Matching Items (7)

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Arizona's Golf Industry Beats Par

Description

This thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of

This thesis project provides a thorough cost-benefit analysis of the golf industry in Arizona. We begin by examining the economic, environmental, and social costs that the industry requires. One of the largest costs of the industry is water consumption. Golf courses in Arizona are currently finding ways to reduce water consumption through various methods, such as turf reduction and increasing the usage of drip irrigation. However, even at current levels of consumption, golf only consumes 1.9% of water in Arizona, compared to the 69% consumed by agriculture. Of the water consumed by the golf industry, 26.3% is wastewater, otherwise known as effluent water. Since the population in Arizona is projected to grow significantly over the next decade, the amount of effluent water produced will also increase. Due to this, we recommend that the golf industry move towards using as much effluent water as possible to conserve clean water sources. Additionally, we examine land allocation and agricultural tradeoffs to the state. Most golf courses are built in urban areas that would not be suitable for agriculture. The same land could be used to build a public park, but this would not provide as many economic benefits to the state. Many courses also act as floodplains which protect the communities surrounding them from flooding. These floodplains have proven to be crucial to protect from occasional flash floods by diverting the excess water away from homes. We also discuss golf's primary social cost in terms of its perception as being a sport played exclusively by privileged and wealthy people. This is proven to be false due to many non-profit organizations centered around the game, as well as municipal courses that provide affordable options for all citizens who want to play. We provide an in-depth analysis of the benefits that the industry provides to the state and its citizens primarily through business and tax revenue, employment, and property values. Including multiplier effects, the golf industry contributed 42,000 full- and part-time jobs, $3.9 billion in sales, $1.5 billion in labor income, and $2.1 billion value added in 2014. An estimated $72 million in state and local taxes were generated from golf facilities alone, without including taxes from indirectly impacted businesses. This tax revenue provides a great benefit to the public sector and increases Arizona's GDP. Also, much of this economic contribution is from the golf tourism industry, which brings new revenue into the state that would otherwise not exist. Golf courses also increase the surrounding real estate prices anywhere from 4.8% to 28%, providing a positive externality to community members in addition to scenic views. Finally, we provide a case study of the Waste Management Phoenix Open (WMO) to illustrate the impact of Arizona's single largest golf event each year. In 2017, the event brought an estimated $389 million into Arizona's economy in one week alone. Also, it regularly hosts massive crowds with a record-breaking 719,179 people attending the event in 2018. The WMO has also taken a "Zero Waste Challenge" to promote eco-friendly and sustainable practices by diverting all of the waste and materials produced by the tournament from landfills. The WMO has been dubbed both the "Greatest Show On Grass" and the "Greenest Show On Grass" due to the entertainment value provided as well as its effort to improve the environment.

Contributors

Agent

Created

Date Created
  • 2018-05

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Innovation Leadership

Description

The goal of this research is to answer the questions 1) What is innovation? 2) Why is innovation important? 3) How does leadership impact the effectiveness in driving innovation? 4)

The goal of this research is to answer the questions 1) What is innovation? 2) Why is innovation important? 3) How does leadership impact the effectiveness in driving innovation? 4) How can insight be taught to other individuals who would like to drive innovation in their own practice? By defining leadership characteristics, actions, and attributes, a tangible framework was created which can be utilized by any leader as a guiding point to drive innovation. Data for this project was collected through two channels: a survey which was administered to individuals who identified primarily as undergraduates and professionals, then interviews were conducted with individuals who are recognized as innovative leaders. Interview participants were selected based on recommendations from peers, awards, and accolades received. The questions in the survey focused on collecting data on the general perception and understanding of what an innovative leader is compared to traditional change management elements. Interview questions honed in on specific information regarding leadership approaches, group dynamic techniques, and personal characteristics in relation to leadership style. The findings from the study can be used for positive impact on universities and organizations.

Contributors

Agent

Created

Date Created
  • 2017-05

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Analyzing LinkedIn Profiles Using Machine Learning

Description

Understanding the necessary skills required to work in an industry is a difficult task with many potential uses. By being able to predict the industry of a person based on

Understanding the necessary skills required to work in an industry is a difficult task with many potential uses. By being able to predict the industry of a person based on their skills, professional social networks could make searching better with automated tagging, advertisers can target more carefully, and students can better find a career path that fits their skillset. The aim in this project is to apply deep learning to the world of professional networking. Deep Learning is a type of machine learning that has recently been making breakthroughs in the analysis of complex datasets that previously were not of much use. Initially the goal was to apply deep learning to the skills-to-company relationship, but a lack of quality data required a change to the skills-to-industry relationship. To accomplish the new goal, a database of LinkedIn profiles that are part of various industries was gathered and processed. From this dataset a model was created to take a list of skills and output an industry that people with those skills work in. Such a model has value in the insights that it forms allowing candidates to: determine what industry fits a skillset, identify key skills for industries, and locate which industries possible candidates may best fit in. Various models were trained and tested on a skill to industry dataset. The model was able to learn similarities between industries, and predict the most likely industries for each profiles skillset.

Contributors

Agent

Created

Date Created
  • 2017-12

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Downloading Dance: How the Media has Revolutionized the Dance Industry

Description

Throughout the 20th and 21st centuries, the dance industry has exponentially grown in its population and representation. As dance studios, companies, media platforms and films, dance industry continue to expand,

Throughout the 20th and 21st centuries, the dance industry has exponentially grown in its population and representation. As dance studios, companies, media platforms and films, dance industry continue to expand, there has been a substantial increase in the number of dancers around the world. Dancers are becoming more diverse with the styles they perform and how they perform a piece. One major factor to the growth of the dance industry is the ever-growing field of digital media and social platforms. These platforms expose people to different dance styles while also allowing dancers to showcase their art. Additionally, dance television shows and films contributed to this growth in the dance industry by developing a reputation and awareness of what dance is to the public. This project will analyze how certain aspects of the media influenced the modern dance industry, and whether this created a positive or negative impact.

Contributors

Agent

Created

Date Created
  • 2020-05

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Fact, Fiction and Fame: An Analysis of the Celebrity Journalism Industry

Description

Entertainment journalism is a field that is easily misunderstood. Too many times its credibility is overlooked in favor of its hard news and sports counterparts. But the celebrity and gossi

Entertainment journalism is a field that is easily misunderstood. Too many times its credibility is overlooked in favor of its hard news and sports counterparts. But the celebrity and gossip reporting industry has been a fixture in American journalism since the early 20th century. Readership and demand has steadily increased in the past 50 years for it to become a booming industry of magazines, news shows, websites and blogs all devoted to covering a unique aspect of the entertainment industry. From news about Angelina Jolie’s pregnancy to the status of production on the Batman reboot, the content covered is as diverse as it is compelling. However, there are many who believe that this genre of journalism consists of untruthful, frivolous fluff crafted by conning liars disguised as writers. The purpose of this thesis is to examine the field of entertainment and celebrity journalism and describe how it should be treated as a serious and respected genre of journalism due to its rigorous standards and the significant impact it has on the industry it covers—Hollywood.

Contributors

Created

Date Created
  • 2014-05

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Evaluating the effectiveness of nonlinear pricing in the breakfast cereal industry

Description

Nonlinear pricing is a term that looks at the relationship between price and quantity. Normally firms bundle breakfast cereals together and then sell them at least a price that

Nonlinear pricing is a term that looks at the relationship between price and quantity. Normally firms bundle breakfast cereals together and then sell them at least a price that is a third of the single unit price. This shows a lack of linearity between the price and the quantity. Most of the breakfast cereal brands like Kellogg’s , Post and others employ nonlinear pricing schedules as a way of motivating consumers to purchase their products. They use these methods to increase their product sales and boost profits respectively. An example of nonlinear pricing is when a consumer is given an option to buy two boxes of cereal and get and the third one for free.
According to Market Watch (10/08/2018), 85% of breakfast cereal brand companies use the nonlinear pricing model. This is a very popular and competitive market strategy used by other companies as well. The purpose of this thesis is to therefore evaluate the effectiveness of the nonlinear pricing strategy popular in the breakfast cereal industry, as well as ascertaining whether this strategy fosters loyalty amongst cereal consumers. I have always wondered if breakfast cereal companies that use nonlinear pricing models shortchange themselves by recycling their own customers instead of attracting new ones. To respond to that question, l used data from the breakfast cereal industry for the year 2017. This data received integrity research and assurance approval at Arizona State University . Moreover, the study used breakfast cereal data as the backbone of the analysis because consumption of breakfast cereals happens throughout the year and breakfast cereals have a longer shelf life. The data is based on receipt uploads from over 400,000 users of the Omni panel website. My goal with the thesis is to evaluate the effectiveness of nonlinear pricing schedules in relation to increasing sales and fostering customer loyalty. At the end of the study, l would like to have developed a strong and data-based opinion on why consumers choose the breakfast cereal they purchased and also on the relationship between nonlinear pricing and consumer loyalty. I hope to use my findings to propose a better model which, if used by these businesses, can enable them to generate more returns and cultivate customer loyalty.

Contributors

Agent

Created

Date Created
  • 2019-05

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Cluster metrics and temporal coherency in pixel based matrices

Description

In this thesis, the application of pixel-based vertical axes used within parallel coordinate plots is explored in an attempt to improve how existing tools can explain complex multivariate interactions across

In this thesis, the application of pixel-based vertical axes used within parallel coordinate plots is explored in an attempt to improve how existing tools can explain complex multivariate interactions across temporal data. Several promising visualization techniques are combined, such as: visual boosting to allow for quicker consumption of large data sets, the bond energy algorithm to find finer patterns and anomalies through contrast, multi-dimensional scaling, flow lines, user guided clustering, and row-column ordering. User input is applied on precomputed data sets to provide for real time interaction. General applicability of the techniques are tested against industrial trade, social networking, financial, and sparse data sets of varying dimensionality.

Contributors

Agent

Created

Date Created
  • 2014