Business Intelligence Commons^™

An Active Learning Simulation For Teaching Hadoop In An Undergraduate Business Curriculum, Ruben A. Mendoza Ph.D., Liyuan Liu Ph.D.

International Journal for Business Education

This paper shows the effectiveness of an experiential learning activity for teaching core Hadoop concepts to undergraduate business students across all majors (Finance, Marketing, etc.). The complexity of Hadoop, with its distributed computing model and deep technical requirements, presents significant challenges in educational settings. The simulation was developed for an introductory course in a Business Intelligence & Analytics (BI&A) curriculum and adapted for use in a Database Management (DB) course. Results show significantly higher performance on questions centered on the topic in an online test preparation game with a total of 236 students in 11 different offerings of the course. …

Shaping Smarter Supply Chains With Robotics And Automation, Daniel Delucio

Honors Projects

The purpose of this study is to analyze how companies operate their logistics processes from the procurement of raw materials to the delivery of the final product to customers. By examining current methodologies, the study identifies best practices, emerging trends, and challenges shaping modern supply chain management. Specifically, this research investigates how artificial intelligence (AI), robotics, and automation can be integrated to improve efficiency, transparency, and resilience.

Evolution Of A New Strategic Orientation In The Ai Era: Exploring The Determinants Of Ai Orientation, Sreelakshmy Geethakumari

Dissertations

The field of AI has undergone significant evolution over the past few decades. While AI is heralded as one of the most transformative technologies, scholars caution that its strategic impact may still not be fully realized. Given the strategic importance of AI in today's firms, it is essential to consider AI as a strategic orientation and understand its determinants in detail. Our study examines AI Orientation, defined as a firm's deliberate application of AI technologies to achieve its strategic objectives. Drawing on multiple theoretical perspectives, this study investigates the determinants that shape a firm’s AI orientation. This study employs a …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Utilizing A Virtual Firewall Appliance For Introducing And Reinforcing The Concepts And Implementation Of Devices To Improve Security In A Computing Environment, Stanley Mierzwa, Christopher Eng

Center for Cybersecurity

The educational realm of higher education cybersecurity curriculum continues to evolve to provide more opportunities for experiential hands-on and work role-related practical applications of technology solutions. Gaining greater competencies is quickly becoming a normal requirement for such programs that are designated by the National Security Agency Center of Academic Excellence programs. The work roles of cybersecurity include a variety of knowledge, skills, and abilities, depending on the category of the activity or task. Firewalls have been a staple cybersecurity, network security, and information security device and strategy to protect organization networks and computing environments. This paper will provide details and …

Skill Evolution In The Age Of Ai-Utilizing Text Analytics For Skill Gap Analysis To Prepare Women For Leadership Roles, Blenda G. Mutuma, Marcelline Ouma, Beth Kanyiri

Communications of the IIMA

ABSTRACT
The rapid advancement of Artificial Intelligence (AI) is transforming the global workforce, presenting both opportunities and challenges for leadership development, particularly for women. As AI automates routine tasks and redefines skill requirements, there is a growing demand for uniquely human capabilities such as emotional intelligence, creativity, and strategic thinking, qualities that are inherently strong and often highly associated with women. Research indicates that women typically score higher in emotional intelligence, particularly in areas such as empathy and relationship management, which are critical for effective leadership (Goleman, 2020). Furthermore, studies by McKinsey & Company (2022) highlight that gender-diverse leadership teams, …

Sentiment Analysis Of Public Commentary On U.S. Farm Bills, Frank Tenkorang, Fletcher Ziwoya

Mountain Plains Business Conference

This study applies sentiment analysis to public commentary on U.S. farm bills to assess patterns of support and opposition. Using Reddit posts from relevant subreddits, we employed two natural language processing models, VADER and RoBERTa, to evaluate sentiment over time. While both models yielded differing sentiment distributions, they revealed increased public engagement during farm bill years, particularly in 2018. Most sentiments were neutral, but negative opinions outweighed positive ones. Posts with stronger sentiments tended to attract more user interaction, especially controversial ones. These findings highlight the polarized yet active public discourse surrounding agricultural policy and the potential for data-driven policy …

Apple Inc.: Strategic Audit, Huy Le

Honors Program: Senior Projects (Public)

An audit and analysis of Apple Inc.'s strategy and positioning within its industry. Recommendations were made based on Porter's Five Forces Analysis for Apple to maintain and grow its market share.

Behavioral Assessment Software: Enhancing Polygraph And Investigative Interviewing, Alan Saquella

Publications

In the rapidly evolving world of security, law enforcement, and investigative sciences, professionals are increasingly turning to advanced technologies to supplement tried-and-true methodologies. One emerging innovation is behavioral assessment software, designed to enhance both pre-employment screening and investigative interviewing. Acting as a form of modern human intelligence collection, these tools enable examiners and investigators to gather deeper insights directly from candidates and subjects, revealing behavioral cues and risk indicators that might otherwise remain hidden (Vrij, 2008).

Importantly, behavioral assessment software is not intended to replace polygraph or other traditional investigative methods. Instead, it functions as a complementary resource—one that provides …

Preventing Workplace Violence: A Strategic Imperative For Today’S Organizations, Alan Saquella

Publications

Workplace violence is a critical and growing concern for organizations across all industries. It encompasses a wide spectrum from bullying and verbal threats to physical assaults and, in the most tragic cases, homicide. While acts of extreme violence often dominate news headlines, they are typically preceded by missed warning signs and failed interventions.

Sistema De Costos. Ecosistemas De Emprendimientos Rurales De Chía. Sector Turístico, Luz Alejandra Riveros Sáchica, Luz Mireya Rincón Mora, Diana Karina López Carreño

Ciencias Administrativas, Económicas y Contables

Sistema de costos. Ecosistemas de emprendimientos rurales de Chía. Sector turístico subraya la importancia de los emprendedores rurales a diferentes niveles, señalando la falta de información en las bases de datos gubernamentales. Además, busca que los emprendedores reconozcan el significado de su trabajo para identificarse como tales y participar activamente en la comunidad emprendedora. En este sentido, se describe cómo este grupo social no se ha articulado, ni han establecido mecanismos de cohesión que permitan la conformación de ecosistemas sostenibles direccionados hacia un mayor desarrollo. El presente libro sugiere temáticas puntuales para capacitaciones y asesorías educativas, especialmente en aspectos económicos …

A Monte Carlo Analysis Of Cost Competitiveness Of Chinese And U.S. Fine Chemical Exports To Europe Under Europe’S Energy Crisis, Lin Luo

Dissertations

The European energy crisis, driven by geopolitical conflicts, has created a significant supply-demand gap in Europe’s fine chemical sector, necessitating reliance on imports from the United States and China. This quantitative study examined how energy, labor, and logistics costs interacted to shape the cost competitiveness of U.S. and Chinese fine chemical exports to Europe, using a Monte Carlo simulation parameterized with historical data from 2015-2023, to provide a probabilistic forecast of competitive outcomes. The findings revealed that while China holds a 76.55% probability of being the lower-cost supplier, its advantage is characterized by high volatility primarily due to its logistics …

Multi-Theoretic Perspective Of Backer Decision-Making In Crowdfunding: Interplay Of Backer, Founder And Ai, Maliha Alam

Theses and Dissertations

Crowdfunding has become a transformative mechanism for financing innovation, connecting creators directly with backers while bypassing traditional funding barriers. Despite its rapid global growth, only about 33.7% of campaigns succeed, largely due to ineffective communication of value propositions and lack of backer engagement. This dissertation investigates the complex interplay between project founders, backers, and emerging AI technologies to understand the factors influencing donation intention and to enhance crowdfunding success prediction.

Adopting the behavioral decision-making framework, I draw on multiple theoretical perspectives- signaling theory, the dual-process model of persuasion, and the cognitive-affective trust framework to examine founder- backer interactions. Using a …

Organizational Metamorphosis: When Artificial Intelligence Transforms Companies Into New Economic Life Forms, Allan M. Glass

All Dissertations

Traditional theories of organizational change fall short in explaining how artificial intelligence (AI) transforms organizations. This grounded theory study, based on interviews with 34 organizational leaders, identifies a novel phenomenon: organizational metamorphosis - the irreversible transformation of organizations into fundamentally new entities through deep integration with AI as a cognitive partner.

The metamorphosis process unfolds in three phases. Individual Awakening occurs when leaders experience powerful interactions with AI, prompting a rapid shift from skepticism to advocacy. Once a critical mass of leaders undergo this shift, it initiates Organizational Restructuring, characterized by reimagined work design, boundary dissolution, and altered temporal rhythms. …

Safeguarding Intellectual Property: A Strategic Imperative For Organizations, Alan Saquella

Publications

Intellectual property (IP) is more than a legal concept — it is the foundation of innovation and the engine that drives growth, differentiation, and long-term success. From proprietary algorithms to product designs, trade secrets, and customer data, IP represents the most valuable asset many organizations possess. When compromised, the damage can be severe — manifesting in lost revenue, competitive disadvantage, reputational harm, and in some cases, the collapse of entire business lines.

Book Review: Building A God, Carl Lee Tolbert

The Journal of Values-Based Leadership

No abstract provided.

Two Essays In Finance: Can Machines Better Predict Insider Trading? And Csr And Firm Value Following Dividend Cuts: International Evidence, Solmaz Batebi

Theses and Dissertations

This dissertation consists of two essays. In the first paper, I find that machine learning (ML) models predict the likelihood and magnitude of insider trading significantly better than linear models such as OLS and logistic regression. I use ML models, including LASSO, Random Forest, and eXtreme Gradient Boosting, optimizing model parameters through Bayesian hyperparameter tuning to identify the best configuration. Additionally, I apply SHAP values to better understand the determinants of insider trading. I also use Gaussian Thompson Sampling (GTS) to explore the sources of insiders’ market-timing capabilities. I find that ML models can boost the R² for models predicting …

Combating Forced Labor: Innovative Data Solutions For Risk Assessments, Jill Dewitt, Valerie Cho

SMU Human Trafficking Data Conference

Today’s global market demands that businesses ensure their supply chains are free from human rights violations, especially forced labor. Due to the increasing regulatory, commercial, and reputational stakes, it is crucial to identify and address these risks. However, firms must manage forced labor risks for compliance purposes while navigating a lack of data visibility and compliance complexities. Moody’s and The Rights Lab are leveraging data and technology to assist businesses in identifying and mitigating the risk of forced labor within their supply chains. By utilizing technology for data collection, they can pinpoint risks in three key areas: industry, geography, and …

Marketing De Moda Predictivo E Inclusivo: Estrategias De Segmentación Avanzada Para Audiencias Diversas Con Inteligencia Artificial, Oscar Barroso Huertas

GDI. Revista de investigación de Género, Diseño e Innovación

Introducción: El marketing predictivo, impulsado por la inteligencia artificial (IA), está transformando cómo las marcas anticipan las necesidades de sus audiencias. En Moda, la personalización es clave para conectar emocionalmente con los consumidores, pero también es esencial que las marcas sean inclusivas, respetando la diversidad y la privacidad. Este artículo explora cómo las marcas de moda usan el marketing predictivo para segmentar audiencias diversas, garantizando campañas personalizadas e inclusivas. Metodología: Este estudio adopta un enfoque mixto, combinando revisión documental y análisis cualitativo. Se revisan fuentes académicas y casos de marcas que aplican marketing predictivo inclusivo, utilizando tecnologías como machine learning …

A Survey Of Retail Trade Patterns In South Dakota: 2015-2024, Rand E. Wergin

Faculty Publications

This paper provides an analysis of retail sales and retail trade in the state of South Dakota for the ten years 2015 to 2024. This paper provides a detailed analysis of the fifteen largest communities in the state, with further analysis of each community reporting retail sales to the state Department of Revenue.

This analysis will provide information to community leaders in the cities and towns of South Dakota. Retail pull is an economic indicator that provides a measure of community’s economic health and its ability to attract shoppers, both shoppers from its own community and from other communities. A …