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435 research outputs found
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DESIGNING A HUMAN-CENTERED PUBLIC RELATIONS SYSTEM FOR LAYOFFS AT ORGANIZATIONS ACROSS FINANCIAL AND PROFESSIONAL SERVICES
Full text linkPublic relations professionals support businesses across financial and professional services sectors with several initiatives, including reduction of workforce. Given the current macroeconomic situation, as of April 2025, many companies are laying off employees, and doing so in a non-user-centric way. This study will examine existing literature on the topics of corporate communications, reduction of the workforce, reputation management, human-centered interaction design, and project management, and explore the opportunity and relevance of applying human-centered methods to the reduction of workforce processes
INTEGRATING QUANTUM COMPUTING IN HIGH-FREQUENCY TRADING: A PROJECT MANAGEMENT APPROACH
Full text linkThis thesis explores the integration of quantum computing in high-frequency trading (HFT) from a project management perspective. As quantum computing emerges as a transformative technology, its potential to revolutionize financial markets, particularly HFT, necessitates structured approaches to manage the associated complexities and risks. Agile methodologies are examined as a solution to bridge the gap between the rapid development cycles of quantum software and the high-speed requirements of trading algorithms. The study employs a qualitative research approach, incorporating expert interviews and literature analysis to identify the challenges and opportunities of implementing quantum computing in HFT. The research reveals that while quantum computing offers significant advantages in speed and optimization, the lack of standardized practices and scalable project management frameworks poses challenges. This study recommends an Agile-Quantum Hybrid approach to mitigate these risks and enhance project success rates. The findings of this thesis contribute to the growing body of knowledge on the intersection of quantum computing and financial markets, providing a roadmap for future projects in the domain
Effects of Emotional Intelligence in Enhancing Team Collaboration and Conflict Resolution in Agile Project Management
Full text linkIn this study, I explored the use of emotional intelligence (EI) in enhancing team collaboration and conflict resolution within agile project management environments. Though agile methodologies have gained more popularity, most projects still suffer from interpersonal conflicts and communication failures that detract from project performance. Though the literature is particular to the dynamics of agile project management, little is known about the emotional and interpersonal dynamics that influence team effectiveness. I examined how EI skills such as self-awareness, self-regulation, empathy, and social skills influence team dynamics and project success. Guided by Daniel Goleman\u27s Emotional Intelligence Framework, in this qualitative study, I employed semi-structured interviews to gather data from agile project managers and team members of small- and medium-sized organizations in the Washington D.C. area
AGILE PROJECT MANAGEMENT AND THE FUTURE OF R&D
Full text linkThe use of Agile methodologies in research and development (R&D) sectors is changing the project management landscape by profoundly altering approaches to innovation and execution. This research will delve into the benefits and challenges of implementing Agile in an R&D setting, with a particular focus on the increasing significance of AI. The research\u27s central theme offers a comprehensive analysis of how Agile approaches are shaping the future of R&D. Agile\u27s iterative process, with its high degree of adaptability, flexibility, and iterative methods, is particularly beneficial in R&D, where reshaping research teams\u27 approaches to creativity and problem-solving even in the most complex contexts. Research suggests that Agile Project Management has the potential to enhance R&D procedures by fostering flexibility, collaboration, and creativity. However, significant challenges exist, particularly in implementing Agile techniques and overcoming organizational culture resistance. On the other hand, AI presents an exciting opportunity for R&D despite the governance and ethical responsibilities it entails. The potential of AI to significantly simplify Agile processes should excite stakeholders about the future of R&D. Looking ahead, research must focus on the seamless integration of Agile and AI into R&D, aiming to maximize innovation while ensuring ethical oversight and stakeholder participation
Project Managers, the Heart of Every Football Club.
Full text linkProject managers have become central to the success of modern football clubs, managing both the sporting and business aspects of operations. This paper examines how the role of project managers has evolved over the last 20 years, expanding from football-related duties to encompass broader responsibilities, including financial management, recruitment strategies, and long-term planning. With football clubs now functioning as multi-billion-dollar organizations, the influence of project managers has grown significantly, as they are tasked with balancing on-pitch success with off-pitch business objectives. The study highlights how project managers have become indispensable, often holding more power than some stakeholders, making their role crucial to a club’s stability and future success. As clubs increasingly rely on project managers, the paper also explores the risks of concentrating too much power in a single individual. The success or failure of a club can now hinge on the decisions of one person, creating a fragile dynamic where mistakes can have widespread consequences. Additionally, the study delves into the growing pressure project managers face, as they are tasked with navigating an industry that has seen rapid commercialization, inflated transfer fees, and increased competition. Overall, project managers are positioned as the heart of every football club, guiding its direction in an ever-changing and competitive environment
Advancing U.S. Competitiveness in Agentic Gen AI: A Strategic Framework for Interoperability and Governance
No full textAbstract : The rapid evolution of artificial intelligence has given rise to agentic AI systems—autonomous entities capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This work provides a systematic analysis of agentic AI frameworks, governance models, and implementation strategies. Drawing on a comprehensive review of the literature, we examine the current state of agentic AI technologies, highlight key challenges in governance, security, and ethical oversight, and compare architectural frameworks for responsible deployment. Our results, illustrated through detailed framework comparisons and governance analyses, demonstrate that while agentic AI holds transformative potential across multiple sectors, notable gaps persist in standardization, regulatory compliance, and interoperability. To address these issues, we propose a layered architecture that embeds governance and security across all system layers. An analysis of the competitive landscape further identifies critical interoperability challenges that could undermine U.S. leadership. Based on these insights, we outline a strategic framework for U.S. competitiveness, emphasizing accelerated standards development, international collaboration, and investment in interoperability research. Finally, emerging trends and future directions are explored to provide a comprehensive roadmap for responsible deployment of agentic AI
Utilizing AI for Improved Credit Risk Assessment
Full text linkAs the finance sector continues to evolve, traditional risk assessment methods struggle to calculate default risk and identify nonlinear relationships accurately. This research examines an alternative risk assessment model designed to estimate credit risk more accurately and efficiently in the credit processes of individual customers, which are one of the primary sources of income for the banking sector. It presents the theoretical design of an AI-based model. The use of this AI model can reduce human error in processes, improve risk assessment accuracy, and expedite procedures. The study adopts a postpositivist worldview and employs a quantitative research design. Algorithms including Logistic Regression, Gradient-Boosting Algorithms, Decision Trees, Random Forests, Support Vector Machines, and Neural Networks are compared. An ensemble model using XGBoost was chosen to enhance accuracy in risk prediction by addressing the model\u27s weaknesses through a boosting technique. Cross-validation techniques are proposed to ensure high accuracy on unseen datasets and verify model reliability. The performance evaluation framework for the model, including performance metrics, is also established. Python is the primary tool used in the study, employing the NumPy, Pandas, Matplotlib, and Sklearn libraries for the data preprocessing and analysis phase. The development phase is also planned to utilize Python with TensorFlow and PyTorch libraries. In conclusion, the research evaluates the feasibility and potential of artificial intelligence in credit risk assessment, demonstrating its ability to enhance accuracy and operational efficiency while overcoming human limitations in traditional methods. It details the theoretical design of an AI-based model, serves as a guide for future work, and offers recommendations for practical applications in the banking sector
Automation Mismatch: How Contractor AI Adoption Challenges Institutional Procurement Norms at U.S. Customs and Border Protection (CBP)
Full text linkThis letter explores a growing strain in the U.S. federal procurement: the automation mismatch between AI-powered proposal development by contractors and the regulation-bound evaluation systems at agencies like U.S. Customs and Border Protection (CBP). Tools like Vultron and Unanet AI have enabled federal contractors to increase proposal submission volume, yet institutional constraints such as data sensitivity, budget limitations, and cultural barriers have hindered equivalent modernization on the government side. This article leverages institutional theory and prior research to analyze this disparity, highlighting how legal and cultural factors limit AI integration in procurement. Detailed analysis of these regulatory and cultural influences is essential to understanding and navigating the future of AI in procurement
The Role of AI in Enhancing Teamwork, Resilience and Decision-Making: Review of Recent Developments
Full text linkThis paper explores the transformative impact of artificial intelligence (AI) on organizational teamwork, decision-making, and resilience. This paper furthur reviews recent literature on the integration of Artificial Intelligence (AI) in various organizational functions, focusing on its impact on innovation management, leadership paradigms, and organizational resilience. We provide groundwork required to enhance frameworks that can integrate cognitive scaffolding with antifragile team dynamics, employing behavioral economics and neurocognitive principles. We introduce methodologies for enhancing team resilience through adaptive AI systems, cross-training interventions, and pre-mortem simulation techniques. The framework addresses key challenges in confirmation bias mitigation, cultural dimension alignment, and vigilance decrement prevention. This paper explores how cognitive scaffolding mechanisms within organizations enhance team antifragility, enabling dynamic adaptation and growth under stress.We further synthesize findings from studies exploring the adoption of generative AI tools like ChatGPT by innovation managers, the potential of AI in enhancing resilience for small businesses in the context of Industry 5.0, and the evolving role of leadership in the age of AI. Furthermore, we examine the significance of human factors such as emotional intelligence, empathy, and self-compassion in navigating the integration of AI and fostering innovation and resilience within teams and organizations. This review highlights the complex interplay between technological advancements and essential human capabilities in shaping the future of work and organizational success. Through systematic analysis of 32 peer-reviewed studies (2016-2025), we surveyed and found how AI cognitive scaffolding systems improve team antifragility by 214% when combined with human emotional intelligence. Our review by studying research reveals that hybrid AI-human decision models achieve 38% faster response times while maintaining 89% prediction accuracy in behavioral assessments. The paper introduces a novel cultural alignment metric (Cdiff ) for global teams and evaluates four STAR framework variants for AI-enhanced workforce development