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Does Contingent Reward Leadership Enhance Or Diminish Team Creativity? It Depends On Leader (Un-) Predictability, Debjani Ghosh, Martin Buss, Amita Shivhare

Management Faculty Publications

Although prior research has shown that reward provision might sometimes increase creativity, little is known about how leadership that clarifies effort-reward contingencies (i.e., contingent reward leadership) is related to team creativity. Drawing on the theory of learned industriousness, we argue that contingent reward leadership can enhance team knowledge exchange and, in turn, team creative performance. However, we propose that this relationship is moderated by leader unpredictability, which can create uncertainty about resource allocation, thereby undermining the otherwise positive effect of contingent reward leadership. In a two-source, lagged design (three-wave) field study with data from 60 organizational teams, we found a …

Robo-Advisers And Investor Behavior, Benjamin Loos, Pengfei Ma, Alessandro Previtero, Andres Hackethal

Sim Kee Boon Institute for Financial Economics

Using data from a large German retail bank, we investigate the effects of the introduction of a robo-advisory tool on clients’ portfolios. Robo clients experience a significant increase in financial risk-taking and improve portfolio efficiency along several dimensions (more diversification, less home bias, more investment in passive funds, reduced investment fees). Our evidence is consistent with robo-advisers being a more cost-effective approach for offering financial advice, especially to less sophisticated investors.

Meta-Analytic Investigations Of Team Development Interventions And Effectiveness, Sydney Begerowski

All Dissertations

Team development interventions (TDIs) are evidenced-based best practices that improve performance trajectories of teams. To date, various independent studies have demonstrated the effectiveness of one type of TDI in improving effectiveness, but there has yet to be a cross-intervention assessment. Accordingly, the goal of this dissertation was to explore a subset of TDIs (team charters, team training, team debriefing) from a comparative lens. First, I conducted a series of pairwise meta-analyses across team charters, team training, and team debriefing to establish a TDI-effectiveness relationship. Findings were inconclusive regarding team charters, but suggested that team training and team debriefing significantly improve …

A Reinforcement Learning Framework For Powertrain Control Including Shared Learning Among A Fleet Of Vehicles, Lindsey Kerbel

All Dissertations

The transportation sector provides a significant opportunity to reduce global emissions, both through technological advancements and vehicular control strategies. Model-based control systems are popular methods for increasing the operating efficiency of vehicles. However, these systems often rely on models that require costly calibrations that still fail to capture the complexity of modern powertrain systems and the variations found in real-world driving. The recent availability of operational data through connected vehicle technology and/or edge devices has led to the emergence of data-driven control strategies that can learn optimal control policies through the interactions of the vehicle’s control system with the environment. …

An In Vitro Investigation Of Urothelial Cell Function In Response To Hypoxia And Pressure In Relation To Bladder Outlet Obstruction, Britney Hudson

All Dissertations

Bladder outlet obstruction (BOO) is a prevalent urological condition and can be characterized by the presence of lower urinary tract symptoms (LUTS), such as hesitancy, weak stream, and nocturia. The main cause of BOO is a partial blockage of the urethra, which results in elevated voiding pressure, high storage pressure, and tissue ischemia, which are thought to be the triggers of bladder inflammation and subsequent fibrosis. Often patients do not seek treatment until the conditions get severe. Thus, it would be ideal to have an early diagnostic tool to detect changes in the bladder due to BOO. Extracellular vesicles (EVs) …

Convergence Estimate Of Minimal Residual Methods And Random Sketching Of Krylov Subspace Methods, Peter Westerbaan

All Dissertations

This study concerns two main issues in numerical linear algebra: convergence estimate of minimal residual methods based on explicit construction of approximate min-max polynomials for in- definite matrices, and development and analysis of Krylov subspace methods using non-orthonormal basis vectors based on random sketching. For a matrix A with spectrum Λ(A), it is well known that the min-max polynomial problem min max |pk (z)| pk ∈Pk, pk (0)=1, z∈Λ(A) is used to bound the relative error of Krylov subspace minimum residual methods or similar methods. For a symmetric positive definite matrix A, the min-max polynomial for the Conjugate Gradient (CG) …

Locally Injectable Peptide Hydrogel For Conversion Of Temozolomide And Codelivery Of Sirna In Glioblastoma Multiforme Treatment, Megan Pitz

All Dissertations

Traditional treatment methods for glioblastoma multiforme (GBM) are largely unsuccessful, with a 5-year survival rate of 5.6%. Temozolomide (TMZ), the only chemotherapy FDA-approved for GBM treatment, is a hydrophobic prodrug that is stable in an acidic pH and begins converting to its active form at a physiological pH of 7.4. However, complete conversion of TMZ is observed only at a higher pH, and only about 30% of administered TMZ reaches the central nervous system. Therefore, there is a need for new treatment methods that maximize TMZ delivery to and efficacy at the tumor site. Self-assembling peptides are a unique class …

Optical Wavelength Measurement Based On Microwave-Photonics And Fiber Dispersion, Yongji Wu

All Dissertations

In modern photonics, combining microwave techniques with optical measurements has introduced a novel research direction. This study introduces a novel Microwave Photonics Wavelength Measurement System (MP-WMS), integrating microwave photonics with fiber chromatic dispersion to achieve direct wavelength measurement. Utilizing cost effective single mode optical fibers as dispersion devices, this system employs chromatic dispersion to convert optical frequency domain measurements into microwave time domain measurements. We established a mathematical model to describe how different wavelengths are detected, enhancing the system's effectiveness. The MP-WMS system offers an affordable solution with high resolution. In the experiment, we used a 35km long SM-28 single-mode …

Phylogenetics And Biogeography Of Appalachian Trechus (Coleoptera: Carabidae), Patricia Wooden

All Dissertations

Insects have long been used as tools for understanding the health of the natural world and how changes to climate, landscape, and human interaction have affected the communities those environments support. The Appalachian Mountains, located in eastern North America, is the oldest mountain range on the continent, and during its lifespan it has supported an abundance of microhabitats and endemic species to fill them. Conservationists must balance the need to preserve the diversity that is known and continue to explore the region for new taxa, often with limited budget and expertise. A genus of small carabids, Trechus Clairville, may aid …

Reinforcement Learning-Based Energy Management For Electric Vehicle Application, Yiming Ye

All Dissertations

The increasing concerns about transportation pollution and fossil fuel depletion motivate many studies on vehicle electrification and advanced energy-saving propulsion systems. When Comparing with traditional internal combustion engine vehicles, electrified vehicles, such as battery and supercapacitor electric vehicles, are equipped with more than one power source in the hybrid propulsion system, which can save more energy through efficient power combinations. Lithium-ion batteries are the preferred choice for energy storage in electric vehicles due to their superior energy density and cost-effectiveness. Nevertheless, matching the required power input and output leads to in an unwanted growth in the size of the battery, …

A Mixed Methods Study Of South Carolina Reading Policy On Teacher Knowledge, Matthew Ferguson

All Dissertations

This sequential explanatory mixed methods study examines the impact of the Language Essentials for Teachers of Reading and Spelling (LETRS) professional learning intervention on teacher knowledge within the context of South Carolina's reading policy.

Quantitative analyses of pre- and post-assessment data indicate significant improvements in teacher content knowledge of foundational literacy skills following LETRS training. Descriptive statistics and paired-samples t-tests demonstrate substantial gains in knowledge, particularly in Volume 1 of the LETRS curriculum. The study reveals notable increases in pre- and post-assessment scores, suggesting the effectiveness of LETRS in enhancing teacher expertise.

Qualitative findings from focus groups highlight the positive …

Single Cell Pharmacodynamic Modeling Of Cancer Cell Lines, Arnab Mutsuddy

All Dissertations

Cancer is one of the leading causes of disease related death worldwide. Since the discovery of the genomic origins of cancer, targeted therapy has been developed towards specific mutations implicated for oncogenic transformation. However, current standard-of-care for mapping cancer patients to efficacious drug combination is often inadequate. The pathophysiology of tumor progression relies on the dysregulation of biomolecular pathways of which the topology and the dynamics challenge prognosis. Moreover, the overall genomic instability involved in disease states and the resulting inter-patient as well as intra-tumoral heterogeneity challenge rationalization of therapy and clinical decision-making. It highlights the need for the use …

Sulfonated Ionomer Composite Membranes For Use In Vanadium Redox Flow Batteries, Xueting Wang

All Dissertations

While vanadium redox flow batteries (VRFBs) have garnered significant attention as a promising scalable energy storage technology, the current membrane material used in this technology, Nafion™, suffers from high cross mixing of vanadium ions in the liquid electrolytes, directly impacting battery performance properties such as the voltage and coulombic efficiencies, as well as resulting in a reduction in the overall battery lifetime. The use of ionomer nancomposites has proven to be one promising route of directly addressing the issue of high ion crossover, though the mechanism by which the nanoparticles act to reduce crossover remains in open question. Herein, the …

What Do You Want To Be When You Grow Up? An Explanatory Sequential Mixed Methods Study Examining What Influential Factors Guide Rural Middle School Students To Consider A Potential Career Trajectory, Heather Wilks

All Dissertations

This explanatory sequential mixed methods study examines what influences 7th and 8th grade rural middle school students to consider a potential career trajectory. Phase One of the study includes a demographic and career cluster interest survey of 38 participants. Phase Two of the study focused on 23 of the 38 Phase One participants, who were chosen using random sampling. The Phase Two participants were interviewed using a semi-structured approach. They were asked to discuss their career cluster results from Phase One, how they used their surrounding factors and knowledge to conclude, and if they agreed with their results. Findings indicated …

Developing Machine Learning Agency Among Youth: Characterizing Youth Critical Use, Examination, And Production Of Machine Learning Applications, Ibrahim Oluwajoba Adisa

All Dissertations

This study explores how middle school-aged youths at an afterschool center utilized, examined, and produced AI applications for social good with the support of adults and peers. The study employs a qualitative single case study design. It uses thematic analysis and quantitative ethnography methods to analyze data from multiple sources, including field notes, interviews, focus groups, story completions, video recordings, and artifacts. Findings indicated that engaging youths in critical exploration of AI tools enhanced their ability to design interest-based AI applications that provide solutions for healthcare problems, security, and accessibility. Moreover, the computational thinking practices that youth engaged in increased …

Going, Going, Gone: The Influence Of Job And Home Demands And Resources On Emergency Department Nurse Turnover, Jordan Gail Smith

All Dissertations

Nurse turnover, which challenged healthcare organizations even before the pandemic, reached alarming rates across hospitals worldwide during COVID-19. Due to the unprecedented and stressful nature of the pandemic, recent investigations have focused primarily on exploring job demands and nurse turnover intentions. While job demands are critical to understanding turnover, this narrow scope ignores the possible influence of other factors such as job resources and demands and resources external to the work domain. This study utilized archival qualitative data from a longitudinal survey of Emergency Department clinicians to analyze research questions and hypotheses. The first aim of this study was to …

Study Of Electrospun Nanocomposite Nanofiber Nonwoven Mats With Precursor Solutions Prepared By Ultrasonic Processing, Stephanie Tussey

All Dissertations

Understanding the complexity of changes in a polymer solution through the addition of nanoparticles and the process used to prepare the solutions is vitally important to obtain desirable characteristics of electrospun nanofibers such as degree of crystallinity, morphological, thermal and mechanical properties. Although there have been significant efforts in this research area, a more in-depth understanding on how nanoparticles can affect the formation of polymeric structures during electrospinning is still needed to ensure overall quality and performance of the nonwoven material. The present study aimed to specifically explore the relationship between solution processing method, nanoparticle volume fraction, and solution properties …

Investigating Bimanual Haptic Exploration With Arm-Support Exoskeletons, Balagopal Raveendranath

All Dissertations

The ability to judge properties like weight and length of hand-held objects is essential in industrial work. Sometimes workers use devices like exoskeletons, which can augment their ability to lift and move heavy objects. Previous studies have investigated the perceptual information available for one-handed weight and length judgments. The current study investigated how blindfolded participants bimanually heft and wield objects to explore haptic information, to perceive object heaviness or length. The study also investigated the effects of using an arm-support exoskeleton (ASE) on the perceived weight of hand-held objects. We empirically tested whether people wield and manipulate objects differently, depending …

Ecology And Integrated Pest Management Of Major Insect Pests Of Field Corn, Tim Bryant

All Dissertations

In the southeastern United States, the brown stink bug, Euschistus servus (Say), and the southern green stink bug, Nezara viridula (L.) (Hemiptera: Pentatomidae), are common economic pests of corn, Zea mays L. (Poaceae: Poales). Although commonly found, the corn earworm, Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), is generally not an economic pest and is managed with transgenic corn hybrids expressing toxins produced by the Bacillus thuringiensis (Bt). Resistance to Bt toxins is a major thread to the sustainability of Bt crops. Understanding the ecology of stink bugs and corn earworms in field corn can help to effectively implement integrated pest management …

Toxicokinetics And Toxicodynamics Of Radium-226 In An Estuarine Sentinel Species Geukensia Demissa, Sarah Donaher

All Dissertations

The historical use of radioluminescent objects, most notably those containing radium-226 (²²⁶Ra)-based paint, has contributed to contemporary environmental contamination of radioactive material, often near naval installations or other military-associated coastal sites. The risk to both human and environmental health from this small-scale, discrete radioactive material is challenging to predict due to large uncertainties in the source terms, bioavailability, and toxicity of these objects. The objective of this study was to provide information on the accumulation and toxicity of acute ²²⁶Ra exposure in a sentinel species to improve risk assessments for small-scale, coastal radiological contamination. The sentinel species …

Examining Context Dependency Of Invasion Hypotheses At The Continental Scale Using Riverine Fish Communities, Lily Thompson

All Dissertations

Many well-supported hypotheses seek to explain invasion dynamics, but evidence for common patterns among regions and taxa remains inconclusive and often contradictory. Invasion ecology is fundamentally linked to spatial scale, and discrepancies in results among invasion studies may be attributed, in part, to a failure to fully consider scale dependency. In this dissertation, I investigate the sources of inconsistencies across spatial scales and large geographic extents using riverine fish communities across the conterminous United States. To do so, I tested three main ideas. First, that cross-scale interactions contextualize estimated invasion mechanisms among regions. My results demonstrate that local empirical support …

Examining Policy Diffusion Mechanisms In The Contemporary Local Government Landscape Of A Politically Polarized United States, Jacob Mccauley

All Dissertations

This dissertation explores the nuanced relationship between political polarization and policy diffusion within local governments in the United States, a topic of considerable relevance given the country’s increasing political divide. By examining the diffusion of COVID-19 policies, historical marker modifications, and the implementation of eGovernment services, this research identifies a novel mechanism of policy diffusion that is significantly influenced by political party lines. The study employs a comprehensive methodological approach, incorporating case studies and quantitative analysis to examine policy implementation across politically diverse local governments. The findings reveal that political affiliation profoundly impacts policy choices, with distinct patterns of policy …

A Rhetorical-Sociological Understanding Of Emotion, Amy Boone

All Dissertations

This project presents a rhetorical-sociological understanding of emotion while foregrounding the place and role of language. Born from Sara Ahmed’s work in The Cultural Politics of Emotion, it presents a simplified equation (contact + orientation = emotion) as both a prescriptive and descriptive formula for making sense of human emotional experience. Starting with an exploration of the difficult-to-understand affect system, this dissertation identifies both rhetoric and affect as energies which cannot be understood apart from their traces, the things they move, produce, and become. As a way to get at these often-invisible forces, two trace studies are conducted which explore …

To The Torus And Beyond: An X-Ray Study Of Agn Tori Morphology, Andrealuna Pizzetti

All Dissertations

Active Galactic Nuclei (AGN) are among the Universe's most energetic and powerful objects, fueled by an accreting supermassive black hole (SMBH) at the host galaxy's center, surrounded by a toroidal structure of dusty gas. Ultraviolet photons arising from the accretion disk get up-scattered to X-rays via inverse Compton scattering by hot electrons close to the accretion disk. Being produced in the very center of the AGN, X-ray photons are powerful messengers that probe the physics of the accretion system and the matter in the surroundings. The torus, formerly considered homogeneous, appears to be a more complex structure of clouds with …

Additive Manufacturing With Bioresorbable Polymers: Process-Structure-Property Relationships For Biomimetic Tissue Scaffolds, Clayton Joseph Culbreath

All Dissertations

Tissue engineering has a base requirement of scaffold structures to support cell growth, proliferation, and regeneration. However, attempts to use artificial scaffold structures have often fallen short of clinical needs to justify the change away from the established, biologic-based current standard of care. Based on the limited number of successful tissue scaffolds produced by material extrusion modes of additive manufacturing, fused filament 3d printing and electrospinning, critical design specifications for a tissue scaffold are six minimum requirements: 1) biocompatibility, 2) porosity, 3) mechanical properties, 4) bioresorbable medical grade materials, 5) bioactivity, and 6) appropriately scaled production methods compliant with medical …

Exploring Novel Nutrient Acquisition Mechanisms For Maintaining Energy Metabolism In Toxoplasma Gondii, Melanie Key

All Dissertations

Toxoplasma gondii is an infectious intracellular parasite that establishes infection within various mammalian hosts, including humans. Toxoplasma infects approximately one-third of the global population, making it an impactful pathogen of study. T. gondii is the causative agent of toxoplasmosis, an opportunistic infection that causes severe illness or fatality in immunocompromised individuals or pregnant women. The parasite possesses a very effective invasion strategy, allowing it to cross different tissue types to disseminate infection across the placental and blood-brain barrier. Although there are a few treatments for acute toxoplasmosis, these drugs can produce adverse side effects. These options are not effective against …

Machine Learning Assisted Discovery Of High-Performance Perovskites For Hydrogen Production, Ximei Zhai

All Dissertations

Hydrogen has significantly contributed to the global energy transition as a clean energy carrier. However, traditional hydrogen production involves energy-intensive processes with heavy carbon emissions. High-temperature water splitting to generate hydrogen has become a promising route for clean hydrogen production. Directly utilizing concentrated solar heat to perform solar thermochemical hydrogen (STCH) production is considered one of the most eco-friendly hydrogen production options. At the same time, high-temperature electrolysis in protonic ceramic electrolysis cells (PCECs) can efficiently utilize intermittent and cost-effective renewable electricity to produce hydrogen. Perovskite oxides with good redox capability and tolerance for oxygen deficiency are considered the most …

Can I Get A Witness? Employee Reactions To Witnessing Visible Self-Compassion At Work, Sara Krivacek

All Dissertations

Self-compassion is defined as a tripartite process whereby an individual notices their own suffering, feels empathetic concern for oneself, and responds to alleviate or address the suffering. Research on self-compassion has proliferated in the last decade, and a major theme in the literature posits that it is beneficial for the practicing individual. However, less attention is given to the impact of self-compassion expression on other individuals in the workplace – partly because one major assumption is that self-compassion is an internalized process. In this dissertation, I conceptualize self-compassion as a social process and draw from affective events theory to make …

Multi-Scale Modeling Of Selective Laser Sintering: From Manufacturing Process And Microstructure To Mechanical Performance In Semi-Crystalline Thermoplastics, Cameron Zadeh

All Dissertations

Selective laser sintering is an additive manufacturing process that opens many design possibilities but is limited in its reliability and reproducibility. Numerical simulations validated by experimental data yield insights into the process and resulting part properties, allowing users to make more informed decisions. In this dissertation, a model for the process and microstructure is developed and validated, followed by a coupling to mechanical models to predict part performance. Further developments include a new addition of a reaction kinetics model to the process model to describe the interplay between thermal degradation and melt pool properties, and an exploration of the parameter …

An Exploration Of The Efficacy Of Virtual Agents Within Smartphone Mental Health Applications, Stephanie Six

All Dissertations

The prevalence of depression in the U.S. has increased over the past decade, leading to an all-time-high during the COVID-19 pandemic (WHO, 2022). With this increase, the number of mental health applications (MHealth apps) on virtual e-stores increases in tandem. Despite this expanding number of MHealth apps, few demonstrate a foundation in empirical research. One design factor that may influence usability and effectiveness is the inclusion of virtual agents. Three studies were conducted to investigate users’ preferences for a variety of characteristics associated with virtual agents. In Experiment 1, users completed a single-session, three-stage CBT-based interaction with virtual characters and …