Digital Commons Network^™

Chatgpt, Where Should I Go? A Qualitative Exploration Of How Large Language Models Are Experienced As Support For Travel Planning, Mohammad Amin Kuhail, Asbjørn Følstad, Saifeddin Alimamy

All Works

Large language models (LLMs) are increasingly used for travel planning. Yet, little is known about how travellers experience and interact with such language models. This qualitative study explores how users employ LLMs to plan trips, drawing on the hedonic/pragmatic model of user experience to examine functional and affective dimensions. We collected data from 104 participants with prior experience using LLMs for travel advice through open-ended questionnaire responses. Thematic analysis revealed three key insights: (1) users value the pragmatic benefits of LLMs, such as efficiency, clarity, and confidence in decision-making, while also appreciating hedonic qualities, including inspiration, enjoyment, and authenticity; (2) …

Holistic Strategies For Optimizing Municipal It Operations And Cost Efficiency, Joseph Yazdanpanahi

Certified Public Manager® Applied Research

Municipalities work to deliver secure and impactful IT (information technology) services while often working within tight budget constraints. To address this problem, this article offers an experience-based and comprehensive framework to optimize municipal IT operations. It emphasizes leveraging automation, streamlining hardware and software management, and forging strategic partnerships to drive cost savings and efficiency gains. Designed to equip municipal IT leaders with practical tools and insights, this article aims to help modernize IT processes.

Decoding Stock Market Movements: The Role Of Unemployment And Volatility, Bipllab Roy, Suparna Bhattacharjee

Northeast Journal of Complex Systems (NEJCS)

This study investigates how unemployment and market volatility interact with stock prices in the Indian context, framing the stock–labour–volatility nexus as a complex adaptive system (CAS) rather than a set of linear, time-invariant relationships. Using verified secondary data on unemployment, India VIX, and NSE stock indices for 2013–2023, we first apply simple and multiple regression as a descriptive baseline. Results show a strong negative association between unemployment and stock prices (R ≈ 0.824, R² ≈ 0.68, p < 0.05), consistent with Keynesian demand-side channels, while the linear VIX–stock relationship is weak and statistically insignificant (R² ≈ 0.07, p > 0.05), consistent with the expectation that volatility operates through non-linear, regime-dependent mechanisms not captured by OLS.

Importantly, we document and transparently disclose critical …

Hr Analytics: A Bibliometric Analysis Using Web Of Science (Wos) Database And Exploring New Horizons, Akanksha Srivastava, Ram Singh

Management Dynamics

Purpose: Recent years have seen a rise in popularity for the study of human resource analytics, which is a relatively young field of study. The research that has been done in this area is advancing and will open new avenues for future investigation. The paper discusses the theoretical foundations upon which the operation of HR analytics is based.

Methodology: The paper gives insight into the publications, authors, keywords, nations, references, and journals of the studies by employing Bibliometric analysis. Overall, 210 publications that were published between 2012 and 2022 were considered all were research articles for the present study. For …

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

Morehead State Press Release Archive, 1961 to the Present

Press releases for June of 2026.

Ms110 Syllabus: Introduction To Computers, Information Systems, And Artificial Intelligence, Wei Zhang

Management Science and Information Systems Faculty Publication Series

This is a syllabus for Professor Wei Zhang's MS110: Introduction to Computers, Information Systems and Artificial Intelligence Course within UMass Boston's College of Management. This is an Open Educational Resource and can be remixed, copied, redistributed, altered and reused as long as permission is given to the original creator.

Essays On Behavioral Aspects Of Retail Operations, Ceren Gultekin

Dissertations, Theses, and Capstone Projects

This dissertation combines a structured literature review on availability signaling in retail with two analytical chapters on inventory disclosure. The literature review incorporates the design and key insights of a systematic review and identifies directions for future research. Inventory disclosure is a form of availability signaling through which retailers strategically communicate stock levels to influence consumer buy-now-or-wait decisions. To mitigate strategic purchase deferrals, retailers may share low stock to create urgency or mask high stock to prevent consumers from relying on abundance. Despite its importance for profitability, academic findings and industry practices vary widely, ranging from consistent sharing to consistent …

Managing Multi-Channel Service Operations, Omer Berk Olmez

Dissertations, Theses, and Capstone Projects

In today’s evolving service landscape, the growth of virtual channels alongside traditional in-person services is changing how providers interact with customers and how services are delivered. This dissertation studies how service systems should be designed and managed when customers can choose between virtual and in-person channels through three connected perspectives: customer behavior, work design, and public policy. The first study examines booking-window design in a pooled multi-channel appointment system using appointment-level data from an undergraduate advising office, a queueing model, and a digital twin. It shows that booking windows shape the offered set and the flow of demand across channels, …

Patent Analyses And Technology Forecasting: Advances Into Artificial Intelligence Technologies, Sarah Over, Emma Jiren Wang, M. Shehryar Khan

Journal of the Patent and Trademark Resource Center Association

For several decades, patents have been utilized in analyzing technology and forecasting future trends. Historically, this has been done via keywords, citations, and some bibliometric approaches. The efficiency that is promised by artificial intelligence (AI), machine learning, natural language processing, and related technologies has also heavily entered the domain of intellectual property. There is a growing body of research that is using AI technologies to analyze, learn, and make predictions for patents. Some of the most common applications in practice are those that assist searchers and examiners in review of patents. Journals such as World Patent Information have even developed …

Unveiling The Strategic Impacts Of Extending Membership-Based Free Shipping Programs Beyond The Online Marketplaces, Geng Sun, Huseyin Cavusoglu, Srinivasan Raghunathan

Information Systems Faculty Publications

Online marketplaces, which facilitate transactions between consumers and sellers, have transformed the shopping experience across multiple product categories. Addressing the challenges related to shipping associated with online purchases of physical products, many marketplaces have introduced membership-based free shipping (MFS) programs and concomitantly invested heavily in their logistics and fulfillment capabilities. Seeking to monetize these capabilities, Amazon recently extended its program to encompass outside sellers, enabling member consumers to get free shipping even when purchasing from external sources. Although such an extension offers the potential for additional revenue in the form of “logistics as a service” (LaaS), it also pits marketplace …

Marketing As Practice: Resolving The Hunt-Anderson Stalemate Through Practice Theory, Stephen A. Lemay, Martin Svendsen

Journal of Applied Marketing Theory

This paper revisits methodological debates in marketing theory, tracing the progression from Sidney Levy’s work on symbolic consumption to the Hunt–Anderson empiricist–relativist debate. We argue that this debate rests on a category error: marketing has been misclassified as either a science or an interpretive discipline. Drawing on contemporary practice theory, we reconceptualize marketing as a professional practice oriented toward creating and managing exchange relationships within cultural contexts. This perspective resolves the Hunt–Anderson stalemate, clarifies the epistemological foundations of Consumer Culture Theory (CCT) and Transformative Consumer Research (TCR), and generates distinct research questions and methods. Through comparative exemplars, we show how …

An Integrated Analytics Model For Evaluating Strategic Investments Under Volatile Conditions, Atul Chandra, R. Hartley

Research outputs 2022 to 2026

Strategic projects are exposed to multiple uncertainties within a competitive environment that result in trade-off between two decisions, early investment that pre-empts competitors versus delay to allow resolution of uncertainties. Unlike the binary net present value (NPV) based decision to invest or abandon now, our multiple volatility real option games approach (MVR games) frames strategic investment decisions as a dynamic process for future options. It is a decision tree framework that computes and analyses strategic net present value (SNPV) using four MVR games modules and decision making. SNPV combines NPV with two offsetting real option and strategic values. Real option …

Educational Content Creation For Non-Textbook Learning Resources, Dorina Tila

Open Educational Resources

These are materials that will be supporting faculty teaching and students enrolled in ECO 1200: Macroeconomics. Some items are also helpful in other economics, finance, and business classes. The set includes:

• Customized Summaries of Modules,
• Up-to-date Case Examples and Assignments
• Economic Experiments and Game Designs and Instructions,
• Instructions that Ethically and Effective Use Generative AI

Developing A Framework For Mooc Dropout: The Role Of Utilitarian And Hedonic Values In Student Retention, Bipllab Roy, Mave D'Souza, Madhura Laghane

Northeast Journal of Complex Systems (NEJCS)

Massive Open Online Courses (MOOCs) have expanded access to higher education but continue to face persistently high dropout rates, raising concerns about their long‑term effectiveness and sustainability. This study develops and empirically tests a structural framework that links utilitarian values (perceived usefulness, certificate value, time flexibility), hedonic values (enjoyment, variety and novelty, personal interest alignment), and individual characteristics (goal orientation, self‑efficacy, motivation type) to MOOC student retention. Data were collected through a structured questionnaire administered to 200 MOOC learners from Christ University, Lavasa Campus, and analyzed using Structural Equation Modelling (SEM) in AMOS. The results show that goal orientation, self‑efficacy …

Generating A Bond Option Binomial Tree Model In Excel, Tom Arnold, C. Mitchell Conover, Joseph Farizo, Nancy Tran

Finance Faculty Publications

We demonstrate how to adjust the Katolay, Williams, and Fabozzi (1993) binomial tree model for pricing option-embedded bonds to have separate binomial trees for the forward rate process and for the component bond prices (actual bond prices or derived from a yield curve).  This reduces computational complexity at a given node within a single binomial tree.  Further, the calibration method is performed on “spine” values for the forward rate binomial tree, which is more consistent with the actual forward rates that are utilized as initial values in the calibration process.  The entire model is produced in Excel and uses new …

The Statistical Distribution Of U.S. Corn And Soybean Futures Prices, Chiamaka D. Osigwe

LSU Master's Theses

This thesis investigates the best-fit empirical distribution for daily U.S. corn and soybean futures price changes and examines how distributional choices affect Value-at-Risk (VaR) and Expected Shortfall (ES) estimates. The dataset comprises daily nearby futures prices for corn (11/16/1994–04/23/2025) and soybeans (10/16/1979–02/15/2023), yielding 7,626 and 10,853 observations, respectively. An ARCH-LM test confirms the presence of Autoregressive Conditional Heteroskedasticity (ARCH). Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models were estimated, and to account for potential asymmetric effects, an EGARCH model was used. EGARCH (1,1) estimation reveals an inverse leverage effect, where positive price shocks generate higher volatility. Six heavy-tailed distributions were evaluated, and …

Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Sophia Wismar, Henry Staats, Allison Metzler, Chloe Puckett, Rachel Levine, Christa Kilpatrick, Scott Wolf, Joe Walsh, Grace Doolittle, John Engebreston, Zoe Lopez, Christopher Aaby, Audrey Duff, Timothy Sisk, Katelyn Lamberton, Angela Narayan, Gilkah Argueta, Habiba Samir, Girena Tesfazghi, Genet Kenore, Sinit Tesfamariam, Effley Brooks, Abi Newell, Megan Doherty, Natalie Baer, Lexi Blood, Talya Riciputi, Jessica Jimenez, Devin Hernandez, Lynn Clark, Taj Kumar, Sunil Kumar, Allen Rutman, Mira Pronobis, Tess Carson, Anna Sher, Frankie Stroud, Tamra Pearson D'Estree, Alyssa Wilson, Emily Melnick, Jenalee Doom, Yihang Gao, Gwendolyn Geiger, Noah Gettle, Scott Nichols, Clare Ayoub, Cara Dienno, Sunny Walker, Zoe Hansen, Maya Wheeler, Addison Rice, Patrick Martin, Sanjana Acharya, Daniel Mcintosh, Amanda Mckellips, Calli Cain, Justin Blake, Peter Sokol-Hessner, Natalie Miller, Max Weisbuch, Sophia Dellota, John Macikas, Charlotte Snow, Mark Siemens, Zoe Lynch, Alex Huffman, Prachi Shah, Jason Roney, Halcyon Levi, Nicole Herzog, Andrea Koly, Daniel Linseman, Annie London, Xi Yang, Avery Zwisler, Jane Smith, Chaz Contag, Michael Kerwin, Lucy Rand, Grace Schroeder, Michelle Rozenman, Nissa Tapper, Guiming Zhang, Mateo Mazariego-Halpern, Keith Meyer, Julie Do, Dakota Park-Ozee, Travis Herink, Kara Neu, Jonathan Plomin, Eve-Odine Duchaufour, Debbie Gale Mitchell, Tennyson Anderson-Stricklin, Lily Treitz, Samantha Rosenberger, Sierra Griffith, Finley Joseph, Daniel Sampson, Emmy Davis, Skyler Kasnoff, Evon Lopez, Vivian Nguyen, Cassy Young, Franklin Sellner, Martin Tobon, Ila Graham, Zach Billings, Holden Hedit, Decatur Boland, Paul Kosempel, Cory Chandler, Jay Mahoney, Sam Dragan, Susan Dagget, Yarrow Ator, Heidi Vuletich, Owen Weber, Andrew Kloeppel, Petersen Gray, Mandi Schaeffer-Fry, Razleen Bassra, Bryanna Rodriguez, Christina Blue, Taubie Sanders, Rachel Epstein, Luke Milburn, Camryn Evans, Ezra Martinez, Mary Westwood, Gabri Notov, Robin Tinghitella, Lilou Cabrol, Eli Barbour, Juliet Mendik, Selma Myers, Zac Wise, Noah Fahlin, Michelle Knowles, Abigail Hopper, Michael Greenberger, Romi Laclair, Sarah Watamura, Sabrina Efroymson, Casey Barker, Sydney Seltzer, Bryn Yehle, Jennifer Hoffman, Sara Garcia, Ryuka Nagamine, Trevor Briggs, Remy Le Boeuf, Elena Krone, Eileen Farrell, Regan O'Rourke, Elena Roel, Greg Mortimer, Ali Ayoub, Stefani Langehennig, Caitlin Turk, Logan Scmid, Stefan Chavez-Norgaard, Karen Kim, Tatiana Peccedi, Courtney Cassidy, John Sebesta, Rhianna Lewis, Janice Bening-Lacek, Vivian Lawless, Mckenna Hanson, Jeffrey Amidon, Riya Joshi, Ram Ambre, Brady Worrell, Perrin Schneider, Ali Azadani, Brooke Agulnek, Lyndsie Salvagio, Elise Siemanowki, Yan Qin, Andre Allen, Melodie Nguyen, Megan Livengood, Abby Reams, Saffron Hartreeve, Bri Wylie, Sarah Brookman, Mariah Loiacono, Green Russo, Abhia Lodhi, Gabrielle Welsh, Nika Spehar, Shahked Levin, Evrim Baykal, Kimberly Chiew, Jocelyn Torres, Kailey Hicks, Mykaela Tanino-Springsteen, Audrey Bellows, Akam Chahal, Madeline Tepper, Shannon Murphy, Alexa Fonseca, Deborah Han, Cassandra Perez, Oluwatoyin Alaba, Julia Roncoroni, Vy Nguyen, Nana Burn, Sarah Sasse, Rubin Tuder, Anthony Gerber, Nancy Lorenzon, Christine Vohwinkel, Camryn Gunter, Tristan Weber, Sam Rommel, Brian Michel, Muskan Fatima, Alannah Oleson, Kira Frey, Edward Garrido, Beckett Morris, Kerstin Haring, Drew Middleton, Abigail Walpert, Liam Dee, Gabby Ishaw, Cole Carnes, Maddie Weiser, Claire Fox, Valeriia Vlasenko, Kateri Mcrae, Riley Smith, Abigail Templin, Kushani Rajapaksha

DU Undergraduate Research Journal Archive

Abstracts from the DU Undergraduate Research Showcase.

Measuring Stock Market Inefficiency Using A Multilayer Composite Efficiency Index: A Case Of The Egyptian Exchange, Patrick K. Owido, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

Financial markets play a critical role in resource allocation. Their performance depends on the decisions of millions of independent investors constantly reacting to one another. Their informational efficiency remains a subject of debate across economic systems. When informational efficiency is present at the weak form, historical price information should not consistently predict future returns. Several empirical tests of this hypothesis often focus on the behavior of aggregate market indices, and use individual efficiency proxies such as autocorrelation, GARCH-type volatility, or entropy-based measures to measure efficiency. This has often yielded mixed results, particularly in emerging markets. Here we show that testing …

A Govsecops-Oriented Governance, Risk, And Compliance Platform For Continuous Authorization In Dod Il4/Il5 Environments, Anand Janjal

Journal of Cybersecurity Education, Research and Practice

Department of Defense (DoD) Impact Level 4 and Impact Level 5 (IL4/IL5) systems require continuous assurance of cybersecurity posture under stringent operational and regulatory constraints. While the NIST Risk Management Framework (RMF) and DoD DevSecOps guidance emphasize continuous authorization supported by real-time evidence, many existing Governance, Risk, and Compliance (GRC) platforms remain documentation-centric and insufficiently integrated with operational telemetry. This paper presents a GovSecOps-oriented GRC architecture that integrates vulnerability ingestion, automated Plan of Action and Milestones (POA&M) lifecycle management, dynamic risk scoring, and continuous authorization dashboards within IL4/IL5 environments. Using a Design Science Research methodology, the study develops and evaluates …

Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam

Neutrosophic Systems with Applications

Modern supply chain systems frequently operate in environments where demand, costs and inventory-related parameters are uncertain and difficult to estimate accurately. These uncertainties become more critical in multi-objective decision-making situations, where decision makers must simultaneously balance several conflicting goals. Conventional optimization techniques often fail to represent the ambiguity and vagueness present in practical decision environments. To overcome these limitations, this study develops a multi-item supply chain model for a single supplier and a single buyer by incorporating Type-2 interval representations into the modelling framework. The proposed approach introduces a structured set of arithmetic operations for Type-2 intervals to manage uncertain …

The Impact Of Sovereign Wealth Funds On Emerging Markets: A Behavioral Analysis Of Investment Decisions And Market Reactions, Grant A. Mosshart

Senior Honors Theses

Sovereign Wealth Funds (SWFs) are increasingly influential in emerging markets, yet the behavioral drivers behind their investments remain underexplored. In this paper, an analysis of SWF capital’s impact on economic development and the psychological factors, such as optimism bias and herding, that shape these decisions is examined. Utilizing a mixed-methods comparative study, the research analyzes Saudi Arabia’s Public Investment Fund (PIF) and Singapore’s Temasek Holdings. Event study analysis reveals a divergent impact: the PIF’s high-profile developmental commitment to India generated a positive 5-day Cumulative Abnormal Return of +2.05%, confirming a macro-level “seal of approval” signaling effect. By contrast, Temasek’s commercially …

Regularity Clarity At A Cost: The Risks To Everyday Investors If Project Crypto Continues Without Guardrails, Maia Chess

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Exploring Maximal Length Cellular Automata To Generate Primitive Polynomials In Gf(2), Sumit Adak, Subhrajit Deb, Anurag Ghosh, Angshuman Roy, Souvik Roy

Northeast Journal of Complex Systems (NEJCS)

We present a simple method that uses cellular automata (CAs) to find primitive polynomials over GF(2). We used maximal length CAs as tools to generate primitive polynomials. It is usually very difficult to find maximal length CAs or primitive polynomials since they require exponential time, and there is no linear time method. However, in our work, given an n-size specific sequence of CA with reasonable probability, our technique computes a cycle of length at most 2^n-1 (maximal length) in O(n) time. The characteristic polynomials of synthesized maximal length CAs are claimed to be primitive since it was previously established that …

Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma

Northeast Journal of Complex Systems (NEJCS)

The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences.  This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …

Tax Trends, Nicholas J. Fiore

Tax Adviser

No abstract provided.

Below-Market Corporation- Shareholder Loans, Calculating Imputed Interest Under The Proposed And Temporary Regulations, Ned P. Curtis

Tax Adviser

No abstract provided.

Tax Clinic, Henry J. Ferrero Jr.

Tax Adviser

No abstract provided.

Decision Making At Triage Classification Using Svm With Smote Technique, Mehanas Shahul, Pushpalatha Kp

Northeast Journal of Complex Systems (NEJCS)

The efficient functioning of triage gates in overcrowded emergency departments (EDs) occurs in the context of the complex adaptive system (CAS) framework, where diverse system elements – patients, medical personnel, resources, patients’ inflow patterns, and patients themselves – simultaneously and dynamically influence the decision process. This study addresses the automated incorporation of machine learning triage algorithms as part of the system triage process to support automated classified risk-level recognition based on a limited set of vital signs. Patients are dynamically subsumed under high and low-risk categories enhanced by sensitivity, which enables optimal diagnosis and triage response to the critical clinician …

Uncovering Discrete States From Multimodal Psychophysiological Data Using Gaussian Latent Dirichlet Allocation (Glda), Congyu Wu, Aaron Fisher, David Schnyer

Northeast Journal of Complex Systems (NEJCS)

In this article we explore and validate the utility of an unsupervised probabilistic model, Gaussian Latent Dirichlet Allocation (GLDA), for discovering discrete states from repeated, multimodal psychophysiological samples collected from multiple individuals. Psychology and medical research heavily involves measuring potentially related but individually inconclusive variables from a cohort of participants to derive diagnosis, necessitating clustering analysis for state identification. Traditional probabilistic clustering models such as Gaussian Mixture Model (GMM) assume a global mixture of component distributions, which may not be realistic for observations from different patients. The GLDA model borrows the individual-specific mixture structure from a popular topic model Latent …

The Tax Adviser, Volume 18, Number 11, November 1987, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.