Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- All Subjects: Supply Chain Management
Description
This paper seeks to provide a comprehensive consideration of the full implications of engaging in real earnings management through 1.) an in-depth literature review of selected studies concerning real earnings management, 2.) supplemental interviews to consider real earnings management from various perspectives including supply chain management, accounting and management, as well as 3.) a final framework of the considerations that must be made to fully understand the implications of real earnings management. Though the ethics of real earnings management will be discussed, no determination will be made to support or discredit its use. The methods of real earnings management are plentiful and would benefit most from being judged on a case-by-case basis before coming to any firm conclusions.
ContributorsWestgard, Kristy Kayan (Author) / Maltz, Arnold (Thesis director) / Leckey, Andrew (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Amazon Prime Air is the innovative new service that promises automated drone delivery in thirty minutes or less. The platform has not yet been brought to market, but there is a plethora compelling data available that suggests it will be a unique and highly disruptive business segment for Amazon. The aim of this thesis is to analyze the framework laid out by Amazon.com, Inc. for their anticipated Prime Air drone delivery platform, and offer our recommendations for what steps the e-commerce giant should take moving forward. Following a brief recap of the company's founding and a breakdown of its various business segments, we will begin our analysis by examining past strategic decisions that Amazon has made which have directly contributed to their current market position. It is our goal to construct a narrative of what events lead the company to begin developing a fleet of automated delivery vehicles. Following this history lesson, we will review and criticize the existing elements of Amazon's Prime Air platform, and explore any possible alternatives that they could have taken to optimize the development of this exciting new technology. Criticisms will touch upon elements such as cost efficiencies, brand management, and utilization of infrastructure to name but a few. These criticisms will be based upon data sourced from Amazon's available material as well as comments from market analysts and journalists. The culminating element of our analysis will be to offer our professional recommendations as to what we believe the next logical steps that Amazon should take for their Prime Air platform. These recommendations will be informed by our criticisms and our understanding of Amazon as a corporation. This chapter will be largely concerned with guiding Amazon towards a fully optimized drone delivery platform. Our recommendations will be based upon our extensive experience concerning cost and logistical efficiencies, as well as our knowledge of Amazon as a corporation. We will offer succinct suggestions for Amazon's immediate needs as well as long-term solutions to lingering obstacles that they may face.
ContributorsMcCaleb, Nicholas (Co-author) / Glynn, Reagan (Co-author) / Choi, Thomas (Thesis director) / Rogers, Dale (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this thesis is to gain a greater understanding of Ph. D research and how general research in the field of supply chain management and operations is being conducted in 2017. In order to gain a greater understanding, this thesis contains summaries and personal perspectives on four different supply chain management and operations seminars from visiting professors. There is also an expanded examination of the research area from the fourth seminar, process compliance. Multiple literature sources were used to construct a perspective on process development, process standardization, and process compliance origins and current state.
ContributorsBerg, Paul Joseph (Author) / Taylor, Todd (Thesis director) / Printezis, Antonios (Committee member) / Department of Finance (Contributor) / Hugh Downs School of Human Communication (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The original goal of this project was to create a case study that would help figure out a way to figure out how to get better food, and more food, to areas where there is little to no logistical infrastructure in place. Specifically, the Navajo Nation in North Eastern Arizona where the road infrastructure is not as developed and without enough stores to saturate the region. A partnership with Peddler's Son Produce, a company who was hoping to expand their distribution services to North-Eastern Arizona and other lesser-served areas across Arizona, allowed for the creation of Logistical Route Simulations which allowed the expanse of what areas could be reached with cross-docking stations in various areas. After all the information of the route simulations was compiled, it was abstracted to a case study. There is no one solution of how to expand a company so what the case study does is give students all of the information for costs and potential routes and then tells them to decide how many stops should be taken at each city in each route, which routes should be taken, and which routes shouldn't, and which cross-docking station, or multiple cross-docking stations the company should choose. The Case Study also includes teaching notes for the professor doing it which have the completed logistic route simulations and all the data and information that was learned but not included in the case study. This case study can now be used to help others figure out how to create profitable logistics routes which serves the original goal of the project.
ContributorsFierro, Leticia (Author) / Maltz, Arnold (Thesis director) / Kellso, James (Committee member) / Department of Supply Chain Management (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this research was to identify various problems within value analysis teams as well as provide solutions that will help to better align the agents involved in the value analysis process. As healthcare costs continue to rise, and hospital reimbursements fall, value analysis teams will play an even more pivotal role in the success of healthcare organizations. Also, the industry trend toward value-based care is highlighting the importance of these teams. However, interdisciplinary value analysis teams bring to light the underlying agency issue that exists between physicians and hospital administrators, and the general misalignment of values between the participants. In order for these teams to function properly, it is inherent that all of the professionals involved align their incentives. For this study, I studied relevant literature pertaining to value analysis, attended relevant speakers, and then performed interviews with several different professionals involved in healthcare value analysis. I organized and coded this data using the Grounded Theory approach, and was able to identify the underlying issues within these teams. I then created a typology of value analysis teams, based on my respondents, where I segment them into four tiers based on their utilization of data, and their level of physician involvement. Finally, I identified three distinct strategies for developing value analysis teams to implement in order to increase their efficiency and overall success.
ContributorsLindgren, Thomas John (Author) / Schneller, Eugene (Thesis director) / Choi, Thomas (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The main compelling question to this thesis was to determine if there is a relationship between the amount of sensitivity received in ones college experience to how easily one transitions to a full time role upon graduation. Furthermore to determine if there is measurable difference, what can educators do to close the gap to better serve students. The conduction of this thesis was done through a survey via Google Forms targeting three groups. The three groups were Alpha Kappa Psi at Arizona State University, Delta Sigma Pi at Penn State University and the Supply Chain Development Program at Dell in Austin, Texas. These groups allowed for a wide range of demographics in participants from all over the US and with many different business majors. There were two main sections in the survey, personal experiences with professors and personal experiences with peers. Both asked multiple different hard data questions (multiple choice, numerical rating, drop down) and short answer questions (open ended.) The goal was to gauge participant's experiences with their professors and their peers in terms of sensitivity and see if it helped or hindered their experience transitioning to a full time role. The results for the hard data indicated that there was a significant correlation between better professors being more sensitive and worse professors exercising very little sensitivity. The open ended responses indicated that students preferred professors that gave less sensitive and academic approach and more real life experiences to help them transition to their job. There were many issues to if the open-ended responses specifically addressed sensitivity versus other topics. Three other topics that were clearly alternately identified were class behavior, job relevancy, and professor influence/resistance. Overall from the research completed in this study it can be concluded that sensitivity does not significantly affect the performance in the transition from college to working in a profession environment.
ContributorsGhinos, Christina Eva (Author) / Kellso, James (Thesis director) / Thorn, Taylor (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This thesis looks at a short-term solution to the truck driver shortage: transitioning U.S. military veterans into truck driver roles. Due to the adoption of self-driving trucks, the shortage is projected to end in 2022; however, freight companies may not be able to keep up with growing freight volumes until then. In the meantime, providing commercial driver's license (CDL) training on military bases has the potential to alleviate the shortage and veteran unemployment. A number of journal articles were read and interviews were conducted to determine the practicality of this solution. This thesis includes those findings and a number of considerations that should be made before implementing it.
ContributorsPatel, Nikhil (Author) / Kellso, James (Thesis director) / Maltz, Arnold (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Digital identification technology is the unsung hero of the LEAN manufacturing, Six sigma quality, and supply chain management movements. By tethering the physical to the digital world digital identification has helped usher industry into the information age. Today this technology continues to become more pervasive and advanced, in the future it is likely that it will have an even larger role to play. In this paper ten sources of current (last 12 months) academic literature will be reviewed in conjunction with two GE cases taken from personal experience in order to better understand the current applications and future trajectory of digital identification. The basis of this paper will be derived from understanding how the most prevalent form of digital identification, barcode is used to increase the efficiency and effectiveness of internal and external business operations. This "current state" knowledge will act as a benchmark to understand the potential diffusion and impact of future digital tracking technologies. The exploration of "up and coming" technologies will lead into a RFID technology deep dive encompassing its current applications and the frictions preventing widespread (barcode scale) implementation. In conclusion the "future state" of how RFID and more complex embedded communication devices will expand the scope of benefits granted by digital identification through a phenomenon known as the internet of things, along with the factors effecting its adoption will be discussed.
ContributorsCampbell, Ross Bradley (Author) / Printezis, Antonios (Thesis director) / Taylor, Todd (Committee member) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This thesis, through a thorough literature and content review, discusses the various ways that data analytics and supply chain management intersect. Both fields have been around for a while, but are incredibly aided by the information age we live in today. Today's ERP systems and supply chain software packages use advanced analytic techniques and algorithms to optimize every aspect of supply chain management. This includes aspects like inventory optimization, portfolio management, network design, production scheduling, fleet planning, supplier evaluation, and others. The benefit of these analytic techniques is a reduction in costs as well as an improvement in overall supply chain performance and efficiencies. The paper begins with a short historical context on business analytics and optimization then moves on to the impact and application of analytics in the supply chain today. Following that the implications of big data are explored, along with how a company might begin to take advantage of big data and what challenges a firm may face along the way. The current tools used by supply chain professionals are then discussed. There is then a section on the most up and coming technologies; the internet of things, blockchain technology, additive manufacturing (3D printing), and machine learning; and how those technologies may further enable the successful use of analytics to improve supply chain management. Companies that do take advantage of analytics in their supply chains are sure to maintain a competitive advantage over those firms that fail to do so.
ContributorsCotton, Ryan Aaron (Author) / Taylor, Todd (Thesis director) / Arora, Hina (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
During the summer of 2016 I had an internship in the Fab Materials Planning group (FMP) at Intel Corporation. FMP generates long-range (6-24 months) forecasts for chemical and gas materials used in the chip fabrication process. These forecasts are sent to Commodity Mangers (CMs) in a separate department where they communicate the forecast and any constraints to Intel suppliers. The intern manager of the group, Scott Keithley, created a prototype of a model to redefine how FMP determines which materials require a forecast update (forecasting cadence). However, the model prototype was complex to use, not intuitive, and did not receive positive feedback from the rest of the team or external stakeholders. This thesis will detail the steps I took in identifying the main problem the model was intended to address, how I approached the problem, and some of the major iterations I took to modify the model. It will also go over the final model dashboard and the results of the model use and integration. An improvement analysis and the intended and unintended consequences of the model will also be included. The results of this model demonstrate that statistical process control, a traditionally operational analysis, can be used to generate a forecasting cadence. It will also verify that an intuitive user interface is vital to the end user adoption and integration of an analytics based model into an established process flow. This model will generate an estimated time savings of 900 hours per year as well as giving FMP the ability to be more proactive in its forecasting approach.
ContributorsMatson, Rilee Nicole (Author) / Kellso, James (Thesis director) / Keithley, Scott (Committee member) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12