Business Analytics Commons^™

Research On The Characteristics Of Energy Storage Technology Transfer Networks From The Perspective Of Patent Transfer, Mingli Zhu, Zhanlei Yao

Journal of Scientific Information Research

[Purpose/significance] Energy storage technology is crucial for addressing climate change and promoting energy transition. A comprehensive examination of energy storage technology and its regional industrial development trends under the context of China's unified national market has significant practical implications for promoting the flow of scientific and technological innovation resources, facilitating achievement transformation, and narrowing regional innovation gaps. [Method/process] This research focuses on patent transfer data to investigate the evolutionary characteristics of technology transfer networks, firstly establishes a novel patent transfer record extraction model to detect technology transfer phenomena. Secondly, it employs the gravity center model to quantitatively analyze the spatial …

Quantifying Overconsumption In The United States: A Multiple Linear Regression Analysis, Morgan Davis

Honors Projects

This study examines overconsumption in the United States by analyzing how socioeconomic factors influence household spending relative to income. Overconsumption is defined as elevated discretionary spending relative to income, with a focus on categories such as apparel, entertainment, and food away from home. Using 2024 Consumer Expenditure Survey (CEX) data, three multiple linear regression models were created to evaluate predictors of overall consumption, discretionary consumption, and apparel spending as proportions of income.

Results show that income is the most significant predictor across all models, with higher-income households consistently spending a smaller share of their income. Age and household size also …

Advancing Sustainability In The Indonesian Oil Field Services Landscape, Firmansyah Arifin, Sudarso Kaderi Wiryono, Sylviana Maya Damayanti, Gatot Yudoko

The Qualitative Report

This study examines sustainability practices in Indonesia's drilling and oil field services (OFS) industry, addressing a critical research gap from a business and management perspective. Using a qualitative case study approach, ten in-depth interviews with industry leaders identified key performance variables and developed a sustainability model specifically designed for the OFS drilling sector. The findings highlight three core dimensions: Internal Variables (e.g., Employee Health and Safety, CSR Initiatives, ESG Performance, Cost Savings, Energy Efficiency, Carbon Footprint Reduction), External Variables (e.g., Green Financing, Stakeholder Engagement, Community Welfare), and Performance. Novel contributions include operationalizing advanced HSE technologies like cyber rigs and tailored …

Predicting Telecom Customer Churn: A Statistically Validated Kpi Framework With Machine Learning And Revenue Impact Modeling, Moeez Islam Malik '27, Amy Ehinomen Eremionkhale

Student Research

This capstone project addresses a core business problem in the telecommunications industry: how to detect, measure, and prevent customer churn before it occurs, using a KPI framework validated by statistical analysis and machine learning. Applied to 7,043 customer records across 37 variables from a California-based telecom operator, the analysis integrates descriptive KPI computation, Pearson correlation analysis, chi-square tests of independence, and logistic regression churn prediction. The research confirms that customer tenure (r = −0.352, p < 0.001) and contract type (Cramér's V = 0.410, p < 0.001) are the dominant predictors of churn, and that a logistic regression model achieves AUC-ROC = 0.8307 — sufficient for proactive deployment. A 5-percentage-point churn reduction preserves $273,670 in annual revenue and $1.55M in customer lifetime value. The project delivers an integrated analytical framework, a predictive retention model, a 16-chart visualization suite, and a 12-page Power BI executive dashboard.

Does Moneyball Still Win Games? A Twenty Year Analysis Of Mlb Success, Kevin Wright

Honors Theses

This thesis evaluates whether the core principles of the Moneyball ideology continue to predict team success in Major League Baseball in the modern analytics era. In the last two decades, the widespread adoption of advanced statistical methods across all franchises has raised the central question of whether the original inefficiencies Moneyball exploited may no longer exist. To address this, this study analyzes twenty years of team‑level data from 2005-2025 (excluding 2020), incorporating seven performance metrics historically or conceptually tied to Moneyball which include OBP, WHIP, FIP, DRS, SB%, clutch, and wins per dollar, alongside demographic controls. Success is measured across …

Creating Strategy-Focused Universities Using The Balanced Scorecard And Accreditation Framework, Mohammed Fayazuddin, Balaji N, Sankar Ganesh

Journal of Global Management Research

The Balanced Scorecard (BSC) is a versatile framework for performance measurement and strategic management. It has been widely successful in helping businesses and institutes of higher education (IHE) implement strategies and achieve their mission and vision by maintaining a balance between financial and non-financial metrics. Globally, numerous universities have adopted the BSC to enhance quality and address the needs of stakeholders effectively.This study explores the adoption of the Balanced Scorecard in universities, examining its advantages, prerequisites, and challenges. It also establishes a link between the four perspectives of the BSC—financial, customer, internal process, and learning and growth—and the thirty-four key …

Foreign Pedagogy In Education: Theoretical Foundations, Cross-Cultural Dynamics, And Implications For Global Learning, Chitra Venugopal, Prabhakar Rontala Subramaniam

Journal of Global Management Research

This conceptual paper examines foreign pedagogy as a critical lens for understanding how teaching philosophies, instructional strategies, and educational values travel across cultural and national boundaries. Drawing on comparative education, sociocultural theory, and postcolonial scholarship, the paper investigates the processes by which pedagogical models are borrowed, adapted, or imposed between educational systems. It argues that foreign pedagogy is not a neutral transfer of knowledge but a deeply ideological practice shaped by power, cultural epistemology, and institutional context. The paper identifies five central themes: the philosophical roots of major global pedagogical traditions, the mechanisms of pedagogical transfer and borrowing, the tensions …

Green Corporate Responsibility And Sustainable Human Resource Management (Hrm) Functions, Sundara Boopathi R, Shanmugam Sundararajan

Journal of Global Management Research

In order to encourage employee sustainability behavior and achieve long-term organizational success, Green Corporate Responsibility and Sustainable Human Resource Management (HRM) departments place a strong emphasis on incorporating environmental principles into HR processes. Within the context of Green Corporate Social Responsibility (GCSR), this study investigates how Sustainable Human Resource Management (Green HRM) functions affect Organizational Sustainability through the mediating roles of Pro-environmental Behavior (PEB) and Pro-environmental Psychological Climate (PEPC). based on the Resource-Based View (RBV), Social Exchange Theory (SET), and Ability-Motivation-Opportunity (AMO) theory. By incorporating six essentials Green HRM practices-green hiring and selection, green training and development, green performance evaluation, …

Identifying Skill Gaps And Upskilling Priorities For C-Level Executives Using The Analytic Hierarchy Process (Ahp) Analysis, Mohamed Riyazhkhan, Mohsin Aziz, Krishna Murthy, Abdul Azeez K M, George Anthony Fernando

Journal of Global Management Research

C-level executives, or chief-level executives, play a significant role in corporate development, and their roles and responsibilities are essential for sustaining organizational effectiveness in an increasingly competitive business environment. They also constitute a fundamental component of organizational management systems (Julie & Emory, 2006). In this research, data were collected exclusively from C-level or C-suite executives (CEO, CFO, COO, and CHRO) from leading corporations in Oman and India. This study investigates three representative cases related to managerial functions across various corporate organizations. The first case examines the job descriptions associated with C-level executives, the second case explores the identification of skill …

A Critical Perspective On Artificial Intelligence's Energy Footprint And Future Research Questions For Accounting And Business Research, Dr Mansi Mansi, Rakesh Pandey

Journal of Global Management Research

No abstract provided.

Reinforcement Learning Approaches For Intelligent Budget Management: A Comparison Of Traditional Budget Model With Q-Learning, And Deep Q-Network Models, Danish Yaqub

Create@State

This study explores the application of Reinforcement Learning (RL) techniques to improve personal budget management and financial decision-making. A traditional rule-based budgeting model is first developed as a baseline approach, where income is allocated to expenses, savings, and debt payments using fixed financial ratios and predefined rules. Although this approach provides a structured framework for financial planning, it lacks adaptability and cannot dynamically optimize decisions when financial conditions change.To address these limitations, two reinforcement learning models—Q-Learning and Deep Q-Network (DQN) are implemented and compared with the traditional budgeting model. In the Q-Learning model, an agent interacts with simulated financial states …

The Convergence Of Big Data And Ai, Prasanna Rajbhandari

Create@State

Big data and artificial intelligence are transforming how organizations analyze information and make decisions. Traditional analytics struggle with large, distributed, and unlabeled datasets. Modern AI systems must adapt quickly, preserve privacy, and extract meaningful insights from complex data environments.

Ownership Duration In The U.S. Business Jet Market, Yuchen Hu

SACAD: Scholarly Activities

This study analyzes ownership duration in the U.S. business jet market using FAA registry data as of February 16, 2026 (N=12,359). The analysis reveals a structured distribution with a mean of 5.86 years and a median of 5.00 years. Crucially, retention varies by acquisition status: new aircraft owners exhibit an average hold of 7.36 years, whereas pre-owned aircraft holders show a significantly higher turnover of 5.11 years, with most resales occurring within a 3–7-year window. These findings suggest that ownership behavior is driven by structured asset management and lifecycle planning, providing a predictive framework for identifying aircraft replacement and trade-in …

Developing Strategies For Pce Outreach, Mariah Blankenbaker, Gordon Carlson, Daniel Adesoji, Levi Eck

SACAD: Scholarly Activities

In collaboration with Professional and Continuing Education (PCE), we produced projects to automate their internal tasks, as well as to promote their services. By taking advantage of software techniques, we bridged live-action footage with 2D and 3D computer visuals for promotional material. In addition, we researched the capabilities of creating a custom Generative Pre-trained Transformer (GPT) and trained it to analyze and interact with thousands of industry datapoints.

A Dynamic Systems Framework For Customer Lifecycle Management: From Latent State Discovery To Robust Control Policy, Ali Nasirzonouzi

Northeast Journal of Complex Systems (NEJCS)

Traditional marketing often relies on static strategies that fail to capture dynamic customer behavior. This paper introduces an integrated framework to model and control the customer lifecycle, bridging the gap between empirical data and computational simulation. Using the Customer Personality Analysis dataset, we implemented a five-stage methodology. We first identified three distinct customer segments (At-Risk, Standard, High-Value) using Gaussian Mixture Models. To address the lack of longitudinal data, we calibrated a normative transition model based on customer inertia principles. Our analysis revealed that marketing effectiveness is highly state-dependent; notably, At-Risk customers exhibited a 33.5% lift when targeted with catalogs. Leveraging …

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.

Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An

Atlantic Marketing Association Proceedings

No abstract provided.

Global Apparel Companies Adjusting Their Supply Chain Strategies To Post-Covid-19, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Geomarketing: Revolutionizing Market Strategies And Enhancing Spatial Decision-Making Through Ai-Driven Insights, Mark J. Sciuchetti Dr., Jianping Huang

Atlantic Marketing Association Proceedings

No abstract provided.

Sustainability And Technology Aspects Of Supplier Performance, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.