This Thesis Project was completed to gain experience in how to create a viable business concept pitch as part of the start-up venture process. During the course of the project the company name–“Vibes Clothing”–and business proposition–“To provide fashion-minded athletic individuals with stylish, versatile, and fully functional luminescent clothing.”–were conceived. However, to further develop the company idea into a viable business concept, market analysis, and customer research were conducted. The identified market conditions and customer desires were then utilized to refine Vibes Clothing's logo, brand, and product. These business and design considerations were then strategically implemented in a men’s-model luminescent clothing prototype. As a further part of ‘the creation of a business concept pitch’–typical of one given at a pitch competition or to a group of investors–a business executive summary and funding pitch presentation were also created. Ultimately, this Thesis Project successfully culminated as a formal business concept pitch; wherein a functional display prototype, business executive summary, and funding pitch presentation were all developed.
Purpose: This paper serves to illustrate the risks that affect multinational organizations during this new era of global production and increased supply chain complexity. This paper also strives to showcase the benefits of conducting a Network Optimization analysis on a firm’s logistics system including but not limited to reducing the impact of supply chain market and operational risk, improving efficiency, and increasing cost savings across the organization. Approach: This paper will have two main sections beginning with an in depth look into the theory supporting supply chain logistics network optimizations. Through this literature review, the best practices in the industry will be compared to risk mitigation methodology to determine an analytical process that can be applied to companies considering conducting a network optimization. The second stage of this paper takes a clinical look at the aerospace industry and the implementation process of a Logistics Network Optimization at an industry leader to ultimately recommend additional considerations they should implement into their process. Recommendation: To ensure the effective adoption of a network optimization in the aerospace industry, and other manufacturing industries, the maintenance of logistics data and creation of long term 3PL partnerships are needed for success. It is also important to frame a network optimization not as an operational project, but rather a critical business process aimed to mitigate risk within the supply chain though a four-stage risk identification process.
Out of all fifty states, Arizona boasts the greatest number of sunny days, which comes as no surprise to its residents. According to a CDC data report, Arizona has an average of nearly 286 total days of sun exposure. This sheer amount of sunlight could lead to the assumption that Arizona is also leading the way in harvesting this solar energy, but that isn’t the case. According to the S.E.I.A (Solar Energies Industries Association), Arizona is the fifth largest solar producer, while California comes in first by a significant lead. What happened in the history of California that caused this disparity in solar production that we see today and should Arizona follow in its footsteps? In this video essay, I consider the historical impact that climate change has had on California that directly led them to adopt environmental policies, such as wildfires, droughts, smog, and sea-level rise. These events threaten California specifically, due to its uniquely high population, geography, and climate, and they will continue to get worse as climate change subsists. Due to the persistent threat that they face, California was forced to pass environmental regulations that ultimately ended up developing them into a leader in environmental protectionism. Arizona, while also facing droughts, high heat, and poor air quality, has had its environmental progress greatly hindered by a lack of cohesive action at the State level. Based on information from the U.S Energy Information Agency, over the past 30 years, Arizona has been one of, if not the highest, carbon-dioxide emitters in the West. For a time there was some political response to this fact, but eventually, its momentum was halted in favor of economic challenges and continually stunted by mixed agendas, which polarized Arizona parties even more and left city governments to deal with climate change on their own. With solar being the cheapest means of clean energy production, it seems unavoidable that it will develop eventually. Solar becoming a topic of such polarization in Arizona makes it much more challenging, as it can only progress with bipartisan support, but climate change is inevitable so discourse has to be the first step towards meaningful change.
The current Solid-State Electrolyte (SSE) used in Li-ion batteries are limited by their current production methods (i.e., die-pressing; tape casting), planar geometries and random porosities. This constrains their use for mass production in manufacturing plants. 3D-printing of SSEs, however, is a new, highly-researched method that shows promise in expanding beyond the laboratory to more large-scale industrial production as rapid prototyping takes place. Indeed, laboratory studies to date suggest that SSE technology is safer than current production methods and provides a safe high energy solid-state battery. For SSE technology to become a reality though, it must be scalable and financially feasible. Therefore, this thesis aids to bridge the gap between laboratory studies and commercialization by examining the financial feasibility of adopting this technology for a hypothetical battery manufacturing plant. In doing this, I develop a model of the incremental net cash flows, and subsequently the Net Present Value (NPV), from such an enterprise. If the present value of future cash flows from the enterprise are anticipated to be greater than the investment costs, the NPV is positive and the investment in this new technology would be considered instantaneously value enhancing and thus financially feasible. However, future cash flows are highly uncertain, which brings into question financial feasibility in a risky environment. To address the riskiness of future cash flows, I model three risk factors: the cost of raw materials, the potential growth in battery sales, as well as the potential mark-up (profit margin) of the SSE enterprise. Using Monte Carlo simulation (MCS) I model the incremental cash flows considering these risk factors and derive probabilistic assessments of NPV. My analysis suggests that despite the uncertainty caused by the volatility of raw metal prices, assumptions on price mark-up, and uncertain market demand for Li-ion batteries, there is a high probability of an investment in SSE batteries being financially feasible. Future research should consider the value of real options (optionality embedded in tangible investments) as traditional NPV analysis may underestimate the potential value of an investment in the presence of uncertain cash flows, especially if management has the ability to respond to the uncertainty.
University researchers assume an important role in innovation, particularly as a result of the Bayh-Dole Act, which allowed universities to license inventions funded by federal research dollars, to private industry. Aligning the incentives to innovate at the university level with the incentives to adopt downstream, I show that non-exclusive licensing is preferred under both fixed fee and royalty licensing. Finding support for non-exclusive licensing is important as it provides evidence that the concept underlying the Bayh-Dole Act has economic merit, namely that the goals of university-based researchers are consistent with those of society, and taxpayers, in general.
After licensing, new products enter the diffusion process. Using a case study of small holders in Mozambique, I observe substantial geographic clustering of new-variety adoption decisions. Controlling for the other potential factors, I find that information diffusion through space is largely responsible for variation in adoption. As predicted by a social learning model, spatial effects are not based on geographic distance, but rather on neighbor-relationships that follow from information exchange. My findings are consistent with others who find information to be the primary barrier to adoption, and means that adoption can be accelerated by improving information exchange among farmers.
Ultimately, innovation is only useful when adopted by end consumers. Consumers’ choices of new products are determined by many factors such as personal preferences, the attributes of the products, and more importantly, peer recommendations. My experimental data shows that peers are indeed important, but “weak ties” or information from friends-of-friends is more important than close friends. Further, others regarded as experts in the subject matter exert the strongest influence on peer choices.
