Digital Commons Network^™

Sustainable Consumer Behavior Modeling: A Complex-Systems Approach To Neuromarketing, Preethi Nanjundan, Nupoor Sanjay Bhute, Ragini Topre, Lijo Thomas

Northeast Journal of Complex Systems (NEJCS)

This study examines the application of complex-systems modeling to neuromarketing data for gaining deeper insights into the mechanisms underlying sustainable consumer behavior. It investigates how neural and biometric responses, interpreted through a systems-based perspective, can uncover dynamic interactions, feedback mechanisms, and emergent behavioral patterns influencing sustainable purchase decisions. The research explores the impact of sustainability-oriented marketing stimuli on long-term behavioral intentions by emphasizing the interconnected roles of cognitive processing, emotional engagement, implicit associations, and collective consumer dynamics. Through simulation-based modeling and structural analysis, the study demonstrates how subconscious neural responses and affective mechanisms mediate the relationship between marketing interventions, consumer …

Back Matter Of Volume 20 Issue 2, Editor Business Review

Business Review

Author Guidelines

Back Matter Of Volume 20 Issue 1, Editor Business Review

Business Review

Author Guidelines

Back Matter Of Volume 19 Issue 2, Editor Business Review

Business Review

Author Guidelines

Back Matter Of Volume 19 Issue 1, Editor Business Review

Business Review

Author Guidelines

Provocable Forgiveness In Noisy Brand--Consumer Systems:An Agent-Based Study Of Repeated Interaction, Tahere Ahmadiyan, Hamidreza Navidi, Behbod Keshavarzi

Northeast Journal of Complex Systems (NEJCS)

Repeated brand--consumer exchange is often treated as a managerial problem of loyalty, recovery, and trust. It can also be read as a small complex system: many local decisions about cooperation, retaliation, and forgiveness accumulate into market-level selection. This study uses that perspective to examine which relational rules survive when communication is imperfect. Eight canonical Iterated Prisoner's Dilemma strategies are translated into marketing archetypes and evaluated through round-robin tournaments, a six-level noise sweep, proportional-fitness ecological dynamics, and finite-population Moran invasion tests. The tournament leaderboard is calculated without same-strategy self-play, so that reported payoffs reflect inter-archetype competition rather than homogeneous self-coordination. At …

Who Pays Dividend? Statistical Explanation And Machine Learning Prediction: Evidence From Pakistan, Zohaib Aziz, Javed Iqbal

The Indonesian Capital Market Review

This study explains and predicts the firm’s dividend payment decision using an unbalanced panel dataset of non-financial firms listed on the Pakistan Stock Exchange covering the period 2009-2020. Several traditional statistical models and modern machine learning algorithms are applied to examine the firm-specific and macroeconomic determinants of dividend decision. Logistic regression and dynamic panel probit models indicate that lagged dividend, firm efficiency and firm size positively influence the firm’s dividend decision whereas leverage and sales growth show negative effects. Lagged dividend is found to be the most influential variable in explaining and predicting the dividend decision while the role of …

Do Voters Understand The Benefits Of Taxes?, Benjamin Carter, Alessandro Del Ponte, Peter Discioli

Political Science Faculty Articles and Research

We use economic experiments to study a fundamental question in political economy: Do voters understand the benefits of taxes? Participants play an economic game as members of a virtual society composed of computer players. In each round, the players earn low or high income, see the distribution of income, and then vote for low or high taxes. We test whether participants vote rationally for high taxes when poor and low taxes when rich, following a classic model in political economy, or whether they focus on the burden of taxes more than the benefits. Across three experiments, poor players voted against …

Building The Next Cybersecurity Workforce: A Grades 7–12 Curriculum To Close The Cyber Talent Gap, Mohammed A. Salam, Iqbal Shareef, Rich P. Manprisio

Journal of Cybersecurity Education, Research and Practice

In today’s rapidly evolving technological landscape, cyberattacks pose increasing threats, yet a global shortage of cybersecurity and digital forensics professionals leaves industries vulnerable, similar to having too few law enforcement officers in a densely populated city. The judicial system faces rising digital crimes and fraud cases, further strained by the lack of experts to analyze and extract digital evidence. Despite high demand, millions of positions remain unfilled. This paper identifies the root causes of the cybersecurity workforce shortage and proposes a targeted solution: a curriculum for Grades 7–12 designed to foster cybersecurity awareness and interest. The methodology included a comprehensive …

Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans

UNL ORCA Interview Series

Fred Luthans was awarded the ORCA in 2008. He was born in Clinton, Iowa in 1939. He earned three degrees from the University of Iowa in Iowa City, located only a few miles from Clinton. His bachelor's was in mathematics in 1961, a Master’s of Business Administration in ‘62, PhD in Management and Psychology in 1965. After serving two years as a captain in the Army at West Point, where he taught psychology and leadership, he joined the University of Nebraska-Lincoln as an Associate Professor of Management. He's had a remarkable career, but I'll only mention three major distinctions. His …

Contemporary Cybersecurity Challenges In Emerging Technologies: A Systematic Literature Analysis, Faztudo Languisse Prof

Journal of Cybersecurity Education, Research and Practice

The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates …

Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's extractive, energy, logistics, and agro-industrial sectors has introduced a cybersecurity challenge of growing urgency: industrial networks that were designed for operational efficiency are increasingly exposed to cyber threats for which neither the organizations nor the regulatory frameworks are adequately prepared. This article examines the cybersecurity governance of IIoT systems in a developing African economy, using Mozambique as a primary case study and drawing comparative lessons from South Africa, Rwanda, and Kenya. Through an integrative literature review and documentary analysis of national digital, cybersecurity, and industrial policies, the …

Human-Driven, Autonomous, Or Hybrid? The Optimal Fleet Configurations For Ride-Hailing Platforms, Wenjing Li, Yali Zhang, Jun Sun, Zhaojun Yang

Information Systems Faculty Publications

The growing commercialization of autonomous vehicles (AVs) is reshaping consumer service preferences and prompting ride-hailing platforms to redesign fleet structures that accommodate the coexistence of human-driven vehicles (HVs) and AVs. This article develops a queueing game framework that incorporates vehicle heterogeneity and consumer preference differences to systematically compare three fleet configuration strategies: the pure HV (PHV) strategy (HVs only), the pure AV (PAV) strategy (AVs only), and the hybrid strategy (both HVs and AVs). The analysis highlights how consumer mismatch losses, AV operating costs, and service rates jointly shape equilibrium outcomes. Results show that when consumer mismatch losses are moderate, …

Signal And Substance: Why Methodological Sophistication Fails To Guarantee Inference, Aamir Rashid, Rizwana Rasheed

Publications and Research

Despite increasing analytical sophistication, empirical research in organization studies continues to suffer from fragile inference, uneven theoretical accumulation, and contested credibility. This paper seeks to explain why these problems persist by shifting attention from authors’ methodological choices to the evaluative dynamics of peer review. Adopting a conceptual and theory-analytic approach, the paper theorizes peer review as an inferential gatekeeping system. Drawing on research design, theory evaluation, and philosophy-of-science literatures, this study develops an analytical framework to examine how evaluative routines shape what constitutes empirical rigor during the review process. The analysis identifies five recurring reviewer blind spots: inferential scope inflation, …

Auditor Trust In Artificial Intelligence, Michael L. Decker

Electronic Theses and Dissertations 2020 - Present

Accounting firms are investing in, and advocating for, the use of Artificial Intelligence (AI) in audit procedures. This dissertation attempts to determine what factors may lead to auditors trusting an AI system. Established models of trust show that traits of the individual user, the system, and the situation all have effects on trust. Prior accounting research also indicates that professional skepticism is an important trait in auditors. This dissertation adds professional skepticism into an established trust model and uses Structural Equation Modeling to investigate auditor trust in audit evidence prepared by an AI system. My results indicate that the most …

Security Architecture Decision Framework For Endpoint Protection In Resource-Constrained K-12 Environments, Jason Folker

Journal of Cybersecurity Education, Research and Practice

K-12 educational institutions face an ongoing challenge in protecting endpoints when budgets and staffing prevent the implementation of standard security best practices. Technology directors routinely make difficult decisions about administrative rights, software controls, and security tooling, but they lack frameworks designed for the constraints and priorities specific to educational environments. This paper develops a security architecture decision framework tailored for K-12 endpoint protection. The framework integrates five weighting dimensions to help technology directors evaluate competing architectural choices. These dimensions include educational impact, security risk reduction, resource requirements, compliance obligations, and operational feasibility. The framework creates structured documentation that helps decision-makers …

Beyond The Romance Of Leadership: Shackleton, Self-Inflicted Crisis, And The Values Of Recovery, Carl Lee Tolbert

The Journal of Values-Based Leadership

Two men answered to the name Ernest Shackleton. One belonged to the ice, where he was pioneering, inspirational, and heroic. The other belonged to dry land, where he was restless, indebted, and unfulfilled (Smith, 2014). The 1914 to 1916 Endurance expedition has become the most celebrated leadership case study of the past century, a status the 2022 discovery of the ship's preserved wreck has only hardened. Public and scholarly sentiment runs overwhelmingly positive. This article reads that sentiment as a late expression of what Meindl and colleagues named the Romance of Leadership, the disposition to attribute outcomes to dramatic individual …

The Character Fractal: A Theory Of Virtue Replication In Organizations, Kevin Davis, Scott Kozlak, Matthew M. Orlowsky, David Levy

The Journal of Values-Based Leadership

Organizational ethics has long been treated as an individual problem requiring individual solutions: the right traits, the right training, the right people in the right roles. This paper argues that framing is fundamentally insufficient. While character and virtue ultimately reside in persons, character development within organizations emerges through recursive ethical interactions shaped by incentives, narratives, feedback loops, and habituation structures cultivated by systems leaders. It replicates, or fails to, across every scale of human interaction, from the unobserved micro-decision of a single employee to the macro-level architecture of executive leadership. Drawing on Mandelbrot's fractal geometry, Lorenz's chaos theory, Kauffman's complexity …

Mental Health Self-Perceptions And Resource Utilization In Undergraduate Students At Binghamton University, Nicole J. Dreznin, Sarah Marcus

Binghamton University Undergraduate Journal

Undergraduate students face increasing rates of mental health challenges, however discrepancies in mental health literacy and utilization of resources may exist across student populations. This study examined the perceptions of mental health in undergraduate students at Binghamton University and if they differed among STEM vs non-STEM, man vs. women, and first-generation vs. continuing generation undergraduate students. A 20-question survey, containing 5 demographic questions and 15 mental health related questions was distributed through Qualtrics to 9 undergraduate classes. The available response choices were based on the Likert scale. A total of 1266 students participated.  Chi square tests of independence were done …

Common Cybersecurity Attack Types And Zeek-Based Detection Strategies In Iot Networks, Christofer Piedra, Alain Edwards

Florida Atlantic Undergraduate Research Journal

As cybersecurity threats increase in scale and complexity, the ability to distinguish hostile traffic from benign network activity is essential. This research examines five prevalent cyberattack categories that impact IoT environments and outlines detection strategies utilizing the open-source Intrusion Detection System (IDS) Zeek. This study provides practical detection methods designed for scalable, real-time environments by classifying five commonly encountered attacks, namely: Reconnaissance, Denial of Service (DoS) and Distributed Denial of Service (DDoS), Brute Force, Man-in-the-Middle (MitM) and Spoofing, and Botnet and Malware Behavior. For each attack, we analyze the prevalence, operational impact, and associated indicators. We also present Zeekbased pseudocode …

Biographies, Editorial Team

Florida Atlantic Undergraduate Research Journal

No abstract provided.

A Comprehensive Overview Of The Quantum Approximate Optimization Algorithm, Vincent Stafford

Florida Atlantic Undergraduate Research Journal

As quantum computing research advances, the Quantum Approximate Optimization Algorithm (QAOA) has emerged as a leading approach to harnessing current quantum hardware for solving complex combinatorial optimization problems. This pedagogical, expository paper outlines the mathematical foundations of QAOA, explains its step-by-step implementation from first principles in a manner accessible to advanced undergraduate students and non-specialists, and explores real-world applications such as protein folding and job scheduling. We also examine the algorithm’s performance challenges, including barren plateaus and circuit depth limitations.

What We Know About Accounting Ratios: Methodological Considerations, Wojciech Kuryłek, Oskar Kowalewski

Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski

Purpose: This paper provides a comprehensive literature review of the methodological aspects of financial ratio analysis, consolidating dispersed knowledge on the computation, statistical properties, and appropriate usage of accounting ratios.

Design/Methodology/Approach: The study adopts a narrative literature review methodology, systematically surveying published research on financial ratio distributions, normality testing, data transformations, outlier handling, the proportionality assumption, dimensionality reduction techniques, compositional data analysis, and recommended ratio sets for corporate financial research.

Findings: Financial ratios predominantly deviate from normal distributions, exhibiting skewness, excess kurtosis, and sensitivity to outliers. Transformation techniques such as logarithmic, square root, and Box‑Cox methods yield mixed results in …

The Gravity Of The Ukraine War: Measuring Conflict Impacts On European Grain Trade, Stefan Bonchis

Graduate Theses and Dissertations

This thesis investigates the heterogeneous structural disruptions caused by the war in Ukraine on the European Union’s agricultural trade architecture, focusing on three critical commodities: wheat, maize, and sunflower seeds. Employing a structural gravity model framework across all 27 EU Member States, the study evaluates two conflict episodes, the 2014 Crimea annexation and the 2022 full-scale invasion, to identify the net beneficiaries and heavily impacted nations within the EU agricultural trade network. The empirical strategy utilizes a dual-test design to capture the full scope of the disruption. Test A (Ukraine towards the EU trade) reveals a distinct geographic logic in …

Cdt-1d Cnn Integration With Simpson-Sobolev Regularization For High-Frequency Options Trading: With Fem-Based Heston Option Pricing, Daniel M. Margolis, Johannes Tausch, Arthur K. Selender

Mathematics Theses and Dissertations

This dissertation presents a computational framework for high-frequency options trading that combines Cross-Data-Type 1-D Convolutional Neural Networks (CDT-1D CNN) with Simpson-Sobolev regularization for directional prediction, and finite element methods (FEM) for realistic option pricing during backtesting. The core innovation lies in developing a mathematically rigorous regularization approach that maintains the adaptability of modern deep learning while enabling accurate evaluation through stochastic volatility models. The primary contribution is the Simpson-Sobolev regularization scheme, which extends traditional Sobolev regularization by incorporating Simpson’s rule for numerical integration. This approach achieves higher-order accuracy in approximating the Sobolev norms that control function smoothness. Simpson’s rule attains …

The Role Of Speculators In The Agricultural Futures Market And Their Impact On Prices, Clement Asamoah

Graduate Theses and Dissertations

The study evaluates the impact of speculative activity on agricultural commodity returns, specifically in the corn, soybeans, rice, and oats markets. The study also analyzed the influence commodity returns have on speculative positions. Weekly data from the Commodity Futures Trading Commission were used as a proxy for speculative activity, and futures data were also retrieved from Barchart. Vector Autoregressive models and the Granger Causality tests were estimated to identify the relationships between returns and speculation. The paper found that speculative positions do not Granger-cause returns over the course of a week except for rice Tuesday results, which recorded a statistically …

Impartial Intelligence? Evidence Of Country-Label Sensitivity In Ai Financial Analysis, Fabio Motoki, Jedson Pinto

School of Accountancy Faculty Publications

This study examines whether large language models exhibit systematic country-contingent differential treatment in financial fraud detection. Analyzing 30,000 synthetic transactions with identical statistical properties across three country attributions (United States, Great Britain, and China), we find LLMs assign significantly higher fraud probabilities to Chinese-attributed transactions (36.2%) compared to Western countries (≈30–31%), resulting in accuracy disparities of 67% versus 74%. The gap remains stable across five independent experimental replications and persists when using Chinese language prompts, ruling out linguistic effects. Bias mitigation strategies, such as requiring explanations or explicit country neutrality instructions, reduce but fail to eliminate these disparities. Testing across …

Operational Agency: A Permeable Legal Fiction For Tracing Culpability In Ai Systems, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern artificial intelligence (AI) systems act with a high degree of independence yet lack legal personhood—a paradox that fractures doctrines grounded in human-centric notions of mens rea and actus reus. This Article introduces Operational Agency (OA)—a permeable legal fiction structured as an ex post evidentiary framework—and Operational Agency Graph (OAG)—a tool for mapping causal interactions among human actors, organizations, and AI systems. OA evaluates an AI’s observable operational characteristics: its goal-directedness (as a proxy for intent), predictive processing (as a proxy for foresight), and safety architecture (as a proxy for standard of care). OAG operationalizes that analysis by embedding these …

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Motivated by the fresh produce industry, this paper studies a farmer’s joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in yield, crop price, and harvesting cost where the latter two are yield dependent and yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic model of a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the optimal expected harvest volume (a measure of crop production). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize how …

2026 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2026.