Navigating Uncertainty: A Deep Insight Into Tariffs’ Effects On The Automotive Industry,
2026
University of Mississippi
Navigating Uncertainty: A Deep Insight Into Tariffs’ Effects On The Automotive Industry, Gavin J. Gautier
Honors Theses
The purpose of this thesis is to address the financial, strategic, and external effects caused by tariffs within the automotive industry, with a specific focus on the effects caused by the Section 232 tariffs imposed on aluminum and steel. More Specifically this thesis will examine a comparative analysis of General Motors between 2017 and 2018 during the Section 232 enactment. While traditional studies tend to observe the input-cost effect, my hope is to examine the broader effects at the firm-level, such as inventory shifts, cost management, and risk hedging procedure. Through an evaluation of GM’s 10-K filings, key financial ratios, …
Scientific Research In Cuba: A General Analysis With A Special Focus On Energy, Agriculture And Technology,
2026
CI World Wide
Scientific Research In Cuba: A General Analysis With A Special Focus On Energy, Agriculture And Technology, Henri Dou, Pierre Fournie
International Journal of Islands Research
An analysis of science in Cuba is carried out using data from the OpenAlex database. Examples are developed: agriculture, rice, technology in relation to the current situation: national food supply, energy and medicine. The predominance of research in biology and medicine and the low commitment in the fields of agriculture, energy, medicinal plants and technology are highlighted. Various development schemes are proposed. The conclusion is that research must be directed towards strategic areas: food and energy, must be less dispersed and that technology must be better taken into account. Three proposals are made: the development of a chemical analysis platform …
Ethical Decision-Making Frameworks In Ai-Driven Pharmaceutical Research & Development,
2026
Harrisburg University of Science and Technology
Ethical Decision-Making Frameworks In Ai-Driven Pharmaceutical Research & Development, Dhaval Dinesh Panchal, Osama Mohd Hash Ansari, Sudha Divya Madhuri Kallam
Harrisburg University Dissertations and Theses
Artificial intelligence is increasingly being utilized in pharmaceutical research and development to speed up drug discovery, enhance clinical trial design, and support regulatory decision-making. However, the increasingly rapid adoption of AI in the pharma industry has outpaced the development of consistent ethical governance, raising concerns related to data privacy, transparency, regulatory compliance, and stakeholder trust. This study explored the methods by which project managers could develop and utilize ethical decision-making frameworks to facilitate responsible AI implementation in pharmaceutical research and development. Guided by the Responsible Innovation framework, this research employed a mixed-methods design combining semi-structured interviews and quantitative surveys with …
Team Selection Applications Using Subjective And Objective Factors: An Analytic Approach,
2026
Kennesaw State University
Team Selection Applications Using Subjective And Objective Factors: An Analytic Approach, Alan D. Smith
Atlantic Marketing Association Proceedings
No abstract provided.
A Holistic Approach To Country Branding: Examining A Master Brand And Sub-Brand Framework,
2026
Valparaiso University
A Holistic Approach To Country Branding: Examining A Master Brand And Sub-Brand Framework, Musa Pinar, Aycan Duran, Tulay Girard
Atlantic Marketing Association Proceedings
No abstract provided.
How Can Natural Language Processing Help Examine Branding Strategies? Evidence From U.S. Nonprofit Healthcare Brands,
2026
Rollins College
How Can Natural Language Processing Help Examine Branding Strategies? Evidence From U.S. Nonprofit Healthcare Brands, Jae Hwan Lee, Jiyoon An
Atlantic Marketing Association Proceedings
No abstract provided.
Struggling In A Man’S World: Moderated And Mediation Model For Women To Stay In The Logistics Industry,
2026
York College
Struggling In A Man’S World: Moderated And Mediation Model For Women To Stay In The Logistics Industry, Abdul Hafaz Ngah, Nurul Izni Kamalrulzaman, Samar Rahi, Nurul Haqimin Salleh, Jagan Jeevan, Aamir Rashid
Publications and Research
Technological advancements have transformed the nature of work, attracting more women to challenging industries such as the logistics industry. Despite this technological advancement and progress in promoting gender equality, achieving gender parity in this industry remains stagnant. Using the extended self-determination theory, this study explores new mediating and moderating variables to identify factors influencing female employee retention in the logistics industry in Malaysia. Based on a quantitative approach and purposive sampling, 278 responses were collected from women in the logistics industry through online surveys. Most direct hypotheses were supported, and significant mediation and moderation effects were found. In addition to …
Information Sharing, Quality Management, And Firm Performance: The Mediating Role Of Supply Chain Agility,
2026
Department of Business and Economics, School of Business and Information Systems, York College, City University of New York, Jamaica, NY 11451, USA
Information Sharing, Quality Management, And Firm Performance: The Mediating Role Of Supply Chain Agility, Aamir Rashid, Rizwana Rasheed, Syed Babar Ali
Publications and Research
The fashion industry’s business is becoming increasingly complicated and active. This industry is expected to be highly competitive, particularly in the retail sector. Therefore, this research aims to examine the impact of supply chain information sharing and quality management on firm performance, with supply chain agility as a mediating variable, in the Asian fashion industry. A total of 169 participants from the fashion sector in a developing country were surveyed. The proposed hypotheses were examined using a quantitative approach, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS to assess and validate the measurement model. The results indicate that …
Ethical Attitudes Of Emerging Entrepreneurs: Unethical Business Practices And Informal Entrepreneurship,
2026
The University of Southern Mississippi
Ethical Attitudes Of Emerging Entrepreneurs: Unethical Business Practices And Informal Entrepreneurship, Reuben Mcdonald
Honors Theses
This thesis aims to analyze the connection between how entrepreneurs’ ethical attitudes impact their intentions in pursuing informal entrepreneurship practices. The research question of this thesis is, “To what extent do the ethical attitudes of pre-venture entrepreneurs affect their willingness to engage in informal business practices?” To answer this question, the researcher utilized both previously validated and developed scales to measure how ethical attitudes impact the informal entrepreneurship intentions of college students. Within this thesis, the researcher discusses the creation of the measurement instrument, the results of the data measured by the instrument, and the impact of ethical attitudes on …
When Brand Protection Leads To Brand Crisis: The Case Of Disposable Fashion,
2026
CUNY Bernard M Baruch College
When Brand Protection Leads To Brand Crisis: The Case Of Disposable Fashion, Priya Rangaswamy, Rohini Daraboina, Lizhihan Yu
AMTP Proceedings 2026
Firms in the fashion industry have a practice of disposing unsold inventory to protect their brand value. It has gained a lot of importance in the media due to increasing consumer awareness about sustainability and has led to consumer backlash. This research examines whether this practice negatively impacts firm value, contrary to the firm’s belief. Specifically, the authors examine the effects of news on inventory disposal on short-term cumulative abnormal returns using an event-study methodology. Results show that news of this practice has a negative relationship with firm value for both the focal firm engaged in the practice and rival …
Data Tracking And Analytics Within Inventory Management: Coffee Shop And Retail Store Optimization,
2026
University of South Carolina - Columbia
Data Tracking And Analytics Within Inventory Management: Coffee Shop And Retail Store Optimization, Mateo J. Moyon
Senior Theses
This thesis examines the application of inventory management theory in the small and medium-sized business context, with a specific focus on the food and beverage industry. Drawing on the foundational academic literature spanning from Harris’s EOQ formula in 1913 through stochastic inventory theory, ABC analysis, and just-in-time strategy, this paper establishes the mathematical and operational bases for modern inventory management practice. Although there are proven value to these frameworks, research demonstrates that small to medium sized businesses adopt inventory management systems at lower rates citing cost and implementation as barriers. This thesis argues that the emergence of low-cost inventory and …
Strategic Planning Time Horizons And Hospital Performance Outcomes,
2026
Medical University of South Carolina
Strategic Planning Time Horizons And Hospital Performance Outcomes, David Meyer
MUSC Theses and Dissertations
Background: Despite widespread adoption of strategic planning in healthcare, empirical evidence linking strategic planning time horizons to hospital financial and quality performance outcomes remains limited. Healthcare executives invest substantial resources in strategic planning processes, yet lack evidence-based guidance on whether longer or shorter planning horizons yield enhanced financial and quality-related results.
Methods: This study employed an exploratory sequential mixed-methods design combining executive survey data with archival performance data. A REDCap survey was administered to 22 hospital CEOs, CFOs, and other C-suite executives between January and February 2026. Survey responses were matched to publicly available financial and quality performance data from …
Ai-Scm Cmm: A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management,
2026
Dakota State University
Ai-Scm Cmm: A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines, Omar F. El-Gayar, Patti Brooks, Insu Park
Annual Research Symposium
Artificial intelligence is increasingly deployed in supply chain management, yet many organizations struggle to align adoption efforts with process readiness, data quality, governance, and workforce capabilities, and they still lack validated supply chain specific roadmap for assessing readiness, sequencing investments, and reducing implementation risk. This study develops and evaluates a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management to address that gap. Using a design science research approach, the study synthesizes prior literature and practitioner knowledge to define maturity dimensions, capability indicators, and staged progression levels for AI integration in supply chain contexts. The artifact and assessment …
Internal Quality Enhancement: Case Of A Uae Business School,
2026
Lancaster University
Internal Quality Enhancement: Case Of A Uae Business School, Valentine Matthews
International Journal of Applied Management and Technology
This paper presents a case study of a quality enhancement process of a small business school in the United Arab Emirates. The research explores this specific quality enhancement process with a focus on why it is implemented by the case institution and how it achieves quality improvement. The case quality enhancement process is an internal institutional approach that deviates from the Scottish Enhancement-Led Institutional Review approach. Articulation of the process is conducted from policy and practice. The articulation provides deeper and clearer understanding of the approach to quality enhancement, how it achieves quality improvements, and the leadership’s justifications for adopting …
Program Management And Building Partner Capacity: A Tangled Thicket,
2026
Embry-Riddle Aeronautical University
Program Management And Building Partner Capacity: A Tangled Thicket, Phil W. Reynolds
Publications
This chapter explores how the U.S. Department of Defense plans and executes Building Partner Capacity projects in lower-middle and low-income partners. U.S. planners and practitioners rarely understand the effective pre-conditions that influence partner security apparatus and infrastructure. Consequently, security capabilities provided to the partner are rarely sustained and provide questionable security to the affected population. The U.S. Department of Defense uses a three-part approach to building security with partners: training and equipping, building institutional capacity, and monitoring and evaluating. U.S. security planners should manage all three parts concurrently to produce a security capability that the partner uses and sustains and …
Expanding Waste Segregation Initiatives To Reduce Regulated Medical Waste: A Multi-Departmental Quality Improvement Project,
2026
Summa Health System
Expanding Waste Segregation Initiatives To Reduce Regulated Medical Waste: A Multi-Departmental Quality Improvement Project, Emily M. Su, Anuja L. Sarode, Mohammed Sami, David R. Nehring, Erica L. Laipply, Mustafa Culcuoglu
HCA Healthcare Journal of Medicine
Background
Regulated medical waste (RMW) drives up health care costs, largely due to misclassification of general waste, especially in operating rooms (ORs), intensive care units (ICUs), and obstetrics and gynecology (OBGYN) departments. This study aimed to reduce RMW volume and costs at Akron City Hospital (ACH) through department-specific interventions aligning with Occupational Safety and Health Administration (OSHA) and Ohio Environmental Protection Agency guidelines.
Methods
Periodic analyses compared hospital-wide aggregate RMW volume, pick-up frequency, and disposal costs before and after interventions. The ORs initiated interventions in October 2022, expanding to ICUs and OBGYN by February 2024. Strategies included staff education, flyers …
A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management,
2026
Dakota State University
A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines
Dissertations
Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.
Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …
Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance,
2026
Capital University of Science and Technology, Islamabad, Pakistan
Enhancing It Project Sustainability: The Role Of Collaborative Resources, Stakeholder Engagement, And Project Governance, Laiba Tahir, Arif Uddin
Business Review
The purpose of this research is to examine the impact of collaborative social resources on project sustainability in Pakistan's IT Projects, with particular emphasis on the mediating effect of stakeholder engagement and the moderating role of project governance. A quantitative research strategy applied using a standardized questionnaire administered via Google Forms. The questionnaire, developed after reviewing relevant literature, and shared with IT professionals across Pakistan, yielding 342 valid responses out of approximately 600 distributed forms. Data analyzed with Statistical Package for the Social Sciences (SPSS) for preliminary analysis and AMOS (Analysis of Moment Structures) Structural Equation Modeling used for measurement …
The Impact Of Central Bank Digital Currencies News On Bank Stability: Evidence From Asean-5 Countries,
2026
Bank Indonesia, Provinsi Sulawesi Selatan, Indonesia
The Impact Of Central Bank Digital Currencies News On Bank Stability: Evidence From Asean-5 Countries, Firman Hidayat, Raditya Sukmana, Masrizal Masrizal, Rahmat Heru Setianto
Bulletin of Monetary Economics and Banking
This study constructs an index reflecting Central Bank Digital Currency (CBDC) news coverage and evaluates its impact on bank stability. The CBDC Attention Index (CBDCAI) is formulated based on more than 533 Reuters Digital News Report articles from 2019 to 2023. Employing the System Generalized Method of Moments (GMM) approach with data from 92 banks across ASEAN-5 nations, and implementing quantile regression for robustness checks, the findings demonstrate a significant relationship between the CBDCAI and bank stability, alongside variables such as bank size and capitalization. These results offer valuable guidance for central banks, especially within the ASEAN-5 region, as they …
Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem,
2026
University of Denver
Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem, Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan
Electrical and Computer Engineering: Faculty Scholarship
Resource scheduling is critical in many industries, especially in power systems where the Unit Commitment (UC) problem determines the on/off status and output levels of generators under physical and economic constraints. Traditional exact methods, such as Branch-and-Bound, Branch-and-Cut, dynamic programming and mixed-integer linear programming (MILP), remain the backbone of UC solution techniques, but they often rely on linear approximations or exhaustive search, leading to high computational burdens as system size grows. Metaheuristic approaches, such as genetic algorithms, particle swarm optimization, and other evolutionary methods, have been explored to mitigate this complexity; however, they typically lack optimality guarantees, exhibit sensitivity to …
