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- Creators: Department of Information Systems
- Resource Type: Text
Description
Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in the long run. Through the examination of scholarly supply chain literature, case studies, and industry reports with an emphasis on digital technology, supply chain, and sustainability, a conceptual model was created to begin the research in the area of cost savings through the use of digital technologies to enable companies to be more sustainable. This paper works to define the terms sustainability, sustainable supply chain management, and intelligent supply chain designs. It focuses on the positive social and environmental impact of the implementation of leading-edge digital technologies in supply management processes by creating transparency, efficiency, and reliability throughout the supply chain. Through an applied analysis of Mattel, Rana Plaza, Nike, and Coca-Cola and a cost-benefit analysis, it is concluded that companies that implement blockchain technology into their supply management process designs may create more sustainable supply chains while increasing savings and increasing profits. Blockchain may provide the reliability and transparency needed to better manage the supply management process which will evoke better business decisions. Intelligent supply chain designs improve the environmental and social sustainability of a company while maintaining a competitive edge.
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
ContributorsVon Mizener, Noel Maria Yvonne Svetlana (Author) / Carter, Craig (Thesis director) / Forst, Bradley (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This project looks at the change in strikeout patterns over the past 19 years of Major League Baseball. New research in 2001 revolutionized the pitching statistics field, and non-coincidentally, the number of strikeouts has ballooned since then. I first detail the statistical nature of the increase, looking at where the additional strikeouts are coming from. Then, a discussion of why this has happened, referencing changes in baseball strategy and talent usage optimization follows. The changes in the ways MLB teams use their pitching staffs are largely the cause of this increase. Similar research is cited to confirm that these strategy changes are valid and are having the effect of increasing strikeouts in the game. Strikeout numbers are then compared to other pitching statistics over the years to determine whether the increase has had any effect on other pitching metrics. Lastly, overall team success is looked at as a verification method as to whether the increased focus on increasing strikeouts has created positive results for major league teams. Teams making the MLB playoffs consistently ranked much higher than non-qualifying teams in terms of strikeout rates. Also included in the project are the details of data acquisition and manipulation, to ensure the figures used are valid. Ideas for future research and further work on the topic are included, as the amount of data available in this field is quite staggering. Further analysis could dive into the ways pitches themselves are changing, rather than looking at pitching outcomes. Overall, the project details and explains a major shift in the way baseball has been played over the last 19 years, complete with both pure data analysis and supplementary commentary and explanation
ContributorsCasalena, Jontito (Author) / Doig, Stephen (Thesis director) / Pomrenke, Jacob (Committee member) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Since 1965, Billboard has been charting top songs to publicly inform music artists and consumers which music is most popular at a given time. Given the changes in culture, technology, and countless other factors over time, it seems as though there are very few consistencies across the board to answer the question of why a song makes it to the top of the charts. To analyze this issue, I look at both songwriting trends and consumer mentality as they relate to the following questions:
1. What does a consumer look for in the music they choose to listen to?
2. What do trends in songwriting show us?
3. How can artists make songs that stand out in an oversaturated market?
In examining songwriting trends, I utilize both secondary research and Python code for a dataset from Kaggle that contains over 5,000 records of Top 100 songs since 1965. To understand the consumer, I observe psychological, sociological, and psychographic behaviors that contribute to their music consumption patterns. To take time factors into consideration, I also consider the implications of our technology-heavy modern world.
Consumers seek male vocalists with noticeable effort exerted and seek to explore themes present in the Urban/Contemporary stage of their lives, which occurs around early adulthood and involves finding love and social acceptance. Consumers also seek familiarity within or immediately surrounding their music due to psychological factors pointed out by author Charles Duhigg. Popular structure has changed over time by becoming shortened due to a decrease in attention span, and lyrics have evolved to focus more on the self due to the increased presence of social media.
My results give songwriters a short, broad reference with which to understand consumers and create music that has a better chance at success and popularity. Though tailored to music, the results can be applied to all art forms, as the end consumer is very similar and the same societal shifts have shaped art for the past five decades. My goal is to inspire the artist that there is room for them in the ever-growing world of music that craves individuality as much as it does familiarity.
1. What does a consumer look for in the music they choose to listen to?
2. What do trends in songwriting show us?
3. How can artists make songs that stand out in an oversaturated market?
In examining songwriting trends, I utilize both secondary research and Python code for a dataset from Kaggle that contains over 5,000 records of Top 100 songs since 1965. To understand the consumer, I observe psychological, sociological, and psychographic behaviors that contribute to their music consumption patterns. To take time factors into consideration, I also consider the implications of our technology-heavy modern world.
Consumers seek male vocalists with noticeable effort exerted and seek to explore themes present in the Urban/Contemporary stage of their lives, which occurs around early adulthood and involves finding love and social acceptance. Consumers also seek familiarity within or immediately surrounding their music due to psychological factors pointed out by author Charles Duhigg. Popular structure has changed over time by becoming shortened due to a decrease in attention span, and lyrics have evolved to focus more on the self due to the increased presence of social media.
My results give songwriters a short, broad reference with which to understand consumers and create music that has a better chance at success and popularity. Though tailored to music, the results can be applied to all art forms, as the end consumer is very similar and the same societal shifts have shaped art for the past five decades. My goal is to inspire the artist that there is room for them in the ever-growing world of music that craves individuality as much as it does familiarity.
ContributorsSperduti, Erin Michelle (Author) / Sopha, Matthew (Thesis director) / Voorhees, Matthew (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
What is a “Good Economy”? Analysis of Economic Metrics & Their Political Impact on the United States
Description
The goal of this research paper is to analyze how we define economic success and how that affects large corporations and consumers. This paper asks the questions: What do we define as a good economy? What metrics are currently utilized? And how do perceptions of a good economy influence politics? Overall, the research seeks to identify common economic and financial fallacies held by the average citizen and offer alternative methods of how socio-economic information is presented to the consumers. Consumers play a major role in the market, and the information they receive has a considerable impact on their behaviors. Determining why the present economic analysis is used is the first step in finding ways to improve the system. Observing past political and economic trends and relating them to current issues is necessary for finding future solutions.
ContributorsTosca, Carlos (Author) / Brian, Jennifer (Thesis director) / Sadusky, Brian (Committee member) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This essay serves as a study of the pre-internet analogues to the modern internet meme, as well as the origins and cultural transmission thereof. I would like to take a deeper look into the history of this kind of cultural phenomenon and how these “proto-memes” arose, spread, and translated between cultures before the internet facilitated all of these functions. This would then be contrasted to how this occurs currently. There are many studies that examine the cultural impact and workings of internet memes, but markedly fewer that take a look at what came before them and how this aspect of culture evolved. It is reasonable, and accurate, to determine that the internet has been a monumental factor in the meteoric rise of memetic culture, but every culture must have had their own equivalent humor in the form of inside jokes and shared humorous stories. These can and have taken several different forms, such as critique of Napoleon’s height, political cartoons, and even graffiti. I will be taking a look at cultural movements and trends in several pre-internet cultures, including Ancient Greece, Britain, and 20th century America. I will then be examining the origin, spread, and cross-cultural impact that these trends had in comparison to what can be expected of internet memes in the current day. Several of the aforementioned cultural trends are things that are recognized today and managed to spread surprisingly well given limited communication. As expected, the internet makes it much easier to create, share, repurpose, and spread memes than ever before. However, many of the proto-memes from older civilizations are still recognized and discussed today, meaning they have withstood the test of time miraculously well and likely better than any modern memes ever will.
ContributorsDarr, Jackson Cole (Author) / Ingram-Waters, Mary (Thesis director) / Tremblay, Rikki (Committee member) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
This project aimed to find implementable solutions to the long flow times at the Starbucks locations on campus. Surveys of the consumers indicated a dissatisfaction rating of 29%, neutral rating of 29% and satisfaction rating of 42%. Showing room for improvement in satisfaction, respondents were asked if a decrease in flow time or if mobile ordering was implemented would affect their frequency, over 50% responded that it would increase their frequency. Implementation of a mobile ordering system into the ASU app or separating the register line into M&G only and then cash and card only, is recommended to decrease the flow time.
ContributorsLares, Bethany Linn (Author) / Munshi, Perseus (Thesis director) / Garverick, Michael (Committee member) / Samuelson, Melissa (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
The purpose of this thesis is to better understand the current work and research being done by Supply Chain Management professors from universities from around the world. This paper includes an explanation of the research being done by four presenters, a summary of their work, and a reflection. These summaries and lectures allowed me to learn about current supply chain research and provide a focus for the rest of my thesis. The seminars include research being done by: Mark Ferguson, Edward Anderson and Rachna Shah. The preceding professors will discuss previous or current research. The second portion of this thesis will include a literature review of papers on the topic of corporate social responsibility and unintended consequences.
ContributorsBarney, Lauren E (Author) / Printezis, Antonios (Thesis director) / Oke, Adegoke (Committee member) / Department of Information Systems (Contributor) / School of Sustainability (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
Prior research has established a relation between parenting behaviors and symptoms of child psychopathology, and this association may be influenced by both genetic and environmental factors. Gene-environment correlation, or the influence of a child’s genes on the environment they receive, represents one possible mechanism through which genes and environment combine to influence child outcomes. This study examined evocative gene-environment correlation in the relation between parenting and symptoms of child psychopathology in a sample of 676 twins (51.5% female, 58.5% Caucasian, 23.7% Hispanic/Latinx, primarily middle class, MAge=8.43, SD=.62) recruited from Arizona birth records. Using univariate ACE twin biometric models, genetic influences were found to moderately contribute to internalizing symptoms (A=.47, C=.25, E=.28), while externalizing (A=.86, E=.14) and ADHD (A=.84, E=.16) symptoms were found to be highly heritable. The genetic influences for positive (C=.54, E=.46) and negative (C=.44, E=.56) parenting were smaller and found to be nonsignificant. The correlations between parenting and types of psychopathology were examined and bivariate Cholesky decompositions were conducted for statistically significant correlations. Negative parenting was moderately positively correlated with externalizing and ADHD symptoms; the relation between externalizing symptoms and negative parenting was found to be due to shared genetics, whereas the relation between negative parenting and ADHD symptoms was due to the shared environment. The mixed results regarding the role of gene environment correlation in relations between parenting and child psychopathology indicate that further research on the mechanisms of this relation is needed.
ContributorsCarrizosa, Mya Grace (Author) / Lemery-Chalfant, Kathryn (Thesis director) / Corbin, William (Committee member) / Davis, Mary (Committee member) / Oro, Veronica (Committee member) / Department of Information Systems (Contributor) / Economics Program in CLAS (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The use of Artificial Intelligence in assistive systems is growing in application and efficiency. From self-driving cars, to medical and surgical robots and industrial tasked unsupervised co-robots; the use of AI and robotics to eliminate human error in high-stress environments and perform automated tasks is something that is advancing society’s status quo. Not only has the understanding of co-robotics exploded in the industrial world, but in research as well. The National Science Foundation (NSF) defines co-robots as the following: “...a robot whose main purpose is to work with people or other robots to accomplish a goal” (NSF, 1). The latest iteration of their National Robotics Initiative, NRI-2.0, focuses on efforts of creating co-robots optimized for ‘scalability, customizability, lowering barriers to entry, and societal impact’(NSF, 1). While many avenues have been explored for the implementation of co-robotics to create more efficient processes and sustainable lifestyles, this project’s focus was on societal impact co-robotics in the field of human safety and well-being. Introducing a co-robotics and computer vision AI solution for first responder assistance would help bring awareness and efficiency to public safety. The use of real-time identification techniques would create a greater range of awareness for first responders in high-stress situations. A combination of environmental features collected through sensors (camera and radar) could be used to identify people and objects within certain environments where visual impairments and obstructions are high (eg. burning buildings, smoke-filled rooms, ect.). Information about situational conditions (environmental readings, locations of other occupants, etc.) could be transmitted to first responders in emergency situations, maximizing situational awareness. This would not only aid first responders in the evaluation of emergency situations, but it would provide useful data for the first responder that would help materialize the most effective course of action for said situation.
ContributorsScott, Kylel D (Author) / Benjamin, Victor (Thesis director) / Liu, Xiao (Committee member) / Engineering Programs (Contributor) / College of Integrative Sciences and Arts (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
The purpose of this project is to analyze the MIT OpenCourseWare coffee can radar design and modify it to be better suited for drone based synthetic aperture radar (SAR) applications while maintaining the low-cost aspect of the original design. The MIT coffee can radar can function as a ranged radar, a Doppler radar, or as SAR. Through simulations and research, the suggestions for how to modify the radar resulted in swapping the coffee can monopole antennas for patch antenna arrays or helical ordinary end-fire antennas, adding an Arduino for automatic recording of output pulses, and switching from a breadboard construction to a PCB to shrink form factor and keep costs and construction time low.
ContributorsRivera, Danielle (Author) / Trichopoulos, Georgios (Thesis director) / Aberle, James (Committee member) / Department of Information Systems (Contributor) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12