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Country-Of-Origin Cues And Indian Consumers’ Skincare Purchase Intention: A Research Proposal For Reliance Retail’S Tira Beauty, Mohammed Ismail Shareef Jan 2026

Country-Of-Origin Cues And Indian Consumers’ Skincare Purchase Intention: A Research Proposal For Reliance Retail’S Tira Beauty, Mohammed Ismail Shareef

Business ETD Collections

This study investigated how Indian consumers perceive the "country-of-origin" (COO) cue when evaluating skincare products from Tira Beauty. Specifically, this study focused on COO for both Indian-origin and foreign-origin skincare to determine if there is a link between origin, consumer trust in brands, attitudes toward brands, and intentions to make purchases. Using a qualitative methodology and three semi-structured online zoom interviews with Indian consumers who are familiar with Tira Beauty, the study identified themes within the interview responses and analysed them using manual thematic analysis in Microsoft Excel. Results indicate that COO influences initial perceptions of products; however, it does …


Towards Developing A Career Technology Fit Framework And Analyzing Its Influence On Work-Related Outcomes Among It Professionals, Gunjan Tomer Jan 2026

Towards Developing A Career Technology Fit Framework And Analyzing Its Influence On Work-Related Outcomes Among It Professionals, Gunjan Tomer

Journal of International Technology and Information Management

With growing attrition rate and significant demand for skilled IT professionals, the importance of studying their behaviour has become important for both academia and industry. Despite ample amount of research, there is still a gap between theory and practice. Based on our qualitative study conducted on Indian IT professionals we propose that technology allocation might contribute in understanding the behaviour of IT professionals. We found that IT professionals evaluate the technology allocated to them based on their individual career motives. This evaluation, either positive or negative, influences their job outcomes. Further, we explored the factors that make a technology preferable …


High Technology And The Developing State: The Arrival Of Supercomputers In India, Ramesh Subramanian Jan 2026

High Technology And The Developing State: The Arrival Of Supercomputers In India, Ramesh Subramanian

Journal of International Technology and Information Management

While India has made vast strides in information technology in the last few decades, its success is mainly attributed to its software, rather than its hardware sector. In fact, India’s attempts at developing computer hardware that can match international standards have largely been unsuccessful. A notable exception is its development of a series of supercomputers that match and exceed many international standards. This paper looks at an interesting period in India’s computing history – namely the 1980s and 1990s – focusing on its development of an indigenous supercomputer. During that period, supercomputers were thought to be the sole privy of …


Responsible People Analytics For Remote-Work Decisions: A Machine-Learning Benchmark For Classifying Perceived Productivity, Ruth Menjivar, Nima Molavi, Narges Mashhadi Nejad Jan 2026

Responsible People Analytics For Remote-Work Decisions: A Machine-Learning Benchmark For Classifying Perceived Productivity, Ruth Menjivar, Nima Molavi, Narges Mashhadi Nejad

Journal of International Technology and Information Management

This study examines whether employee-perception survey data can support responsible people-analytics decisions about remote-work productivity. Using the public New South Wales (NSW) Remote Working Survey 2021 (N=1,512), the study benchmarks statistical and machine-learning classifiers for self-reported perceived productivity classes (same, less, or more productive when working remotely relative to onsite work), not objective output, under default, class-weighted, and resampling protocols. Main evidence comes from 5×5 repeated stratified cross-validation using macro F1 and balanced accuracy with fixed model specifications. Class-balanced separability is modest. Random Forest, CatBoost, and LightGBM form a leading cluster with overlapping confidence intervals (macro F1 ≈0.51–0.52). Affective/well-being items, …


The Value Of Personal Data Ecosystems: A Flemish Media Sector Case Study, Maarten De Mildt, Melanie Verstraete, Sofie Verbrugge, Didier Colle Jan 2026

The Value Of Personal Data Ecosystems: A Flemish Media Sector Case Study, Maarten De Mildt, Melanie Verstraete, Sofie Verbrugge, Didier Colle

Journal of International Technology and Information Management

Personal Data Stores (PDSs) have been proposed as a privacy-preserving approach to data sharing that increases individual control over personal data while enabling new forms of cross-organizational collaboration. This collaboration leads to the emergence of Personal Data Ecosystems (PDEs). Despite growing interest in PDEs, limited research has examined how the organizational and economic barriers identified in prior studies manifest in practice. This paper investigates these challenges through a case study of the Flemish media sector within the Solid4Media project, which explores the use of PDSs to support data sharing and personalization across media organizations. Using a qualitative research design, data …


Corporations’ First Amendment Rights And Algorithmic Cocoons, Sol Murgui Orsucci Jan 2026

Corporations’ First Amendment Rights And Algorithmic Cocoons, Sol Murgui Orsucci

Fordham Journal of Corporate & Financial Law

This Note examines how corporate First Amendment doctrine applies to algorithmic systems that curate commercial information and public discourse across online platforms. Courts have increasingly treated ranking, recommendation, and moderation practices as exercises of protected editorial judgment. At the same time, the Court has justified protection for corporate speech in part by reference to listener-centered interests in access to information and competitive comparison. This Note argues that the interaction between these doctrinal strands and contemporary algorithmic intermediation reveals a structural tension. Data-driven optimization can generate individualized informational environments—what this Note terms “algorithmic cocoons”—in which users encounter content, offers, and prices …


The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark Jan 2026

The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark

Graduate Scholarship and Creative Works

Digital platforms increasingly govern contemporary social, civic, and psychological life through systems optimized for attention capture, amplification, and monetization. While lawful expression remains protected under the First Amendment, the infrastructural mechanisms that determine how speech circulates have produced a range of attention‑based harms, including cyberbullying, engagement farming, compulsive doom scrolling, emotional dysregulation, and civic polarization. This research paper introduces the Attentional Safeguards Model (ASM), coined and formalized by Delante Clark, as a novel governance framework that mitigates such harms by regulating systems of amplification rather than restricting expression itself. Building on attention economy theory, technological mediation, constitutional free‑speech doctrine, …


They're Collecting My Data, So What? The Effects Of Privacy Fatigue On Trust And User Experience, Vanessa Brewster Jan 2026

They're Collecting My Data, So What? The Effects Of Privacy Fatigue On Trust And User Experience, Vanessa Brewster

Dissertations from the Executive Doctorate in Business Administration Program

With the increasingly connected nature of Web 4.0 and the AI-enabled internet, new ways to capture biometric data through smart devices are becoming more commonplace, and users are presented with an overwhelming number of decisions regarding how their data is collected and used. As such, concerns about data privacy remain a key issue among those with varying levels of fears of technology. However, privacy concern scales have not yet been updated to give researchers a full picture of the impact, and with control mechanisms varying widely across countries as regulation struggles to keep pace with innovation, trust in technology can …


Essays In Housing And Consumer Finance, Spencer Stone Jan 2026

Essays In Housing And Consumer Finance, Spencer Stone

Theses and Dissertations--Finance and Quantitative Methods

In my first chapter, I show how consumer left-digit bias affects borrowing costs in the US residential mortgage market. I find that the distribution of mortgage rates bunch at .99-ending rates just below left-digit changing thresholds, and that this bunching is greater in the distribution of rates selected by borrowers than those simply offered by lenders. Comparing observably similar borrowers within the same 1-bp interest rate band, selecting similar mortgage products, in the same census tract and origination month, I show that borrowers receiving .99-ending rates pay significantly more fees than borrowers receiving the nearest whole-number rate just above them, …


A Strategic Analysis Of Project Learn Of Summit County, Alex Kennedy, Tyler Hutchinson, Haley Guest, Zach D. Thomas, Lizzie Sisler Jan 2026

A Strategic Analysis Of Project Learn Of Summit County, Alex Kennedy, Tyler Hutchinson, Haley Guest, Zach D. Thomas, Lizzie Sisler

Williams Honors College, Honors Research Projects

Our group is working with Project Learn of Summit County, a GED and ESL assistance program located in the Akron Public Library. Our group will be performing a strategic analysis and providing them with a strategic plan, to be presented to them at the end of the term. We aim to increase awareness for the program, point out areas of growth, and increase functionality.


Project Learn Strategic Analysis Project, Isabel Ladaika, Kalpana Ghimire, Noah Johnson, Caleb Keiper Jan 2026

Project Learn Strategic Analysis Project, Isabel Ladaika, Kalpana Ghimire, Noah Johnson, Caleb Keiper

Williams Honors College, Honors Research Projects

This honors project involves working in a team to conduct a comprehensive strategic analysis of Project Learn of Summit County. We will evaluate the organization’s external environment (such as industry trends, competition, and community factors) and internal operations (including strengths, weaknesses, resources, and capabilities). Using strategic management frameworks, as a team we will develop actionable recommendations to strengthen the organizations marketing, financial sustainability, and community outreach efforts. Throughout the semester, we will engage directly with the client organization to gather data and insights that inform our analysis. Final deliverables include a formal written strategic analysis paper and a professional presentation …


Project Learn Strategic Analysis, Kendall Hegan, Hunter Kay, Abigail Miller, Rina Xayasy Jan 2026

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.


Whose Responsibility Is It: Corporate Ethics And Supply Chain Accountability In The Uyghur Crisis, Katelyn Evans Jan 2026

Whose Responsibility Is It: Corporate Ethics And Supply Chain Accountability In The Uyghur Crisis, Katelyn Evans

2026 Research Poster Competition

Global supply chains have become increasingly complex, making it difficult to identify and prevent unethical labor practices embedded within everyday consumer goods. In recent years, attention has been directed toward the use of Uyghur forced labor in China, particularly within the fashion and automotive industries. While governments and corporations have faced growing scrutiny, less is known about how consumers perceive responsibility for unethical sourcing and how unethical practices influence their purchasing behavior. This research seeks to examine the question: Whose responsibility is it to address unethical practices in global supply chains? Specifically, the study evaluates perceptions of responsibility across three …


Historical Comparison Of Fashion Symbolism: Evaluating Queen Elizabeth Ii, Princess Diana, And Princess Catherine Of Wales, Rebecca O'Dea Jan 2026

Historical Comparison Of Fashion Symbolism: Evaluating Queen Elizabeth Ii, Princess Diana, And Princess Catherine Of Wales, Rebecca O'Dea

2026 Research Poster Competition

It is no secret that appearance is a determining factor of how one is perceived by others. One of the most significant elements of image is the clothes that one wears. Through dress people reveal aspects about themselves; a person’s attire serves as an expression of their intentions, values, and feelings in relation to their surroundings before any actual interaction takes place. The purpose of this study is to explore the phenomenon of the influential element of dress, specifically within royal costume. Within the public spotlight, the reach and impact of appearance accumulate more attraction and influence. This research focuses …


Evaluating Machine Learning Models For Corporate Financial Forecasting: A Study Of The Dow Jones 30, Faizan Arjamand Ali Jan 2026

Evaluating Machine Learning Models For Corporate Financial Forecasting: A Study Of The Dow Jones 30, Faizan Arjamand Ali

Senior Honors Theses and Projects

This research seeks to determine the effectiveness of machine learning models in predicting revenues of corporations compared to conventional models of financial forecasting. The investigation is based on a group of 21 companies that maintained membership in the Dow Jones Industrial Average (DJIA) between 2010 and 2025. Two machine learning algorithms are assessed: Random Forest and XGBoost. They are compared with the naïve growth model and deterministic linear trend, which serve as benchmarks. To check for statistical significance, the Wilcoxon signed-rank tests are used to compare the mean absolute percentage error (MAPE) and the root mean squared error (RMSE) of …


100 Conversation Starters To Develop Student Critical Thinking In Intermediate And Financial Accounting Courses, Joe B. Hoyle Jan 2026

100 Conversation Starters To Develop Student Critical Thinking In Intermediate And Financial Accounting Courses, Joe B. Hoyle

Bookshelf

INTRODUCTION

Why create a book containing nothing but accounting problems?

The genesis of an idea is often difficult to recall, but I can trace the creation of this project to a single sentence found in a specific book.  One recent summer, to help prepare myself for the upcoming academic year, I began reading Why Don’t Students Like School? by Daniel T. Willingham.  On page 16 of the dog-eared copy I acquired on the Internet, I was drawn to a key sentence like a moth to a flame.  The words were buried rather unobtrusively within a long paragraph but, for me, …


Hospital-Acquired Pressure Injury Reduction: A Quality Improvement Bundle Strategy, Vickey Thompson Jan 2026

Hospital-Acquired Pressure Injury Reduction: A Quality Improvement Bundle Strategy, Vickey Thompson

Doctor of Nursing Practice (DNP) Scholarly Projects

Hospital-acquired pressure injuries (HAPIs) remain a national and global challenge, contributing to preventable harm and negatively affecting patient safety, quality of care, and clinical outcomes. Current evidence underscores opportunities to strengthen pressure injury prevention strategies. Purpose: This quality improvement project implemented an evidence-based pressure injury prevention (PIP) bundle to reduce HAPI rates by improving nursing knowledge and attitudes and increasing adherence to protective dressing application and repositioning practices. Methods: The PIP bundle consisted of targeted education, monitoring of prophylactic dressing application, and structured repositioning strategies focused on turn frequency and offloading angle. Data were collected via pre- and …


Self-Leadership And Perceptions Of Artificial Intelligence: A Single-Case Study, Patrik Garren Jan 2026

Self-Leadership And Perceptions Of Artificial Intelligence: A Single-Case Study, Patrik Garren

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this single-case qualitative project is to uncover how self-leadership’s behavioral and cognitive strategies influence perceptions of Artificial Intelligence (AI) and AI adoption. While existing literature acknowledges that there is an association between self-leadership, technology’s perceived usefulness and ease of use, as well as comfort with AI preparedness and its professional impact, there is limited research on how self-leadership shapes perceptions of AI and AI adoption in real-life contexts. To fill this gap in contemporary literature, this project analyzes qualitative semi-structured interviews with 25 healthcare professionals involved in the implementation of ‘AI Model 1’ at their mid-sized United …


The Bleeding Edge Of Misogyny: How Gender-Based Harassment And Infrastructural Neglect Shape Menstrual Distress, Mackenzie J. Miller Jan 2026

The Bleeding Edge Of Misogyny: How Gender-Based Harassment And Infrastructural Neglect Shape Menstrual Distress, Mackenzie J. Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

Despite growing attention to menstrual health, organizational research has largely overlooked how workplace conditions shape menstrual experiences. Dominant perspectives frame menstruation as an individual issue that negatively affects work, neglecting how features of the work environment – such as gender-based harassment and access to menstrual-related infrastructure – contribute to menstrual distress. Addressing this gap, this dissertation adopts a bidirectional perspective, examining how social and material workplace conditions shape menstrual distress, defined as the extent to which menstrual symptoms interfere with daily functioning. Drawing on the transactional model of stress and objectification theory, I hypothesized that gender-based harassment would predict menstrual …


The Effect Of Innovative Value Proposition On Buyer Reactions: The Moderating Roles Of Price Orientation And Perceived Risk, Chad Stuttz Jan 2026

The Effect Of Innovative Value Proposition On Buyer Reactions: The Moderating Roles Of Price Orientation And Perceived Risk, Chad Stuttz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Value propositions are essential to the success of personal selling in the Business-to-Business (B2B) context. While earlier studies have offered valuable insights into the roles of value propositions in driving B2B sales, they have often regarded value propositions as uniform. In this dissertation, I argue that value propositions vary in their levels of innovativeness. The dissertation introduces the concept of innovative value proposition (IVP) and proposes that IVP indicates greater future growth potential to buyers, leading to more favorable reactions such as responsiveness and willingness to engage than less innovative ones. Additionally, the dissertation explores the moderating effects of buyer …


Examining Moral Susceptibility In Ai Vs. Human-Assisted Decision-Making, Seth James Fogle Jan 2026

Examining Moral Susceptibility In Ai Vs. Human-Assisted Decision-Making, Seth James Fogle

Graduate Theses, Dissertations, and Problem Reports (ETD)

Artificial intelligence (AI) systems are increasingly integrated into decision-making contexts, yet their influence on ethical judgment remains unclear. This study examines whether advice from an AI advisor, compared to a human advisor, affects moral susceptibility in a consumer decision-making scenario. Using a 2 × 2 between-subjects experimental design (advisor type × price condition), this research tests whether personal agency, perceived objectivity, and diffusion of responsibility operate as psychological mechanisms underlying ethical decision-making.

Results indicate that advisor type did not significantly influence moral susceptibility, nor did it significantly affect the proposed mediators. Additionally, the price condition did not moderate these relationships. …


Survival In The Stigmatized Industry (Bitcoin Atm), Brooks Mcadam Jan 2026

Survival In The Stigmatized Industry (Bitcoin Atm), Brooks Mcadam

Graduate Theses, Dissertations, and Problem Reports (ETD)

ii ABSTRACT Survival in the Stigmatized Industry (Bitcoin ATM) Brooks McAdam This paper examines how companies can survive in a stigmatized industry where the same message may attract customers while simultaneously generating skepticism. The study posed the following research question using the Bitcoin ATM industry as the context: Does the message presented on company websites influence the degree of exit risk in a market characterized by moral concerns, exposure to fraud, and unstable regulation? The answer is clear. Messaging is important; however, not every message is equally important. Fee-related messaging emerged as the most consistent predictor of exit risk. Messaging …


Exploring The Determinants And The Effects Of Crypto Assets, Qiu Zheng Jan 2026

Exploring The Determinants And The Effects Of Crypto Assets, Qiu Zheng

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three studies that primarily delve into the factors influencing and outcomes of firms’ crypto assets. The first paper examines the association between corporate crypto assets and firms’ credit ratings. Using a large sample of U.S. public firms, we find that firms holding crypto assets receive significantly better future credit ratings, particularly when their activities are related to crypto mining, which generates relatively stable cash flows. However, crypto exposure also increases disagreement among credit rating agencies, reflecting the uncertainty associated with evaluating crypto-related risks. This effect is more pronounced when firms operate in less transparent information environments …


Upper Echelons And Corporate Venture Capital: Ceo Effects On Investment Direction And Resource Deployment, Ralph Judicael Mompoint Jan 2026

Upper Echelons And Corporate Venture Capital: Ceo Effects On Investment Direction And Resource Deployment, Ralph Judicael Mompoint

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study examines how founder-CEO status shapes the strategic orientation of corporate venture capital (CVC) activity. Drawing on upper echelons theory, I argue that founder-CEOs differ from non-founder CEOs in where they direct CVC investments, not simply in whether they engage in CVC at all. Using a panel of S&P 500 firms spanning 2004 through 2024, I test whether founder-CEOs pursue greater CVC activity overall and whether they concentrate that activity in ventures operating within the firm's core industry. Results from random-effects negative binomial regression models show that founder-CEO status is positively associated with core-industry CVC but not with investments …


Government Financial Statements: The Influence Of Audit Opinion Type On Attitudes Toward Taxation, Stephanie Ann Vonfintel Jan 2026

Government Financial Statements: The Influence Of Audit Opinion Type On Attitudes Toward Taxation, Stephanie Ann Vonfintel

Graduate Theses, Dissertations, and Problem Reports (ETD)

The United States government has a responsibility to American citizens to be a good financial steward of their tax dollars. The inability to fulfill this responsibility is evidenced by 28 consecutive years of audit failures, whereby the Government Accountability Office has been unable to issue an opinion on the United States government’s annual financial statements. An experiment varying audit opinion type is used to evaluate whether the United States government failing (or passing) its annual financial statement audits influences attitudes toward federal taxation. Findings show support for federal taxation is strongest when citizens are told that the United States government …


Taxpayers Willingness To Use Ai Conversational Tools, Nessrine Mesto-Assaad Jan 2026

Taxpayers Willingness To Use Ai Conversational Tools, Nessrine Mesto-Assaad

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the rapid emergence of Artificial Intelligence Conversational Tools (AICTs), such as ChatGPT and Google Gemini, and their widespread use, the need to understand users’ acceptance of this emerging technology has increased. Prior research has investigated users’ acceptance of AICTs in hospitality, tourism, e-commerce, and retail industries. However, users’ acceptance of the use of AICTs for tax information remains relatively underexplored in the tax context. Therefore, this study investigates taxpayers’ willingness to accept and use AICTs for tax-related questions when e-filing their tax returns. Drawing on the Artificial Intelligence Device Use and Acceptance (AIDUA) model as a research framework, this …


Essays On Stock Market Expectations And Financial Decisions, Shanxiang Yang Jan 2026

Essays On Stock Market Expectations And Financial Decisions, Shanxiang Yang

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three essays on stock market expectations and financial decisions. The first essay shows significant racial differences in expectations regarding future stock market performance. Using data from the Federal Reserve Bank of New York’s Survey of Consumer Expectations from 2013 to 2022, we find that, relative to White Americans, Black and Hispanic Americans have lower probabilistic expectations that the stock market will increase. This racial gap in expectations was even larger during the recession caused by the Covid-19 epidemic, suggesting that economic uncertainty exacerbates this heterogeneity in expectations. Furthermore, we show that relative to White Americans, the …


Corporate Social Responsibility Portfolios In Mncs: Strategic Antecedents And Performance Implications, Mariam Yasmin Jan 2026

Corporate Social Responsibility Portfolios In Mncs: Strategic Antecedents And Performance Implications, Mariam Yasmin

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation is to provide theoretical and empirical insights into strategic antecedents and financial performance implications of corporate social responsibility (CSR) portfolios in multinational corporations (MNCs). Specifically, the following research questions are studied: 1. How do the international cultural exploration, exploitation, and ambidexterity of a firm influence its CSR portfolio? (Study 1) 2. Do MNCs earn higher profits if they spread their CSR activities across many sustainable development goals (SDGs), or if they concentrate on them among a few? (Study 2) 3. Does environment, social, & governance (ESG) performance (ESG reputation and ESG controversies) moderate this relationship, …


Do You Walk On By? The Effects Of Donor Fatigue On Willingness To Donate, Shawn Michael Henry Jan 2026

Do You Walk On By? The Effects Of Donor Fatigue On Willingness To Donate, Shawn Michael Henry

Graduate Theses, Dissertations, and Problem Reports (ETD)

Donation solicitation literature validates the successful usage of various solicitation tactics that lead to achieving set donation goals for their associated cause. Yet, while the financial success of “checkout charity” is well-documented, a significant gap remains regarding the impact of high-frequency solicitations on long-term consumer-brand relationship. This research addresses this gap. Over the span of three surveys, this study finds that donation request frequency overall erodes donation likelihood through donor fatigue when donation frequency changes (occasional vs. always). However, this relationship is moderated by the perceived consumer base, with a larger perceived consumer base exacerbating the “diffusion of responsibility.” Further, …


Documenting Sustainable Social Media Workflows: Supporting Student Professionalization In Faculty-Student Teams, Jenny Rissen Jan 2026

Documenting Sustainable Social Media Workflows: Supporting Student Professionalization In Faculty-Student Teams, Jenny Rissen

Master's Projects

This capstone project, Documenting Sustainable Social Media Workflows: Supporting Student Professionalization in Faculty-Student Teams, examines how departmental social media teams serve as informal training grounds where students build professional identities through collaborative, often undocumented communication work (Buck; Leon & Pigg). Addressing writing studies concerns about experiential learning gaps (McNabb; Carr et al.), the project creates a handbook offering practical guidance for onboarding, workflow continuity, accessibility, and ethical social media practices. It shows how mentorship and structured documentation turn everyday digital work into meaningful professional development. Situated in technical communication and rhetoric, the project demonstrates how social media teams help …