Business Commons^™

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

Check-In With A Chatbot: How Robots Are Redefining The Smart Hotel Experience, Jiaxin Sylvia Wang, Xiaoxiao Fu

Rosen Research Review

The research by Wang and Fu explores how guests perceive and experience smart hotels, with a particular focus on human–robot interaction. Analyzing 546 online reviews from Chinese travelers, the study identifies five key dimensions of guest gratification: utilitarian, sensual, social, experiential, and overall satisfaction. Guests praised smart servicescapes, robot efficiency, and novelty, while also expressing emotional connections and expectations for personalized interaction. The findings offer hospitality leaders a roadmap for designing smart hotel experiences that are not only functional but emotionally engaging.

Co-Working With Machines: How Service Robots Shape Frontline Employee Experiences And Well-Being, Cynthia Mejia, Hannah A. Crandell, Emily Broker, Mindy Shoss

Rosen Research Review

The research by Mejia, Crandell, Broker, and Shoss reveals the complex realities faced by restaurant workers navigating the rise of service robots. Through in-depth interviews with 42 frontline employees, the study uncovers how robot adoption affects collaboration, productivity, emotional well-being, and perceptions of job security. While robots reduce physical strain and offer entertainment value, they also spark frustration, resentment, and fears of displacement. This research offers hospitality leaders a human-centered roadmap for integrating service robots in ways that support—not replace—the workforce.

When Robots Say Sorry: Emotions, Apologies, And The Future Of Service Recovery, Ruby Hong Ngoc Nguyen, Ngoc Tran Nguyen, Murat Hancer

Rosen Research Review

The research by Nguyen, Tran Nguyen, and Hancer reveals how human–robot collaboration and apology styles shape customer retention after service failures. Using experimental scenarios, the study shows that robots can effectively lead recovery efforts—especially when paired with economic apologies—while human involvement enhances the impact of social apologies. Comfort emotions and continued robot usage mediate the path to loyalty, offering hospitality leaders a blueprint for designing emotionally intelligent service recovery strategies.

Reviews That Reveal Return: When Guest Feedback Becomes A Predictor Of Future Visits, Jeong-Yeol Park, Wookjae Heo, Jongwon Lee, Shinyong Jung

Rosen Research Review

The research by Park, Heo, Lee, and Jung reveals how online hotel reviews do more than express opinions—they predict whether guests will return. By blending the Theory of Planned Behavior with machine learning, the study uncovers how attitudes, social influence, and perceived control embedded in review language shape actual revisit behavior. This innovative approach transforms unstructured text into actionable insights, offering hospitality professionals a powerful new lens on customer loyalty.

Paws And Persuasion: How Dog Influencers Shape Hotel Booking Decisions, Wei Wei, Lu Zhang, Tianyu Ying, Yanyan Zheng

Rosen Research Review

The research by Wei, Zhang, Ying, and Zheng explores how pet influencers—specifically dog influencers on Instagram—impact hotel booking intentions. Through two experiments, the study reveals that message appeal (rational vs. emotional) interacts with audience characteristics like prior experience and perceived attractiveness of the pet influencer. Rational messages are more persuasive for less experienced travelers and when the pet influencer is perceived as less attractive. Emotional messages, while engaging, are less effective in these contexts. This research uncovers the nuanced power of pet influencer marketing and offers practical strategies for hospitality marketers seeking to tap into the booming “cute economy” of …

Intelligence Unleashed: How Generative Ai Is Rewriting The Rules Of Tourism Education And Research, Tarik Dogru, Nathana Line, Lydia Hanks, Fulya Acikgoz, Je'anna Abbott, Selim Bakir, Adiyukh Berbekova, Anil Bilgihan, Ali Iskender, Murat Kizildag, Minwood Lee

Rosen Research Review

The research by Dogru, Line, Hanks, Acikgoz, and colleagues explores how generative artificial intelligence (GAI) is transforming higher education and academic research in tourism and hospitality. From personalized learning to automated data analysis, GAI offers unprecedented opportunities— but also raises ethical and legal concerns. The study frames GAI as a disruptive innovation, challenging traditional models of teaching, authorship, and intellectual property. It calls for structural changes in curricula, transparent policies, and collaborative efforts to ensure responsible integration. With tools like ChatGPT already reshaping classrooms and research labs, this paper offers a timely roadmap for educators, researchers, and administrators navigating the …

Level Up Your Stay: How Energy-Saving Games Are Changing Green Hotel Loyalty, Aili Wu, Juhee Kang, David J. Kwun, Wei Wei

Rosen Research Review

The research by Wu, Kang, Kwun, and Wei reveals how gamification—specifically achievement-based energy-saving games—can transform hotel guests’ attitudes and behaviors toward sustainability. By integrating achievement-goal theory and the theory of planned behavior, the study shows that when guests feel challenged and motivated, they are more likely to engage in green practices and return to the hotel. Interestingly, perceived control over the game sometimes reduces revisit intentions, suggesting that too much ease can lead to boredom. Guests with prior green hotel experiences respond even more positively to gamified sustainability. This research offers a fresh perspective on how hotels can use game …

When Customers Collide Online: The Hidden Power Of Approval In Digital Service Failures, Wei Wei, Lu Zhang, Bobbie Rathjens, Sean Mcginley

Rosen Research Review

The research by Wei, Zhang, Rathjens, and McGinley reveals a surprising twist in how restaurant customers respond to online interactions after a service failure. When fellow customers chime in—either with support or mockery—their comments can dramatically shape how the original complainant feels, engages, and judges fairness. But the real game-changer? Whether the customer craves approval. Those with low need for approval react strongly to the tone of others’ comments, while high-approval seekers remain emotionally steady. This study uncovers the psychological undercurrents of electronic customerto- customer interaction (eCCI), offering fresh insights into empathy, justice, and digital engagement in hospitality.

Putting Humanity First In Service Robotics: For Me, Robotics Is About Giving Hospitality Teams The Breathing Room To Care More Deeply For People., Manuel Rivera, Cynthia Mejia

Rosen Research Review

In an engaging conversation with Juan Higueros, Co-Founder and COO of Bear Robotics, we explore his vision for human-centered robotics and how technology can empower hospitality teams to deliver deeper, more meaningful guest experiences.

Sky-High Expectations: How Drones And Emotions Are Reshaping Food Delivery In Africa, Frank Badu-Baiden, Weisheng Chiu, Eudora Hagan, Victor Anderson Hodibert

Rosen Research Review

The research by Badu-Baiden, Chiu, Hagan, and Hodibert unpacks the emotional, social, and psychological puzzle behind consumer acceptance of drone food delivery in Ghana. Using complexity theory and fsQCA, the study shows multiple adoption paths. Motivation, emotion, perceived risk, and social influence shape intention and willingness to pay. Positive emotions and usefulness drive interest, while privacy concerns and negative feelings hinder it. Trust and cultural context matter deeply.

Boarding By Biometrics: How Smart Technology Is Reshaping Passenger Experience, Xiaoting Chi, Frank Badu-Baiden, Seongseop (Sam) Kim, Junwei Cao, Elena-Nicoleta Untaru, Heekyoung Jung, Heesup Han

Rosen Research Review

The research by Chi, Badu-Baiden, Kim, Cao, Untaru, Jung, and Han explores how biometric boarding transforms airline travel. Using technology acceptance, agenda setting, and behavioral reasoning theories, the study reveals how ease of use, usefulness, media exposure, and attitudes shape adoption. Findings stress convenience, engagement, and targeted communication, with age and gender influencing responses. For airport managers and designers, the research offers practical strategies for secure, efficient, and passenger-centered boarding systems.

The Pleasure Principle: Why Enjoyment May Be The Missing Link In Ai Adoption, Arthur Huang, Ahmet Bulent Ozturk, Tingting Zhang, Efren De La Mora Velasco, Adam Haney

Rosen Research Review

The research by Huang, Ozturk, Zhang, de la Mora Velasco, and Haney reveals a compelling insight: enjoyment—not just efficiency—is a key driver of whether guests will continue using AI in hospitality and tourism. By expanding the expectation-confirmation model, the study shows that perceived enjoyment, alongside performance and satisfaction, plays a pivotal role in shaping future use intentions. This shift toward hedonic value reframes how hoteliers and tourism professionals should design and promote AI services. The findings suggest that delight, fun, and emotional resonance are just as important as functionality when it comes to long-term engagement with AI-powered experiences.

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, …

Two Papers Exploring Cognitive Fit Theory And Data Visualization In Accounting, Kelly Wellman

Graduate Studies Theses and Dissertations 2026

This dissertation examines how data visualization design influences judgment and decision making in accounting using cognitive fit theory as a unifying framework. As visualization tools such as dashboards, Excel, Tableau, and Power BI become increasingly prevalent, understanding which design choices improve performance has become critical. The first paper provides a structured literature review of cognitive fit theory from 1991 through 2025, synthesizing research across accounting and related disciplines and tracing its evolution from early graph vs tables comparisons to mor recent work incorporating task complexity, individual differences, and design-specific features. The review identifies key gaps, including limited attention to difference …

Human And Ai Support In Business Simulations: A Quasi-Experimental Mixed Methods Study Of Performance At Scale, Sara Willox

Graduate Studies Theses and Dissertations 2026

Large classes change what instruction looks like. In hybrid business courses with high enrollment, it becomes harder to respond to individual students, and performance can suffer as a result. This study looked at what happens when that gap is addressed in different ways during an eight-week business simulation at the University of Central Florida. Six course sections were divided into three study groups. One group worked without support, one received instructor guidance, and one used AI tools that included a course search system and generative responses. Student outcomes were based on weekly profit and loss recorded in Sim Companies. The …

Two Studies Exploring Signal-Environment Fit In Ai-Assisted Managerial Decision-Making Under Uncertainty, Oleksandr Kondrachuk

Graduate Studies Theses and Dissertations 2026

This dissertation examines how the fit between the characteristics of artificial intelligence systems and the uncertainty environment shapes managerial reliance on AI advice. Organizations increasingly deploy different AI systems, such as predictive and generative, to support management accounting decisions. However, the accounting literature has mainly treated AI as a single undifferentiated entity. This dissertation addresses this gap through two related studies. In the first study, drawing on signaling theory and ecological rationality, I develop a signal-environment fit framework proposing that the reliance on a certain AI system depends on the match between system characteristics (input, process, output) and uncertainty characteristics. …

Two Essays On Out-Of-Town Home Buyers, Kamrul H. Talukdar

Graduate Studies Theses and Dissertations 2026

This dissertation analyzes the price premia paid by Out-of-Town (or non-local) home buyers. The first essay investigates the role of social connectedness in the price premia paid by non-local buyers in the residential housing market. Using over 74,000 residential transactions from Orange and Seminole counties, Florida between 2016 and 2019 and exploiting the Social Connectedness Index (SCI) constructed based on Facebook friendship links, I show that non-local buyers who come from regions which are more socially connected to the purchase location pay about 1.8% to 2.1% lower premia compared to those coming from less connected regions. This effect is attributed …

Developing A System Dynamics Framework For Sustained Digital Transformation, Quintal Battle

Graduate Studies Theses and Dissertations 2026

Despite significant organizational investments, more than 70% (Ellmer et al., 2025) of digital transformation initiatives fail. The existing literature evaluates transformation mechanisms as separate factors rather than as interacting, evolving feedback systems. This dissertation addresses this gap by developing and validating a system dynamics framework for sustained digital transformation. Guided by three research questions, the study examined the mechanisms that enable or constrain transformation, identified mechanisms distinctive to digital transformation contexts, and evaluated how existing change management frameworks guide transformation efforts. The study followed a six-phase methodology that combined a systematic literature review of peer-reviewed studies, empirical cases, causal loop …

How Does Economic Policy Uncertainty Affect Individual Contributions To Retirement Accounts?, David I. Becker

Honors Undergraduate Theses

This study tests whether Economic Policy Uncertainty (EPU) is associated with U.S. retirement contributions and whether responses differ across account types. Using annual contribution data for defined contribution plans and Traditional and Roth IRAs with the Baker, Bloom, and Davis EPU index, I estimate multivariate regressions with standard macroeconomic controls and compare contemporaneous and lagged specifications. EPU is positively associated with 401(k) contributions, negatively associated with Traditional IRA contributions in the contemporaneous model, and not statistically significant for Roth IRAs. These results suggest uncertainty may shift how households save for retirement rather than uniformly reducing retirement saving.

Customer Perceptions Of Tipping In Minimal-Service Food Settings, Fabian R. Rodriguez Gomez

Honors Undergraduate Theses

As digital payment systems and point-of-sale technologies become increasingly common, customers are encountering more frequent requests to tip in minimal-service food settings, such as coffee shops, pizza parlors, and quick-service restaurants. These changes have prompted discussions regarding the fairness of tipping, customer willingness to tip, and the growing phenomenon of tipping fatigue. The purpose of this study was to examine how employee effort, social pressure, and social obligation influence customer perceptions of tipping in minimal-service food settings.

A quantitative experimental research design was used with 328 participants recruited through the online platform Prolific. Participants were randomly assigned to scenarios manipulating …

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 …

Well, If You Put It That Way Three Studies On Contract Framing In Incomplete Contract Environments, Garrison L. Nuttall

Graduate Studies Theses and Dissertations 2026

This dissertation contains three studies examining contract framing, with implications for how organizations structure and frame performance-based compensation systems. Across all studies, I compare penalty contracts to bonus contracts with gain framing and bonus contracts with loss framing. My first study examines how managers prefer to frame performance-based compensation systems on average and identifies how the traits trust propensity, empathy, personal norm of reciprocity, loss aversion, Machiavellianism, and critical thinking disposition are associated with certain preferences. I find that mangers prefer bonus contracts to penalty contracts on average and that empathy is positively associated with this preference. My second study …

Cracking The Code Of Ai Autonomy: Examining The Role Of Challenge And Hindrance Appraisals And Ai Literacy In Task Satisfaction, Rujuta Parekar

Graduate Studies Theses and Dissertations 2026

AI is constantly evolving and being rapidly integrated into the workplace. Limited research has examined how this integration is affecting employee outcomes, and particularly the impacts of whether employees are expected or mandated to use AI for their work. The present study utilized the challenge-hindrance framework to examine the effect of autonomy in using AI on task satisfaction through challenge and hindrance appraisal among working adults. Since the ability to understand and use AI can influence how individuals perceive it, the moderating effect of AI literacy on the hypothesized research model is also examined. A multi-wave research design was used …

Switching Things Up: Investigating The Costs Of Switching Between Tasks Of Varying Interdependence And Factors That Influence These Transitions, Taylor A. Wilhelmy

Graduate Studies Theses and Dissertations 2026

Though researchers have indicated that there is a high probability teams will transition between tasks of varying interdependence (Benishek & Lazzara, 2019; Mesmer-Magnus et al., 2016), there is a need to further examine this idea (Smith-Jentsch, 2015; Mesmer-Magnus et al., 2016) as few have actually studied it. Expanding upon Moon et al. (2004), this study examines the costs associated with transitioning between two tasks of varying levels of interdependence (i.e., pooled and team interdependence; Saavedra et al., 1993), how these costs vary depending on the order the tasks are engaged while examining how team cognition (i.e., transactive memory systems) and/or …

Strategic Signaling Or Structural Friction?: How Ai Disclosure Moderates Resource-Performance Dynamics In Hotels And Restaurants, Jaewan Heo

Graduate Studies Theses and Dissertations 2026

Artificial intelligence (AI) has become an increasingly important strategic issue in the hospitality industry. While prior research has primarily examined AI as an operational technology that improves efficiency and service delivery, less attention has been paid to how AI-related disclosures influence investor evaluations of firm resources. This dissertation investigates whether AI-related disclosures moderate the relationship between organizational resources and financial performance in publicly traded hospitality firms.

Drawing on signaling theory and the resource-based view, this study conceptualizes AI disclosures as strategic signals that shape investor perceptions of firm capabilities and future value creation. Firm-level financial data were obtained from Compustat …

Did They Think I Was Rude? The Emotional And Relational Consequences Of (In)Congruence Between Perpetrators’ Self- And Meta-Perceptions Of Workplace Rudeness, Nicholas C. Andriese

Graduate Studies Theses and Dissertations 2026

Workplace rudeness negatively impacts employees and costs organizations millions of dollars each year. Although much is known about the consequences of workplace rudeness, little is known about how perpetrators make sense of and respond to their (potentially) rude behavior. In this dissertation, I propose that perpetrators consider not only their self-perceptions of rudeness, or how rude they believe their actions were, but also their meta-perceptions of rudeness, or their beliefs about how rude another person perceived them to be. Because rudeness is subjective and people vary in their perceptual accuracy, self- and meta-perceptions of rudeness are unlikely to consistently …

Cultivating Workplace Happiness In Technology Workers, Cherie A. Herrin

Graduate Studies Theses and Dissertations 2026

Technology workers are central to the innovation and performance of modern organizations and retaining them is a persistent challenge for modern organizations. One important aspect of retention in many contexts is Workplace Happiness, which has been argued to improve worker performance and reduce turnover; however, there is little empirical evidence of the effectiveness of these interventions for technology workers. This dissertation develops a model in which two affective states, Workplace Happiness and Workplace Distress, mediate the relationships between six socio-technical work conditions and two behavioral outcomes: Turnover Intent and Work Execution (i.e., self-rated work performance and quality). A systematic literature …

Revisiting The Foundation Of Strategic Core Theory: Informal Roles And Teamwork Roles In Work Team Centrality, Allen Thomas Shorey

Graduate Studies Theses and Dissertations 2026

Strategic core theory makes a distinction between roles within a team that are central to the team’s workflow (i.e., core roles) and those that are not central (i.e., non-core roles) (Humphrey et al., 2009). This line of work has shown that attributes, such as job-related skill of core team members, were more predictive of team performance than those of non-core members. However, this line of work has primarily examined core and non-core roles as defined by formal taskwork roles. In this thesis, I examine patient care teams and management simulation teams with the principal conviction that (a) informal roles and …