Business Intelligence Commons^™

Strategic Judgment In Leadership Decision-Making: Evaluating Ai In Organizational Contexts, Cate Wengelnik

Southwestern Business Administration Journal

This paper presents a classroom-based approach for teaching strategic judgment in leadership decision-making through the evaluation workplace communication and incorporates the use of artificial intelligence (AI). As AI tools become more common in organizational settings, leaders and employees must be prepared to assess outputs that may appear professional while containing inaccurate, unsupported or potentially risky information. This paper describes an instructional case in which students examine an AI-generated response to an employee inquiry about workplace accommodations and Human Resources related matters. Students (1) evaluate the message for clarity, tone and apparent usefulness, then (2) analyze the organizational risks created when …

The Strategic Role Of Frontline Sales Personnel In Semiconductor Manufacturing Markets, Daisuke Yahiro

Jesselton Journal of Educators and Scholars

This study examines the strategic role of frontline sales personnel within semiconductor manufacturing environments characterized by technological volatility, operational interdependence, and evolving customer demands. Drawing upon emergent strategy, strategy-as-practice, and organizational sensemaking perspectives, the study explores how frontline personnel contribute to organizational responsiveness and strategy formation beyond conventional execution-oriented roles. A qualitative interpretive research design grounded in pragmatism and symbolic interactionism was adopted. Data were collected through semi-structured interviews involving 12 participants engaged in semiconductor manufacturing sales, customer coordination, and managerial activities in Japan. The findings reveal that frontline personnel function as strategically embedded organizational actors who contribute to operational …

Managerial Mindset And Ai Adoption In Smes. A Systematic Review Of Cognitive, Behavioural, And Institutional Foundations, Shabin Muzibbhai Shaikh, Shivkanya Birla

European Management Studies

Purpose: This study examines how managerial mindset shapes the adoption of artificial intelligence (AI) in small and medium‑sized enterprises (SMEs). While existing research often highlights resource or capability constraints, this review shows that deeper cognitive, behavioral, and institutional foundations strongly influence how managers interpret AI and decide whether to engage with it.

Design, Methodology, and Approach: A systematic literature review (SLR) was conducted using established protocols. Thirty influential studies across managerial cognition, behavioral strategy, institutional theory, and technology adoption were identified, screened, and synthesized. Their insights were integrated into a multilayered conceptual model explaining how mindset shapes AI adoption in …

Does Green Pay Less? Global Corporate Bond Evidence On Primary And Secondary Yields, Youssef El Kenawy

Theses and Dissertations

The greenium, or green premium, refers to the lower yield that arises from a bond’s green label, conditional on otherwise identical contractual features and credit risk. In our study, we estimate the greenium by combining causal matching techniques with a neural network–based propensity score approach to construct a closely comparable set of green and conventional bonds. Our empirical framework incorporates issuer fixed effects and currency × issuance-year fixed effects, ensuring that our estimates reflect the impact of the green label itself rather than differences in macro-financial conditions or issuer composition.

Our findings indicate that, once currency-specific issuance-year conditions are absorbed, …

Controversy Associated With Red-Light Traffic Cameras, Alan D. Smith, Anna Abdulmanova

Atlantic Marketing Association Proceedings

No abstract provided.

Decoding Stock Market Movements: The Role Of Unemployment And Volatility, Bipllab Roy, Suparna Bhattacharjee

Northeast Journal of Complex Systems (NEJCS)

This study investigates how unemployment and market volatility interact with stock prices in the Indian context, framing the stock–labour–volatility nexus as a complex adaptive system (CAS) rather than a set of linear, time-invariant relationships. Using verified secondary data on unemployment, India VIX, and NSE stock indices for 2013–2023, we first apply simple and multiple regression as a descriptive baseline. Results show a strong negative association between unemployment and stock prices (R ≈ 0.824, R² ≈ 0.68, p < 0.05), consistent with Keynesian demand-side channels, while the linear VIX–stock relationship is weak and statistically insignificant (R² ≈ 0.07, p > 0.05), consistent with the expectation that volatility operates through non-linear, regime-dependent mechanisms not captured by OLS.

Importantly, we document and transparently disclose critical …

Overcoming Adversity With Resilience: A Phenomenological Examination Of African American Women Leaders Facing Microaggressions In Corporate Spaces, Dionne Trenise Johnson

Electronic Theses and Dissertations

African American women leaders in Fortune 500 companies experience persistent challenges of subtle yet pervasive systems of discrimination in the form of microaggressions that cause negative impacts to their psychological well-being, workplace performance, and career advancement. These women exhibit incredible resilience that enable them to thrive at work, mitigate mental health challenges, and navigate their careers successfully. However, unlike people who fall into either a racial minority group or a gender minority group, African American women experience compounded effects of microaggressions due to the intersection of their race and gender. As a result of microaggressions, these women experience impacts to …

Staffing Decisions At Gabriana Cup, Ana Jimenez, Edith Oblitas, Gabriela Pena Guzman, Adriana Valdivia, Di Wu

Open Educational Resources

Labor costs are one of the largest operational costs in the service industry. Overstaffing increases expenses unnecessarily, and understaffing reduces service quality and customer satisfaction. You are a business operations analyst working for Gabriana Cup, a local coffee shop. The owner has observed that certain hours appear significantly busier than others, creating operational pressure during peak times. The owner would like to reduce unnecessary labor costs and optimize Gabriana Cup's staffing practices.

Staffing schedules are currently based on assumptions rather than historical sales patterns, costing the coffee shop owner through wasted inventory, overstaffing, understaffing, and unnecessary labor costs. The coffee …

Netflix Content Strategy, Di Wu

Open Educational Resources

Netflix operates in a highly competitive streaming market where content strategy directly affects subscriber acquisition, retention, brand positioning, and international growth. A streaming platform cannot simply add more titles indefinitely. Content licensing, production budgets, regional demand, maturity ratings, and genre balance all shape which titles should be prioritized.

You are a content strategy analyst on Netflix's global catalog planning team. Senior management is preparing the next annual content review and wants a data-supported recommendation about how the catalog should be positioned. The team is especially interested in whether Netflix should continue emphasizing movies, expand TV shows more aggressively, prioritize specific …

Smartphone Usage, Charles Howard, Josiah Nkele, Berner Hernandez, Di Wu

Open Educational Resources

A major smartphone company is studying how smartphone usage affects users' stress, productivity, and sleep habits. As part of the product development team, you have been assigned to analyze user behavior data to help create digital wellness features that improve the overall user experience.

The company has collected behavior data from over 50,000 users to better understand how smartphone habits may influence focus, stress, and performance. By exploring this data, the team hopes to discover patterns that can guide healthier digital usage and create a better balance between daily life and technology use.

Senior product managers are considering several possible …

Airbnb Studies, Fatoumata Diabate, Maria Estevez, Jaliah Fabre, Di Wu

Open Educational Resources

In the high-stakes world of short-term rentals, Homeland Sellers serves as an advisory firm for property buyers navigating the global Airbnb market. Historically, investors in the sector have often been led by intuition and gut feeling. That is a dangerous strategy in an increasingly regulated environment. To protect capital, Homeland Sellers is transitioning to a more rigorous, data-driven investment model.

Aspiring hosts face a minefield of financial and legal hurdles. Ignoring local HOA restrictions, fluctuating property tax structures, or strict licensing requirements can create serious risk for net operating income. Beyond regulatory compliance, investors must also account for guest appeal …

Credit Card Analysis, Di Wu

Open Educational Resources

A credit card business unit at a bank is facing a retention problem. More customers are leaving the bank's credit card services, and the retention manager wants to identify which customers are most likely to churn so the bank can intervene before the account is lost.

The bank has customer demographic, relationship, and transaction data for more than 10,000 credit card customers. The data includes age, gender, education, income category, card category, months on book, customer inactivity, contact frequency, credit limit, revolving balance, transaction amount, transaction count, and whether the customer attrited.

You are a business analyst on the bank's …

Investment Decision Making, Muhammad Yaseen, Di Wu

Open Educational Resources

A newly established commercial bank, founded in 2021, has accumulated excess capital reserves. The bank is evaluating long-term investment options to deploy this capital in a way that balances growth and risk. The investment committee is considering two primary strategies: investing in a diversified technology-focused ETF, QQQ, or investing directly in selected individual technology stocks.

The bank's senior management wants capital growth, but it also needs to manage risk exposure. A bank cannot treat an investment decision only as a search for the highest return. It must also consider volatility, concentration risk, liquidity, downside periods, and whether the strategy fits …

German Energy Crisis, Liomar Jimenez, Malachy Mclaughlin, Muhdee Nawab, Mouhamed Sarr, Di Wu

Open Educational Resources

For most of the twentieth century, nuclear energy was the quiet backbone of Germany's electricity system. At its peak in 1997, nuclear power supplied over 31 percent of all electricity generated in the country. It was a reliable, low-cost source that kept German industries competitive across Europe. The country's industrial base, including automakers, chemical producers, and heavy manufacturers, depended on affordable, stable power. Nuclear delivered exactly that.

The political climate changed in the late 1990s. After years of advocacy based on concerns about nuclear waste and reactor safety, the Green Party joined the Social Democrats to form the Red-Green Coalition …

Ai-Augmented Financial Advisors: Comparing Ai And Human Analyst Investment Recommendations In Agreement, Performance, And Firm Size Effects, Crystal Chen

Honors College Theses

This study examines the level of agreement and performance between artificial intelligence (AI) generated investment recommendations and human analyst recommendations across U.S. publicly traded firms. Using a sample of twelve companies categorized by firm size (large, mid, and small), the study collects buy, hold, or sell recommendations from generative AI systems and human analysts. Agreement between AI-to-AI and AI-to-human recommendations is measured using Cohen’s Kappa agreement. Portfolio performance is evaluated by constructing equal-weighted portfolios for each recommendation source and size category. Risk-adjusted returns are measured using the Sharpe ratio over 1-, 2-, and 3-month periods. Furthermore, the study tests whether …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Impact Of Digital Leadership And Organizational Intelligence On Digital Organizational Transformation: An Empirical Study, İzzet Dedeoğlu, Murat Ak, Filiz Demir, H.Tezcan Uysal

Makara Human Behavior Studies in Asia

Technological and digital developments in the current information age have brought profound transformations to organizations, especially business operations and structures. Digital organizational transformation may be more effectively managed through the combined influence of digital leadership and organizational intelligence. This study examines the impact of digital leadership and organizational intelligence on the digital organizational transformation process, addressing a clear gap in the existing literature, as few studies have empirically investigated these factors together. Data were collected via an online survey from 104 employees of a packaging company in Konya, Türkiye, using a convenience sampling method. The study was designed as an …

Chatgpt Unveiled: Unleashing Ai Magic In Digital Marketing, Jianping Huang, Mark J. Sciuchetti Dr.

Atlantic Marketing Association Proceedings

No abstract provided.

Silicon Rivalry: Understanding The U.S.-China Ai Competition In Southeast Asia, Daniel Christopher Kent

Master in Public Policy Theses

In the rising global strategic competition between China and the United States, artificial intelligence (AI) has taken on a special significance given its potentially transformative impact upon economics and security. Yet while the dialogue around the “AI race” is typically centered on foundational model capability enhancement, application in security contexts, and chip design and manufacturing, there is much less attention paid to its impact on geopolitics. In particular, AI diplomacy—the work of a state to spread its model of AI governance, evangelize its AI companies, and develop critical AI interdependencies and linkages around the world—is far less studied. Nowhere is …

Large Language Models As A Detector For Political Deepfakes, Gracie L. Roberts

Honors Theses

The advancement of generative artificial intelligence has allowed for the creation of highly realistic political deepfakes, posing significant threats to democratic integrity and trust in governmental institutions. This study investigates the effectiveness of Large Language Models (LLMs) as detectors for political deepfakes, specifically exploring their ability to address the transferability, interpretability, and robustness limitations inherent in traditional detection systems.

The research was conducted in four steps including data collection, model selection, experimental testing, and evaluation. Two datasets were used in this study. The first dataset uses 833 fake images from the Political Deepfake Incidents Database (PDID) and 833 real images …

A Forecasting Framework For Distribution Center Capacity Utilization: An Applied Industry Study, Jordan J. Shortt

Data Science Undergraduate Honors Theses

This project develops and evaluates a predictive modeling framework for forecasting distribution center capacity utilization at Company Y, with monthly forecast horizons up to one year. Motivated by the operational challenges of seasonal demand volatility, promotional cycles, and the absence of a formally defined capacity metric, the study first constructs a historical capacity utilization measure from raw warehouse management system data — reconciling item volumes, location dimensions, and utilization factors across all DCs — which serves as the target variable for all modeling work. Four models are developed and evaluated against a naïve seasonal baseline: SARIMA, LightGBM, LSTM, and a …

Developing Tracking Compliance Standards For Inbound Freight: A Data-Driven Industry Application At O’Reilly Automotive, Jackson Endacott

Data Science Undergraduate Honors Theses

Visibility of inbound freight is critical for managing operational efficiency, yet many organizations lack standardized compliance metrics for third-party carriers to uphold, preventing them from utilizing tracking data to make data-driven decisions. During a summer internship with the Transportation Department at O’Reilly Automotive, data inconsistencies were addressed in the Transportation Management System (TMS), and that data was utilized to create tracking compliance standards for third-party carriers. Data populated from various sources within O’Reilly’s TMS was cleaned, validated, and utilized to create a Tracking Scorecard that evaluates message transmission rates, timeliness, and errors. This tool provides actionable insights to improve tracking …

Escaping The Promotion Trap: A Machine Learning Framework For Brand Equity Preservation In Beverage Cpg, Lucas P. Jones

Data Science Undergraduate Honors Theses

When companies acquire beverage brands, they typically value them based on total sales revenue. This traditional approach treats all sales equally over time, whether they are driven by genuine consumer demand or temporary discounts. This is important because while promotions can boost short-term sales, they tend to erode brand value over long periods of time. The measurement problem extends to acquisitions, where buyers lack the tools to distinguish real consumer demand from artificial promotional inflation.

This thesis develops a framework to separate genuine baseline demand from promotional dependence using Nielsen scanner data covering 189 beverage brands across 188,304 weekly observations …

Exploring The Transformative Effects Of Executive Coaching On Leaders: A Qualitative Study, Dwayne Norman

Theses & Dissertations

This qualitative dissertation examines the transformative effects of executive coaching on leaders’ development, personal growth, decision-making, and overall effectiveness across varied organizational contexts. Grounded in authentic leadership theory and employing a generic qualitative inquiry design, the study investigated how leaders who completed executive coaching describe changes in their behavior and mindset. Eleven experienced leaders participated in semi-structured interviews selected through purposive sampling. Thematic analysis, guided by the cyclical and inductive coding methods of Saldana (2021), generated 187 initial codes, which were distilled into 72 final codes. These final codes were then further refined into twelve categories and four overarching themes: …

Fintech Innovation And Strategy In Islamic Financial Services In Indonesia: Mapping Trends And Correlations Through Digital Content Analysis, Faisal Binsar S.T., M.M.S.I, Dr., Muhammad Bayu Drs., M.M., Dr., Arif Budiman S.Kom, M.Kom, Lisa Puspitasari S.E., M.Si., Dr.

International Conference on Business and Management Research (ICBMR)

This study explores the impact of fintech innovations and strategies on the operational efficiency and service quality of Islamic financial services in Indonesia, emphasizing their alignment with Islamic financial principles. Using a descriptive quantitative methodology, the research employs digital content analysis of online reviews and social media discussions to uncover key themes. Advanced analytic techniques, including topic modeling with Gibbs Sampling for Dirichlet Multinomial Mixture (GSDMM) and cosine similarity for inter-topic correlation analysis, are applied to data sourced from various digital platforms. The findings reveal three dominant themes: media and community interaction, the performance and services of Islamic financial institutions, …

Killing Bali (Part I) A Journey From God’S Paradise To Human Inferno, Pierre Fournié, Dr Pierre Fournié

International Journal of Religious Tourism and Pilgrimage

Tourism is growing and growing fast. Before the pandemic, in 2018, the number of arrivals worldwide reached 1.4 billion arrivals from less than 600 million, twenty years earlier. In many countries, especially in developing ones, tourism is perceived as a unique opportunity, a model of territorial development, possibly a national strategy. In Indonesia, after being elected in 2014, former President Joko Widodo (Jokowi) emphasised the importance of tourism, considered as a strategic sector. It had to become the largest exchange currency contributor to Indonesia’s revenue thus bypassing rubber, coal, oil and gas (Fournié & Dou, 2018).

In the collective awareness …

Transformación De La Gestión Del Talento Humano: Impulsores Legales Y Motivacionales En Cundinamarca (Comercio, Servicios, Agricultura Y Educación), Oswaldo Vanegas Flórez, César Augsuto Giraldo Duque, Benjamín Andrés Manjarrés Zárate, Ana María Balcázar Daza, Juan Román Ávila Meléndez

Ciencias Administrativas, Económicas y Contables

Transformación de la gestión del talento humano. Impulsores legales y motivacionales en Cundinamarca ofrece una visión integral sobre la evolución reciente de la gestión del talento humano en sectores clave del departamento de Cundinamarca, Colombia, a través de un enfoque multidisciplinar, analiza los factores motivacionales, administrativos y legales que inciden en el desempeño y la productividad organizacional. Desde la aplicación de la teoría de la autodeterminación en instituciones de educación superior, hasta los retos administrativos en el sector agrícola, cada capítulo vincula marcos teóricos contemporáneos con estudios de caso locales. Los aportes de autores como Deci y Ryan, Lussier y …

Investigating Machine Learning As An Anomaly Detection Tool In College Basketball, Eli G. Whitaker

Honors College Theses

Artificial Intelligence (AI) and Machine Learning (ML) are more commonly becoming tools that organizations use to prevent, detect, and deter fraud. Like other organizations, the amount of fraud that the National Collegiate Athletic Association (NCAA) faces is growing at an alarming rate. The primary issue involves athletes that undermine the integrity of their sport by purposefully playing below their true potential as participants in broader betting-related schemes. This thesis focused on Division 1 Men’s Basketball evaluates the viability of using supervised ML to detect anomalies in team performance over games in recent seasons. Anomalies, like red flags in the context …

Scientific Research In Cuba: A General Analysis With A Special Focus On Energy, Agriculture And Technology, Henri Dou, Pierre Fournie

International Journal of Islands Research

An analysis of science in Cuba is carried out using data from the OpenAlex database. Examples are developed: agriculture, rice, technology in relation to the current situation: national food supply, energy and medicine. The predominance of research in biology and medicine and the low commitment in the fields of agriculture, energy, medicinal plants and technology are highlighted. Various development schemes are proposed. The conclusion is that research must be directed towards strategic areas: food and energy, must be less dispersed and that technology must be better taken into account. Three proposals are made: the development of a chemical analysis platform …

When Metal Theft Becomes A Life Safety Crisis, Alan Saquella

Publications

By any traditional measure, scrap and metal theft has long been categorized as a property crime, costly, disruptive, and frustrating, but rarely viewed as an immediate threat to human life. That framing, however, no longer reflects reality. What was once considered a nuisance crime has evolved into something far more consequential, particularly when it intersects with critical infrastructure.

Building on the risks outlined in “Scrap Disposal: When the End of the Supply Chain Becomes a Brand and Public Safety Risk,” by Marcos Fontes, a more serious dimension comes into focus when essential systems are targeted. In these cases, the impact …