Matching Items (24)
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- All Subjects: data
- Creators: Department of Information Systems
- Creators: Chong, Oswald
- Resource Type: Text
- Status: Published
Description
This project analyzes the tweets from the 2016 US Presidential Candidates' personal Twitter accounts. The goal is to define distinct patterns and differences between candidates and parties use of social media as a platform. The data spans the period of September 2015 to March 2016, which was during the primary races for the Republicans and Democrats. The overall purpose of this project is to contribute to finding new ways of driving value from social media, in particular Twitter.
ContributorsMortimer, Schuyler Kenneth (Author) / Simon, Alan (Thesis director) / Mousavi, Seyedreza (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The coffee industry is enormous and has grown around the world. Today, 125 million people depend on coffee production for their livelihood, and coffee is consumed in every part of the globe. Arizona State University, the largest public university in the United States, gathers a large number of coffee drinkers as college students become dependent on caffeine in order to perform their best in multiple facets of their hectic lives. Researchers realized that there is still a gap that has not been filled in the Tempe retail coffee market. Thus, the objective of this project is to conduct a detailed research on the retail coffee industry, and to craft a profitable business plan for a coffee shop in the Vista del Sol community. The researchers utilized both quantitative and qualitative analysis tools. All survey results, calculations, and maps can be found in the appendices and the Excel file.
To help the readers better understand the industry, the researchers provide a detailed analysis on the retail coffee industry from both macro and micro levels. The Coffee Break House aims to be the leader of the retail coffee industry by delivering consistent, fast and superior service, providing high-quality beverages, being the most inviting store, and having the friendliest staff in a relaxing and welcoming environment. The coffee shop will be owned and operated by four equity investors. The business plan, which includes six major sections, shows investors’ vision and strategic focus.
• Market Situation Analysis
• Marketing Strategy
• Supply Chain Strategy
• Financial Strategy
• Expansion Plan
• Risks
The researchers believe that the Coffee Break House has the potential to become a successful business and provide lucrative returns to potential investors. This is due to the company’s aggressive marketing strategy, establishment of the company as a unique entity in the industry, careful development of its products, a well developed supply chain strategy, and a profitable revenue model.
To help the readers better understand the industry, the researchers provide a detailed analysis on the retail coffee industry from both macro and micro levels. The Coffee Break House aims to be the leader of the retail coffee industry by delivering consistent, fast and superior service, providing high-quality beverages, being the most inviting store, and having the friendliest staff in a relaxing and welcoming environment. The coffee shop will be owned and operated by four equity investors. The business plan, which includes six major sections, shows investors’ vision and strategic focus.
• Market Situation Analysis
• Marketing Strategy
• Supply Chain Strategy
• Financial Strategy
• Expansion Plan
• Risks
The researchers believe that the Coffee Break House has the potential to become a successful business and provide lucrative returns to potential investors. This is due to the company’s aggressive marketing strategy, establishment of the company as a unique entity in the industry, careful development of its products, a well developed supply chain strategy, and a profitable revenue model.
ContributorsJiang, Yichun (Co-author) / Yin, Jiangting (Co-author) / Oke, Adegoke (Thesis director) / O'Neill, Dan (Committee member) / W. P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The key to success is hard work and determination. Achieving success is always under construction. This project began as a simple analysis of the firm's progress, as at the time it was in desperate need of new clients and a marketing strategy to strengthen its visibility on campus.Through this evaluation, our team found that the firm was in an abysmal state and the previously noted problems were not the only issues of concern. From our research we found that in order for the firm to grow and become a successful student run consulting firm, there are several interorganizational issues that need to be understood and addressed. The intention of New Venture Group and the Consulting Scholars academic program is to provide students the opportunity to garner practical learning experiences. These potential opportunities are not taken full advantage of because of the afflicting problems that exist. The purpose of this thesis is to understand what problems exist within the firm and the next steps that should be taken to resolve them.
ContributorsBaskin, Connor (Co-author) / Farr, Austin (Co-author) / Chou, Alexandra (Co-author) / Laub, Jeffrey (Thesis director) / Taylor, Todd (Committee member) / Department of Supply Chain Management (Contributor) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Department of Information Systems (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This case study analyzed the internal controls of a real estate company using the widely accepted COSO framework. Testing of the internal environment and controls was completed using the COSO framework. The major internal control problem identified in the study was a lack of ethical standards in the control environment. In addition to this main problem, inadequate documentation, no separation of duties, and unqualified employees were also identified as violations of effective internal controls. The department of real estate ordered a "cease and desist" on August 8, 2013 due to illegal company activities. The company participated in illegal actions regarding: the trust account and company documentation and procedures. Material weaknesses were found in the company's internal controls; therefore the result of this study was an adverse opinion on internal controls.
ContributorsFrederick, Nicole Lorraine (Author) / Munshi, Perseus (Thesis director) / Benali, Kayla (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Psychology (Contributor)
Created2013-12
Description
Data has quickly become a cornerstone of society. Across our daily lives, industry, policy, and more, we are experiencing what can only be called a “data revolution” igniting ferociously. While data is gaining more and more importance, consumers do not fully understand the extent of its use and subsequent capitalization by companies. This paper explores the current climate relating to data security and data privacy. It aims to start a conversation regarding the culture around the sharing and collection of data. We explore aspects of data privacy in four tiers: the current cultural and social perception of data privacy, its relevance in our daily lives, its importance in society’s dialogue. Next, we look at current policy and legislature in place today, focusing primarily on Europe’s established GDPR and the incoming California Consumer Privacy Act, to see what measures are already in place and what measures need to be adopted to mold more of a culture of transparency. Next, we analyze current data privacy regulations and power of regulators like the FTC and SEC to see what tools they have at their disposal to ensure accountability in the tech industry when it comes to how our data is used. Lastly, we look at the potential act of treating and viewing data as an asset, and the implications of doing so in the scope of possible valuation and depreciation techniques. The goal of this paper is to outline initial steps to better understand and regulate data privacy and collection practices. Our goal is to bring this issue to the forefront of conversation in society, so that we may start the first step in the metaphorical marathon of data privacy, with the goal of establishing better data privacy controls and become a more data-conscious society.
ContributorsAnderson, Thomas C (Co-author) / Shafeeva, Zarina (Co-author) / Swiech, Jakub (Co-author) / Marchant, Gary (Thesis director) / Sopha, Matthew (Committee member) / WPC Graduate Programs (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
With the discovery of “Big Data” and the positive impacts properly using data can have on any and every business, it is no wonder that there has been an explosion of companies choosing to implement many possible uses of data. Consumers and any people who may not fully understand the process of collecting, analyzing, and visualizing data may be more easily swayed towards believing something that might not necessarily be true or represented accurately. Often it may feel like every hot topic issue has groups on both sides of the issues using seemingly objective data to prove why their side is correct. Seeing two contradictory sides with seemingly factual data can leave many people confused and unsure what the correct course of action is. With this in mind, I realized that there was a chance the businesses could be creating similar misrepresentations of data to sway customers that the company’s product or service is absolutely a necessity in their lives. After all, the world of marketing and understanding consumer preference is a wildly changing and constant moving target that companies have to navigate. Using data surrounding their products and services to create a desire in consumers to buy and use their offerings seems like a surefire way to successfully target market segments.
As I researched and conducted initial analysis for this project, I quickly ran into a few roadblocks that lead to me needing to pivot off of certain ideas and adapt my initial plans to fit what was actually being done in the current marketing environment. In reality, most businesses are not up for taking the risk of explicitly giving real metrics of their products and services to customers. Due to this, my thesis evolved into finding other ways that companies would use logical appeals to represent their products and comparatively analyze how these companies choose to represent themselves on a social media platform.
As I researched and conducted initial analysis for this project, I quickly ran into a few roadblocks that lead to me needing to pivot off of certain ideas and adapt my initial plans to fit what was actually being done in the current marketing environment. In reality, most businesses are not up for taking the risk of explicitly giving real metrics of their products and services to customers. Due to this, my thesis evolved into finding other ways that companies would use logical appeals to represent their products and comparatively analyze how these companies choose to represent themselves on a social media platform.
ContributorsQueen, Adrianna Louise (Author) / Prince, Linda (Thesis director) / Olsen, Christopher (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In this paper, I have designed a business model for a new type of fashion retail
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only showing clothing
pieces that each person is likely to purchase, based on predictive analytics. In order to
plan this business model and determine whether a company of this style could be
successful, this paper includes research on the current environment of the fashion
industry, the company’s potential target market segmentation, and tactics for developing
the best customer offering.
store. This store will perfect the personal styling experience by utilizing customer and
apparel data to make individualized apparel recommendations. The format of this store
will heavily reduce the amount of search time for customers by only showing clothing
pieces that each person is likely to purchase, based on predictive analytics. In order to
plan this business model and determine whether a company of this style could be
successful, this paper includes research on the current environment of the fashion
industry, the company’s potential target market segmentation, and tactics for developing
the best customer offering.
ContributorsTrevino, Alexandra (Author) / Riker, Elise (Thesis director) / Schlacter, John (Committee member) / WPC Graduate Programs (Contributor) / School of International Letters and Cultures (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The goal of this thesis is to conduct a descriptive analysis of the gross domestic product (GDP) sector composition of countries around the world and their respective levels of economic development with consideration of their geographic locations, economic growth over time, and their economic sizes. This analysis will be centered around exploring the differences of the GDP composition of countries at different levels of development, testing the consensus that developed countries tend to be focused on the services sector in comparison to less developed ones, who trend towards focus on the agricultural one. These findings will be primarily attained through use of data interpretation and regression analysis utilizing the statistical software packages of Stata and Excel. Results and analysis are to be supported by powerful data visualizations created in Tableau and the careful examination of said visualizations.
Due to the sheer amount of macro-economic factors and the case specific incidences involved in the determination of a country’s level of economic development, this thesis will focus entirely on the descriptive analysis of the relationship between a country’s GDP sector composition within the agricultural, industrial, and services sectors and their level of economic development measured in GDP per capita. This study will explore the relationship between GDP per capita and geographic regions, growth over time, and economic size as well. These relationships will be used to determine if said factors need to be controlled for when analyzing the relationship between a country’s sector composition and its level of development. A better understanding of what countries look like at all levels of development helps build a complete picture of a what makes a country successful and could be used in future studies that seek to predict economic success based on more and/or separate variables.
Due to the sheer amount of macro-economic factors and the case specific incidences involved in the determination of a country’s level of economic development, this thesis will focus entirely on the descriptive analysis of the relationship between a country’s GDP sector composition within the agricultural, industrial, and services sectors and their level of economic development measured in GDP per capita. This study will explore the relationship between GDP per capita and geographic regions, growth over time, and economic size as well. These relationships will be used to determine if said factors need to be controlled for when analyzing the relationship between a country’s sector composition and its level of development. A better understanding of what countries look like at all levels of development helps build a complete picture of a what makes a country successful and could be used in future studies that seek to predict economic success based on more and/or separate variables.
ContributorsStojsin, Rastko (Author) / Goegan, Brian (Thesis director) / Lopez, Andres Diaz (Committee member) / Department of Economics (Contributor) / Department of Information Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
With growing levels of income inequality in the United States, it remains as important as ever to ensure indispensable public services are readily available to all members of society. This paper investigates four forms of public services (schools, libraries, fire stations, and police stations), first by researching the background of these services and their relation to poverty, and then by conducting geospatial and regression analysis. The author uses Esri's ArcGIS Pro software to quantify the proximity to public services from urban American neighborhoods (census tracts in the cities of Phoenix and Chicago). Afterwards, the measures indicating proximity are compared to the socioeconomic statuses of neighborhoods using regression analysis. The results indicate that pure proximity to these four services is not necessarily correlated to socioeconomic status. While the paper does uncover some correlations, such as a relationship between school quality and socioeconomic status, the majority of the findings negate the author's hypothesis and show that, in Phoenix and Chicago, there is not much discrepancy between neighborhoods and the extent to which they are able to access vital government-funded services.
ContributorsNorbury, Adam Charles (Author) / Simon, Alan (Thesis director) / Simon, Phil (Committee member) / Department of Information Systems (Contributor) / Department of English (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
In the wide world of sports, not all fan bases are created equally—especially in the NBA. Differences in factors like tradition, history, team performance amongst teams make each fan base distinctly unique. This paper will analyze how team performance effects one component of fan behavior: home game attendance. Using win-loss data and home game attendance data for each NBA team from 2001 to 2017, I will construct statistical models to estimate how great of an impact team performance has on each team’s home game attendance. I expect each team’s fan base to respond differently to changes in their team’s win-loss record. This paper will also attempt to quantify other facts that impact attendance at NBA games, including year-to-year changes in team salary expenditures, regional income, and the number of star players playing for the team. Finally, this paper will explore the factors that affect home game attendance for specific games within a given season—things like weather, strength of opponent, and win streaks. Ultimately, the goal of this paper will be to provide NBA business analysts with resources to more precisely anticipate their team’s home game attendance. The ability to understand what motivates the behavior of a fan base is invaluable in creating a marketing strategy that drives fans to the arena. This paper will help to identify teams that are most susceptible to significant fluctuations in attendance and outline alternative strategies to positioning their product offering effectively to fans.
ContributorsSloan, Jacob Marlow (Author) / Lee, Christopher (Thesis director) / Eaton, John (Committee member) / Department of Marketing (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05