of Applied Sport Management

Advances in artificial intelligence, large-scale machine learning, and simulation technologies are rapidly transforming how sport is played, analyzed, and consumed. To date, most scholarly and industry discussions frame these technologies as tools that enhance embodied sport by improving performance, officiating, media production, and fan engagement. This paper extends that conversation by posing a more provocative strategic question: under what conditions might simulation move from enhancement to substitution? Focusing explicitly on sport as a business and entertainment enterprise, we argue that many of sport’s core sources of cultural and economic value—uncertainty of outcome, narrative continuity, legitimacy, and collective meaning—are structurally …

From Answering Questions To Replacing Staff: Analyzing The Effect And Possibilities Of Artificial Intelligence On The Structure Of Organizations, Caleb J. Cissna

Honors Projects

Over the last several years artificial intelligence has risen in commonality, availability, knowledge and usage across multiple industries, including business firms and organizations. Terming the multitude of tasks that are completed by these machines “artificial intelligence” is somewhat dismissive – the broadness of the tasks is unmatched by most any other innovation within the 21^st century. The widespread nature of artificial intelligence today have advanced many organizations, with many using the technology to create competitive advantage for themselves in certain industries, while others have seen it level the competitive field between firms in a given industry. Following this research …

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

Assessing The Readiness And Awareness Of Key Stakeholders In The Egyptian Maritime Industry To Implement Smart Green Port Practices: A Case Study Of Alexandria Port, Mohamed Elhussieny, Ahmed El Kassar, Kareem Tonbol

Blue Economy

This study explores the readiness and preparedness of the major stakeholders within the Egyptian maritime sector towards the adoption of smart green port practices, with particular consideration given to Alexandria Port. With growing environmental threats, the need to support sustainable maritime operations is high. The study evaluates the current state of the ecosystem at Alexandria Port and benchmark it against international standards to highlight the critical gaps that should be covered for the effective execution of smart green port approaches. The results indicate that, although stakeholders have basic knowledge of sustainability issues, large perceived barriers, particularly regarding resource availability, limited …

Potential Impact Of Artificial Intelligence On Small And Medium Enterprises Innovation In The Eu: A Perspective From Poland, Malgorzata Wilczynska, Alina Walenia, Artur Dabek, Daniel Salabura, Halina Kot

Markets, Globalization & Development Review

The development of small and medium-sized enterprises is a complex process that requires the use of all approaches to achieve success. In this regard, finding opportunities to use artificial intelligence in such companies is of great importance. The study aims to assess how this technology affects the innovation and financial performance of small and medium-sized enterprises. To draw the main conclusions, the implementation of artificial intelligence at Polish enterprises, including in the context of their financial performance, namely the level of return on assets and the level of debt, was analysed. The study showed that the introduction of artificial intelligence …

Marketing Analytics In 2024 Conferences: Ai And Data-Driven Decision-Making, Maria Petrescu, Anjala S. Krishen

Publications

The field of marketing (and business) analytics has been developing significantly during the last decade, especially with regard to new (generative) AI technologies. A reflection of this rapid evolution can be seen by the strong presence of analytics-related topics in prominent marketing conferences of 2024. Some of the key themes appearing in the 2024 marketing conferences in relation to marketing analytics include AI integration, consumer engagement, data-driven decision-making, and ethical aspects, as reflected in Fig. 1 and discussed below.

The Shocking Future Of Artificial Intelligence Across A Variety Of Industries, Collin Elek Boone

Management Undergraduate Honors Theses

Artificial intelligence is a huge phenomenon that has begun to take over worldwide media. The abilities that AI has already proven to be capable of will undoubtedly change the world in a variety of ways. In the future, however, it is possible that AI will have an impact on nearly every sector imaginable. With the success that companies such as OpenAI and Microsoft have already displayed regarding artificial intelligence, it is clear that this software has immense capabilities. The purpose of this study is to conduct research detailing the potential impact of AI on industries within the business sector and …

Comment Letter On Sec’S Proposed Rule On Conflicts Of Interest Associated With The Use Of Predictive Data Analytics By Broker-Dealers And Investment Advisers, File Number S7-12-23, Sergio Alberto Gramitto Ricci, Christina M. Sautter

Faculty Works

This comment letter responds to the Securities and Exchange Commission’s proposed rule Release Nos. 34-97990; IA-6353; File Number S7-12-23 - Conflicts of Interest Associated with the Use of Predictive Data Analytics by Broker-Dealers and Investment Advisers. Our comments draw on our scholarship relating to laypersons’ participation in securities markets and the corporate sector as well as on the role of technology in corporate governance.

We express concerns that the SEC’s proposed regulation undermines individuals’ ability to access capital markets in an efficient and cost-effective manner. In the era of excessive concentration of equities ownership and power, often with negative societal …

Finchain: Adaptation Of Blockchain Technology In Finance And Business - An Ethical Analysis Of Applications, Challenges, Issues And Solutions, Naresh Kshetri, Keith Miller, Gaurango Banerjee, Bikesh Raj Upreti

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Blockchain Technology is a distributed database technology that has emerged as a ground-breaking technology with several possible solutions to critical applications, say from supply chain management, agribusiness, marketing to healthcare industry including internet of medical things. Although it started as a digital coin (popularly known as bitcoin), it is slowly influencing business, marketing policy and society. We have presented an in-depth study and ethical analysis of how blockchain is applied over the economic and financial sector including banks, credit unions and other retail giants. During our research, we have also investigated how blockchain technology can affect financial institutions around the …

Thinking Local With Original Data In Ai And Machine Learning Research, David G. Taylor, Robert Mccloud

WCBT Working Papers

Sacred Heart University spent significant funds to establish an AI lab. Initially there is no ongoing research and no real plan for a research agenda. This paper details how the Jack Welch College of Business and Technology created and implemented an active meaningful research plan. It involves two key elements: thinking local and using business connections to foster active, impactful research. Surrounding communities, business connections, area environment, and other Sacred Heart University departments all played a part. The research plan also identifies a specific issue in working with local and business contact sources: the AI researcher almost never gets data …

Novel Technologies And Their Effect On The Customer Journey: Customers' Sentiment With Tesla App, Andrew Jaymes

Electronic Theses, Projects, and Dissertations

This culminating experience project explores how novel technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and virtual and augmented reality (VR/AR), impact customer experience. The customer journey framework was used to analyze customers' responses to interactions with novel Technologies integrated into Tesla electric vehicles. After gathering customer response data from the Tesla Motors subreddit page, we were able to score customer experiences with the Tesla app, over-the-air software updates, and full self-driving features, using the NRC sentiment lexicon. Our results showed customers tended to express more positive sentiments than negative sentiments when describing their experiences with these …

The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.

Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller

Asian Management Insights

Since 2017, Changi Airport group (CAG) has initiated a host of pilot projects that use connective and intelligent technologies to enable its move towards digital transformation and SMART Airport Vision. This has resulted in a first wave of deployment of AI and Machine Learning-enabled applications across various functions that can better sense, analyse, predict, and interact with people.

Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller

Asian Management Insights

Ranked as the best airport for seven consecutive years, Singapore’s Changi Airport is lauded the world over for the efficient, safe, pleasurable and seamless service it offers the millions of passengers that pass through its facilities annually. Much of Changi Airport’s success can be attributed to the organisation’s customer-oriented business focus and deeply embedded culture of service excellence, combined with a host of advanced technologies operating invisibly in the background. The framework for this technology enablement is Changi Airport Group’s (CAG’s) SMART Airport Vision—an enterprise-wide approach to connective technologies that leverages sensors, data fusion, data analytics, and artificial intelligence (AI), …

The Rise Of Artificial Intelligence In The Legal Field: Where We Are And Where We Are Going, Sergio David Becerra

The Journal of Business, Entrepreneurship & the Law

The twenty-first century has brought significant technological advancement that permeates all aspects of our lives. The legal field, though slow in the adaption of this technology, is beginning to pick up the pace. Artificial Intelligence (AI) technology is used now to perform legal work once completed solely by legal practitioners. This Comment outlines what AI is and reviews the current use of AI in the legal field. It also identifies AI products and developments that are in place. Finally, it argues that lawyers will always be needed in the practice of law, despite the continued growth of AI.