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Transportation and Mobility Management Commons™
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- Artificial Intelligence; Supply Chain Management; Capability Maturity Model; AI Integration; AI Readiness; Design Science Research; Delphi Method; Supply Chain Analytics; Supply Chain Resilience; Organizational Capability (1)
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Articles 1 - 12 of 12
Full-Text Articles in Transportation and Mobility Management
A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines
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 …
Rm Sotheby’S Construction Of Value In The High-End Car Market, Pablo Mijares Musi
Rm Sotheby’S Construction Of Value In The High-End Car Market, Pablo Mijares Musi
MA Theses
The purpose of my thesis is to tell and enlighten any readers how the most prestigious and iconic auction house in the world, RM Sotheby’s sells more than just cars from the high-end car market and how the auction house adds value to through storytelling and provenance from each vehicle. In today’s luxury market economics, we see somewhat of a radical shift. The high-end car market has moved into a very refined area where these beautiful machines are no longer seen and appraised just for their aesthetic design and mechanical engineering, now we see new value drivers for these works …
Combating Forced Labor In Global Supply Chains Through Modern Technology: A Case Study Of Uyghurs In Xinjiang, Samuel Donohue
Combating Forced Labor In Global Supply Chains Through Modern Technology: A Case Study Of Uyghurs In Xinjiang, Samuel Donohue
Senior Theses
This thesis examines how modern traceability technologies can help combat forced labor in global supply chains, focusing on the case of Uyghur workers in Xinjiang, China. The research addresses the pressing challenge of verifying ethical labor practices in complex, multi-tiered supply networks, using the case study alongside an extensive literature review. It evaluates advanced technological solutions, including blockchain ledgers, isotope analysis, radio-frequency identification (RFID) tagging, and microbiome tracing as tools to improve supply chain transparency. Through qualitative case analysis and analysis of current research, the thesis assesses each technology’s capability to trace product origins and authenticate labor conditions. The findings …
Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey
Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey
All Theses
This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …
Harnessing The Power Of Cliftonstrengths®: How Multinational Corporations Can Use Deep-Level Diversity To Enhance Organizational Inclusion, Trapper Kay Pace
Harnessing The Power Of Cliftonstrengths®: How Multinational Corporations Can Use Deep-Level Diversity To Enhance Organizational Inclusion, Trapper Kay Pace
Electronic Theses and Dissertations
This research explicitly investigated how multinational corporations can enhance workplace inclusion through the novel use of the CliftonStrengths® assessment as a dimension of deep-level diversity. The study gleaned insights from employees’ perspectives, employing a constructivist grounded theory approach to explicate their experiences in rich qualitative narratives. Through open-ended surveys and intensive interviews, participants were selected using purposeful sampling to ensure meaningful data collection from the study organizations’ three global regions. The researcher conducted the analysis systematically through the constant comparison of data utilizing the NVivo14 software to assist in constructing codes, themes, and a theoretical schema. Results highlighted the significance …
Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu
Dissertations, Theses, and Capstone Projects
This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
Asia Pacific Perspectives Vol. 18 No 1. 2023, University Of San Francisco
Asia Pacific Perspectives Vol. 18 No 1. 2023, University Of San Francisco
Asia Pacific Perspectives
Contents:
Articles
Urban Youth on the Margins: Inequality in China’s Sent Down Youth Movement by Sanjiao Tang
Chinese Firms in the Belt and Road Initiative: A Cross-Sectoral Study of BRI Activities in Kenya by Yabo Wu
Book Review
W. Puck Brecher. Animal Care in Japanese Tradition: A Short History by James Stone Lunde
A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala
A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala
Computer Science Faculty Publications
Crude oil is one of the world’s most important commodities. Its price can affect the global economy, as well as the economies of importing and exporting countries. As a result, forecasting the price of crude oil is essential for investors. However, crude oil price tends to fluctuate considerably during significant world events, such as the COVID-19 pandemic and geopolitical conflicts. In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead. The model extracts important features that impact crude oil prices and uses them to predict future prices. The prediction model …
An Analysis Of The Environmental And Security Risks Related To Crude Oil Transportation, Carolina Ana Da Graca
An Analysis Of The Environmental And Security Risks Related To Crude Oil Transportation, Carolina Ana Da Graca
Honor’s College Freeman Research Journal
This paper informs and reviews the environmental and security risks related to crude oil transportation. The necessity for oil in various nations has increased the volume of oil transportation, resulting in the exponential change in the maritime oil transportation business. As a result, the vulnerabilities and the demand for safety have grown in importance. Today, transportation oil spills account for roughly 13% of all oil contamination in the world's waterways. This paper aims to understand how oil spills happen, the major contributors' factors, and prevention methods. To complete my goal, I interviewed 20 people, 4 of them independently and the …
The Feasibility Of Containerization In The Great Lakes St. Lawrence Seaway System, Nick Edwards
The Feasibility Of Containerization In The Great Lakes St. Lawrence Seaway System, Nick Edwards
Political Science Theses and Capstones
The use of waterways to transport goods has always been a staple of civilization dating back to some of our earliest days. And throughout history it has always played a pivotal role in our economies and affected the very way in which our civilizations developed. Perhaps one of the world's most important waterways is the Great Lakes that lie directly in the heart of the North American continent and connect the heartland of North America to the Atlantic Ocean. Thus, providing a vital mode of transportation for shipping a variety of products from North America’s heartland to the rest of …
Economic Growth, Energy Consumption, And Carbon Dioxide Emissions In The E7 Countries: A Bootstrap Ardl Bound Test, Teng Tong, Jaime Ortiz, Chuanhua Xu, Fangjhy Li
Economic Growth, Energy Consumption, And Carbon Dioxide Emissions In The E7 Countries: A Bootstrap Ardl Bound Test, Teng Tong, Jaime Ortiz, Chuanhua Xu, Fangjhy Li
International Business and Entrepreneurship Faculty Publications
Background
International awareness of the impact of global warming and climate change is increasing. Developing countries face the task of achieving sustainable economic growth while also improving the efficiency of their energy consumption. The E7 countries (Brazil, India, Indonesia, Mexico, People’s Republic of China, Russia, and Turkey) are all highly concerned with the promotion of carbon-emission-reduction strategies.
Methods
This research uses a bootstrap autoregressive distributed lag (ARDL) bound test with structural breaks to examine the cointegration and causality relations between economic growth, energy consumption, and carbon dioxide (CO2) emissions in the E7 countries.
Results
There is no cointegration between economic …