Submitted by Emanuel Varela Cardoso (emanuel.varela@ufcg.edu.br) on 2018-08-31T19:40:20Z No. of bitstreams: 1 FERNANDO FELIX DO NASCIMENTO JUNIOR – DISSERTAÇÃO (PPGCC).pdf: 3433404 bytes, checksum: b5c42ff5d239a6628e636523baabae45 (MD5) / Made available in DSpace on 2018-08-31T19:40:20Z (GMT). No. of bitstreams: 1 FERNANDO FELIX DO NASCIMENTO JUNIOR – DISSERTAÇÃO (PPGCC).pdf: 3433404 bytes, checksum: b5c42ff5d239a6628e636523baabae45 (MD5) Previous issue date: 2017-12-15 / Capes / Apesar da crescente popularidade dos esportes eletrônicos (eSports), ainda há uma escassez de trabalhos acadêmicos que exploram o comportamento de jogo das equipes. Compreender as características que ajudam discriminar entre equipes bem-sucedidas e malsucedidas poderia ajudar as equipes a melhorar suas estratégias, como determinar métricas de desempenho a serem alcançadas. Nesta dissertação, identificamos e caracterizamos padrões de comportamento de equipes com base nos dados de histórico de partidas de League of Legends, um eSport muito popular. Ao aplicar métodos de mineração de dados, como aprendizado da máquina e análise estatística, agrupamos o desempenho das equipes e investigamos para cada grupo como e em que medida essas características influenciam o sucesso e fracasso das equipes. Alguns grupos são mais propensos a terem equipes mais vencedoras do que outros, os resultados do nosso estudo ajudaram a descobrir as características que estão associadas a essa propensão e permitiram modelar métricas de desempenho de perfis de equipe bem sucedidas e malsucedidas. Encontramos ao todo 7 perfis, que foram categorizados em quatro grandes níveis em termos de proporção de equipes vencedoras: Fraco, Mais ou Menos, Bom e Top. / Despite the increasing popularity of electronic sports (eSports), there is still a scarcity of academic works exploring the playing behavior of teams. Understanding the features that help to discriminate between successful and unsuccessful teams would help teams improving their strategies, such as determine performance metrics to reach. In this dissertation, we identify and characterize team behavior patterns based on historical matches data from League of Legends, a very popular eSport. By applying methods from data mining, such as machine learning and statistical analysis, we clustered teams’ performance and investigate for each cluster how and to what extent these features have an influence on teams’ success and failure. Some clusters are more likely to have winning teams than others, the results of our study helped to discover the characteristics that are associated with this predisposition and allowed us to define performance metrics of successful and unsuccessful team profiles. At all, we found 7 profiles in which were categorized into four big levels in terms of winning team proportion: Weak, So-So, Good and Top.

In a growing digital economy, the possibilities for newly established companies are immense, and the market for innovative, disruptive products has grown exponentially. In this environment, single-person start-ups exist alongside billion-dollar organizations with thousands of employees. Somewhere in the middle, scale-ups have become an increasingly interesting topic of study as they can be seen as the "successful" start-ups that are experiencing the transitional challenges of establishing themselves in an increasingly competitive market. As fast-growing scale-ups juggle customer's demand for new, innovative products/services alongside investor's demand for a viable business model, a need for a fast and adaptive product/service development environment arises. Here the concept of cross-functional teams becomes increasingly interesting as a tool for facing the challenges that such scale-ups face. This paper is an exploratory case-study following a cross-functional team at a tech scale-up in the Stockholm region. The company currently inhabits the gaming market and offers B2C products/services to thousands of customers. This case study follows the cross-functional team from its early inception to the later stages of its progress. This paper draws conclusions for optimal conditions and success factors that allow for cross-functional teams to reach their full potential. Being a case study, this paper is also able to analyze how different contextual factors have implications on how crossfunctional teams operate. In the end, success factors are laid out, both generally and contextually, giving readers insights into the benefits and challenges that go hand-inhand with cross-functional teams at high growth scale-ups. / I en snabbväxande digital ekonomi är möjligheterna för nyetablerade bolag enorma. Efterfrågan efter innovativa och disruptiva produkter har vuxit exponentiellt. I denna miljö existerar det både små start-ups och miljardbolag med tusentals anställda. Någonstans i mitten mellan start-ups och miljardbolag finns det ett bolagsstadie som benämns scale-up. Scale-up kan ses som framgångsrika start-ups som handskas med de utmaningar som kommer med att snabbt växa och samtidigt konkurrera i en tuff marknad. Snabbväxande scale-ups behöver balansera kundernas efterfrågan för innovativa produkter/tjänster samtidigt som eventuella investerare kräver bevis på att företaget har en lönsam affärsmodell. För att uppfylla allt detta krävs det en snabb, innovativ och adaptiv utvecklingsmiljö för företagets produkter och tjänster. Crossfunctional teams är en intressant modell för att hantera några av de utmaningar som scale-ups står inför. Denna studie är en explorativ fall-studie som följer ett cross-functional team på en svensk scale-up i baserad i Stockholmsregionen. Företaget är en leverantör till gamingindustrin och erbjuder B2C produkter och tjänster till tusentals kunder. Dennastudie följer ett cross-functional team från initierandet av teamet och under flera veckors tid. Studien bidrar med slutsatser gällande vilka förutsättningar och framgångsfaktorer som bidrar till att ett cross-functional team kan uppnå sin fulla potential. Denna fall-studie bidrar också med insikter kring hur olika kontextuella faktorer påverkar arbetet för crossfunctional team. Slutligen, presenterar studien olika framgångsfaktorer, både generella och kontextuella för cross-functional teams. Studien bidrar även med insikter gällande de olika fördelarna och utmaningarna som uppkommer om man arbetar med crossfunctional teams.