This piece aims to discuss the roles of emerging geographies within the context of global supply chains, approaching the conversation with a "systems" view, emphasizing three key facets essential to a holistic and interdisciplinary environmental analysis: -The Implications of Governmental & Economic Activities -Supply Chain Enablement Activities, Risk Mitigation in Emerging Nations -Implications Regarding Sustainability, Corporate Social Responsibility In the appreciation of the interdisciplinary implications that stem from participation in global supply networks, supply chain professionals can position their firms for continued success in the proactive construction of robust and resilient supply chains. Across industries, how will supply networks in emerging geographies continue to evolve? Appreciating the inherent nuances related to the political and economic climate of a region, the extent to which enablement activities must occur, and sustainability/CSR tie-ins will be key to acquire this understanding. This deliverable aims to leverage the work of philosophers, researchers and business personnel as these questions are explored. The author will also introduce a novel method of teaching (IMRS) in the undergraduate business classroom that challenges the students to integrate their prior experiences both in the classroom and in the business world as they learn to craft locally relevant solutions to solve complex global problems.

The purpose of this honors thesis is to discover ways for a large humanitarian organization to more cost effectively manage its fleet of vehicles. The first phase of work involved cleaning the large data set provided by the organization. Next, we used the program STATA to run a Seemingly Unrelated Regression (SUR) to see which variables have the largest effect on the percentage of price decline and total mileage of each vehicle. The SUR model indicated that price decline is most influenced by cumulative minor repairs, total accessories, age, percentage of paved roads, and number of accidents. In addition, total mileage was most affected by percentage of paved roads, cumulative minor repairs, all wheel drive, and age. The final step of the project involved providing recommendations to the humanitarian organization based on the above results. We recommend several changes to their fleet management, including: driver training programs, increasing the amount of preventative maintenance performed on vehicles, and increasing the amount of accessories purchased for each vehicle. Implementing these changes could potentially save the organization millions of dollars due to the scope of its operation.

This thesis will analyze the operations of two nonprofit organizations located in different parts of the world. One local and one international nonprofit organization was chosen for this thesis/creative project because of the diverse culture, customs and regulations in each setting. The paper will discuss the operations of St. Vincent de Paul, the Chandler Conference of St. Vincent de Paul, and Sri Sai Darshan Trust (SSDT). The paper begins with a brief history of nonprofit organizations followed by a detailed background on both organizations. The management (organizational structure), finances, marketing, and legalities will be discussed of each nonprofit. The paper will then examine the specialized projects of each organization throughout the year. A PEST, SWOT, value chain, Kraljic, spend, and demand analysis were conducted based off of the research on each nonprofit. The paper will then discuss the problems each organization exhibits and the potential solutions the nonprofits can implement into their daily operations in order to resolve them. This section analyzes the similarities and differences within each business area of the nonprofit organization. Short-term solutions to current business problems and long-term solutions to organizational problems will be discussed in this section. The conclusion is the final element of the thesis. In this section, a balanced scorecard will be created for each nonprofit organization. In addition, the authors will discuss what they learned throughout the entire process. The goal of this thesis/creative project was to integrate the knowledge and concepts from business (marketing, finance, management, accounting, supply chain management, and computer information systems), and find an application for each within nonprofit organizations around the world.

Despite significant growth in research about supply chain integration, many questions remain unanswered regarding the path to integration and the benefits that can be accrued. This dissertation examines three aspects of supply chain integration in the health sector, leveraging the healthcare context to extend the theoretical boundaries, as well as applying supply chain knowledge to an industry known to be immature in terms of its supply chain practices.

In the first chapter, a supply chain operating model that breaks away from the traditional healthcare supply chain structures is examined. Consolidated Service Centers (CSCs) embody a shared services strategy, consolidating supply chain functions across multiple hospitals (i.e. horizontal integration) and disintermediating several key roles in healthcare supply chains such as the group purchasing organizations and national distributors. Through case studies, key characteristics of CSCs that enable them to reduce the level of supply chain complexity are examined.

The second chapter investigates buyer-supplier relationships in healthcare (i.e. supplier integration), where a high level of distrust exists between hospitals and their suppliers. This context is leveraged to study both enablers and barriers to buyer-supplier trust. The results suggest that contracting counteracts the negative effects of dependence on trust. Furthermore, the study reveals that hospital buyers may, in some situations, perceive dedicated resource investments made by suppliers as trust barriers, associating such investments with supplier upselling and entrenchment tactics. This runs contrary to how dedicated investments are perceived in most other industries.

In the third chapter, the triadic relationship between the hospital, supplier, and physician is taken into consideration. Given their professional autonomy and power, physicians commonly undermine hospital efforts in supply base rationalization and standardization. This study examines whether physician-hospital integration (i.e. customer integration) can drive physicians towards supply selection practices that align with the hospital’s sourcing strategies and ultimately result in better supply chain performance. This study utilizes theory on agency triads and professionalism and tests hypotheses through a random effects regression model applied to data about hospital financial performance and physician-hospital arrangements.

The problem concerning the access to energy has become an increasingly acute matter of concern in low-income areas. Currently an estimated 1.2 billion people don't have access to energy (IEA, 2014). Following the declaration of 2012 as "The International Year of Sustainable Energy for All" by the United Nations General Assembly (UNDP, 2014), this alarming situation of energy poverty has resulted in the creation of new partnerships between governments, NGOs (Non-Governmental Organization), and large multi-national corporations.

This study is focused on the evaluation of sustainability of a development project in Gutu, Zimbabwe that is initiated by Schneider Electric Corporation's BipBop Program. This program aims to provide access to energy via photo-voltaic cells and battery kits for daily use. It is expected that this project will have a high impact on sustainable development, and creation of value, which in turn is expected to allow participation in global supply chains.

The results gathered from the analysis show that the development project to be piloted in Gutu, Zimbabwe is likely to have a "high impact on sustainability". The project is therefore considered an effective sustainable development project that aims to promote, and develop local Zimbabwean markets through increased transactions and the creation of sustainable supply chains that are expected to recruit Zimbabwe into the global value chains.

Social shopping has emerged as a popular online retailing segment. Social shopping revolves around online communities that bring consumers together to shop for deals. Online retailers have been making significant investments to encourage consumers to join online communities linked to their websites in the hope that social interactions among consumers will increase consumption rates. However, the assumption that social interactions increase consumption rates in social shopping remains largely untested in empirical settings. Also, the mechanisms of such an effect remain unclear. Moreover, extant literature has overlooked the role played by elements of the marketing mix, including product characteristics and the commercial context, in defining the effect that social interaction mechanisms have on consumption rates in this focused context. Furthermore, common knowledge in the operations management discipline challenges the largely held assumption, in the social interactions literature, that increasing consumption rates will always be beneficial to online retailers. Higher consumption rates may lead to stockouts, leading to lower service levels. This dissertation develops and empirically tests a theoretical framework that addresses these managerially relevant issues. Specifically, the investigation centers on the effects of social interaction mechanisms on consumption rates in social shopping. In turn, it assesses the nature of the relationship between consumption rates and service levels, after controlling for inventory provision. Finally, it assesses the role played by elements of the marketing mix in defining the relationship between social interaction mechanisms and consumption rates in this focused context. The research methodology uses experiments as the primary source of data collection, and employs econometrics techniques to statistically assess the conceptual framework. The results from the empirical analysis provide interesting insights. First, they unveil influential consumers in social shopping according to relational and structural elements of the social network of consumers and time of purchase. Second, the influence of early buyers' purchases on consumption rates becomes weaker when the quality of the products being offered as part of a deal increases, but it becomes stronger when the price of those products increases. Finally, as deals' consumption rates increase, their service levels decrease at a faster pace.

Every year, more than 11 million maritime containers and 11 million commercial trucks arrive to the United States, carrying all types of imported goods. As it would be costly to inspect every container, only a fraction of them are inspected before being allowed to proceed into the United States. This dissertation proposes a decision support system that aims to allocate the scarce inspection resources at a land POE (L-POE), to minimize the different costs associated with the inspection process, including those associated with delaying the entry of legitimate imports. Given the ubiquity of sensors in all aspects of the supply chain, it is necessary to have automated decision systems that incorporate the information provided by these sensors and other possible channels into the inspection planning process. The inspection planning system proposed in this dissertation decomposes the inspection effort allocation process into two phases: Primary and detailed inspection planning. The former helps decide what to inspect, and the latter how to conduct the inspections. A multi-objective optimization (MOO) model is developed for primary inspection planning. This model tries to balance the costs of conducting inspections, direct and expected, and the waiting time of the trucks. The resulting model is exploited in two different ways: One is to construct a complete or a partial efficient frontier for the MOO model with diversity of Pareto-optimal solutions maximized; the other is to evaluate a given inspection plan and provide possible suggestions for improvement. The methodologies are described in detail and case studies provided. The case studies show that this MOO based primary planning model can effectively pick out the non-conforming trucks to inspect, while balancing the costs and waiting time.

This thesis develops a low-investment marketing strategy that allows low-to-mid level farmers extend their commercialization reach by strategically sending containers of fresh produce items to secondary markets that present temporary arbitrage opportunities. The methodology aims at identifying time windows of opportunity in which the price differential between two markets create an arbitrage opportunity for a transaction; a transaction involves buying a fresh produce item at a base market, and then shipping and selling it at secondary market price. A decision-making tool is developed that gauges the individual arbitrage opportunities and determines the specific price differential (or threshold level) that is most beneficial to the farmer under particular market conditions. For this purpose, two approaches are developed; a pragmatic approach that uses historic price information of the products in order to find the optimal price differential that maximizes earnings, and a theoretical one, which optimizes an expected profit model of the shipments to identify this optimal threshold. This thesis also develops risk management strategies that further reduce profit variability during a particular two-market transaction. In this case, financial engineering concepts are used to determine a shipment configuration strategy that minimizes the overall variability of the profits. For this, a Markowitz model is developed to determine the weight assignation of each component for a particular shipment. Based on the results of the analysis, it is deemed possible to formulate a shipment policy that not only increases the farmer's commercialization reach, but also produces profitable operations. In general, the observed rates of return under a pragmatic and theoretical approach hovered between 0.072 and 0.616 within important two-market structures. Secondly, it is demonstrated that the level of return and risk can be manipulated by varying the strictness of the shipping policy to meet the overall objectives of the decision-maker. Finally, it was found that one can minimize the risk of a particular two-market transaction by strategically grouping the product shipments.