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- All Subjects: Innovation
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Description
Currently, Arizona State University's West Campus offers students a Bachelor's of Science degree in Forensics. This degree program has been at ASU's West campus for over three years now and is at its capacity of 300 students due to limitations on lab space. In order to support the growth and provide students with a valuable experience, the Math and Natural Sciences department seeks to create a "fee-for-service" enterprise within the Forensics division. This new lab called the Arizona State University Forensic Science Center (ASU-FSC) would serve city, county, state, and federal government agencies. The mission of the ASU-FSC is to provide robust, accurate and efficient forensic services while leading innovation in research and education in forensics for Arizona, the Southwest and the country. The School of Natural Science and Mathematics has sought help from W. P. Carey School of Business students to analyze the possibility of adding a Forensics fee-for-service lab to ASU West campus. The deliverables from this report will provide a comprehensive marketing, supply chain and financial review of all aspects of the business, and will aid in the decision making process for the creation of the Arizona State University Forensic Science Center.
ContributorsBlackburn, Amy (Co-author) / Snyder, Emily (Co-author) / Dong, Tim (Co-author) / Trujillo, Rhett (Thesis director) / Ferry, Lara (Committee member) / W. P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
In a global environment, innovation has become especially important to remain competitive in the market. Many factors affect the rate of innovation. Specifically, national culture significantly impacts a nation's ability to innovate. Using Hofstede's cultural dimensions [Power Distance, Individualism, Masculinity, Uncertainty Avoidance], this research attempts to explain a culture's effects on innovation. Based on data from the Organization for Economic Cooperation and Development (OECD), countries showing higher levels of innovation correlate with better quality of life and profitability amongst corporations in countries. Organizations can use the correlations identified between each of Hofstede's frameworks to improve company culture and increase rates of innovation. A low Power Distance and Uncertainty Avoidance coupled with an Individualistic culture had the largest positive effect on innovation.
ContributorsMccormick, Alysa Lauren (Author) / Lee, Peggy (Thesis director) / LePine, Marcie (Committee member) / W. P. Carey School of Business (Contributor, Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Nextrek is designed to motivate people to play a part in Adidas' sustainability efforts and in the improvement of their city. The program is rooted in the idea that most cities are producing and holding more waste than is sustainable and the health of its citizens is suffering. According to a 2010 study done by the Department of the Interior, Americans throw away 300 million pairs of shoes every year (waste306.com). We will help Adidas implement a closed-loop system where items that are donated by consumers are broken down into raw materials and used to manufacture new shoes. These shoes will be sold exclusively in the city where the materials are collected and will have an aesthetic design that captures the spirit of that city. Consumers will be required to donate materials in order to purchase the shoes and can receive discounts for excess donations. Thus, the shoes provide an incentive for people to contribute to the closed-loop system and create a sense of pride and camaraderie among those who have participated in the program. We hope to inspire people to be a part of a cycle that reduces the amount of waste sent to the landfill in their city. By saving their city, they get to wear their city.
ContributorsGoin, Nicholas M. (Author) / Trujillo, Rhett (Thesis director) / Montoya, Tara (Committee member) / Department of Finance (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The topic of our project "Innovation and the City of Tomorrow Through a Supply Chain Perspective" derives from the fields of Innovation, Supply Chain Management, and Public Policy. Many people ask themselves about the future, how will it look? To answer this question, we conducted research about how the city of Tempe, in Arizona, can utilize emerging technology to address its societal needs by the year 2035. With an expected 35 percent increase in population, the city will need to find ways to house, transport, and provide access to the basic needs of their constituents. To tackle these problems, we considered innovative technologies and trends and analyzed their outcomes through the magnifying glass of supply chain, offering insight into how these technologies are disrupting their respective industries and most importantly, who benefits and who loses. Because the topic is so broad, we have decided to focus on addressing societal needs that are essential for Tempe to satisfy the needs of their constituents as they attempt to become one of the most thriving cities in America. Those critical needs are: residential development, electricity needs, and transportation.
ContributorsSosa, Gilberto (Co-author) / Sosa Mendoza, Homero (Co-author) / Trujillo, Rhett (Thesis director) / Kellso, James (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Abstract: The Ultimate Fighting Championship or UFC as it is commonly known, was founded in 1993 and has quickly built itself into the world's foremost authority on all things MMA (mixed martial arts) related. With pay-per-view and cable television deals in hand, the UFC has become a huge competitor in the sports market, rivaling the popularity of boxing for almost a decade. As with most other sports, the UFC has seen an influx of various analytics and data science over the past five to seven years. We see this revolution in football with the broadcast first down markers, basketball with tracking player movement, and baseball with locating pitches for strikes and balls, and now the UFC has partnered with statistics company Fightmetric, to provide in-depth statistical analysis of its fights. ESPN has their win probability metrics, and statistical predictive modeling has begun to spread throughout sports. All these stats were made to showcase the information about a fighter that one wouldn't typically know, giving insight into how the fight might go. But, can these fights be predicted? Based off of the research of prior individuals and combining the thought processes of relevant research into other sports leagues, I sought to use the arsenal of statistical analyses done by Fightmetric, along with the official UFC fighter database to answer the question of whether UFC fights could be predicted. Specifically, by using only data that would be known about a fighter prior to stepping into the cage, could I predict with any degree of certainty who was going to win the fight?
ContributorsMoorman, Taylor D. (Author) / Simon, Alan (Thesis director) / Simon, Phil (Committee member) / W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis project has been conducted in accordance with The Founder’s Lab initiative which is sponsored by the W. P. Carey School of Business. This program groups three students together and tasks them with creating a business idea, conducting the necessary research to bring the concept to life, and exploring different aspects of business, with the end goal of gaining traction. The product we were given to work through this process with was Hot Head, an engineering capstone project concept. The Hot Head product is a sustainable and innovative solution to the water waste issue we find is very prominent in the United States. In order to bring the Hot Head idea to life, we were tasked with doing research on topics ranging from the Hot Head life cycle to finding plausible personas who may have an interest in the Hot Head product. This paper outlines the journey to gaining traction via a marketing campaign and exposure of our brand on several platforms, with a specific interest in website traffic. Our research scope comes from mainly primary sources like gathering opinions of potential buyers by sending out surveys and hosting focus groups. The paper concludes with some possible future steps that could be taken if this project were to be continued.
ContributorsLozano Porras, Mariela (Co-author) / Rote, Jennifer (Co-author) / Goodall, Melody (Co-author) / Byrne, Jared (Thesis director) / Sebold, Brent (Committee member) / Department of Marketing (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The pandemic that hit in 2020 has boosted the growth of online learning that involves the booming of Massive Open Online Course (MOOC). To support this situation, it will be helpful to have tools that can help students in choosing between the different courses and can help instructors to understand what the students need. One of those tools is an online course ratings predictor. Using the predictor, online course instructors can learn the qualities that majority course takers deem as important, and thus they can adjust their lesson plans to fit those qualities. Meanwhile, students will be able to use it to help them in choosing the course to take by comparing the ratings. This research aims to find the best way to predict the rating of online courses using machine learning (ML). To create the ML model, different combinations of the length of the course, the number of materials it contains, the price of the course, the number of students taking the course, the course’s difficulty level, the usage of jargons or technical terms in the course description, the course’s instructors’ rating, the number of reviews the instructors got, and the number of classes the instructors have created on the same platform are used as the inputs. Meanwhile, the output of the model would be the average rating of a course. Data from 350 courses are used for this model, where 280 of them are used for training, 35 for testing, and the last 35 for validation. After trying out different machine learning models, wide neural networks model constantly gives the best training results while the medium tree model gives the best testing results. However, further research needs to be conducted as none of the results are not accurate, with 0.51 R-squared test result for the tree model.
ContributorsWidodo, Herlina (Author) / VanLehn, Kurt (Thesis director) / Craig, Scotty (Committee member) / Barrett, The Honors College (Contributor) / Department of Management and Entrepreneurship (Contributor) / Computer Science and Engineering Program (Contributor)
Created2021-12
Description
Barrett Honors Thesis
Abstract
Noah Zweiback
The 21st century has brought significant changes to American consumers through technological advancements, social medias, and changing public sentiments. The sport industry in particular has been largely unable to capitalize on these changes due to the traditional nature of sports.
Keyball™ is the new 21st century sport specifically designed to have the greatest spectator appeal in this modern age. With focus on athleticism, parity, theatrical/emotional engagements, and community impact, Keyball™ aims to create a fan experience that is not achievable by other professional sports leagues. By design, there is high skillset carryover from other sports, ensuring tremendous talent will always be available, and fans of many different sports will find Keyball™ attractive to watch and follow.
The professional sports industry has been dominated by only a few players for the past century. Due to the traditional nature of sports, innovation is hard to implement in professional leagues. Tackle football is A. incredibly dangerous, causing broken bones, torn ligaments and tendons, and serious brain damage (concussions, CTE) at high rates. B. Football is low scoring and C. the pace of play is very slow. Basketball by nature A. overwhelmingly rewards height or verticality. It also B. lacks physicality and C. parity (NBA level). D. The foul system is flawed and easily exploited, dampening the end of games.
Keyball™ is positioned to A. be much more violent than basketball/soccer/baseball, while being significantly safer than tackle football. In addition, B. the speed of play is much faster than football, similar to a soccer/basketball live play style. C. Keyball™ is high scoring (like basketball, unlike football and soccer) and features much more dynamic/exciting scoring opportunities than traditional team sports. Keyball™ D. unifies the highly entertaining skillsets of soccer players (foot skill) with basketball/football players (explosiveness & hand coordination). E. Keyball™ has inherent double meaning that alludes to gambling (Keyball™ Wager) yet still promotes charity, selflessness, and American values (capitalism, sportsmanship, teamwork).
Abstract
Noah Zweiback
The 21st century has brought significant changes to American consumers through technological advancements, social medias, and changing public sentiments. The sport industry in particular has been largely unable to capitalize on these changes due to the traditional nature of sports.
Keyball™ is the new 21st century sport specifically designed to have the greatest spectator appeal in this modern age. With focus on athleticism, parity, theatrical/emotional engagements, and community impact, Keyball™ aims to create a fan experience that is not achievable by other professional sports leagues. By design, there is high skillset carryover from other sports, ensuring tremendous talent will always be available, and fans of many different sports will find Keyball™ attractive to watch and follow.
The professional sports industry has been dominated by only a few players for the past century. Due to the traditional nature of sports, innovation is hard to implement in professional leagues. Tackle football is A. incredibly dangerous, causing broken bones, torn ligaments and tendons, and serious brain damage (concussions, CTE) at high rates. B. Football is low scoring and C. the pace of play is very slow. Basketball by nature A. overwhelmingly rewards height or verticality. It also B. lacks physicality and C. parity (NBA level). D. The foul system is flawed and easily exploited, dampening the end of games.
Keyball™ is positioned to A. be much more violent than basketball/soccer/baseball, while being significantly safer than tackle football. In addition, B. the speed of play is much faster than football, similar to a soccer/basketball live play style. C. Keyball™ is high scoring (like basketball, unlike football and soccer) and features much more dynamic/exciting scoring opportunities than traditional team sports. Keyball™ D. unifies the highly entertaining skillsets of soccer players (foot skill) with basketball/football players (explosiveness & hand coordination). E. Keyball™ has inherent double meaning that alludes to gambling (Keyball™ Wager) yet still promotes charity, selflessness, and American values (capitalism, sportsmanship, teamwork).
ContributorsZweiback, Noah B (Writer of accompanying material) / Denning, Michael (Thesis director) / Eaton, John (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
This paper examines the fundamental problem statement of: How can the hotel & resort industry resist and overcome the new competitive challenge that the sharing economy and Airbnb have imposed on it? This wasn’t a problem up until this past decade, as hotels had long been the world’s main solution for individuals looking for a place to stay in exchange for a fee. That has changed nowadays as the rise of the sharing economy has created a new, fast-growing demand for Airbnb in the hospitality industry. We have witnessed powerful companies die as a result of not taking disruptive technology seriously, as seen with Blockbuster and Kodak; however, we have also seen impressive reactions to disruptive technology in other cases such as Walmart and Alibaba that use it to enhance the customer experience. Hotels arose from humble beginnings and progressively became more than just a place to sleep. This is evidenced by the progression from 16th century humble inns to large luxury hotels in the 19-20th century to many hotels being significant tourist attractions themselves nowadays. While some factors such as security, hygiene, and consistency currently remain on the hotel industry’s side, the main factors fueling the growth of Airbnb are closely tied to consumer preferences and Airbnb’s ability to create unique, authentic experiences. A questionnaire with 756 responses from ASU students was conducted for this project’s primary research. The results concluded that this demographic travels often, slightly prefers hotels over Airbnb, and values location, convenience, and cost the most. Results were consistent with findings discussed in literature, since the bulk of respondents said they look at Airbnb for low-cost options and hotels for high-end options. Hotels reign supreme in the high-end market and benefit from their location and convenience factors, but Airbnb might have an opportunity to leverage their attractive capabilities while also incorporating some of hotels’ best aspects. This can cause the preference of hotels over Airbnb to diminish further going forward. Hotels can combat Airbnb in multiple ways. One is for hotel chains to customize more hotels to fit the local destination like Airbnb rather than keeping a more standardized vibe and design across all locations. Another is to continue focusing on creating unmatched service experiences in the high-end market that are hard for Airbnb to replicate. A third one is to implement more competitive pricing relative to Airbnb during peak seasons across different cities. Finally, given the increased awareness on hygiene and health that the COVID-19 crisis will likely bring after the pandemic, hotels should put greater emphasis on their hygiene factor when conducting publicity efforts, since this remains in favor of hotels rather than Airbnb and can attract customers who are still reeling with fear from the pandemic. All of this can help hotels to retain their crucial competencies while leveraging Airbnb’s competencies to create an incredible customer experience that is the best of both worlds. All of it prevent the hotel industry from going down a darker path than it has gone through before.
ContributorsValenzuela Gallardo, Juan (Author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Machine learning is one of the fastest growing fields and it has applications in almost any industry. Predicting sports games is an obvious use case for machine learning, data is relatively easy to collect, generally complete data is available, and outcomes are easily measurable. Predicting the outcomes of sports events may also be easily profitable, predictions can be taken to a sportsbook and wagered on. A successful prediction model could easily turn a profit. The goal of this project was to build a model using machine learning to predict the outcomes of NBA games.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
ContributorsGarretson, Samuel Burkett (Author) / Meuth, Ryan (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05