Matching Items (17)
Filtering by

Clear all filters

136097-Thumbnail Image.png
Description
Increasing collaboration among employees is a top priority for many organizations today. How can we help companies and employees collaborate better? Through Innovation Space, our team Kioro has an opportunity to design and develop alternative solutions that will help achieve the idea. This paper discusses the fields of the five

Increasing collaboration among employees is a top priority for many organizations today. How can we help companies and employees collaborate better? Through Innovation Space, our team Kioro has an opportunity to design and develop alternative solutions that will help achieve the idea. This paper discusses the fields of the five disciplines including from Graphic Design, Industrial Design, Engineering, Sustainability, and Business. The scope and content is aimed at focusing on each role, his/her basic responsibility and some of the highlights of his/her work over the whole semester. The very interactive and engaging environment at Innovation Space has driven me to think about teamwork, interpersonal relationship, and self-evaluation. By observations of my team members, this paper covers a reflection with a list of solutions to improve my life. Innovation Space not only teaches me about new product development, but also has a significant impact behind and lead me to think about life.
ContributorsTao, Wing Yi (Author) / Peck, Sidnee (Thesis director) / Boradkar, Prasad (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2015-05
136334-Thumbnail Image.png
Description
Investment real estate is unique among similar financial instruments by nature of each property's internal complexities and interaction with the external economy. Where a majority of tradable assets are static goods within a dynamic market, real estate investments are dynamic goods within a dynamic market. Furthermore, investment real estate, particularly

Investment real estate is unique among similar financial instruments by nature of each property's internal complexities and interaction with the external economy. Where a majority of tradable assets are static goods within a dynamic market, real estate investments are dynamic goods within a dynamic market. Furthermore, investment real estate, particularly commercial properties, not only interacts with the surrounding economy, it reflects it. Alive with tenancy, each and every commercial investment property provides a microeconomic view of businesses that make up the local economy. Management of commercial investment real estate captures this economic snapshot in a unique abundance of untapped statistical data. While analysis of such data is undeniably valuable, the efforts involved with this process are time consuming. Given this unutilized potential our team has develop proprietary software to analyze this data and communicate the results automatically though and easy to use interface. We have worked with a local real estate property management and ownership firm, Reliance Management, to develop this system through the use of their current, historical, and future data. Our team has also built a relationship with the executives of Reliance Management to review functionality and pertinence of the system we have dubbed, Reliance Dashboard.
ContributorsBurton, Daryl (Co-author) / Workman, Jack (Co-author) / LePine, Marcie (Thesis director) / Atkinson, Robert (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Management (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
136506-Thumbnail Image.png
Description
The purpose of this thesis was to design a market entrance strategy for Company X to enter the microcontroller (MCU) market within the Internet of Things (IoT). The five IoT segments are automotive; medical; retail; industrial; and military, aerospace, and government. To reach a final decision, we will research the

The purpose of this thesis was to design a market entrance strategy for Company X to enter the microcontroller (MCU) market within the Internet of Things (IoT). The five IoT segments are automotive; medical; retail; industrial; and military, aerospace, and government. To reach a final decision, we will research the markets, analyze make versus buy scenarios, and deliver a financial analysis on the chosen strategy. Based on the potential financial benefits and compatibility with Company X's current business model, we recommend that Company X enter the automotive segment through mergers & acquisitions (M&A). After analyzing the supply chain structure of the automotive IoT, we advise Company X to acquire Freescale Semiconductor for $46.98 per share.
ContributorsBradley, Rachel (Co-author) / Fankhauser, Elisa (Co-author) / McCoach, Robert (Co-author) / Zheng, Weilin (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / School of International Letters and Cultures (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05
136740-Thumbnail Image.png
Description
Children today are being primed with technology at very young ages, leading to a more digitally focused lifestyle. Tangentially, today's digital culture has led to the increase of online shopping rather than in-store shopping. A group of students at Arizona State University's Innovation Space program, in partnership with Disney Consumer

Children today are being primed with technology at very young ages, leading to a more digitally focused lifestyle. Tangentially, today's digital culture has led to the increase of online shopping rather than in-store shopping. A group of students at Arizona State University's Innovation Space program, in partnership with Disney Consumer Products, set out to create a children's product that bridged the physical-digital gap, and encouraged outdoor activity. The result of their work was Blitz: a versatile, outdoor gaming console that brings traditional outdoor fun into the digital world. This thesis and paired creative project are an extension of the research and development done by the Blitz team. The purpose of this additional research is to discover how parents and children shop online in to design a website to market and sell the Blitz gaming system. Some of the topics covered include visual design, functionality, user interaction, and marketing tactics. The goal is not to develop advertising tactics to manipulate children, but to find the best ways to design for, and market children's products.
ContributorsPoindexter, Devin Alan (Author) / Fehler, Michelle (Thesis director) / Peck, Sidnee (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor)
Created2014-12
137637-Thumbnail Image.png
Description
The Axelrod Model is an agent-based adaptive model. The Axelrod Model shows the eects of a mechanism of convergent social inuence. Do local conver- gences generate global polarization ? Will it be possible for all dierences between individuals in a population comprised of neighbors to disappear ? There are many

The Axelrod Model is an agent-based adaptive model. The Axelrod Model shows the eects of a mechanism of convergent social inuence. Do local conver- gences generate global polarization ? Will it be possible for all dierences between individuals in a population comprised of neighbors to disappear ? There are many mechanisms to approach this issue ; the Axelrod Model is one of them.
ContributorsYu, Yili (Author) / Lanchier, Nicolas (Thesis director) / Kang, Yun (Committee member) / Brooks, Dan (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Finance (Contributor)
Created2013-05
137371-Thumbnail Image.png
Description
The goal of this thesis is to motivate college students to be financially aware and drive them toward attainable financial goals and freedom through budgeting. By providing a foundation of financial knowledge, they can begin to make intelligent decisions about their purchases. After they learn about their current spending habits,

The goal of this thesis is to motivate college students to be financially aware and drive them toward attainable financial goals and freedom through budgeting. By providing a foundation of financial knowledge, they can begin to make intelligent decisions about their purchases. After they learn about their current spending habits, students can soundly determine what they have monetarily and then how to allocate that money appropriately. The paper outlines different categories these students should focus on fiscally, like rent and housing as the largest expenses and entertainment expenses as a common pitfall in a college student's budget. Constant financial awareness is reiterated throughout, indicating this is a day-to-day skill to develop. The thesis finally ties up with discussing financing options for college and life in general, with student loans, credit cards, and savings.
ContributorsSchachte, Jessica Linn (Author) / Budolfson, Arthur (Thesis director) / Hoffman, David (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2013-12
136665-Thumbnail Image.png
Description
The Confessions of a College Entrepreneur is an honors project with the goal of revealing the business and marketing strategies that Charles Crawford used to create multiple successful companies. It's a collection of personal stories, book notes, millionaire interviews, and experiences that Charles had over the past 4 years of

The Confessions of a College Entrepreneur is an honors project with the goal of revealing the business and marketing strategies that Charles Crawford used to create multiple successful companies. It's a collection of personal stories, book notes, millionaire interviews, and experiences that Charles had over the past 4 years of intense business experience and research across multiple industries. Charles wants college students and business owners to succeed in business ventures and life in general. This creative thesis project is the map for how to do just that.
ContributorsCrawford, Charles Joseph (Author) / Budolfson, Arthur (Thesis director) / Giles, Charles (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2014-12
147645-Thumbnail Image.png
Description

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
RIIIIING. The class bells ring to signal the end of the school day for Timmy and his classmates. Mrs. Clark, the boys’ sixth grade teacher, is in the middle of a vocabulary lesson, but as soon as the bell rings everyone rushes out the door. She sets

RIIIIING. The class bells ring to signal the end of the school day for Timmy and his classmates. Mrs. Clark, the boys’ sixth grade teacher, is in the middle of a vocabulary lesson, but as soon as the bell rings everyone rushes out the door. She sets her chalk down on the desk and waves goodbye to everyone as they head home. Timmy and his best friend, Ben, hop on their bikes and start their ride home.
Every day, the boys drive past Merlin’s Magic Shop on the way back from school. Today when Timmy and Ben ride past the store, Timmy sees something new in the window. It appears to be an old box. Wooden, a little worn in, but it still looks like something special.
The boys go inside to ask someone about the box. Towards the back of the store there is an older gentleman stocking the shelves. The gentleman sees the boys looking his way and he begins to head towards Timmy and Ben.
“How do you do?” the man asks. He can tell they are stealing glances at the box, too nervous to ask about it. He points towards the object in the window and says, “You know, that was my old magic box when I was a boy. I thought it looked like it might need a new home.”

Timmy thinks for a moment. The man seems a bit odd—could this really be magic or is he tricking us? By the way he talks, it’s as if he already knows what people are thinking. He knew right away that we wanted that box. He can be standing in the middle of an aisle and in the blink of an eye, he’s gone! Is he magic himself? The store is odd too. You won’t find more than two of an item in there. The store is full of wands and hats and capes, but none of them look the same. Nothing comes in packages or pretty boxes—everything comes as it is, as if it has been used before.
ContributorsNictakis, Alexandra Marie (Author) / LaCroix, Kristin (Thesis director) / Sadusky, Brian (Committee member) / Morrison School of Agribusiness (Contributor, Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
132857-Thumbnail Image.png
Description
Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models

Predictive analytics have been used in a wide variety of settings, including healthcare,
sports, banking, and other disciplines. We use predictive analytics and modeling to
determine the impact of certain factors that increase the probability of a successful
fourth down conversion in the Power 5 conferences. The logistic regression models
predict the likelihood of going for fourth down with a 64% or more probability based on
2015-17 data obtained from ESPN’s college football API. Offense type though important
but non-measurable was incorporated as a random effect. We found that distance to go,
play type, field position, and week of the season were key leading covariates in
predictability. On average, our model performed as much as 14% better than coaches
in 2018.
ContributorsBlinkoff, Joshua Ian (Co-author) / Voeller, Michael (Co-author) / Wilson, Jeffrey (Thesis director) / Graham, Scottie (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05