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Showing posts from October, 2018

Elevator Pitch

Introduction: Name, Topic being talked about Explain Topic: VR simulation in sports Why would it be effective for athletes?: Less injury? Faster recovery? Statistics that have shown how it has improved athletes performances.

W9 L1

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Did Not Meet Expectations Met Expectations Exceeded Expectations Organization/ Structure Elevator Pitch: Persuasive, 90 Secs Analysis on Scholarly Sources The conventions of the WP2 and what would make it a good project/presentation is that it includes all the things needed such as the 2 scholarly journals and the analysis of them. Of course for the project to be good you personally have to be interested in the topic and discipline that you picked. If you are passionate, interested in the topic it would be easier for the audience to be invested in your product/topic. What makes an elevator pitch an elevator pitch is that it has to be really compelling and attention grabbing for a short amount of time. 20-30 seconds should be the length on an elevator pitch and it should be about an overview of an idea, business or product that you’re trying to make someone interested in.

PB2B

Chao, K., Chen, C., & Li, C. (2013). A PRELIMINARY STUDY OF BUSINESS INTELLIGENCE IN SPORTS: A PERFORMANCE-SALARY MODEL OF PLAYER VIA ARTIFICIAL NEURAL NETWORK. International Journal of Electronic Business Management, 11(1), 13-22. Content: “Artificial neural network is a teaching tool with the principle of processing information through simulating human brain” Based off the article there is a lot of data and statistics thrown around because it mentions as the evaluation of a players performance from when they are about to hit free agency and they years that they won’t hit free agency. There are many type of performance options that are evaluated in the paper and it is based of different goals of the players and how much they play. Construction: For the paper they actually listed the structure of how the paper was written. Instead of just having regular headings they divided it up by chapters. Chapter 2: Literature Review, in this chapter, we will review relevant regulations on M

PB2A Parts 3-5

Part 3: How does one determine in the sports industry how much is a player worth and how do you know it is the correct value? Does this impact the sports organization? Is it useful to have a female coach to a male team? How does a female and male think regarding certain situation that lead to in game decision making? Should college student athletes be paid? How would artificial intelligent umpires impact the baseball industry? Part 4: Sports, Leadership, Gender Roles (Men, Women), Human Behavior, Artificial Intelligence, Baseball, Contracts, Value Part 5: Chao, K., Chen, C., & Li, C. (2013). A PRELIMINARY STUDY OF BUSINESS INTELLIGENCE IN SPORTS: A PERFORMANCE-SALARY MODEL OF PLAYER VIA ARTIFICIAL NEURAL NETWORK. International Journal of Electronic Business Management, 11(1), 13-22. A review of virtual environments for training in ball sports by Miles, Helen C; Pop, Serban R; Watt, Simon J; Lawrence, Gavin P; John, Nigel W Computers & Graphics, 10/2012, Volume 36, Issue 6 Lesl

PB2A Part 1&2

Honestly I really want to do something involving sports management or psychology regarding sports, but I didn’t really get the sense that there was anyone studying something specific to that topic. The closest I can find was in the Business major. Professor Goldberg research interest in Business and Human Behavior and Motivation sounds the most intriguing. I believe since he studies business and human behavior that there can be something to look at of the human behavior of the sports business/industry. This can go in many ways with decisons of who to hire for certain teams, how much a player should get paid, etc.