Digital Commons Network^™

An Evaluation Of The Nebraska Ffa Launch! Program, Miranda M. Hornung

Department of Agricultural Leadership, Education, and Communication: Dissertations, Theses, and Student Research

The purpose of this program evaluation was to discover the experiences of entrepreneurial education received in the Nebraska FFA Launch! Program in relation to future decisions for high school students about entrepreneurship. The Launch! Program aims to provide an educational experience for youth to develop an entrepreneurial mindset and view entrepreneurship as a possible career pathway. This focus addresses the opportunity to potentially help solve the issue of brain drain in rural Nebraska communities. A program evaluation was conducted by story harvesting from past participants through Zoom interviews to understand personal experiences and takeaways from their time in the Launch! …

Emergent Dynamics In Multiplex Social Networks: Agent-Based Modeling Of Information Diffusion For Misinformation Control, Harshvardhan Prabhakar Ghongade, Anjali Ashokrao Bhadre, Shivani Agarwal, Harjitkumar Uttamrao Pawar, Harshal Subhash Rane

Northeast Journal of Complex Systems (NEJCS)

Information misrepresentation is widespread in multi-layered social networks which provide multiple avenues to communicate information. As such, it presents significant opportunities for both information integrity and public discourse to be undermined by disinformation. This paper outlines a new agent-based model, developed to capture emergent dynamics of multi-layered social networks and to help identify technical means to mitigate information misrepresentation in complex systems. A key component of this research includes a novel Multi-Layer Information Diffusion Model (MLIDM), integrating both cross-layer communication among agents, as well as heterogeneous agent behaviors and adaptive intervention strategies. Our methods employ a three-stage process to model …

Teaching With S2scc-Ai: A Practical Framework For Sport Management Classrooms, Kimberly D. Bynum, Wendy T. Gillis

The COSMA Journal

ABSTRACT

Generative artificial intelligence (AI) technologies, including tools such as ChatGPT, Claude, and Perplexity, are radically changing how higher ed students approach their college learning experience. These shifts are especially impactful in undergraduate sport management programs, where employers expect graduates to demonstrate teamwork, critical thinking and digital literacy skills. As AI becomes embedded across sport industry functions such as event operations, marketing, analytics, and fan engagement, higher ed pedagogy must evolve to reflect the professional contexts students are preparing to enter. In this paper, Student-to-Student Co-Creation enhanced by AI (S2SCC-AI) is advanced as a practical, COSMA-aligned pedagogical framework for leveraging …

Athletic Training Students Learn And Compete At Regional Level, Lindenwood University

Archived Lindenwood Press Releases

No abstract provided.

Analyzing Social Media Content Strategies That Drive Engagement For Independent Hairstylists, Aurora Batts

Honors Theses

This study explores how social media, has changed the way independent hairstylists market themselves and connect with clients. Social media has become a huge tool in the beauty industry, allowing stylists to showcase their work, build their brand, and attract new clients. Because platforms like Instagram act as a digital portfolio, clients are making decisions based on what they see online rather than just location or recommendations.

Due to this shift, it is important to understand which types of content perform well and generate engagement. This study focuses on identifying the specific content characteristics that lead to higher engagement for …

Green And Clean: Case Studies Featuring The Shift Toward Healthier Consumption, Mckay Orwig

Honors Theses

This thesis is composed of eight accounting case studies investigating the impact of the “Make America Healthy Again” (MAHA) movement on corporate operations, and other narratives. Dr. Dickenson assigned and advised the case studies throughout the course of Honors Accountancy 420. During the fall semester, we were assigned several individual case studies that broadened our background knowledge on legislation and the MAHA movement, as well as having the opportunity to hear from professionals from leading firms.  During the spring semester, Dr. Dickenson placed us in groups to research our assigned companies, my group ultimately assigned the international snacking company, Kellanova. …

Modeling Flood-Induced Cascading Disruptions In The Indian Electronics Supply Chain Using Influence Network Analysis, Surendra Orupalli, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

This study investigates flood induced disruptions in the Indian electronics supply chain using influence network analysis. Monsoon floods are recurring hazards that significantly impact economic activities, logistics, and industrial productivity. This study integrates district-level rainfall data (2020 to 2025) with supply chain network models to quantify cascading failures. The methodology applies rainfall thresholds (≥ 300 mm/month) to identify flood-prone districts and constructs a stochastic influence matrix representing inter-firm dependencies. Flood propagation dynamics are modeled iteratively with a propagation coefficient (α = 0.6) and convergence threshold (ε = 10⁻⁴). The resulting disruption profiles are mapped onto company-level revenues calibrated to India-specific …

Rethinking Consumer Data And Behavior, Nicole J. Olynk Widmar, Michael L. Smith, Erin Robinson

Purdue University Press Books

Today’s food and agricultural consumers are driven by more than just price—they are influenced by trust, values, and perceptions that are often difficult to measure. Rethinking Consumer Data and Behavior explores what truly shapes consumer choices and how businesses can respond effectively.

This book utilizes research on loyalty, risk, sustainability, and ethical considerations, revealing how these factors influence purchasing decisions in ways traditional data often misses. It examines consumers’ willingness to pay for local and organic products, the impact of food labeling and safety messaging, and the surprising role of sensory cues such as appearance and taste. The book also …

Visual Attention And User Satisfaction In Ota Platforms: An Eye-Tracking And Big Data Approach, Aura Lydia Riswanto, Seieun Kim, Hak-Seon Kim

Faculty and Student Publications

Purpose – This study aims to investigate how visual attention to online travel agency (OTA) app elements influences user behavior and satisfaction by integrating experimental and real-world data.

Design/methodology/approach – This study used a multi-method approach combining an eye-tracking experiment with 40 participants, a post-experiment survey on usage intention and big data analysis of 5,547 Google Play reviews from five major OTA platforms, using text mining and regression techniques.

Findings – The eye-tracking results showed that users focused most on user reviews and app information, rather than logos or app names. Visual attention to reviews significantly predicted higher usage intention …

Application Identification With Pfsense, Snort, And Openappid In Academic Lab Networks, Minh-Khanh Vu

Journal of Cybersecurity Education, Research and Practice

This paper evaluates the practical capabilities and limitations of a widely used open-source network security stack—pfSense firewall, Snort Intrusion Detection System (IDS), and OpenAppID detectors—in academic cy- bersecurity laboratories and small-to-medium enterprise (SME)-like environments. In a controlled virtual testbed, we measure application-level and feature-level identifi- cation performance for major applications (Facebook, YouTube, Zoom) using the pfSense/Snort/OpenAppID configuration. The stack achieves 97% application-level identification accuracy for these applications in our lab dataset, drawing on a library of 3,374 OpenAppID detectors. However, our experiments reveal a substan- tial feature-level detection gap: specific functions such as Zoom file transfers and Facebook messaging can- …

Ethical Decision-Making Frameworks In Ai-Driven Pharmaceutical Research & Development, Dhaval Dinesh Panchal, Osama Mohd Hash Ansari, Sudha Divya Madhuri Kallam

Harrisburg University Dissertations and Theses

Artificial intelligence is increasingly being utilized in pharmaceutical research and development to speed up drug discovery, enhance clinical trial design, and support regulatory decision-making. However, the increasingly rapid adoption of AI in the pharma industry has outpaced the development of consistent ethical governance, raising concerns related to data privacy, transparency, regulatory compliance, and stakeholder trust. This study explored the methods by which project managers could develop and utilize ethical decision-making frameworks to facilitate responsible AI implementation in pharmaceutical research and development. Guided by the Responsible Innovation framework, this research employed a mixed-methods design combining semi-structured interviews and quantitative surveys with …

The Sixth Sense Garment: A State-Of-The-Art Framework For Sustainable Neurofashion, Andrew Burnstine

Faculty and Staff Publications & Presentations

No abstract provided.

Digital Touchpoints: Investigating Contact Page Accessibility And Visual Authenticity Within Medical Tourism Health Websites, Alicia Mason, Elizabeth Spencer, Kristen Livingston, Treyton Meyers, Sakshi Bhati, Himika Akram

Faculty Submissions

This study examines two critical digital touchpoints on medical tourism provider (MTP) websites: (1) the accessibility of contact pages which often function as entry points for inquiries, scheduling, and pre-travel coordination, and (2) the authenticity of visual imagery used to shape expectations about care environments, personnel, and technological capacity. A sample of 105 MTPs across all six World Health Organization regions were analyzed using quantitative web accessibility testing and qualitative visual analysis. Results indicate pervasive accessibility errors on contact-page touchpoints and extensive reliance on inauthentic imagery to depict patients, providers, and medical technologies. Together, these practices may distort user expectations …

Essays On Innovation And Financial Markets Cryptoassets And Other Financial Technologies, Zachary Ethan Glatzer

Electronic Theses and Dissertations 2020 - Present

In this manuscript, I present essays that examine the role of innovation in financial markets. The first essay introduces a classification framework for cryptoassets. Existing approaches either apply overly broad economic-function criteria or rely on narrow legal definitions, neither of which adequately captures the diversity of digital assets. This essay proposes a two-track framework that integrates both functional roles and technical structure. By bridging the gap between traditional asset categories and emerging digital instruments, this framework offers actionable guidance for policymakers assessing regulatory treatment, practitioners evaluating risk profiles, and academics engaged in research at the intersection of digital finance and …

Health Insurance Literacy Among College Students At The University Of South Carolina, Emma J. Smith, Lorie Donelle Phd, Rn, Fcan, Robin Dawson

Caroliniana Undergraduate Research Journal

Purpose: This study aims to investigate the health insurance literacy skills of graduate college students and undergraduate college students.

Methods: A cross-sectional research design incorporated a 20-item questionnaire to examine college students’ knowledge of common health insurance terms and definitions, as well as their perceived understanding of health insurance. Descriptive analyses were conducted of participant demographics, health insurance literacy scores were summarized, and common health insurance policies were tested through a readability checker.

Results: The majority of students were between the ages of 18-25 and undergraduate students. More than half of the participants were female, and more …

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 …