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Ryan Tedjasukmana

Technologie Business

Neil Armstrong Hall of Engineering: Home to All First-Year Engineering Students

A Place Where Modern Concepts Meet Existing Fundamental Values

A Representation of Successful Community

An Expression of Passion to Always Be on the Cutting Edge

Offering Challenging Programs That Leads to the Stars

Where Professional Practices Become Embedded in Each Student

Programs That Emphasize the Holistic and Iterative Process of Innovating

And Meeting the Needs of the Current and Subsequent Generations

A Place Where Advanced Equipments Allow Us to Venture on Our Ideas

Complementing Our Everyday Lives from the Very Prominent to the More Obscure Forms

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Sports have a fundamental role in the life of Brazilians, with football being the predominant sport. These other sports live in football’s shadow and seek to thrive and grow, but a better understanding of what motivates their fans compared to football fans could be beneficial. To this end, this study seeks to improve our understanding how motivations differ in driving attitudinal and behavioural loyalty for fans of football and other sports, which may yield insights that can assist in the positioning of non-football sports against, and competing with, the juggernaut that football is in Brazil. A theoretically developed conceptual model is empirically tested of the effects of six motivational drivers—Interest in Team, Socialisation, Aesthetics, Sport Knowledge, Interest in Sport, Vicarious Achievement—on both attitudinal and behavoiural fan loyalty using survey data collected from 483 sports fans from Brazil (337 football fans and 146 non-football fans). The findings show that: (a) the motivational drivers for attitudinal fan loyalty of football fans were Interest in Team, Socialisation, Vicarious Achievement, Sport Knowledge and Aesthetics; (b) the motivational drivers for behavioural fan loyalty of football fans were Socialisation, Interest in Sport and Vicarious Achievement; (c) the motivational drivers for attitudinal fan loyalty of non-football fans were Vicarious Achievement and Aesthetics; (d) the motivational driver for behavioural fan loyalty of nonfootball fans was Sport Knowledge; and (e) that motivational differences exist between the two groups of fans for Aesthetics, Socialisation and Sport Knowledge. This study offers new insights into advancing the discourse in the area of fan-loyalty research in the Brazilian context. Managerial implications and recommendations for future research are also presented.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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