As the world becomes increasingly globally connected, more people than ever live away from their birth country. This means that more and more people will need to learn to adapt and integrate with new cultures and experiences. This can be a difficult process, because in their efforts to adapt, they might try to forget or abandon their previous culture in order to better assimilate to their new home. In this Creative Project, I examine my own transnational journey as a Russian living in America. I wanted to see how my identity as a person linked by two very different places has shaped who I am and what I want to be. Now that I am finishing college, how will my Russianness shape my possibilities in the future? In order to start this reflective process, I read 10 transitional novels to gain a sense of how other Russians processed their lives in America. I then used the insights I gained from these texts to design a set of questions that I asked myself and two other people, both with backgrounds that were similar to my own. Based on these discussions, I gained a greater appreciation for how my Russianness could be a real strength as I chart my future path in life.
The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs and obstacles to consider. This topic is extremely pertinent today as the advent of big data increases and the use of machine learning and artificial intelligence is expanding across industries and functional roles. The approach I took was to expand on a project I championed as a Microsoft intern where I facilitated the integration of a forecasting machine learning model firsthand into the business. I supplement my findings from the experience with research on machine learning as a disruptive technology. This paper will not delve into the technical aspects of coding a machine model, but rather provide a holistic overview of developing the model from a business perspective. My findings show that, while the advantages of machine learning are large and widespread, a lack of visibility and transparency into the algorithms behind machine learning, the necessity for large amounts of data, and the overall complexity of creating accurate models are all tradeoffs to consider when deciding whether or not machine learning is suitable for a certain objective. The results of this paper are important in order to increase the understanding of any business professional on the capabilities and obstacles of integrating machine learning into their business operations.
The purpose of this thesis is to outline the importance of setting an inclusive organizational culture within a professional baseball franchise, with a network of teams ranging from Rookie Leagues to Major League Baseball. In addition, the purpose of this research is to assess the current state of culture throughout Major League Baseball organizations to determine the most appropriate approach to culture for an MLB franchise, showing evidence for culture as a competitive advantage. Through qualitative research through the form of interviews (n=8), former players at the MiLB and MLB levels (n=3), player development staff (n=3), and directors of international scouting (n=2) provided insight into professional baseball culture in the United States (U.S.), its successes, and its shortcomings.
The movie industry is an uncertain business, and films often fail to make money, so the movie promotions and marketing decisions studios make are vital in determining success. With movie promotions, people from different cultures can perceive films and their advertising efforts differently because of their backgrounds, so movie marketers must recognize these differences to be able to succeed in international markets. This thesis is intended to help provide information for filmmakers and their respective film advertisers on how different cultures may perceive promotional movie poster factors, and how they can be more successful in their pursuit. Specifically, we are focusing on the influence of stars and review sources featured on such posters and how they might play into someone’s response to a film. To do so, we will be comparing viewers relative to their Hofstede cultural dimensions (of individualism and collectivism and power distance) to understand what factors might influence a society more and why. We first dive into our preliminary research, then make predictions and test them through a 2x2 study to determine what movie promotion elements are most influential to different viewers. Next we will conclude with the managerial implications and limitations and future research of our study. Overall, our research and data findings offer insights to filmmakers on how they might enhance and tailor their movie promotions when marketing to different cultures.
My project goes over creating a probability model to accurately predict the probability of a shot in the NHL becoming a goal. It explores different types of models to produce the most accurate model. The study explains which variables contribute most to whether a shot results in a goal or not and of those variables how teams can control them to have the most success.