Digital Commons Network^™

From Reviews To Value: Harnessing Crowdsourced Data To Capture Visitor Perceptions And Economic Benefits Of Recreation, Laura Costadone, Shan Zhang

ODU Articles

Quantifying the recreational value of protected natural areas is essential for sustainable management, conservation financing, and informed decision-making. Traditional approaches, such as on-site surveys, are often costly, spatially limited, and constrained by regulatory barriers. This study evaluates the potential of crowdsourced user-generated data to jointly assess visitor perceptions and the economic value of nature-based recreation, using Back Bay National Wildlife Refuge (Virginia, USA) as a case study. We integrated georeferenced photographs and textual content from four platforms (Flickr, TripAdvisor, Yelp, and AllTrails) with supplementary survey data to analyze visitation patterns, visitor sentiment, cultural ecosystem services, and recreational value using the …

Urban Megaregions In The United States: A Gis-Based Approach To Defining A New Regional Geography, Jonas Rugys

West Chester University Graduate Theses, Dissertations, and Final Projects

This study investigates urban megaregions in the United States. The regional concept is examined from its origins in the geographic tradition as well as its transformation in the twentieth century to its current state. A GIS-based methodology for defining urban megaregions is presented and discussed. The results challenge existing assumptions of population and employment growth in the United States.

Identifying Risk-Free Asset Proxies In Companies Listed On The Indonesia Stock Exchange From 2017 To 2023 Using The Zero-Beta Capital Asset Pricing Model, Fajri Alan Ghazali Mr., Lenny Suardi Mrs.

The Indonesian Capital Market Review

This study evaluates Bank Indonesia Certificates (SBI), IndONIA, and gold as zero-beta proxies for Indonesian equities. Using daily returns for 213 firms listed on the Indonesia Stock Exchange (2017–2023) and the Jakarta Composite Index as the market return, we estimate firm-level zero-beta CAPMs and compute Wald statistics test to identify the appropriate risk- free asset proxy for each individual company; and firm-level outcomes are then aggregated under a Bernoulli/Binomial criterion with a 95% threshold. Empirical results show that gold satisfies the zero-beta condition for 207 of 213 firms (97.18%), whereas SBI and IndONIA satisfy it for five (2.35%) and six …

Project Learn Strategic Analysis, Kendall Hegan, Hunter Kay, Abigail Miller, Rina Xayasy

Williams Honors College, Honors Research Projects

The strategic analysis of Project LEARN seeks to analyze the background, purpose, internal structures, and external factors of the organization. After further analysis the team will propose strategic recommendations backed by academic research and concepts learned throughout the strategic management course. Through consistent personal communication and documents provided by the Project LEARN staff the team will develop an in-depth analysis that seeks to add creative new initiatives as well as highlighting the current core competencies of the organization.

Proof Of Recovery: A Model To Enhance Data Integrity In Data Management Systems, Gustaf Barkstrom

Theses and Dissertations

Businesses lose millions of dollars every year when they can’t restore data from backups. Research shows that Disaster Recovery Plan (DRP) testing is not conducted frequently enough, nor are records maintained that demonstrate full data recovery from backups. This work introduces a design science artifact called PRTOK that aims to increase DRP testing. The design science artifact is a software solution that integrates with Data Management Systems (DMS)

such as iRODS and DSpace, and can work with formats such as HDF5 and BagIt. Proof-of- recovery records, or tokens, are recorded in a replicated, resilient, and indelible proof-of- authority blockchain data …

An Examination Of The Determinants Of Audit Quality: Implications From Firms Listed In Us Stock Markets, Abdelrahman Naser Elmaria

Theses and Dissertations

The purpose of this thesis is to examine the effect of several audit determinants, namely audit tenure, non-audit to audit fees ratio, auditing firm size, and firm size, impact on audit quality. This thesis extends the existing literature on audit determinants effect on audit quality using a Generalized Linear Model, (GLM) regression with robust estimation by analyzing a sample of 446 companies from the USA in the manufacture and service sectors. This is conducted through a series of diagnostic tests to identify an appropriate regression model. Such tests include testing and checking of baseline regression models to check for multicollinearity, …

Enhancing Hospital Length Of Stay Using Ai Agent Modular Capabilities, Dami Fred

Theses and Dissertations

Hospital Length of Stay (LOS) analysis is essential for managing hospital efficiency and financial performance, yet the analytical depth required remains inaccessible to many organizations due to technical and resource constraints. This thesis introduces the AI Agent Modular Capabilities (AIAM) framework, which decomposes LOS analysis into discrete, codifiable capabilities integrated into a single skill activatable with one prompt. Seven AI Agent Modular Capabilities were developed using a Work Breakdown Structure and tested against a simulated hospital scenario across three successive skill versions. Results demonstrate that the packaged AIAM skill produces comprehensive, consistent, multi-section LOS analyses from a single interaction, outperforming …

Sales Prediction In Omnichannel Distribution Systems Based On Consumer Behavior Using Process Mining And Arimax, Ferra Arik Tridalestari, Mustafid Mustafid, Ferry Jie, Hanung Nindito Prasetyo

Research outputs 2022 to 2026

Omnichannel distribution integrates multiple sales channels into a single management platform to enhance customer experience. However, the complexity of consumer behavior data across channels often prevents business owners from effectively analyzing and predicting sales. This study proposes a sales prediction model in omnichannel distribution systems based on consumer behavior using a collaborative approach that integrates process mining and autoregressive integrated moving average with exogenous variables (ARIMAX). Event log data from an omnichannel service provider were used to extract consumer activity patterns, which were then analyzed through process discovery algorithms to identify dominant behavioral processes. The resulting behavioral indicators served as …

Advancing Sustainable Tourism Behavioural Research: A Metacognitive Perspective, Arghavan Hadinejad, Kourosh Esfandiar, Liubov Skavronskaya

Research outputs 2022 to 2026

The current scholarly inquiry on sustainable tourism behaviour research predominantly relies on cognitive behavioural approaches, particularly exemplified by the widespread application of the theory of planned behaviour among other theories. Given recent advancements in psychology underscoring the necessity to expand beyond conventional cognitive frameworks, the current research aims to integrate metacognitive perspectives in sustainable tourism behaviour scholarship. This perspective explores the reflective awareness and control individuals exert over their cognitive processes which can uncover nuanced factors shaping sustainable tourism behaviour that may be overlooked in traditional cognitive models. Using a critical review approach, this research proposes the adoption of alternative …

Chronicles Of Film Tourism: An Integrative Review And Future Research Directions, Sangkyun Kim, Anton Klarin, Stijn Reijnders, Qijie Xiao, Nicky Van Es

Research outputs 2022 to 2026

This study triangulates historiographical and scientometric reviews to provide a systems perspective on film tourism. The three phases of historiographical analysis (exploration, growth, and maturity) correspond to the three clusters of scientometric analysis: (i) initial research exploring film tourism development and management, (ii) growing the field through studies on film tourists’ perceptions and practices, and (iii) reaching maturity through extending research into different cultural contexts and meaning-making processes. Based on the analysis, we offer a set of directions for future research, including the need to integrate sustainability research and film tourism studies in developing country contexts, as well as intertextuality …

A Methodological Framework For Modernizing Engineering Course Content With Large Language Models, Katherine Smith, Dalya Ismael, Otilia Popescu, Murat Kuzlu, Adel El-Shahat, Vukica M. Jovanovic

Engineering Technology Faculty Publications

The rapid evolution of technology presents challenges for engineering educators. While the core engineering methods often remain relevant over time, course materials rapidly become outdated in presentation and pedagogical approach. This paper presents a methodological framework for using large-language models (LLMs) to modernize engineering course content with a case study in an advanced technical analysis course.

The methodology follows a phased approach that is designed to be repeatable and verify the accuracy and completeness of course content. During the first phase, an LLM is used to map outdated text-heavy content to a modern format using a LaTeX template. The second …

Short-Window Market Reactions To Real Estate M&A: A Comparative Event Study Of Reits And Real Estate Services Firms, Aryan Kaila

CMC Senior Theses

Existing research on real estate mergers has largely focused on REIT acquirers in isolation, typically finding near-zero bidder reactions in short event windows. There is little work that directly compares REITs with publicly listed real estate services (RES) firms that operate in the same market cycles and conditions but follow different business models. Using a transaction-level dataset of 137 U.S. mergers from 1994 to 2024, this study applies event-study methodology and cross-sectional regression analysis to investigate whether equity markets respond differently to acquisitions undertaken by REITs and real estate services firms. The estimates show that REIT acquirers experience notably more …

Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …

Design Principles For Customer-Engaging Digital Service Systems: An Action Research Study, Keng Leng Siau, Xiaofeng Chen, Xin Tan

Research Collection School Of Computing and Information Systems

Digital services represent a business approach employed by organizations to operate in the digital environment. However, systematic development guidelines for developing quality digital service systems are lacking in the literature. The authors identified four general challenges for developing and implementing customer-engaging digital service systems (CEDSS). By employing the method of canonical action research in a digital service system project, they derived 10 design principles for developing high-quality CEDSS. They empirically evaluated the design principles in the development project and through follow-up focus group sessions. The design principles provide applicable and actionable guidelines for the development of CEDSS.

Entropic Foundation Of Finance And Physics: Securities Price Dynamics And Quantum Theory, Mohammad Abedi

Electronic Theses & Dissertations (2024 - present)

In many scientific and financial contexts, we must reason and make predictions under conditions of incomplete information. This dissertation develops Entropic Dynamics (ED) as a unified framework for deriving dynamical laws directly from principles of inference. Within this approach, probability distributions represent states of knowledge, and their evolution is determined through entropy maximization subject to relevant constraints. This leads to a novel concept of entropic time and a formulation of dynamics as an inferential process. In this talk, I will present how ED provides a common foundation across multiple domains. In physics, quantum dynamics for particles and scalar fields in …

The Financial Effects Of Clinically Significant Readmissions In Florida Hospitals, Brian Patrick Cotton

Doctor of Business Administration Dissertations

This study examines how the financial performance of hospitals in the state of Florida impacts the quality of care. This study used data from 2017-2019 to evaluate how the number of hospital readmissions – a proxy for care quality – are associated with and vary in relation to the stability of the financial resources held by the hospital. The Hospital Readmission Reduction Program (HRRP), a Medicare value-based purchasing program, uses a mandatory pay-for-performance process that was initiated to decrease the 30-day hospital readmission rate. Hospitals with high readmissions are held accountable and financially encouraged to increase their quality of care …

First-Job Contract Review Cheat Sheet, Johanna Jones-Morris, Ashlee Martellacci

Teaching and Learning Resources

This cheat sheet helps first-time employees understand what to review before signing an employment contract. It highlights job duties, compensation, scheduling, employment terms, benefits, restrictive clauses, worker classification, and common red flags so that individuals can ask informed questions and recognize potentially unfair or unclear terms.

Detection Of Financial And Political Fake News As A Measure To Prevent Instability In Financial Markets, Konstantyn Malyshenko

DLSU Business & Economics Review

This article explores the role of social networks as a catalyst for instability in financial markets. Its purpose is to present strategies for mitigating the media’s influence on adverse outcomes, primarily by analyzing the information cascades and related transactions in stock markets. The innovative aspect of this research lies in the development of methods for analyzing specific types of information, particularly media reports, to identify indicators of fake that distort public perception. The focus of this study is on fake news and the analysis of its potential linguistic features for identification purposes. A significant outcome of this research is the …

Diffusion Of The Internet And Digital Divide In Post-Soviet Countries, Behrooz Asgari, Cosmos Amoah, Sudipa Majumdar

DLSU Business & Economics Review

This study explores the diffusion process of the internet in countries that were previously known as the U.S.S.R. and are currently divided into 15 countries. Utilizing the S-shaped logistic curves, this paper forecasts future trends in internet diffusion in these economies. Data varied in range, with each country having different time frames for similar variables. The logistic curves for each country determined the length of time of internet diffusion, maximum carrying capacity, and different stages of the diffusion process, namely, emerging, growth, maturity, and saturation. The results show that all countries have exceeded the emerging and growth phases, with 13 …

Strategic Peer Region Selection For Economic Development, Xiaobing Shuai, Riley Ford

School of Professional and Continuing Studies Faculty Publications

Benchmarking against peer and aspirational regions is essential for economic development because it provides meaningful context for evaluating performance and shaping strategy. These comparisons help highlight regional advantages that attract new investments, as well as uncover gaps that may represent opportunities for future growth. ...

This article provides a practical, data-driven framework that economic development organizations can use to identify peer and aspirational regions, strengthen benchmarking efforts, and support strategy development. A case study illustrates how this can be applied to better interpret economic indicators and inform decision-making. For EDOs, this approach offers a more consistent way to evaluate competitiveness, …

Early Stem Impressions, Student Engagement, And Readiness For Digitalization, Myron Sheu

Journal of International Technology and Information Management

This study examines how early impressions of science, technology, engineering, and mathematics (STEM) shape business students’ learning behaviors and, ultimately, their readiness for organizational digitalization. Focusing on gender differences, subgroup identities, and perceived obstacles, the analysis uses survey data processed through correlation matrices, regression models, and subgroup heatmaps to trace the relationship between initial attitudes toward STEM and subsequent engagement patterns. The findings reveal consistent links between positive early impressions and active participation in structured STEM activities, along with gender-based distinctions in action preferences. Subgroup analyses further uncover nuanced patterns where stereotypes or perceived barriers correspond with reduced engagement. Collectively, …

Machine Learning: Thematic Feature Grouping, And The Magnificent Seven: A Forecasting Analysis, Mirarmia Jalali, Mohammad Najand, Andrew Cohen

Finance Faculty Publications

This study examines the predictability of monthly excess returns for the “Magnificent Seven” U.S. technology firms using machine learning and economically motivated thematic feature grouping. Framed as a focused study of the most systemically consequential equity panel in modern markets—seven firms representing over 30% of the S&P 500—the analysis confronts a small-N, large-P environment where economically structured dimensionality reduction is essential. Using 154 firm-level characteristics categorized into 13 economic themes, we evaluate linear, penalized, tree-based, and neural network models in a small-N, large-P setting. Unrestricted models suffer substantial overfitting and fail to outperform the historical average benchmark out-of-sample. In contrast, …

Natural Resource Rents And Energy Poverty Nexus In Next Eleven Economies, Muhammad Salah Uddin, Ayub Ali, Zobayer Ahmed, Md Nasir Uddin Sikdar, Ahsan Habib, Abdullah Elah Al-Mahde

Finance Faculty Publications

Energy poverty (EP) remains a persistent global challenge with important implications for economic development, public health, and social welfare. While natural resources, particularly oil and gas, are often viewed as key sources of energy access, their effectiveness in mitigating EP remains underexplored in emerging economies. This study examines the relationship between natural resource rents (NRR), specifically oil rents (OR) and natural gas rents (NGR), and energy poverty (EP) in the Next Eleven (N-11) countries from 2000 to 2020. The primary objective is to assess how NRR influences EP at various levels of poverty using the Method of Moments Quantile Regression …

Lease Capitalization And Financial Flexibility: An Empirical Investigation Of Asc 842’S Impact On Liquidity In The Us Telecommunications Industry, Caleb J. Martin

Doctor of Business Administration Dissertations

Measures of liquidity are some of the most important financial ratios to analyze when measuring a firm’s overall financial health and its ability to pay both creditors and dividends. The US telecommunications industry is an industry that has become synonymous with dividends, mergers, and acquisitions, all of which are possible due to industry wide and firm specific liquidity. With the implementation of ASC 842 and the new standard of placing operational leases on the balance sheet, additional research may be warranted to determine the effect ASC 842 may have on firm liquidity. This study investigated whether there was evidence to …

The Investor Perspective Of Materiality, Sam Lessinger

Honors Undergraduate Theses

Often auditors are asked to adopt the reasonable investor perspective in their materiality evaluations however, there is no consensus regarding what investors deem to be material. This can lead to confusion in the markets. In fact, past studies have shown how taking an investor perspective can backfire and may result in more leniency and fewer misstatements being deemed material by auditors. This leniency can, potentially, result in financial statements that mislead investors. The aim of this paper is to address the reasonable investor perspective to achieve a more complete understanding of an investor’s viewpoint. This study also incorporates the effect …

Financial Literacy And Inclusion Of Philippine Jeepney And Tricycle Drivers, Bryan N. Bernabe, Jyro B. Triviño

Leadership and Strategy Faculty Publications

The study investigated how the different elements of financial literacy influence the financial inclusion of jeepney and tricycle drivers in Caloocan, Metro Manila. Pearson correlation analysis revealed a positive correlation between financial inclusion and attitude, behavior, knowledge, and skills. Additionally, analysis of variance highlighted that education and age play significant roles in enhancing financial literacy. The linear regression findings also supported the idea that income acts as a positive moderator, augmenting the impact of financial literacy on financial inclusion. The study attempted to disaggregate its financial literacy components to understand their impact on financial inclusion, but its interrelationships also require …

Lost In The Language: Data Breaches And The Strategic Fog Of Risk Disclosures, Ling Tuo, Shipeng Han

Accounting Faculty Publications

This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm-year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability. This decline is not accompanied by a meaningful increase in informational content; instead, post-breach disclosures exhibit higher syntactic complexity, more positive tone, and lower textual similarity to prior and industry peers' filings, consistent with strategic obfuscation rather than transparent reporting. The readability decline is amplified among firms facing higher litigation risk but attenuated among firms with stronger reputations for …

The Effects Of Financing Green And Brown Sectors: What Do Theories And Evidence Say?, Hao Liang, Maria Teresa Punzi

Research Collection Lee Kong Chian School Of Business

This paper critically examines the economic and welfare implications of financing green and brown sectors. Drawing on a comprehensive review of recent theoretical and empirical literature, we highlight that while conventional green finance—allocating capital toward environmentally friendly (“green”) sectors and away from carbon-intensive (“brown”) sectors—can promote decarbonization, it may also produce unintended externalities. In particular, it can inadvertently incentivize higher emissions from brown firms and contribute to economic disruption. Using a dynamic stochastic general equilibrium (DSGE) model, we demonstrate that lowering the cost of capital for green sectors leads to only modest reductions in emissions, whereas raising it for brown …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Fluid Agency In Ai Systems: A Case For Functional Equivalence In Copyright, Patent, And Tort, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern Artificial Intelligence (AI) systems exhibit fluid agency in multi-step workflows: lacking human-like consciousness or culpability, yet they display behavior that is (i) stochastic (probabilistic and path‑dependent), (ii) dynamic (co‑evolving with user interaction), and (iii) adaptive (able to reorient across contexts). These properties generate valuable outputs but collapse attribution, irreducibly entangling human and machine inputs. Doctrines that assume traceable provenance—authorship, inventorship, and liability—fracture under this unmappability, yielding ownership gaps and moral “crumple zones.”This Article argues that only functional equivalence stabilizes doctrine under unmappability: Where provenance is indeterminate, legal frameworks should treat human and AI contributions as equivalent for allocating rights …