Operations and Supply Chain Management Commons^™

Neo Banking Adoption Among Banking Customers: An Empirical Study Using Pls-Sem, Sree Bhoojitha V, Vishnucharan N S

Journal of Global Management Research

The rapid advancement of financial technology has fundamentally transformed the banking landscape, giving rise to neo banks — fully digital banking platforms operating without physical branches. Despite the growing significance of neo banking in India, customer awareness and adoption remain evolving areas requiring systematic investigation. This study, titled "Study on Neo Banking Adoption by Banking Customers," examines customer awareness, usage patterns, satisfaction levels, and the key factors influencing adoption intention of neo banking services. Grounded in the Technology Acceptance Model (TAM), the study incorporates Perceived Usefulness, Perceived Ease of Use, and Trust as independent variables influencing Neo Banking Adoption Intention. …

Navigating Environmental, Social, And Governance (Esg) Risks In The Online Food Delivery Platforms: Using Sentiment Analysis Approach, Maryam Mahdikhani, Jiyoon An, Arim Park

Atlantic Marketing Association Proceedings

No abstract provided.

The Regionalization Of The North American Auto Industry: A Comparative Analysis Of Automotive And White Goods Trade Under Nafta And The Usmca, 1990-2024, Helen Alexandra Helfgott

Master in Public Policy Theses

This research examines whether the auto-specific provisions introduced under the North American Free Trade Agreement (NAFTA) and the US-Mexico-Canada Agreement (USMCA) have had a measurable regionalizing effect on North American export flows. The USMCA's auto-specific provisions, established in the rules of origin requirements (ROOs), increase regional value content requirements (RVC) while imposing new requirements for labor value content (LVC), steel and aluminum sourcing, and core parts. This research assesses whether these provisions are associated with a distinctive pattern of intra-regional export concentration not present in other sectors.

The study employs a descriptive comparative framework using data from UN Comtrade, spanning …

The Offense-Defense Balance And The Modern System In Ukraine, Daniel Hogestyn

Master in Public Policy Theses

This thesis evaluates whether the Russo Ukrainian war represents a revolution in military affairs (RMA) by testing Stephen Biddle’s "modern system" theory of battlefield outcomes against recent combat operations. Applying Biddle’s formal model to the 2023 Ukrainian offensive in Zaporizhia, the thesis finds that the offensive's failure conforms closely to Biddle’s causal logic, with force employment variables drawn from 20th century combat sufficient to account for the outcome. Biddle's model in military power argues that force employment has explained victory and defeat since World War I, rather than technology or numerical preponderance alone. Many commentators claim that proliferation of small …

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 …

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

Atlantic Marketing Association Proceedings

No abstract provided.

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

Atlantic Marketing Association Proceedings

No abstract provided.

The Impact Of Big Data Analytics Powered By Artificial Intelligence On Supply Chain Resilience And Corporate Social Responsibility, John Dickens, Hasan Uvet, Antonina Bauman, Sally Hiott

Atlantic Marketing Association Proceedings

No abstract provided.

Data Tracking And Analytics Within Inventory Management: Coffee Shop And Retail Store Optimization, Mateo J. Moyon

Senior Theses

This thesis examines the application of inventory management theory in the small and medium-sized business context, with a specific focus on the food and beverage industry. Drawing on the foundational academic literature spanning from Harris’s EOQ formula in 1913 through stochastic inventory theory, ABC analysis, and just-in-time strategy, this paper establishes the mathematical and operational bases for modern inventory management practice. Although there are proven value to these frameworks, research demonstrates that small to medium sized businesses adopt inventory management systems at lower rates citing cost and implementation as barriers. This thesis argues that the emergence of low-cost inventory and …

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 …

Expanding Waste Segregation Initiatives To Reduce Regulated Medical Waste: A Multi-Departmental Quality Improvement Project, Emily M. Su, Anuja L. Sarode, Mohammed Sami, David R. Nehring, Erica L. Laipply, Mustafa Culcuoglu

HCA Healthcare Journal of Medicine

Background

Regulated medical waste (RMW) drives up health care costs, largely due to misclassification of general waste, especially in operating rooms (ORs), intensive care units (ICUs), and obstetrics and gynecology (OBGYN) departments. This study aimed to reduce RMW volume and costs at Akron City Hospital (ACH) through department-specific interventions aligning with Occupational Safety and Health Administration (OSHA) and Ohio Environmental Protection Agency guidelines.

Methods

Periodic analyses compared hospital-wide aggregate RMW volume, pick-up frequency, and disposal costs before and after interventions. The ORs initiated interventions in October 2022, expanding to ICUs and OBGYN by February 2024. Strategies included staff education, flyers …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

First Portfolio – Mngt 475: Business Strategies, Lisa Tschauner

UNL Faculty Course Portfolios

MNGT 475: Business Strategies serves as the undergraduate strategic management capstone course in the University of Nebraska–Lincoln College of Business. The course integrates knowledge from accounting, finance, economics, marketing, management, supply chain management, analytics, and entrepreneurship while providing students with opportunities to apply strategic frameworks to authentic business challenges. This portfolio documents the design, implementation, assessment, and continuous improvement of the course, with particular attention given to experiential learning and the comparison of two instructional models: a traditional case-study project and a real-world industry-partner consulting project. Drawing upon Kolb’s Experiential Learning Theory, self-reflection, self-efficacy, and teamwork constructs, the portfolio examines …

Keurig Dr Pepper Strategic Audit, Huy Le, Ethan Zen, Sierra Perkins, Jack Hudson

Honors Program: Senior Projects (Public)

We analyze Keurig Dr Pepper's current strategic position following its acquisition of JDE Peat's. We determine its strengths, weaknesses, opportunities, and threats within its market share and make recommendations for future business ventures and strategic positioning.

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 …

Pause For Thought – Exploring Ai Error In The Assessment Of Industrial Sustainability Reports, Jake Mooney, Colm Tormey, Cillian Gleeson, Shane Hoban, Dylan Kirby, Christine Nangle

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

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 …

Gap, Inc. : A Strategic Audit Of Gap, Inc. Company, Amber Hanson, Ike Mcley, Sophie Thomas, Avery Plessel, Kira Pavlik

Honors Program: Senior Projects (Public)

The following paper is a comprehensive overview of the company Gap, Inc., a leading global retailer with a diverse brand portfolio that includes Gap, Old Navy, Banana Republic, and Athleta. They compete in the Family Clothing Industry through their operation of over 3,352 brick-and-mortar stores along with offering their digital shopping platform to align with changing consumer preferences. Gap, Inc. plans to maintain financial rigor, reinvigorating its brands, and strengthening its platform. Their strengths are found in their expanding e-commerce segment and their strong commitment to sustainability. Through a broad differentiation strategy, Gap, Inc. targets a diverse consumer demographic across …

Does Ai Help Or Harm? Why And How Ai Use Influences Workplace Outcomes And Employee Well-Being, Haille Trimboli, Reka Lassu

Education Division Scholarship

Although the recent surge in excitement surrounding artificial intelligence (AI) might suggest it is a new development, AI has been applied in organizations for over forty years (Fanti et al., 2022; Markelius et al., 2024). Indeed, the term "artificial intelligence" itself emerged in the 1950s during a research project at Dartmouth College, where it was used to describe "machines able to simulate human intelligence" (Haenlein & Kaplan, 2019, p. 3). Most recently, in 2022, the landscape of AI use for laypeople greatly changed when OpenAI introduced ChatGPT, a generative AI tool, to the public; ChatGPT is an advanced AI language …

1 – 1 > 0: Growing The Pie By Reallocating Shelf Space To Small Brands, Jesse Core, Ho Kim

AMTP Proceedings 2025

We examine whether reallocating shelf space to smaller brands enhances total category sales. During a three-month field experiment involving 20 supermarket stores in Arkansas (10 treatment and 10 control stores), we increased shelf facings for smaller brands in treatment stores and reduced facings for larger brands, while maintaining the total shelf space constant. A difference-in-differences analysis reveals that increasing facings for smaller brands significantly boosts total category sales, with an average increase of 960 ounces per week during the intervention. Notably, sales remained elevated by 786 ounces per week after shelf facings reverted to the original level, indicating a persistent …

The Impact Of Artificial Intelligence On Fashion And Retail Efficiency: A Strategic Analysis, Andrew Burnstine, Raouf Ghattas

Faculty and Staff Publications & Presentations

No abstract provided.

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 …

Harvest Gold Distillery, Alexis Mackey, Alexander Grecco, Cole Smith, Maggie Patterson, Blake Benko

Williams Honors College, Honors Research Projects

The goal of our research project is to establish and grow Harvest Gold Distillery: a corn-based liquor distillery in Ohio that aims to produce and sell high-quality spirits while offering unique services that enhance outreach in the community. The motivation behind this business venture is rooted in one of our team member’s family traditions; Alex’s family makes homemade liquors, which has fostered an in-depth understanding of the distillation process. Alex’s firsthand experience with the craft provides a solid foundation, yet we recognize that starting a distillery involves significant challenges and requires thorough research in several functions of business. This project …

Determining The De-Dieselisation Priorities Of Distributed Diesel Generators In An Electricity Company, Kresna Nurdianto, Ratih Dyah Kusumastuti

Journal of Environmental Science and Sustainable Development

The Indonesian Electricity Company (PLN) is one of the main players in the energy transition in Indonesia, and the company plans to achieve net zero emissions by 2060. One way to do this is by implementing the de-dieselisation program, i.e. reducing the use of diesel power plants (PLTD) with new energy and renewable power plants. The Indonesian electricity supply business plan (RUPTL) 2021-2030 targets the reduction of electricity supply from PLTD by 87% by 2030. The program requires a method to determine the order of priorities of PLTDs to be de-dieselised. This research uses multicriteria decision making, namely, analytical hierarchy …

Navigating Workforce Utilization Metric In The Indian It Industry: A Multifaceted Study, Shipra Jha

Management Dynamics

The measurement of workforce utilization is a critical concern for organizations, especially within the dynamic landscape of the IT industry. This research explores the multifaceted nature of utilization metrics by devising Utilization Insight Elicitation Framework (UIEF), focusing on three major themes: defining utilization and understanding the significance, assessing its impact on employee well-being, and contemplating its future relevance. Examining utilization from cost and revenue perspectives reveals how organizations optimize costs while ensuring project profitability. The study scrutinizes the balance between cost-focused and headcount-centered approaches, considering employees' roles and project demands. Additionally, it discusses factors for inclusion/exclusion in utilization calculations and …

The Practical Adoption And Application Of Blockchain Technology Within The Beverage Industry, Alexander Adams Jr

Electronic Theses, Projects, and Dissertations

Abstract

The beverage industry is facing heightened scrutiny as the demand for transparency and accountability reaches new heights. In the age of information technology, companies must prioritize enhanced traceability to ensure product safety, comply with government regulations, maintain customer trust, and protect brand integrity. This thesis explores the potential of blockchain technology as a solution to these challenges, focusing on its ability to decentralize data, improve traceability, and expedite response times during safety recalls. The research provides an overview of the evolution of food safety regulations, beginning with the first establishment by Upland Sinclair, and examines current traceability practices and …

Navigating The Landscape: Perceptions, Motivations, And The Journey Of Data Professionals In Implementing Data Processes And Procedures, Willie Rivers

Dissertations

This explanatory study investigates the motivations behind data professionals' willingness or resistance to implementing data policies and procedures, utilizing the Theory of Planned Behavior and Psychological Ownership as frameworks. Through interviews with 21 data professionals, the research explains how factors such as perceived control, ownership, and attitudes towards data processes influence their motivation. The study tests key propositions, including the impact of perceived time burdens, bureaucratic procedures, and organizational expectations on data governance engagement. The findings underscore the critical role of control and access to information in motivating the adoption of data policies, providing insights for organizations aiming to enhance …

Enhancing Customer Support Operations Through Gpt & Q-Learning: A Model Study, Adam Alidra, Bob O'Brien, Dalton Young

SMU Data Science Review

Abstract. “Growth strategies that are purpose-led, customer-centric, experience-driven, data/AI-enabled, and technology-scaled require new mindsets…” (Cornfield, 2021). What can we take from this? Business growth and customer experience are inextricably tied together. Therefore, thriving, as an organization, is dependent on reimagining enterprise operations through modern, scalable data and AI technologies. Our study aims to enhance support operations with emerging AI capabilities, including OpenAI’s LLM models, built on self-attention mechanism transformer architecture, and tailored for business needs through prompt engineering. Our research uses Markov Decision Process and the Q-learning algorithm to evaluate synthetically created support incidents. Through this set of methods, our …

Spatiotemporal Negative Inventory Outlier Decomposition For Supply Chain Applications In Consumer-Packaged Goods (Cpg), Hayden Mcdonald

Data Science Undergraduate Honors Theses

Coca-Cola is a popular soft drink brand with sales occurring in every Walmart store across the world, which generates large quantities of data and requires a robust supply chain system. However, the company does not currently have a sophisticated, automated, and/or prescriptive system for detecting where, when, and why inventory outages occur and applying preventative measures to avoid loss of revenue from the absence of inventory on store shelves. This thesis proposes and applies a novel, prescriptive system for this purpose. An inventory outage can be seen as a ‘negative’ statistical outlier in a time series of inventory for an …