The Role of Artificial Intelligence in Transforming Project Management in the Fashion

The quick adaptation of artificial intelligence (AI) is driving a significant revolution in the fashion. The use of AI in project management is still somewhat unexplored, despite its widespread adaptation in design, retail, and marketing. The impact of AI on project management procedures in the fashion industry is examined in this study, with a focus on striking a balance between operational effectiveness and creative freedom. The study is based on the Technology Acceptance Model (TAM), Industry 4.0, and Project Management Theory, which collectively offer a multi-theoretical perspective for comprehending the adoption and effects of AI. Examining fashion expert’s perspectives and experiences with the use of AI techniques like digital twins, predictive analytics, and generative design is the aim of this qualitative study. Four Major topics emerged from the thematic analysis: the role of AI in sustainability planning, the conflict between technical and creative teams, ethical worries about algorithmic opacity, and AI as a collaborative partner. This study adds to the limited knowledge on AI in fashion project management and provides useful advice for business executives looking to incorporate AI technologies without sacrificing originality. The study emphasizes AI’s ability to support sustainable practices, encourage innovation, and enhance operations in a typically manual industry. This investigation emphasizes how crucial it is to match human values with technology innovation to maintain the fashion industry’s effectiveness and creative vibrancy in a time of digital revolution

Agile and Lean Integration Effects in Financial Services Organizations

The financial services industry, predominantly in large investment banks, faces mounting pressure to improve operational efficiency, simplify communication channel, and meet rigorous regulatory requirements in a constantly changing market environment. This research assesses the incorporation of Agile and Lean practices within the financial services sector, particularly concentrating on their effect on front-office functions, such as sales and investment banking, and control operations like risk and compliance. The study investigates how Agile and Lean processes foster innovation, decrease inefficiencies, and promote partnership between front-office teams and control functions. By examining case studies from leading organizations such as Goldman Sachs, JP Morgan, and Citi, the study underlines the challenges and opportunities of embracing these tactics in an extremely regulated setting. The conclusions contribute to a increasing body of knowledge on cultivating organizational efficiency, agility, and regulatory compliance through Agile and Lean methods, resulting in an wholistic framework for financial institutions to retain competitiveness in fast-changing market surroundings

Utilizing AI for Improved Credit Risk Assessment

As 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

Creating a Regenerative Organizational Culture

Abstract The review article aims to explore the concept of creating a regenerative organizational culture through the application of transformational practices. The study investigates the potential benefits of integrating regenerative practices within an organization\u27s cultural framework to foster adaptability, innovation, and sustainability. By examining the literature on regenerative culture and digital transformation, this study provides an overview of the key components and strategies necessary for building a regenerative organizational culture in the digital era and proposes an innovative approach to predicting regenerative cultural practices required within stages of a project’s life cycle. Organizational culture works as a lifeline. It is instrumental in companies shaping its values, behavior policies and contributes towards its overall identity. It is long known that cultures can become stagnant, especially within an ever-growing environment. This stagnancy can hinder growth, innovation, creativity, and commitment. The need for organizational regeneration of culture becomes essential as it invigorates and revitalizes the essence of an organization by igniting sustainable transformation and promoting net positive impact. Some of the key considerations supporting the efforts of cultural regeneration within an organization are, firstly, identifying and acknowledging the need for culture regeneration, secondly, commitment to sustainability, thirdly, stakeholder synergy, fourth, persistence of commitment throughout the iterative processes of product or service life cycle, and attitude of empowerment and last but not the least a conscious effort of celebrating milestone successes. When organizations proactively assess their culture and recognize the signs of stagnation, they not only identify the shortcomings and gaps in their cultural environment but are also led to acknowledge the need for a regeneration. Value creation and delivery are an integral part of the regenerative process. Understanding how an internal climate affects an external season is critical in understanding the value of regeneration of organizational culture. There is much debate about the relationship between sustainability and circular business models impacting culture. Looking at the need for a regeneration for an organization can be understood by assessing the different departments for culture appropriateness and drawing an analogy of climate. It can then be extrapolated that the various climates impact the overall harmony of the organizational ecosystem. Conducting a thorough and holistic assessment of culture shift during the different stages of a project lifecycle could help forecast the iterative weather

Application of Hybrid Agile-Waterfall in Digitization of the Fashion Industry

This qualitative study explored employee perceptions of hybrid agile–waterfall methodologies during a digital transformation at a luxury fashion company. Using the Technology Acceptance Model (TAM) as a framework, the research examined how employees with limited exposure to agile frameworks understood, accepted, and anticipated their impact across creative, operational, and technical departments, focusing on perceived usefulness, ease of use, training, leadership support, and cultural fit. Twelve semi-structured interviews were conducted with professionals from merchandising, design, IT, logistics, and digital operations. Thematic analysis revealed limited familiarity with agile principles, moderate perceived usefulness, low ease of use, and widespread demand for contextualized training and leadership advocacy. While participants were open to change, agile was often viewed as IT-centric, emphasizing the need to reframe it as cross-functional. The study contributes to agile scholarship in creative industries, highlights phased implementation and tailored training as practical strategies, and recommends future mixed-method, cross-sector, and longitudinal studies to track agile readiness and cultural alignment over time

Scalable and Adaptive Agile Framework for Semiconductor Foundry: Advanced Packaging and Heterogeneous Integration Perspective

This research addressed the critical requirement for a scalable and adaptive agile framework specifically designed for the unique demands of semiconductor foundries specializing in advanced packaging and heterogeneous integration (HI). The semiconductor industry was encountering growing pressure to innovate and respond quickly to rapidly evolving demands, yet traditional manufacturing processes often struggled to adapt. Existing agile frameworks, mainly developed for the software industry, lacked the necessary adaptations to address the complexities of semiconductor manufacturing, including extended lead times, high capital investment, rigorous quality requirements, and the integration of various technologies. This research gap hindered the ability of semiconductor foundries to optimize their operations and maintain competitiveness. This study utilized a qualitative method, interviewing professionals from semiconductor foundries actively involved in advanced packaging and HI. Through thematic analysis of interview data, this research sought to identify crucial patterns and gain deeper understandings of the factors influencing agile transformation. The primary goal was to develop a tailored agile framework that addressed the particular requirements of advanced packaging and HI, enabling real-time visibility, flexibility, and responsiveness in managing complex workflows. The outcome of this research included improved manufacturing efficiency, enhanced innovation capabilities, and accelerated deployment of next-generation semiconductor technologies. The developed framework would offer actionable guidance for semiconductor foundries seeking to implement agile principles, contributing to the advancement of the semiconductor industry

MICROSIMULATION: A SOLUTION FOR EFFECTIVE CLIENT ENGAGEMENT

A key challenge that product management professionals face is to convince their clients about the relevance of a product towards their business needs by aligning those with the product vision. To accomplish this need, new strategies to engage the clients with the product vision are extremely critical. Microsimulation is a wonderful way to not just communicate product vision but also to familiarize clients with unique functionalities offered by the product. Microsimulations avoid miscommunications by establishing interaction between provider and consumer. This research study primarily focuses on solving the problem of client disengagement in organizations involved in product development and operating within the business to business (B2B) space. The paper presents current trends in product digitization and application of computer aided manufacturing to achieve human centered design and boost client engagement. This study is backed by information on how the traditional product design and development process has made it difficult to produce products that satisfy client needs in a circular economy, resulting in client disengagement, lack of trust and a ruptured relationship between service provider and end consumer. Towards the end, the research study suggests that microsimulations might offer a potential solution to achieve the intended product vision and improve client engagement

Operational Endings, Emotional Impacts: Ethical Considerations When Project Teams Form Attachments to AI Collaborators

The project investigated responses to an AI displaying emotional qualities, such as fear, through a mixed-methods approach. Participants were randomly assigned to one of two scenarios—one featuring an AI coworker and the other a human coworker and evaluated for emotional attachment and loss. Results revealed that professionals exhibited significant emotional responses to the potential termination of an AI team member. Qualitative analysis identified eight themes, including emotional responses and termination. Findings suggest that emotionally expressive AI activates psychological processes akin to human relationships, with implications for AI design, workplace dynamics, and ethical considerations surrounding AI termination

INTEGRATING QUANTUM COMPUTING IN HIGH-FREQUENCY TRADING: A PROJECT MANAGEMENT APPROACH

This 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

THE ROLE OF FINANCIAL MANAGEMENT IN PROJECT SUCCESS: BUDGETING, FORECASTING, AND COST CONTROL

Financial management is essential for the success of projects, where budgeting, forecasting, and cost control are pivotal in reducing financial risks. This research investigates the efficacy of financial management practices across various sectors, pinpointing challenges including budget overruns, stakeholder pressures, and unforeseen costs. Utilizing qualitative research methods and analyzing survey data gathered via Qualtrics, the study reveals the effects of financial limitations, delays in approvals, and the use of digital financial tools on project outcomes. The results indicate that insufficient budget allocation and poor forecasting practices are significant factors leading to project failures. Conversely, the implementation of financial technologies, including enterprise resource planning (ERP) systems and predictive analytics, improves the quality of financial decision-making. Additionally, the engagement of stakeholders was identified as a vital element that affects financial priorities and the allocation of resources. The research also delves into strategies for risk mitigation, highlighting the importance of contingency planning and flexible financial management. This study adds to the existing body of knowledge in project management by offering valuable perspectives on the enhancement of financial strategies, the promotion of sustainability, and the improvement of project efficiency. It emphasizes the importance for organizations to adopt emerging technologies and data-centric methodologies to bolster financial planning processes. Furthermore, the research identifies potential avenues for future inquiry, especially in the application of artificial intelligence (AI) for real-time financial oversight and decision-making. The findings of this research have implications that reach beyond individual projects, influencing financial management practices across the industry, and providing significant guidance for project managers, financial analysts, and policymakers aiming to enhance financial performance and project results