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Exploring The Relationship Between Workplace Social Capital, Organizational Commitment, And Intent To Stay Among Clinical Nurses In The Acute Care Setting, Leigh Erin Griffis-Cogan

Theses & Dissertations

Background

The persistent nursing shortage, exacerbated by the COVID-19 pandemic and the subsequent “Great Resignation,” continues to challenge healthcare systems nationwide. High turnover rates among acute care nurses negatively affect patient outcomes, organizational stability, and healthcare costs. Prior research highlights the importance of workplace factors, such as social capital and organizational commitment, in shaping nurses’ intentions to stay in their roles. However, limited studies have examined these relationships collectively within the acute care setting.

Purpose

The purpose of the quantitative cross-sectional study was to examine the relationships between workplace social capital, organizational commitment, and intent to stay among clinical nurses …

Coping Under Constraint: How Consumer Vulnerability And Caregiver Status Shape Food Choice And Well-Being, Kerry-Ann V. Forbes, Prachi Gala

AMTP Proceedings 2026

Caregiving is a chronic and understudied form of consumer vulnerability that reshapes everyday decision-making, particularly in food contexts. This research conceptualizes caregiving as a sustained role-based vulnerability. It proposes a moderated-mediation model in which consumer vulnerability influences coping strategies that subsequently affect food choice and consumer well-being. Drawing on the Theory of Planned Behavior, Coping Theory, and Transformative Consumer Research, the study examines how caregiver status (familial, professional, or non-caregiver) serves as a boundary condition that shapes these relationships. A three-phase mixed-methods design is employed: qualitative interviews to refine constructs, a survey–experiment to test the moderated-mediation model, and an experimental …

Analyzing Big Data-Ai's Impact On Product Innovation And Customer Engagement, Omar Itani, Samer Elhajjar, Ashish Kalra Dr, Manal Yunis Dr.

AMTP Proceedings 2026

In contemporary business landscapes, an organization's capacity to deliver groundbreaking innovative products and foster deep, meaningful engagement with its customers stands as the paramount objective of modern strategic practices. This dual focus not only drives sustainable growth but also fortifies competitive positioning in hyper-competitive markets. Yet, despite the extensive empirical evidence highlighting the transformative benefits of innovation—such as enhanced market share and profitability—and customer engagement—evidenced by loyalty, advocacy, and repeat business—the pivotal role of big data-artificial intelligence (BD-AI) technologies remains strikingly underexplored. In particular, scant attention has been paid to how BD-AI training equips firms to harness these tools effectively …

When Faces Do Not Help: Visual Design And Engagement For B2b Technology Brands On Instagram, Ali Jamei, Sima Sabahi

AMTP Proceedings 2026

Firms increasingly use visual content on social media to connect with customers, yet most evidence on what drives engagement comes from consumer or personal contexts. This study examines how simple visual features in Instagram photos posted by B2B technology brands relate to engagement, interpreted through processing fluency. The dataset contains 600 photos from 30 B2B technology brands. For each image, we record likes and comments, collect brand and post level metadata, and use Microsoft Azure computer vision tools to detect faces, classify their age group and gender, and identify the dominant background color. Negative binomial models show that the presence …

Dressed For Judgment: What Should Celebrities Wear To Court?, Alaina Jean, Emily Lesmes, Hyunju Shin

AMTP Proceedings 2026

This project explores consumers’ perceptions of celebrities facing criminal charges based on their choice of outfit. On the basis of Weiner’s attribution theory, we argue that when celebrities facing criminal charges are attired in traditional/professional outfits such as a black suit for males or a black knee-length dress for females in court compared with non-traditional/casual outfits such as a casual shirt with a defiant print and sneakers, consumers are likely to infer their remorse for their wrongdoings, which in turn may lead to more favorable attitudes toward the celebrity and higher forgiveness intentions. This research expands understanding of how consumers’ …

Bias In Generative Ai: Amplified Stereotypes And Their Impact On Decision-Making, Jaymo Kim, Mi Zhou, Vibhanshu Abhishek, Tim Derdenger, Kannan Srinivasan

AMTP Proceedings 2026

This study examines bias in generative AI through an analysis of approximately 8,000 occupational portraits created by Midjourney, Stable Diffusion, and DALL·E 2. We document significant underrepresentation of women and Black individuals compared to real-world benchmarks. The research identifies two primary manifestations of bias: systematic gender and racial disparities, and subtle biases in facial expressions that influence perceptions of competence and trustworthiness. Through an iterative "Creative Lab" involving a fictional brand, we employ a three-phase experimental design to test whether AI disclosure labels—as proposed in the AI Disclosure Act of 2023—can mitigate the impact of these biases on consumer evaluations. …

Understanding The Controversy Of Tipping Fairness: Insights From Paradox, Sensemaking, And Equity Theories, Madilynn Moen, Ralf Mehnert-Meland, Wooyang Kim

AMTP Proceedings 2026

Tipping in the U.S. has become increasingly controversial as widening disparities and “tip creep” intensify inequities among tipped employees who receive a certain amount of minimum tips in the U.S. This contradictory situation, a social issue among various stakeholders—including employees, employers, consumers, and public policymakers in labor law—raises a critical question: “Who should hold primary accountability for ensuring wage fairness and guaranteeing a livable income for minimum-wage workers?” As ongoing preliminary research, this study aims to explore potential answers to this question by examining the evolution of tipping contexts and cultures associated with various stakeholders by incorporating three theoretical grounds—paradox …

Understanding The Benefits Of The Choice Of Free Gifts In Consumer Sales Promotions, Atmadeep J. Mukherjee, Ronn J. Smith, Scot Burton

AMTP Proceedings 2026

Free gifts associated with a focal product have long been recognized as one effective form of sales promotion that is valued by consumers. However, in recent years, in contrast to offering a single fixed free gift to consumers, some marketers have begun to offer consumers the choice among several possible free gifts. In this research, consumer responses to the choice of a free gift are compared to the offer of a single fixed gift. We show how the choice offered to consumers attenuates greater risk associated with the promoted focal product and how the choice can reduce unfavorable effects of …

Subsidiary Autonomy, Internal Embeddedness, And Innovation: The Role Of Government Intervention In Brazilian And Mexican Multilatinas, Ji Eun Park, Dominic Buccieri

AMTP Proceedings 2026

This study examines innovation-based foreign direct investment of multilatinas. More specifically, how multilatinas utilize subsidiaries located to drive innovation performance. Partial least squares structural equation modeling is used to analyze a sample of 92 multilatinas from Brazil and Mexico. This study advances the multilatinas literature by examining how Brazilian and Mexican firms that experience varying levels of government intervention in their home countries related to internationalization and innovation pursue innovation-driven internationalization into developed markets. Our study contributes to the discussion that multilatinas are a heterogenous group despite the common history of the Latin American region.

Our results indicate that delegating …

Out Of Everything: Consumer Response To Extreme Scarcity, Melodie Philhours, Courtney Peters, John E. Mello

AMTP Proceedings 2026

Product shortages often evoke strong emotional reactions and subsequent behavioral responses that can amplify market disruptions. This research explores consumer behavior during two high-profile shortage events: the 2012 and 2020 U.S. ammunition shortage and the COVID-19 pandemic’s staple goods shortage. Using a comparative qualitative case study design, this research develops a psychologically grounded process model to explain how perceived scarcity can trigger emotional arousal, overreaction, and persistent marketplace behaviors. Drawing from reactance and self-determination theories, this research reveals how threats to autonomy, competence, and relatedness lead consumers to engage in coping tactics such as panic buying, hoarding, extended search, and …

When Brand Protection Leads To Brand Crisis: The Case Of Disposable Fashion, Priya Rangaswamy, Rohini Daraboina, Lizhihan Yu

AMTP Proceedings 2026

Firms in the fashion industry have a practice of disposing unsold inventory to protect their brand value. It has gained a lot of importance in the media due to increasing consumer awareness about sustainability and has led to consumer backlash. This research examines whether this practice negatively impacts firm value, contrary to the firm’s belief. Specifically, the authors examine the effects of news on inventory disposal on short-term cumulative abnormal returns using an event-study methodology. Results show that news of this practice has a negative relationship with firm value for both the focal firm engaged in the practice and rival …

What It Means To Be Latino: Exploring Identity Among U.S.-Born Gen Z Youth, Santiago Reyes, Alessandra Noli Peschiera, Melany Sarcevic, Tatiana Garcia, Leen Tlanepantla

AMTP Proceedings 2026

This study explores how U.S.-born Hispanics and Latinos define their identity within a rapidly growing and increasingly diverse demographic group. As the Hispanic population expands, traditional labels such as Hispanic and Latino often fall short of capturing the community’s cultural, linguistic, and generational complexity. With most growth now coming from U.S.-born generations, identity is shaped by a blend of American influences and heritage traditions, making it more fluid and context-dependent. Guided by Social Identity Theory and Hofstede’s cultural dimensions, this research uses focus groups with Gen Z participants to examine how they describe themselves, what characteristics they associate with being …

Cute, Collectible, And Contagious: Understanding The Starbucks Bear Cup Phenomenon, Natalya Vodopyanova

AMTP Proceedings 2026

This study examines the Starbucks Bear Cup phenomenon to understand how identity expression, scarcity perceptions, and fear of missing out (FOMO) shaped consumer engagement during a highly publicized limited-edition product drop. Using Consumer Culture Theory and scarcity/FOMO frameworks, the research investigates how consumers constructed meaning around the Bear Cup through social media displays, community rituals, and symbolic participation. A qualitative content analysis of Instagram posts revealed five dominant patterns: celebratory acquisition posts, expressions of scarcity frustration, curated identity displays, community interaction, and creative substitution using bear-shaped alternatives. Findings show that consumers used the cup as a vehicle for identity signaling …

Conversation Analysis Of Public-Servant And Persons-Of-Interest Face-To-Face Talk Via Llm‑Supported Ai Script Mapping Tools, Arch G. Woodside, Suresh Sood

AMTP Proceedings 2026

Professional public servants (PSs) including police officers, postal workers, and government tax office and DMV employees interact face-to-face with citizens/persons of interest (POIs), in encounters that are frequently recorded using mobile phones and publicized on platforms such as YouTube.com. Building on our observations about recurrent PS–POI scripts and LLM-supported analysis, we develop five grounded propositions linking enacted scripts to existing theory. The propositions focus on describing early turn-taking asymmetry, the importance of sequential detail beyond-shallow analysis, the predictive role of script recurrence, the value of rich, script-based role-play, and the potential of narrative-intelligence databases for institutional learning. Instead of treating …

Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim

Research Collection School Of Accountancy

Using an international sample of firms and two country-level measures of financial literacy, we find robust evidence of a positive relation between financial literacy and firms' Environmental, Social and Governance (ESG) disclosures. In cross-sectional analyses, we find that the effect of financial literacy in enhancing ESG disclosures is more prominent in poorer information environments, weaker legal institutions and weaker ESG reporting environments. Lastly, we find that financial literacy also enhances ESG performance. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy enhances firms' ESG disclosure and the associated ESG performance.

The Citizen And The Smart City: A Global Comparison Of Institutional Logics, Tim Bunnell, Zachary Spicer, Byron Miller, Teresa Abbruzzese, Paolo Cardullo, Sangwon Chae, I-Chun Catherine Chang, Greig Charnock, Ming-Kuang Chung, Kwon Heo, Sue-Ching Jou, Andrew Karvonen, Olga Kordas, Kong, Lily, Ramon Ribera-Fumaz, Haeran Shin, Orlando Woods

Research Collection College of Integrative Studies

Crucial urbanists’ placement of smart city initiatives in Western Europe or North America mostly on the “low” rungs of participatory ladders or scaffolds does not mean that smart urban development necessarily connotes democracy-eroding neoliberalization everywhere. This article offers a more globally variegated and dynamic understanding of the relationship between citizens and smart cities. We apply an institutional logics framework to the citizen-smart city nexus in seven cities spanning three world regions, considering the interplay of citizen-centric logics with techno-innovation-oriented and bureaucratic/managerial logics. Appreciating contextually specific institutional orders helps to explain why similar initiatives and intentions yield different outcomes across time …

A Market Of Care Skills: Profiting From Professional Education And Practice, Yasmin Y. Ortiga

Research Collection School of Social Sciences

Who profits from the commodification of care and how does such accumulation occur? Focusing on the case of the nursing care market, this paper shows how professional schools and local hospitals within source nations like the Philippines profit from nurses seeking the credentials to qualify for jobs overseas. While existing studies show how nursing skills are exploited and undervalued, this paper argues that it is the process of skilling itself that allows for the accumulation of profit, regardless of whether nurses leave their origin countries to work abroad. This study reveals how global care economies are tightly linked to local …

Sequencing Dengue Control Policy In Singapore: An Evolutionary Perspective For Policy Design, Ishani Mukherjee, Panchali Guha

Research Collection School of Social Sciences

About half the global population is now at risk of contracting dengue, a mosquito-borne viral infection that can cause severe morbidity and fatalities. Effective dengue control depends on controlling the mosquito vector, but finding the right mix of vector control policies has proved challenging. Using a content analysis of 208 Hansard records from parliamentary proceedings in Singapore, where dengue outbreaks have significantly increased in both frequency and magnitude since the early 1990s, we trace the processual evolution of Singapore’s anti-dengue policy mix from 1960 to 2023 and conclude that the evolution of dengue control policies is consistent with a customized …

Variation In Corneal Biomechanical Properties Following Continuous Cross-Linking Treatment, Chenhao Zhao, Xinyu Yao, Yewei Zhao, Hongjiang Wu, Xuanya Tong, Daniela Oehring, Lan Yang, Xiaofei Zhou, Ying Li, Yanjie Shen, Yufeng Ye, Shihao Chen, Jia Qu, Qinmei Wang, Ahmed Elsheikh, Fangjun Bao

School of Health Professions

Background: This retrospective study aimed to evaluate the efficacy of transepithelial accelerated corneal cross-linking (transEpi ACXL) when applied separately or combined with phototherapeutic keratectomy (transPTK ACXL) in keratoconic eyes using biomechanical parameters. Methods: The study included eyes with progressive keratoconus treated with either continuous transEpi ACXL or transPTK ACXL with 6 months follow-up. The following parameters were assessed preoperatively and 6 months postoperatively: biomechanically corrected intraocular pressure (bIOP), maximum and mean keratometry (K _max and K _m), minimum and central corneal thickness (MCT and CCT), corneal coma, best-corrected visual acuity (BCVA), deformation amplitude ratio at 2 mm nasal/temporal (DAR2), …

Weather Rescue At Sea: Recovering Historical Weather Observations From 19th Century British Naval Ships, Praveen Teleti, Ed Hawkins, Clive Wilkinson

Research Collection College of Integrative Studies

Ship logbooks represent a critical source of historical meteorological data, providing valuable observations of barometric pressure, air temperature, sea surface temperature, wind force and direction, and other variables. Substantial quantities of these records are unavailable to climate science as they have not yet been transcribed. We present ‘Weather Rescue at Sea’, a citizen-science project which transcribed millions of weather observations contained in 19th Century UK Royal Navy ship logbooks. We describe the logbook structure and weather observation-taking instructions and discuss significant challenges with the translation of handwritten text into accurate data due to errors arising from ambiguous handwriting, historical terminology, …

On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of “AI as a teammate” in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigated project-level guidelines and developers’ interactions with AI-assisted pull requests (PRs) by expanding the AIDev dataset to include finer-grained contributor code ownership and a comparative baseline of human-created PRs. We found that over 67.5% of AI-co-authored PRs originate from contributors without prior code ownership. Despite this, the majority of repositories lack guidelines for AI-coding agent usage. Notably, we observed a distinct interaction pattern: AI-co-authored PRs …

Who Said Cve? How Vulnerability Identifiers Are Mentioned By Humans, Bots, And Agents In Pull Requests, Pien Rooijendijk, Christoph Treude, Mairieli Wessel

Research Collection School Of Computing and Information Systems

Vulnerability identifiers such as CVE, CWE, and GHSA are standardised references to known software security issues, yet their use in practice is not well understood. This paper compares vulnerability ID use in GitHub pull requests authored by autonomous agents, bots, and human developers. Using the AIDev pop dataset and an augmented set of pull requests from the same repositories, we analyse who mentions vulnerability identifiers and where they appear. Bots account for around 69.1% of all mentions, usually adding few identifiers in pull request descriptions, while human and agent mentions are rarer but span more locations. Qualitative analysis shows that …

Autologger: A Multi-Agent Framework For The End-To-End Automated Logging, Renyi Zhong, Yintong Huo, Wenwei Gu, Yichen Li, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Software logging is critical for system observability, yet developers face a dual crisis of costly overlogging and risky underlogging. Existing automated logging tools often overlook the fundamental whether-to-log decision and struggle with the composite nature of logging. In this paper, we propose AutoLogger, a novel hybrid framework that addresses the complete the end-to-end logging pipeline. AutoLogger first employs a fine-tuned classifier, the Judger, to accurately determine if a method requires new logging statements. If logging is needed, a multi-agent system is activated. The system includes specialized agents: a Locator dedicated to determining where to log, and a Generator focused on …

Beyond Anomaly Detection: Classifying Attacker Automation Level From Ssh Honeypot Behavioral Signatures, Ashley Alt

Theses

The proliferation of AI-assisted offensive tools has introduced a new category of cyber attacker that combines the speed of automation with the adaptive reasoning previously associated only with skilled human operators. Despite the richness of behavioral data captured by SSH honeypots, existing analyses treat interaction logs primarily as evidence of malicious activity rather than as a dataset capable of distinguishing between attacker types. This thesis investigates whether human-driven, traditionally automated, and AI-assisted attackers produce distinguishable behavioral signatures within SSH honeypot interactions, and whether machine learning techniques can reliably classify attacker behavior from session-level features. A controlled experimental architecture was developed …

Detailed Single-Cell Mapping Of The Transcriptional Response To A Virus Infection Driven By Copy-Back Viral Genomes, Yanling Yang, Emna Achouri, Munyaradzi Tambo, Carolina B. López

2020-Current year OA Pubs

The antiviral response to several clinically significant viruses, including respiratory syncytial virus and parainfluenza virus, is driven by copy-back viral genomes (cbVGs) generated during virus replication. However, the broader impact of cbVGs on the functional states of host cells remains undefined. Here, we developed a single-cell RNA-sequencing and computational framework to map cbVG-driven host responses during Sendai virus infection. Unsupervised profiling identified distinct transcriptional states throughout the course of infection, highlighting a shift from early antiviral signaling to later inflammatory and remodeling programs. Stratifying infected cells by cbVG status demonstrated that cbVG-positive cells initiate interferon and chemokine programs, which later …

Mental Health Symptom Screening Among Adult Emergency Department Patients: A Cross-Sectional Study, Jacob Langkiet, Rachel M Ancona, Et Al.

2020-Current year OA Pubs

OBJECTIVES: Mental health symptoms profoundly influence healthcare outcomes and utilization. Although mental health conditions are common in emergency department (ED) patients, routine, noncrisis screening is not consistently implemented; thus, problems may go unrecognized outside of psychiatric crisis presentations. We aimed to estimate the prevalence of current symptoms of anxiety, depression, and posttraumatic stress disorder (PTSD) among ED patients using validated screening tools.

METHODS: We conducted a secondary analysis of cross-sectional data from 1305 randomly selected, adult patients from 3 urban, academic EDs. Validated survey instruments included (i) Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety Short Form 8a, (ii) Emotional Distress …

Preoperative Imaging For Cochlear Implantation: A Global Consensus, Farid Alzhrani, Craig Buchman, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Preoperative imaging is vital for cochlear implant surgeries, aiding diagnosis, and surgical planning. This study evaluated global practices and the value of preoperative imaging through an international survey.

METHODS: A cross-sectional survey was conducted among international cochlear implantation experts using a 112-item questionnaire. The study explored imaging modalities, anatomical targets, evaluated parameters, and different imaging approaches' perceived value and risks. Participants were recruited from a global consortium of otolaryngology, otology, neurotology, and cochlear implant surgery professionals.

RESULTS: Thirty-nine practitioners from 36 centers in 16 countries completed the survey (95.1% response rate). All used computed tomography (CT) and magnetic resonance …

Early Parenting Stress And Later Abuse Risk: Dyadic Mediation By Maternal And Paternal Negative Attributions, Jewelian N. Fairchild

Psychology Theses & Dissertations

Parenting stress and negative parental attributions are key contributors to child abuse risk. Early parenting stress may increase a parent’s risk of negatively appraising their child’s behaviors, which, in turn, may influence their likelihood of harsh or abusive parenting. Grounded in Social Information Processing (SIP) Theory, the present study explored how these processes evolve over time and differ between mothers and fathers. Specifically, this study investigated whether parental negative attributions mediated the relationship between early parenting stress and later abuse risk. A sample of 203 first-time mothers and 151 of their male partners were recruited prenatally as part of a …

Exploring System Wide Trust And Dependency Behavior Within An Aviation Environment, Austin Jackson

Psychology Theses & Dissertations

The present study examined the theory of system-wide trust within the context of a multi-tasking aviation environment. Previous research suggested that unreliable automation can negatively affect a human operator’s trust in reliable automation within the same system (Rice & Geels-Blair, 2010). However, previous studies have not looked at how trust develops in the context of a multi-tasking environment, nor how different types of errors may affect trust in and the use behavior of automation. The current study employed a 2 x 2 mixed design with drone reliability (60% reliable vs 90% reliable) and error bias (false alarm vs. miss errors) …

Pushing High-Performance Private Inference Towards Resource-Constrained Edge Clients, Xiangrui Xu

Computer Science Theses & Dissertations

The widespread adoption of Machine Learning as a Service (MLaaS) has enabled resource constrained edge clients, such as mobile and IoT devices, to leverage powerful deep learning mod els hosted on the cloud. However, this paradigm introduces critical privacy challenges regarding the client’s sensitive input data and the server’s proprietary model parameters. While cryptographic techniques like Homomorphic Encryption (HE) and Multi-Party Computation (MPC) enable Private Inference (PI), existing frameworks impose prohibitive computational and communication overheads that render them impractical for edge deployment. This dissertation introduces three novel frameworks—SPOT, LUTless, and PrivShap—to systematically address the efficiency bottlenecks of PI in edge …