Business Commons^™

Retention During Turbulent Times Of Higher Education: Modeling Intent To Leave Academia For Research University Faculty, Jordan Monroe Ball

Psychology Theses & Dissertations

University faculty operate as the lifeblood of any institution given that their job requires a “double duty” to develop both scholarly research and student minds. Due in large part to these expectations, research shows a long history of poor mental health for faculty, which ultimately results in faculty turnover. One model of faculty work motivation (Padilla et al., 2023) details the way in which the faculty work environment influences their mental health, and subsequently informs their job satisfaction, organizational commitment, and intent to leave academia, which serves as a proxy for turnover. Retention related issues have not been a pressing …

The Co-Development Of Espn+ And College Sports: A Case Study, Eric Bohannon

Communication & Theatre Arts Theses

In 2018 ESPN debuted its national streaming service ESPN+. This profoundly changed the way sports fans watch college sports as well as other professional sporting events. Prior to ESPN+, a limited number of college sports games appeared on linear channels such as ESPN, ESPN2 and ESPNU, and occasionally a few other channels. Since 2018, ESPN+ streamed thousands of events per year ranging from college soccer to college softball and everything in between, including the qualifying and early rounds of professional tennis and golf tournaments from around the country. This case study describes the impact of ESPN+ on a college conference, …

Exploring The Determinants Of User Discontinuance In Ai-Driven Usage-Based Insurance, Wenzhuo Li

Theses and Dissertations in Business Administration

While interest in algorithmic decision-making continues to grow, limited research has examined the post-adoption phase. This study examines how users evaluate their post-adoption experiences with algorithmic decision-making in the context of usage-based insurance (UBI), focusing on how expectation disconfirmation shapes satisfaction and the intention to discontinue use. It explores two key questions: What factors influence users’ discontinuance intention toward AI-based UBI systems? And how do specific algorithmic characteristics alter how users form these post-adoption evaluations? To investigate these questions, this study develops a comprehensive theoretical model that integrates the Expectation Confirmation Model and Reactance Theory, incorporating additional factors such as …

Two Essays On Designing Conversational Agents: Varying Level Of Mimicry And Personality–Brand Congruence, Sama Ashouri

Theses and Dissertations in Business Administration

Across two essays, this dissertation demonstrates that mimicry and personality shape consumers’ perceptions of chatbot intelligence, creativity, and fit, with downstream effects on recommendation acceptance that depend on factors such as mimicry intensity, brand familiarity.

Essay1: Mimicry, a central aspect of human interaction, is increasingly being examined in human–AI communication, particularly with chatbots. While prior research shows mimicry can build rapport, trust, and engagement, it has often been treated as a binary factor, overlooking how different levels may influence user perceptions. This research proposes and tests a dual-mediation framework in which different levels of chatbot mimicry affects recommendation acceptance through …

Structure Meets Context: A Simulation Study Of Centralized And Decentralized Decision-Making In Complex Environments, Murat Balci

Engineering Management & Systems Engineering Theses & Dissertations

The question of when to centralize or decentralize decision-making authority is a foundational problem in organizational theory and management science. Yet existing research often favors decentralized structures, frequently treating them as universally superior, and provides limited guidance on when centralization may be more effective. Leaning toward decentralization without thoroughly exploring options leaves organizational designers without clear direction under varying environmental conditions. This study addresses that gap by developing and applying a simulation-based framework to evaluate the context-dependent effectiveness of centralized and decentralized decision-making structures.

Drawing on contingency theory and decision science, the study conceptualizes environmental complexity along two dimensions: dynamism …

The Tragedy Of The Cognitive Commons: How Ai Could Disrupt The Regeneration Of Professional Expertise, Nolan C. Lovett

Educational Leadership & Workforce Development Faculty Publications

Artificial intelligence is reshaping cognitive work, but Human Resource Development scholarship has treated this transformation as an organizational training challenge, leaving the collective regeneration of professional expertise unexamined. This conceptual paper introduces the Cognitive Commons framework, integrating commons theory, HRD scholarship, and distributed cognition to explain how rational AI adoption decisions can deplete the shared expertise pool professions require for renewal. The framework distinguishes Internalized Mastery (deep domain knowledge from sustained practice) from Distributed Mastery (orchestrating human-AI systems), and develops the Validation Tether: effective AI oversight depends on the expertise AI adoption may undermine. Early labor market and clinical evidence …

Career Pathways Program Annual Report For Ay 2025/26, Wie Yusuf

Career Pathways

Career Pathways launched in August 2017 as the university-wide initiative to provide career and professional development to graduate students. It encompasses both the Preparing Future Faculty (PFF) and the Preparing Future Professionals (PFP) Certificates. The Preparing Future Faculty Certificate was established in 2007, while the Preparing Future Professionals Certificate was launched in 2017, concurrently with the introduction of Career Pathways. The Career Pathways program prepares graduate students for a successful transition into thriving careers. With the PFP Certificate, the emphasis has been on addressing the existing gap in career and professional development for master’s and doctoral students with career plans …

Extending The Job Demands-Resource Model In Classified Work Environments: A Longitudinal Analysis Of Job Demands, Resources, Job Satisfaction, And Retention Among Engineers, Gregory Gooden

Engineering Management & Systems Engineering Theses & Dissertations

The Job Demands–Resources (JD-R) model is a widely used framework for understanding how work conditions influence employee attitudes and retention-related outcomes. However, empirical evidence testing JD-R dynamics in classified technical work environments remains limited, particularly using longitudinal designs that account for structural constraints, nonrandom participation, and outcome-specific measurement challenges. Classified work is characterized by persistent demands, restricted flexibility, and security-driven limitations on available resources, raising questions about whether and how JD-R processes generalize to this context.

This study examines whether job demands and job resources predict subsequent job satisfaction and retention intent in a classified technical workforce using multi-wave longitudinal …

Does Short-Termism Pay? National Short-Termism, Investment, Innovation, And Equity Returns, Andrew H. Cohen

Theses and Dissertations in Business Administration

We examine whether national short-termism, inferred from corporate language, predicts future real activity, equity returns, risk, and risk-adjusted performance. Using large-scale textual analysis of issuer-linked disclosures and earnings transcripts from the largest firms in twenty major equity markets, we construct country-quarter and annual Short-Termism Scores (STS) capturing the relative emphasis on short- versus long-horizon language.

Higher short-termism predicts lower subsequent gross fixed capital formation, lower research and development intensity, and lower multi-year equity index returns across horizons of up to sixteen quarters. In addition, higher short-termism is associated with greater future market volatility and lower Sharpe ratios, indicating a deterioration …

The Effects Of Covid 19 Job Demands On Public Sector Employees’ Organizational Commitment: The Mediating Roles Of Work Engagement And Job Burnout, And The Moderating Role Of Supervisor Support, Benjamin R. Kaufman

Psychology Theses & Dissertations

United States citizens rely on state government employees to provide essential public services. During the COVID-19 pandemic, these employees responded by administering both routine and novel procedures to protect public health, often placing them on the frontlines and at increased risk of contagion. Concurrently, the pandemic-driven economic downturn created budget shortfalls that threatened the job and financial security of the state workforce. Together, these conditions substantially increased job demands for state government employees.

Guided by the Job Demands–Resources (JDR) Model, this study examined how COVID‑19-related job demands influenced state employees’ work engagement, job burnout, and organizational commitment, and whether supervisor …

A New Functional Setting For Term Structure Modeling Using The Health-Jarrow-Morton Framework, Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton Jr.

Mathematics & Statistics Faculty Publications

The well-known Heath–Jarrow–Morton (HJM) framework provides a universal and efficacious instrument for modeling the stochastic evolution of an entire yield curve by explaining the interest rate dynamics in continuous time under no-arbitrage conditions. Existing implementations involve exponentially weighted function spaces as theoretical settings for the former stochastic evolution. While the choice of weight can have a drastic effect on model calibration and subsequent forecasting, it cannot be estimated from market data and does not allow for any objective interpretation. The proposed approach does not have this shortcoming as it adopts a suitably designed unweighted function space. The HJM equation is …

Part Ii: Industrial Information Integration Review 2020-2025, Jinzhi Li

Information Technology & Decision Sciences Faculty Publications

Industrial Information Integration Engineering (IIIE) has become increasingly essential for improving operational efficiency and harmonizing heterogeneous industrial systems through advanced digital integration approaches. Fueled by rapid advancements in Industry 4.0 technologies—including digital twins, artificial intelligence, immersive interfaces, and IoT infrastructures—IIIE is substantially transforming traditional enterprise architecture and integration frameworks. This systematic review synthesizes recent developments and emerging trends, with particular attention to the accelerating adoption of digital twins and the deepening convergence between operational technologies (OT) and information technologies (IT) across multiple sectors. While notable progress has been made, significant challenges persist, especially in developing resilient integration architectures and fully …

Do Major Customers Affect Firms' Environmental, Social And Governance Activities?, Feng Dong, John A. Doukas, Stephanie Walton, Rongyao Gloria Zhang, Yiyang Zhang

Finance Faculty Publications

We examine the role of major customers in shaping firms' environmental, social and governance (ESG) practices. We find that firms with major customer relationships undertake fewer ESG activities compared to those without such ties. The association is attenuated when institutional ownership is high, firms are less diversified, customers exhibit greater bankruptcy risk and lower switching costs and during periods of elevated equity market sentiment. Taken together, our findings highlight that reliance on a concentrated customer base can weaken firms’ incentives to engage in ESG practices, with important implications for supply chain sustainability.

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

Finance Faculty Publications

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

International Evidence On The Relationship Between Financial Literacy And Corporate Cash Holdings, Kenneth Yung, Reza Kahibavil, Su Li, Arian Amidi

Finance Faculty Publications

This study is the first investigation of the relationship between corporate cash holdings and financial literacy (FL). We find that a one‐standard‐deviation increase in FL is associated with an 8%–27% reduction in corporate cash holdings, depending on the measure of FL used. Moreover, higher FL reduces the market value of excess cash, indicating that financially literate environments discourage value‐destroying cash accumulation. The results remain robust across alternative definitions of FL and cash holdings, estimation methods, and country subsamples. We further rule out the influence of endogeneity, refinancing risk, and variation in cash needs. Additional analyses identify agency costs as the …

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

Finance Faculty Publications

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

How Operational And Disclosure Complexity Shapes The Conglomerate Discount, Feng Dong, John A. Doukas, Son Wilson, Rongyao Zhang

Finance Faculty Publications

This study examines how firm operational diversification and disclosure complexity jointly drive the conglomerate discount. We disentangle disclosure complexity, which is determined by managerially influenced financial transparency, from accounting complexity, which is a direct informational consequence of operational complexity. We find that operational diversification is consistently associated with significant conglomerate discounts, while disclosure complexity independently reduces firm value and amplifies the magnitude of the discount when diversification is high. These findings suggest that transparent disclosures can mitigate valuation costs, offering important implications for managers seeking effective communication, investors assessing complex firms, and policymakers aiming to enhance disclosure quality and market …

China's Economic Retaliation Against Norway After Liu Xiaobo's 2010 Nobel Peace Prize, Ian Murphy, Shaomin Li

Management Faculty Publications

This case study analyzes China's geoeconomic retaliation against Norway after the 2010 Nobel Peace Prize was awarded to Liu Xiaobo. China employed non-tariff barriers, diplomatic freezes, and restricted exchanges, severely impacting sectors like salmon exports. This occurred despite the Nobel Committee's independence from the Norwegian government. Although Norway's overall economic impact was mitigated by market adjustments, the six-year diplomatic freeze significantly influenced its human rights foreign policy. This case exemplifies China's strategic use of informal economic tools to punish and deter, showcasing the link between political sensitivities and economic leverage in international relations.

When Price Varies Across Otas: How Room Rate Disparity Shapes Switching Behavior And Brand Trust, Ling Ling, Chich-Chien Chen, Zvi Schwartz

Human Movement Studies & Special Education Faculty Publications

This study investigates how room rate disparity across Online Travel Agencies (OTAs) influences consumers’ switching behavior and perceptions of hotel brand integrity. Employing a scenario-based experimental design with a sample of 430 Chinese consumers, we explored price differences interact with loyalty status, price trajectory information, and brand consistency. Our findings reveal a complex non-linear inverse sigmoid relationship between rate disparity and channel switching. Contrary to expectations, loyalty membership did not reduce switching intent or increase discount thresholds. Moreover, rate disparity triggered brand integrity concerns, with brand doubt consistently exceeding switching intent. While price trajectory information did not change switching likelihood, …

Bridging Mission And Execution: Integrating Participatory Design In Early-Phase Mission Engineering For Stakeholder Alignment And Mission Clarity, Rafi Soule

Knowledge and Creativity Expo

This research examines mission framing during the early phase of Mission Engineering. Stakeholder interpretations diverge under ambiguity. Interoperability constraints are often not surfaced early. These conditions reduce mission clarity and weaken mission-to-system mapping readiness. The study integrates a participatory design-inspired, artifact-first workflow with RAG-enabled retrieval from a closed corpus to support evidence-grounded reasoning and traceable citations.

Phase 1 uses an online survey to establish baseline patterns in practice (N = 86). Shared understanding is positively associated with mission clarity (r = 0.60, p < 0.001). Phase 2 uses a time-bounded comparative workshop with two conditions. Expert reviewers rate mission statement quality higher for the participatory design condition (mean 3.5) than the traditional condition (mean 2.8). Technical feasibility ratings are similar across conditions. Phase 3 demonstrates RAG-enabled, closed-corpus, retrieval-supported traceability using the Referencer tool. It is reported as a proof-of-concept for evidence-grounded rationale and auditability, and as a pathway …

Shaping The Future: Emerging Technologies And Their Role In Industry 4.0 And Beyond, Liuliu Qin

Information Technology & Decision Sciences Faculty Publications

This paper provides a comprehensive review of emerging technologies driving the transition from Industry 4.0 to Industry 5.0. It examines the foundational concepts and pillars of Industry 4.0 and explores the transformative roles of Artificial Intelligence (AI), Extended Reality (XR), Collaborative Cobots (Cobots), Brain–Computer Interfaces (BCIs), quantum technologies, and next-generation connectivity (5G/6G). By integrating technological, human-centric, and sustainability perspectives, the study outlines how these emerging technologies reshape industrial systems and enable intelligent, adaptive, and inclusive futures.

Should More Teams "Trust The Process" Of Tanking?, Eduardo G. Minuci, Alexander Cardazzi, Candon Johnson

Economics Faculty Publications

In many professional sport leagues, the worst-performing teams receive higher probability of earning top draft picks. This provides teams incentives to purposefully lose, or "tank," if they are not likely to contend for the playoffs or championships. We evaluate the effectiveness of tanking to improve team outcomes by examining the most explicit tanking case in the NBA: the "Trust the Process" Philadelphia 76ers. Using synthetic control, we demonstrate that tanking caused the 76ers to be more successful in terms of winning and operating income. However, only operating income had a plausibly positive present value when calculating discounted present values.

Lost In Instructions: Study Of Blind Users' Experiences With Diy Manuals And Ai-Rewritten Instructions For Assembly, Operation, And Troubleshooting Of Tangible Products, Monalika Padma Reddy, Aruna Balasubramanian, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

AI tools like ChatGPT and Be-My-AI are increasingly being used by blind individuals. Although prior work has explored their use in some Do-It-Yourself (DIY) tasks by blind individuals, little is known about how they use these tools and the available product-manual resources to assemble, operate, and troubleshoot physical/tangible products – tasks requiring spatial reasoning, structural understanding, and precise execution. We address this knowledge gap via an interview study and a usability study with blind participants, investigating how they leverage AI tools and product manuals for DIY tasks with physical products. Findings show that manuals are essential resources, but product-manual instructions …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Sociocultural Outsidership In Entrepreneurship: Rethinking The Double-Edged Role In Marginalisation, Robert J. Pidduck, Susana C. Santos, Eric W. Liguori, Reginald Tucker, Alexander Newman

Management Faculty Publications

This editorial introduces the special issue on marginalisation and entrepreneurship. While entrepreneurship research has long examined the impact of economic deprivation and structural barriers, far less attention has been given to sociocultural elements of outsidership – such as status incongruence, class-based identity conflict or cultural misalignment, among other related facets. We bring these dynamics to the fore, offering a conceptually rich yet ideologically neutral lens through which to understand how outsider dynamics can shape entrepreneurial cognition, legitimacy and venture development. Further, by synthesising emerging work across fragmented literatures, we propose a research agenda that explores sociocultural outsidership not only as …

Unlocking Organizational Support Through Psychological Empowerment: Identification And Test Of Transformational Leadership As A Catalyst Of Perceived Organizational Support, Ryan L. Klinger, Nathapon Siangchokyoo, Tipat Sottiwan

Management Faculty Publications

Organizational support theory (OST) explains how employees develop and respond to beliefs about their organization, with perceived organizational support (POS) representing a central construct within this framework. Integrating psychological empowerment theory, we examine an intrinsic motivational pathway through which POS relates to employee in-role performance and identify transformational leadership as a contextual catalyst that may strengthen this process. We test a multilevel moderated mediation model using multisource and multi-time data from 217 employees and 41 supervisors. Results indicate that POS is positively related to in-role performance through the psychological empowerment dimensions of competence and self-determination. Moreover, transformational leadership strengthens the …

Beyond Price: How Platform Power Shapes Demand Allocation In Online Hotel Channels, Ling Ling, Timothy Webb, Zvi Schwartz

Human Movement Studies & Special Education Faculty Publications

Rate disparity remains a widely used but poorly understood pricing strategy in the hotel industry. While previous research generally assumes that lower prices shift demand toward less expensive channels, this study investigates whether such effects occur in practice. Using high-frequency booking and pricing data from five full-service hotels across multiple online travel agencies (OTAs), we analyze how rate disparity relates to the distribution of demand across channels. The findings show that the impact of price differences is limited, highly non-linear, and strongly dependent on contextual factors. Channel market power and hotel-specific characteristics seem to play a more significant role than …

Causal Effect Estimates Of Online E-Cigarette Marketing Exposure On Future E-Cigarette Harm Perception And Use, Paul T. Harrell, Nicholas T. Williams, Kara E. Rudolph, Rachel Ayala Guzman, Ateeqa Ijaz, Nicole Rychagov, Aaron Null, Silvia S. Martins

Department of Pediatrics Faculty Publications

Background

Globally, over 10 million youth use e-cigarettes; United States use, in particular, dramatically rose in the late 2010's, exceeding year-over-year increases from any other substance in over four decades. This rise has been partially attributed to youth online e-cigarette marketing exposure, but has not been appropriately studied.

Methods

We examined youth data from the Population Assessment of Tobacco and Health (PATH) spanning the dramatic increase period (Waves 4, 4.5, and 5; 2016-2019). We estimated average risk differences (RD) for Wave 5 e-cigarette harmfulness perception and use comparing all youth versus no youth reporting past-month online e-cigarette marketing exposure in …

Stringency Of Family Firms And Owner-Managers In The Transition To Low-Carbon Emissions, Morten Bennedsen, John Doukas, Halit Gonenc

Finance Faculty Publications

This study examines the relationship between carbon emissions and stock returns, with a focus on the role of family ownership and management. Using a sample of 435 publicly listed firms from 14 Western European countries over the period 2010–2020, we explore whether financial markets perceive family-controlled firms, particularly those led by family-member CEOs, differently in terms of their commitment to sustainable practices. Consistent with prior research, our results indicate that firms with higher emissions earn higher stock returns while simultaneously experiencing lower market valuations, consistent with the presence of a carbon risk premium driven by elevated carbon transition risk. Crucially, …

Does Bidder Complexity Affect Market Reactions To M&A Decisions?, Rajib Chowdhury, John A. Doukas

Finance Faculty Publications

We examine whether and how bidder complexity influences investor reactions to merger and acquisition (M&A) announcements. Using an established measure of complexity, we find a significant positive relationship between acquiring firm complexity and cumulative abnormal returns (CAR). This suggests that investors perceive more complex firms as capable and value-enhancing participants in M&A activities. The association is particularly strong for bidders with high operating risk, greater R&D intensity, and larger firm size. We also find that complex bidders tend to offer higher takeover premiums. Overall, our study contributes to the literature by demonstrating that bidder complexity is an important determinant of …