Digital Commons Network^™

The Dynamic Effects Of Transformational Leadership On Employee Retention And Employability Over Time: An Agent-Based Model, Sophia R. Thomas, S. R. Aurora

Management Faculty Publications

Employee retention is a problem for organizations of all sizes. Research has shown that transformational leaders improve retention and reduce turnover; however, there has been little research on the effects of transformational leadership on retention over time while also considering employees’ changing employability. We use agent-based modeling to demonstrate these changing relationships while considering the nature of modern organizations. Our model looks at the relationships between transformational leaders, individual employability, and retention. The model uses data from earlier research to define parameters for these variables, showing how workers and leaders interact and affect employability and retention and how these effects …

Senior’S Code Of Conduct For The Telecommunications Industry, Cameron Schilling

Creativity and Change Leadership Graduate Student Master's Projects

The purpose of this project is to investigate the needs of an aging population (65+) in relation to their adoption and use of telecommunications services and to use ChatGPT, Foursight CPS Model, and Design Thinking to create a working Senior’s Code of Conduct (SCoC). Through consultation with ageing users of telecommunications, their families, and the corporate team with which I work, the evidence of the vulnerability and often abuse of this segment validated the need for this project. Through the process of developing a SCoC and leveraging Design Thinking with the support of ChatGPT, I refreshed my CPS skills, embarked …

21st Century Community Learning Centers: Program Evaluation Evidence From Texas, Rosilyn Jackson

Electronic Theses and Dissertations

Texas afterschool programs strive to enhance academic performance and meet students' needs, yet gaps in program quality persist. This study evaluated 21st Century Community Learning Centers’ performance in reading, math, GPA, attendance, in-school suspension, and engagement, both within these categories and against program goals and demographics. Theoretical frameworks used in this study include the logic model, social justice theory, and cultural relevance theory. This quantitative study utilized a nonexperimental and secondary data research design which utilized five statistical tests: the Pearson Product-Moment Correlation, One-Way repeated ANOVA, Spearman Correlation, the Independent Samples t-Test, and the Mann-Whitney U Test. Results showed that …

Securing Mobile Payments: The Impact Of Blockchain Technology On Transaction Integrity, Snehal Chaudhari

Electronic Theses, Projects, and Dissertations

This study investigates how blockchain, tokenization, and smart contracts improve security and transparency in mobile payment systems, addressing critical vulnerabilities in the increasing mobile payments industry. The main research questions are: (RO1) How can integrating blockchain technology improve the transparency and security of mobile payments? (RO2) Why do tokenization and smart contracts play a crucial role in improving security for mobile payments?

Case study outcomes include: (RO1) Shido Wallet's decentralized blockchain provides more control and transparency over their financial transactions, overcoming traditional security and trust concerns. Project Khokha illustrates blockchain's scalability and efficiency by allowing for high-speed, confidential interbank transactions. …

An Analysis Of Security Risks Posed By Text-Based Generative Ai And Corporate Security Weaknesses Leading To Data Leaks, Tashya Rakshana Byreddy

Electronic Theses, Projects, and Dissertations

ABSTRACT

Generative AI (GenAI) has become a fundamental part of modern life, influencing how we work, learn, and interact with technology. This project focuses specifically on text-based GenAI, which is widely used for tasks such as information gathering, code improvement, and content creation. Despite its benefits, it presents significant security risks that are often underestimated by users. This project investigates these risks and the corporate security gaps that lead to unintentional data leaks. The project also provides a brief overview of Large Language Models (LLMs), which are based on the deep learning technique known as Transformer architecture, used for performing …

Suspicious Activity Recognition Using Computer Vision, Chaitanya Krishna Karanam

Electronic Theses, Projects, and Dissertations

This culminating experience project explored innovative methods for enhancing anomaly detection in video surveillance systems, a vital concern for public safety and security management. The research questions addressed were: Q1) What emergent approaches in Activity-based Human Action Recognition (AbHAR) lead to significant advancements in surveillance technology driven by human cognition? Q2) How can the processing and detection phases of video monitoring systems be optimized for improved efficiency? Q3) What are the advantages of ensemble approaches over individual algorithms in enhancing the robustness and accuracy of anomaly detection systems in video surveillance?

The findings were: (Q1), That deep learning methodologies, particularly …

Mitigating Credit Card Fraud In European Countries, Gurninder Singh

Electronic Theses, Projects, and Dissertations

The detection of credit card fraud is essential to lower monetary losses and boost consumer trust in financial institutions. The effectiveness of two machine learning models, the Hidden Markov Model (HMM) and Logistic Regression, in identifying credit card fraud was examined in this study. Data was gathered from a large dataset of transaction records to analyze each model's projected accuracy, precision, and recall. The research questions addressed are: (Q1) In terms of recognizing credit card fraud, how do artificial neural networks and decision trees perform differently? (Q2) What are the comparative accuracy levels of Markov versus Logistic Regression when it …

Political Embeddedness And Organizational Resilience: Empirical Investigation And Theorisation Of Institutional Translation Mechanisms In Chinese Private Enterprises, Shuai Shao

Dissertations and Theses Collection (Open Access)

China is governed by the Communist Party of China (CPC), which embodies the nation's core values, mission, and ideological framework. The CPC organization embeddedness represents a distinctive governance arrangement, reflecting the state's Political Integration Imperatives. In the context of significant external shocks such as Covid-19, how does this political embeddedness influence private enterprises' organizational resilience - specifically their capacity to withstand disruptions and their ability to recover? What are the underlying mechanisms driving these effects?

This study employs a mixed-methods approach to investigate how CPC organization embeddedness shapes organizational resilience within China's unique institutional context, and the mechanisms through which …

J Mich Dent Assoc December 2024

The Journal of the Michigan Dental Association

Each month, The Journal of the Michigan Dental Association provides news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It stands as the primary publication reaching Michigan dentists.

The December issue includes a timely cover feature on evidence supporting community water fluoridation, a clinical feature answering questions on patient dental records, a guest editorial on leadership by former MDA Journal Editor Dr. Bill Chase, and a Back Page article on how a personal touch makes a difference. We also provide our annual 2024 Author/Title Index and regular departments: The New Professional, …

The Practical Adoption And Application Of Blockchain Technology Within The Beverage Industry, Alexander Adams Jr

Electronic Theses, Projects, and Dissertations

Abstract

The beverage industry is facing heightened scrutiny as the demand for transparency and accountability reaches new heights. In the age of information technology, companies must prioritize enhanced traceability to ensure product safety, comply with government regulations, maintain customer trust, and protect brand integrity. This thesis explores the potential of blockchain technology as a solution to these challenges, focusing on its ability to decentralize data, improve traceability, and expedite response times during safety recalls. The research provides an overview of the evolution of food safety regulations, beginning with the first establishment by Upland Sinclair, and examines current traceability practices and …

Estimating The Effect Of Residential Sales Prices On Building Permits, Emilio Becerra

All Theses

This paper addresses home sales prices’ impact on residential building permit authorization in South Carolina’s Greenville and Richland counties amid the COVID-19 pandemic. The estimation uses a comprehensive data set of the housing markets in both counties for 2016 to 2022, incorporating 88,098 home sales. The analysis exploits the variation in sales prices of homes to analyze the sensitivity in the supply of permits to builders through an instrumental variables approach. Using two instruments, violent crimes and household income, the effect of sales prices on the supply of building permits is positive and statistically significant. Included in the first-stage regression …

Using Ai Tools To Unmask Sarcasm, Sidra Tehniyath Lnu

Electronic Theses, Projects, and Dissertations

Sarcasm can be identified in newspaper headlines in digital communication, as it is contextual and has low inter- and intra-observer reliability. This research aims to improve sarcastic comment identification using a natural language processing approach, especially the BI-LSTM. The primary concern is to use fine-tuning methods to enhance the ways that strengthen the sarcasm identification rate, which regards the factors that complicate an automatic identification process. The study explores the impact of techniques such as early stopping, optimal loss function selection, and hyperparameter tuning to enhance the model's performance. The research questions are: Q1) How can fine-tuning techniques for BI-LSTM …

A Comparative Analysis Of Passenger Demand For Two Airport Hubs In The United States, Selcuk Ertekin, Fassil Fanta

Journal of Applied Marketing Theory

This paper studies the passenger demand for two airport hubs in the United States using econometric time-series modeling. By focusing on the traditional determinants of demand (national income and price), this paper compares the econometric dynamics of passenger demand for a large and a small airport hub. We found that there is a sustained relationship between income, price, and revenue passenger miles over time. We also found that a shock in GDP causes a disruption that has a lasting impact on passenger demand.

What You Must Know: Retention And Destruction Of Dental Records And Your Most-Asked Questions About Dental Records, Daniel Schulte Jd

The Journal of the Michigan Dental Association

An overview of the basic information about dental records, including retention and destruction, that you and your staff should be aware of, provided by MDA Legal Counsel Dan Schulte, J.D. Plus, for your reference, answers to the questions Michigan dental offices are asking about dental record retention, access, release, and destruction.

Dental records are vital for patient care, legal compliance, and professional practice management. Michigan law mandates retaining dental records for a minimum of 10 years, ensuring their confidentiality, accessibility, and integrity. Destruction of records less than 10 years old requires patient notification and authorization, while those over 10 years …

Nebraska Department Of Transportation Strategic Audit, Chloe Hoover

Honors Program: Senior Projects (Public)

The Nebraska Department of Transportation (NDOT) is a state government agency that is responsible for the planning, development, design, construction, maintenance, and administration of the state highway system. Two strategic analyses are completed about NDOT: a PESTEL analysis and Porter’s Five Forces analysis. Both of these analyses showed that since NDOT is a state agency, it impacts foundational aspects of its strategy. NDOT’s strategy is influenced by its financial strategy, policies or political influence, and public importance. NDOT competes with other companies in its workforce and employees and/or applicants leaving NDOT for other companies. This report details NDOT’s strategy, competitive …

Integration Of Ai In Project Management World And Impacts, Shravani Ramaiah, Keerthivasan Kumar

School of Professional Studies

In organizations, effective project management is crucial to achieving business objectives. The ability to gain real-time insights from dynamic data across areas such as finance, resource allocation, and performance metrics can significantly enhance decision-making. Instead of relying on manual report generation, the integration of Artificial Intelligence (AI) can enable managers to access actionable insights instantly. AI-driven analytical tools provide live data analysis, allowing managers to make more informed and timely decisions. This is especially important when paired with Agile methodologies, as AI can help streamline processes, reduce manual effort, and maximize efficiency by automating routine tasks and providing predictive analytics. …

An Integrative, Systematic Review Of The Situational Judgment Test Literature, Sven Kepes, Sheila K. Keener, Filip Lievens, Michael A. Mcdaniel

Research Collection Lee Kong Chian School Of Business

Situational judgment tests (SJTs) are popular assessment approaches that present scenarios describing situations that one may experience in a job. Due to its long history and cross-disciplinary nature, today’s SJT literature is quite fragmented. In this integrative review, we start by systematically taking stock and synthesizing the SJT literature from the different scientific disciplines via bibliometric techniques on 524 unique documents. We identify six literature clusters (i.e., SJTs in the medical sciences, SJTs in personnel selection, methodological issues and SJTs for specific constructs, SJTs to assess emotional intelligence and related constructs, technological advances in SJTs, SJTs for teacher assessment and …

The Research On The Impact Of Listing Regime On Innovation For The Biotech Industry: Inspiration And Experience From Mb Rules 18a Published By Hkex, Yueying Dong

Dissertations and Theses Collection (Open Access)

The development of the Biotech Industry is not only connected to the national economy and livelihood of the people, but also affects the technology development, economy growth and national security of the country. The development depends on the technology innovation, with the essence for the continuous process of financial ecology guiding and technology refresh driving. For high-tech intensive industries of biotech companies, the development of the equity market is an important support for promoting the technology innovation. The capital market in guiding resource allocation has the responsibility of optimizing the listing regime, providing more external financing channels and promoting the …

Consumer Private Data Collection Strategies For Ai-Enabled Products, Zhaojun Yang, Yinmeng Li, Jun Sun, Xu Hu, Yali Zhang

Information Systems Faculty Publications

The increasing use of artificial intelligence (AI) to enhance products and services has enabled personalized offerings and smarter functionalities through the analysis of consumer data. However, privacy concerns present significant challenges to the effective utilization and commercialization of AI-enabled products. To address these concerns, firms must carefully navigate consumer data privacy and develop appropriate data collection strategies to support future product intelligence, particularly with AI technologies like ChatGPT. This study examines two primary data collection approaches: the uniform policy strategy and the option menu strategy. A mathematical model is constructed to assess these strategies, considering factors such as information externalities …

Utilizing Self-Management Strategies To Increase Staff Productivity In An Aba Clinic, Jasmine Margarita Hernandez-Morris

Theses and Dissertations

In Applied Behavior Analysis (ABA), self-management is defined as an individual's behavior change strategies and tactics implemented to achieve a desired behavioral outcome. Both clinicians and researchers aim to develop and implement efficient self- management strategies that enhance staff performance, ultimately driving positive outcomes for the clients they serve. At this time, the research regarding the use of self- management strategies to increase staff fluency is limited. The present study evaluated the effectiveness of using self-management strategies to increase fluency in administering a verbal operant card set. Six staff members from an ABA clinic in Central Florida were recruited for …

Short-Term Personality Development And Early Career Success: Two Longitudinal Studies During The Post-Graduation Transition, Mary-Louise Hotze, Zihan Liu, Chu Chu, Erica Baranski, Kevin A. Hoff

Research Collection Lee Kong Chian School Of Business

Objective: Investigate short-term personality development during the post-graduation transition. Background: Prior research indicates that long-term personality development matters for employment outcomes. However, this evidence is primarily limited to multi-year longitudinal studies. This research switches the focus to personality changes during a shorter, impactful life transition. Method: We examined how short-term personality development during the 14-month post-graduation transition relates to early career outcomes among two diverse samples of graduates from universities (N = 816) and community colleges (N = 567). We used latent growth curve models to examine associations between career outcomes measured 14 months after graduation with initial personality levels …

Charging During The Stay: The Effects Of Ev Chargers’ Availability And Pricing On Consumer Perceived Utilitarian Value And Behavioral Intentions, Wenjia Han, Cass Shum, Guoguang Wan

Hospitality Faculty Research

Hotels are increasingly hosting EV chargers. Yet, scant research examines the effects of EV chargers on consumer behavioral intentions toward the hotel. This study draws on the expectancy theory and examines the effect of EV chargers availability and the availability of surrounding chargers on consumer hotel booking intentions and willingness to pay a price premium. The results of two scenario-based experiments showed that free or paid EV chargers enhance consumers’ perceived utilitarian value and behavioral intentions. The effects are partially amplified when the availability of surrounding chargers is limited. This research contributes to the literature on hotel add-on services and …

Redefining Research Impact: Developing And Evaluating Modified H-Indexes For Comprehensive Academic Assessment, Nash Mayhue Minton

Theses and Dissertations

In academic research, the h-index has gained prominence as a useful metric for gauging the impact and productivity of researchers. This thesis seeks to provide a general overview of the h-index by providing information on the positive applications that the h-index utilizes, as well as the faults and limitations that diminish its utility. This thesis aims to combat the bias of hyper-authorship, which inherently inflates researchers' h-indexes by disproportionately attributing credit to individuals in multi-author publications, as well as provide other indices that could prove to be a possible replacement index or to be used as a basis for creating …

Addressing Grand Challenges Through The Bottom-Up Marketing Approach: Lessons From Subsistence Marketplaces And Marketplace Literacy, Madhubalan Viswanathan, Arun Sreekumar, Srinivas Sridharan, Gaurav R. Sinha

Marketing & Business Law Faculty Works

We present a bottom-up marketing approach as a pathway to addressing the grand challenge of poverty and inequality for the marketing discipline. We derive this approach from the research stream on radically different contexts of subsistence marketplaces. Research on subsistence marketplaces has typically explored micro-level phenomena but also traversed upward and explained aggregate phenomena at higher levels. We present a conceptual framework to encapsulate general and granular elements of the bottom-up marketing approach. Study 1 demonstrates general elements of the framework through a retrospective examination of the global diffusion of a marketplace literacy program. Study 2 demonstrates the more granular …

Benchmarking Pretrained Models For Speech Emotion Recognition: A Focus On Xception, Ahmed Hassan, Tehroom Masood, Hassan A. Ahmed, H. M. Shahzad, Hafiz Muhammad T. Khushi

Business Faculty Publications

Speech emotion recognition (SER) is an emerging technology that utilizes speech sounds to identify a speaker’s emotional state. Computational intelligence is receiving increasing attention from academics, health, and social media applications. This research was conducted to identify emotional states in verbal communication. We applied a publicly available dataset called RAVDEES. The data augmentation process involved adding noise, applying time stretching, shifting, and pitch, and extracting the features zero cross rate (ZCR), chroma shift, Mel-Frequency Cepstral Coefficients (MFCC), and a spectrogram. In addition, we used many pretrained deep learning models, such as VGG16, ResNet50, Xception, InceptionV3, and DenseNet121. Out of all …

Perceived Risk Mediation Of Website Quality In Online Clothing Shopping In A South African Township, Khathutshelo M. Makhitha, Rodney G. Duffett

The African Journal of Information Systems

South Africa lags behind other economies regarding online shopping adoption. Extant literature has focused on the influence of risk factors on consumers’ intention to shop online. However, few studies have considered the effect that mediating factors can have on relationships between other factors related to online shopping. It is particularly important to determine the mediation effect of perceived risk factors on the relationship between perceived website quality and intentions to shop online. A quantitative survey was used to collect data from 300 online shoppers who purchase clothing online and are located in the Soweto Township in Gauteng, South Africa. Perceived …

Building A Better Future For Christian Higher Education, Maria Ll Lam

Journal of the North American Management Society

This paper is an exploratory study concerning the perceptions of 16 diversity, equity, and inclusion (DEI) officers at nine Protestant evangelical Christian universities and six Catholic universities. Among these 16 DEI officers, 15 are people of color. 13 possess Ph.D. degrees and hold the highest administrative positions at their institutions. They are often required to address justice issues in their diversity initiatives if they don’t want to reproduce systematic institutional injustices in historically white-dominated Christian universities. They are working across multiple boundaries (i.e., boundary spanners) for institutional-level diversity changes. They all voice motivations to make institutional changes and 11 DEI …

Antecedents And Outcomes Of Big Data Adoption In Supply Chain, Alok Raj, Rajeev Ranjan Kumar, Anand Jeyaraj

Management Information Systems Faculty Publications

This paper aims to provide a comprehensive understanding of the big data–performance relationship based on the existing empirical evidence. Using a meta-analysis approach, big data adoption (BDA) related 446 effect sizes reported in 133 prior empirical studies were gathered from 118848 informants in more than 30 countries. Results confirm ten significant antecedents and eight outcomes of BDA based on identified literature. We further estimate the heterogeneity based on subgroup analysis by considering two types of moderators as (a)economic regions (developed vs developing), and (b) type of industry. We find that organizations in developed countries adopt big data largely due to …

Relationship-Influenced Cyber Hygiene (Rich) In Community Banks, Monte L. Ward

USF Tampa Graduate Theses and Dissertations

This dissertation is a research study that introduces the theoretical model of Relationship-Influenced Cyber Hygiene (RICH) through its investigation of the phenomenon the researcher experienced: how the interpersonal relationship between top management and cybersecurity personnel within smaller community banks influences the cyber hygiene of top management. Due to the value proposition of community banks to their clients and the limited budget of smaller institutions for investment in cybersecurity controls and initiates, community banks need additional strategies to achieve stronger cyber hygiene, especially as it relates the greatest weakness in most cybersecurity infrastructures—the human element. This study identifies and addresses a …

Towards An International, Generalizable Marketing Strategy Maturity Model, Juan Manuel Harraca

USF Tampa Graduate Theses and Dissertations

In an increasingly dynamic business environment, organizations face relentless pressure to adapt their strategies and optimize value propositions to maintain competitiveness. The formulation of effective marketing strategies has emerged as a critical factor in achieving sustainable competitive advantage and ensuring long-term success. However, many firms struggle to refine their marketing capabilities in response to evolving market demands. Addressing this challenge, the Marketing Strategy Maturity Model (MSMM), introduced by Harraca in 2023, offers a structured framework to assess and improve a firm’s marketing strategy formulation processes.

The MSMM provides a dual approach, emphasizing the enhancement of both the processes and the …