Matching Items (261)
Description
Our research encompassed the prospect draft in baseball and looked at what type of player teams drafted to maximize value. We wanted to know which position returned the best value to the team that drafted them, and which level is safer to draft players from, college or high school. We decided to look at draft data from 2006-2010 for the first ten rounds of players selected. Because there is only a monetary cap on players drafted in the first ten rounds we restricted our data to these players. Once we set up the parameters we compiled a spreadsheet of these players with both their signing bonuses and their wins above replacement (WAR). This allowed us to see how much a team was spending per win at the major league level. After the data was compiled we made pivot tables and graphs to visually represent our data and better understand the numbers. We found that the worst position that MLB teams could draft would be high school second baseman. They returned the lowest WAR of any player that we looked at. In general though high school players were more costly to sign and had lower WARs than their college counterparts making them, on average, a worse pick value wise. The best position you could pick was college shortstops. They had the trifecta of the best signability of all players, along with one of the highest WARs and lowest signing bonuses. These were three of the main factors that you want with your draft pick and they ranked near the top in all three categories. This research can help give guidelines to Major League teams as they go to select players in the draft. While there are always going to be exceptions to trends, by following the enclosed research teams can minimize risk in the draft.
ContributorsValentine, Robert (Co-author) / Johnson, Ben (Co-author) / Eaton, John (Thesis director) / Goegan, Brian (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this project is to provide our client with a tool to mitigate Company X's franchise-wide inventory control problem. The problem stems from the franchises' initial strategy to buy all inventory as customers brought them in without a quantitative way for buyers to evaluate the store's inventory needs. The Excel solution created by our team serves to provide that evaluation for buyers using deseasonalized linear regression to forecast inventory needs for clothing of different sizes and seasons by month. When looking at the provided sales data from 2014-2016, there was a clear seasonal trend, so the appropriate forecasting model was determined by testing 3 models: Triple Exponential Smoothing model, Deseasonalized Simple Linear Regression, and Multiple Linear Regression.The model calculates monthly optimal inventory levels (current period plus future 2 periods of inventory). All of the models were evaluated using the lowest mean absolute error (meaning best fit with the data), and the model with best fit was Deseasonalized Simple Linear Regression, which was then used to build the Excel tool. Buyers can use the Excel tool built with this forecasting model to evaluate whether or not to buy a given item of any size or season. To do this, the model uses the previous year's sales data to forecast optimal inventory level and compares it to the stores' current inventory level. If the current level is less than the optimal level, the cell housing current value will turn green (buy). If the currently level is greater than or equal to optimal level or less than optimal inventory level*1.05, current value will turn yellow (buy only if good quality). If the current level is greater than optimal level*1.05 current level will be red (don't buy). We recommend both stores implement a way of keeping track of how many clothing items held in each bin to keep more accurate inventory count. In addition, the model's utility will be of limited use until both stores' inventories are at a level where they can afford to buy. Therefore, it is in the client's best interest to liquidate stale inventor into store credit or cash In the future, the team would also like to develop a pricing model to better meet the needs of the client's two locations.
ContributorsUribes-Yanez, Diego (Co-author) / Liu, Jessica (Co-author) / Taylor, Todd (Thesis director) / Gentile, Erica (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / School of International Letters and Cultures (Contributor) / School of Life Sciences (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This paper entitled "An Analysis of Wage Stagnation and Inequality over the Past Half Century" is a literature review that examines and analyzes three main studies by Robert Lawrence, David Card and John DiNardo, and the Economic Policy Institute, and uses other works by a variety of economists to supplement that analysis. The paper aims to understand and precisely define the issue of wage stagnation and inequality and distinguish between the two. To do this, the paper looks at which groups are primarily affected, the different types of inequality that exist, in which time periods those types of inequality operate, any potential causes of the issue, and any potential solutions. The studies all agree that wage stagnation and inequality exist and each looks at middle earners \u2014 one looks at blue-collar workers and the other two choose the median earner \u2014 either way, the focus of the studies are those earners in the middle of the earnings distribution. Each study varies in its focus of the potential causes and solutions to the issue. Robert Lawrence, an international trade theorist, looks at the problem of wage stagnation and inequality through the lens of globalization and specifically if free trade is a key contributor. David Card, a labor economist, and John DiNardo look at the issue through the lens of technology change, specifically the Skills-Biased-Technological Change (SBTC) Hypothesis and question if technological advances are what caused this stagnation and inequality. The Economic Policy Institute, a left-leaning think tank, look at this issue through the lens of policy and question if poor policy regimes over the past half century have allowed wage stagnation and inequality to thrive. Overall, the three studies examined are similar enough in time period and subject studied, yet different enough in the lens through which the issue is viewed to provide a well-rounded summary and analysis of current literature by prominent economists on wage stagnation and inequality.
ContributorsFeldman, Rachel Erin (Author) / Mendez, Jose (Thesis director) / Hill, John (Committee member) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
This Creative Project contains a short movie that is comprised of interviews with various business owners and entrepreneurs based in Arizona. The purpose of this project was originally to explore "how businesses finance their initial venture" but quickly evolved into open-ended interviews. Originally, one of the listed goals for the project was to ensure that the movie be entertaining for the viewer. In order to gain the richest experience, it was decided that at least 8-10 entrepreneurs be interviewed for a 25 minute video. Since the creator of the video had no prior videography experience, it was assumed to be feasible \u2014 but in order to maintain the integrity of the interviews, and in order to provide the viewer with a better background, the format was changed to a 44 minute movie with 5 featured businesses, though more than 30 businesses were considered. It became clear that the diversity of available interviewees and the complexity of the businesses and financing methods made it impractical to feature such a technical topic in the movie. Balancing the entertainment value of the film and its functional, educational purpose proved to be one of the challenges for the completion of the project. Each interview stands alone its own right, but it's highly recommended that the viewer watch the entire feature. The businesses are featured in the following order: DryClean U.S., Jeffrey Rivera (sole-proprietor), Arizona Hops and Vines, Rune Wines, and The Duquesne House Inn and Gardens. The viewer will find that the businesses featured include both service-based businesses and product-based businesses. In all, over 300 hours of planning, filming, writing, and video-editing contributed to successful completion of this project.
ContributorsElliott, Spencer William (Author) / Trujillo, Rhett (Thesis director) / Peck, Sidnee (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Today, statistical analysis can be used for a variety of different reasons. In sports, more particularly baseball, there is an increasing necessity to have better up to date analysis of players and their performance as they attempt to make it to the Major League. Athletes are constantly moving around within one or more organizations. Since they are moving around so often, clubs spend an ample amount of time determining whether or not it is for their benefit and betterment of the organization as a whole. The objective of this thesis is to utilize previous baseball statistics in StataSE to determine performance levels of players who played at the major league level. From these, regression-based performance models will be used to predict whether or not Major League Baseball organizations effectively and efficiently move players around from their farm systems to the big leagues. From this, teams will be able to see whether or not they in fact make the right decisions during the season. Several tasks were accomplished to achieve this outcome: 1. First, data was obtained from the Baseball-Reference statistics database and sorted in google sheets in order for me to perform analysis anywhere. 2. Next, all 1,354 players that entered the major leagues in the year 2016, were assessed as to whether or not they started in a given league and stayed, got promoted from the minor leagues to the majors, or demoted from the majors to the minor leagues. 3. Based off of prior baseball knowledge and offensive performance quantifications only, players' abilities were evaluated and only those who were called up or sent down were included in the overall analysis. 4. The statistical analysis software application, StataSE, was used to create a further analyze if any of the four major regression assumptions were violated. It was determined that logistic regression models would produce better results than that of a standard, linear OLS model. After testing multiple models, and slightly refining my hypothesis, the adjustments made developed a more accurate analysis of whether organizations were making an efficient move sending a player down to promote another player up. After producing the model, I decided to investigate at what level a player was deemed to be no longer able to perform at a Major League Baseball level.
ContributorsHayes, Andrew Joseph (Author) / Goegan, Brian (Thesis director) / Marburger, Daniel (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
The purpose of this research project is to develop a recommendation for Company X on the strategies it should use to enter a new market. This was done through the compilation and interpretation of data from the company and the construction of a financial model capable of analyzing our different proposed strategies. Company X is a leading producer of silicon chips which seeks to remain one of the leading forces in new technologies. Currently Company X wants to assess the value and risks associated with introducing a new packaging technology (FO-WLP) into their products either by developing the technology in-house or outsourcing production. The first portion of the research consisted mostly of gathering the necessary business acumen to be able to to fully understand our research findings. Market research was conducted to discover what competitors exist and what inputs should be included for the model with help from employees at Company X. The research then proceeded with the identification of three possible strategies and construction of financial models to analyze these options. Using the results from our analysis we were able to develop our recommendation for Company X and lay out the next steps which the Company needs to take before investing in the new technology.
ContributorsRubenzer, Jack (Co-author) / Galaviz, Roberto (Co-author) / Mariani, Stephanie (Co-author) / Mecinas, Freddy (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.
ContributorsBadger, Mathew Bernard (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This research project examines the craft brewing industry and its position in the North American market. Specifically, this research will highlight the most important aspects of the product market, cost structure, market trends, as well as an assessment of the viability of several modes of entry. The data and analysis provided indicates that the industry is promising and poised to grow in comparison to many other sectors within the alcoholic beverages industry, as demand for differentiated craft beer products is relatively strong. The continued existence of craft brewing would not be made possible without the devotion and dedication of individuals simply interested in brewing recipes at home. Although the process of brewing remains relatively traditional, the paper will discuss the possibilities to diversify as a successful craft brewing brand due to consumers' willingness and curiosity to try new beverages. Production details and supply chain processes will be discussed to fully understand the fruitful beginnings of a local brewer to a large scale company that distributes nationwide. Nonetheless, prominent risks include extensive regulatory hurdles ranging from local to federal levels and threats from significant established competitors. These competitors and their business activities will be heavily discussed as it pertains to the question of whether entering the market is a smart business decision. The purpose of this research is to provide potential business owners and investors the strength and knowledge to engage in the craft brewing industry. In essence, the business decision to participate in the craft brewing industry is met with encouragement from an avid consumer base, collaboration with competitors, and an undying passion to brew quality beer for consumption.
ContributorsKnapp, Kurt (Co-author) / Wu, Katherine (Co-author) / Nguyen, Kelley (Co-author) / Budolfson, Arthur (Thesis director) / Bhattacharya, Anand (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Supply Chain Management (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / Hugh Downs School of Human Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Behind the United Kingdom's unexpected decision to leave the European Union was a resurgence in nationalism caused by a range of issues including economics, cultural change, and rising anti-EU sentiment. Economic factors include globalization and competition with foreign workers. The culture and immigration section discusses the backlash against post-materialist cosmopolitan values and demographic changes caused by immigration. The relationship between the United Kingdom and the European Union is analyzed using concepts discussed in Michael Hechter's Alien Rule (2013). In addition to these factors, we theorize that rising global tension and the interconnectedness of European countries were exploited by nationalist forces to strengthen the backlash against both the European Union and liberal cosmopolitan values in general.
ContributorsJan, Thomas (Co-author) / Akers, Blake (Co-author) / Bustikova, Lenka (Thesis director) / Hechter, Michael (Committee member) / Department of Economics (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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