Digital Commons Network^™

The Invisible Fuel: How Corporate Affinity For Technology Drives Resilience, Rachel Gandy

Theses

This paper examines how Corporate Affinity to Technology (CAT) affects organizational resilience among U.S. managers. Based on survey data from 364 managers in the retail, finance, and healthcare industries, this research indicates that the degree of technology use in a firm does not relate to the firm’s level of broadband availability or technology intensity, but rather to the extent to which technology is woven into the fabric of skills development, organizational culture, and the decision-making process. High-CAT firms are resilient under stress; low-CAT firms are fragile, irrespective of the level of technology they have invested in. Recommendations for managers who …

Northern Rainstorm Belt And Response Strategies, Jianping Huang, Xiaodan Guan, Xiaohuang Liu, Xiaohan Shen, Xiaojie Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the summer of 2025, the Northern Rainstorm Belt stretching from eastern Northwest China to the Northeast region exhibited a significant increase in summer precipitation and rainfall frequency over northern China. Cities in the north were frequently struck by extreme rainstorms, resulting in prominent disasters such as “floods in drylands and urban waterlogging”. Northern China spans a vast territory, serving not only as a major grain-producing area and a densely populated region but also as an ecological security barrier that connects the farming-pastoral ecotone and the Loess Plateau. Its stability has nationwide implications. Therefore, comprehensively enhancing flood control capacity, strengthening …

Technology-Driven Risk Governance In U.S. Financial Reporting: The Role Of Cybersecurity Disclosure And Regulatory Technology In Strengthening Capital Market Transparency, Kingsford Brakye, Mary Magdalene Yeboah

Beacom School of Business Student Publications

The rapid digitalization of the financial reporting systems has exposed the U.S. public companies to cybersecurity threats that could impair financial information integrity, the reliability of disclosure, and investor confidence. This paper examines how cybersecurity risk disclosure practices and regulatory technology adoption affect transparency and accountability in US capital markets. The study reviewed existing literature, regulatory guidance, and corporate disclosures in the filings of U.S. public companies, 2020-2026, using a qualitative analytical approach. The results show that the disclosure of cyber risk in corporate reporting is becoming visible in recent years, with the advent of new laws, such as new …

Customer Lifetime Value (Clv): A Qualitative Study From India On How Satisfaction, Relationships, Loyalty And Wom (Word-Of-Mouth) Shape Clv, Sharmistha Bhattacharyya, Mrinmoy Kumar Sarma

Markets, Globalization & Development Review

The study aims to assess the impact of non-financial measures like satisfaction, relationship-related driver, loyalty and word-of-mouth on the lifetime value of customers of small retail businesses. This work is targeted to develop a conceptual phenomenon on the impact of these drivers on customer lifetime value from the viewpoint of owners of the entities. 30 in-depth interviews are conducted. The interviews are analysed following the six-step thematic analysis method. The analysis reveals significant influence of all the four factors. It is found that the participants have their own ways of maintaining these drivers for an enhanced lifetime value. The study …

Risk Identification Of Green Hydrogen Supply Chain In Ammonia Industry In Indonesia Using Delphi And Topsis Methods, Ananda Priatama, Sheila Tobing

Journal of Materials Exploration and Findings

The development of green hydrogen in Indonesia, while promising for supporting industrial decarbonization, remains in its early stages and faces various challenges across technical, economic, and regulatory domains. This study aims to identify and prioritize the risks linked to green hydrogen supply chain in Indonesia, particularly for applications in the ammonia industry. A set of 49 potential risk factors was initially compiled through literature review and prior studies. The Delphi method was employed with a panel of experts to validate these risks, ultimately refining the list to 27 critical risk factors. Subsequently, the Technique for Order Preference by Similarity to …

On Humans And Ai: A Financial Reporting Dilemma, Jeremy Bertomeu, Edwige Cheynel, Radhika Lunawat, Mario Milone

Olin Business School Faculty Research

This study examines the resolution of ethical dilemmas in financial reporting by human participants and large language models. Participants act in the role of a CFO deciding whether to discontinue a prior policy with biased reporting; however, the bias is known and corrected by investors whereas a change may temporarily mislead investors. We find that models are less amenable to competing ethical considerations than humans, and exhibit greater preference for truthful reporting. Moreover, they respond with greater consistency to institutional ethical guidance, while humans become more indecisive under pressure from management. The models exhibit more internal coherence between their moral …

Graph-Augmented Llms For Scalable Malware Detection: Integrating Gft And Rag In Portable Executable Malware Analysis, Matthew Jackson

Undergraduate Research Symposium Podium Presentations

The proliferation of generative AI has exponentially accelerated the generation of novel malicious software. Las Vegas’ gaming industry is a high-value target for these attacks. In 2023, a massive ransomware incapacitated gaming operations, leading to over $100 million dollars of damages and Nevada state services disrupted by cyberattacks in 2025, underscores the critical necessity for capable automated detection frameworks. Traditionally, malware analysis relies on manual, resource-intensive signature extraction by experienced analysts. While Large Language Models (LLMs) demonstrate utility in source code analysis, applying them to compiled Portable Executable (PE) Windows files is bottlenecked by LLM context window limitations and difficulty …

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 …

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 …

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.

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- …

Project Management For Urban Resilience: A Comparative Study Of Governance, Financing, And Risk Reduction Strategies In New York City, Miami, Rotterdam, Venice, And Tokyo, Mirko Viola

Harrisburg University Dissertations and Theses

Urban resilience initiatives are central to climate adaptation, yet cities continue to face persistent implementation challenges related to governance, financing, and project management. This study examines how these three dimensions influence the effectiveness of resilience initiatives using a qualitative comparative case study design across five cities: New York City, Miami, Rotterdam, Venice, and Tokyo. The analysis is based on eleven semi-structured interviews with practitioners across four cities, complemented by document analysis.

The findings show that resilience initiatives are shaped by the interaction of governance coordination, financing structures, and project management practices. Governance systems are complex and fragmented, financing is often …

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 …

Enterprise Risk Management And Firm Performance In China: The Moderating Role Of Risk Management Committee, Liang Yankun

Student Works (2020-2029)

Risk management has increasingly become an interesting topic among the academicians and industry practitioners, following the 2008 global financial crisis. Motivated from the growing evidence of the significant role of Enterprise Risk Management (ERM) in improving firm performance, this study examines the relationship between ERM and firm performance in the context of China. Furthermore, this study explores the moderating role of risk management committee (RMC) on the relationship between ERM and firm performance in China. Drawing upon 94 public listed firms on the Shanghai Stock Exchange from 2018 to 2021, this study finds that ERM has significantly and positively affects …

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 …

Older Adults And Emerging Technology Fraud In The Ai Deepfake Era, Thiago Neves

Research Days

Artificial intelligence has accelerated faster than society's ability to adapt, leaving older adults extremely vulnerable to AI-generated fraud. Americans over age 60 lost $4.9 billion to scams in 2024, 43% more than the previous year. In this research, I investigate how digital illiteracy, combined with AI-generated deepfakes, creates this crisis. Older adults struggle with three principal vulnerabilities: distinguishing legitimate sites from scams, judging whether online information is truthful, and understanding how algorithms use their data. AI weaponizes these gaps through voice clones, synthetic video calls, and personalized phishing emails that avoid the trust cues seniors tend to rely on. I …

Inflation And Interest Rates, Consequences And Prospects For Marketing, Francis R. Whitehouse Jr.

Atlantic Marketing Association Proceedings

No abstract provided.

The Effective Use Of Social Media By Universities May Be More Complicated Than We Think: Toward A Better Understanding Of Social Media’S Impact On College-Related Decisions, Julie M. Pharr

Atlantic Marketing Association Proceedings

No abstract provided.

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.

Using Ai To Develop A Model For Conducting International B2b Sales Without A Passport, Memo Diriker, Judi Billups

Atlantic Marketing Association Proceedings

No abstract provided.

Caring For Caregivers: A Health Care Marketing Opportunity, Yvette Lynne Bonaparte Dr.

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.

Chatgpt In Higher Ed: How To Navigate And Incorporate, Emory Hiott, Darin Gerdes

Atlantic Marketing Association Proceedings

No abstract provided.

Faculty, Be The Nudge For Your Students’ Personal Brand!, Michelle Carpenter

Atlantic Marketing Association Proceedings

No abstract provided.