The Profiles of Paying Adult Gamers
An Analysis of the Preferred Values in Games
DOI:
https://doi.org/10.35699/2447-6218.2023.45693Keywords:
Consumer profile, Cluster analysis, Electronic gamesAbstract
Individuals constantly make consumption decisions, which impact not only the consumer, but also the entire chain that participates directly or indirectly in the creation of that product or service. Thus, there is a need to better understand the profiles of consumers of digital entertainment games, so that local developers can produce games that arouse and maintain the interest of these gamers, making this the main objective of this research. For this, Cluster Analysis was used, through the K-means method for categorical variables, where four personas were found, which were translated by their reference profiles (detailed in D descriptions), and represented a set of similar profiles in the sample space of the respondents, with homogeneous characteristics to this “focal profile”. The groups composed of the oldest age group (31 – 40 years old) and with a monthly income of BRL 2,200.01 to BRL 4,400.00 expressed a prudent behavior in relation to spending on games (they spent from BRL 0.00 to BRL 100.00 in the last 6 months). The other two remaining groups, formed by the younger age group (21 – 30 years), had different financial characteristics: the one with the lowest monthly income (up to BRL 1,100.00) was not the one who spent the least on electronic games in the last 6 months. (BRL 101.00 to BRL 250.00). The survey also concluded that “autonomy to follow several paths” was highly valued by the 4 profiles, named “withdrawn player”, “passionate player”, “nostalgic player” and “willing player”" to reflect the main characteristics of each profile.
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References
CORRAR, L. et al. Análise multivariada para os cursos de administração, ciências contábeis e economia. Atlas, 2007.
GRANJO, M.; PEIXOTO, F. Contributo para o estudo da Escala de Valores Humanos de Schwartz em professores. Laboratório de Psicologia, v. 11, n.1, p. 3-17, 2013.
HAIR, J. F. et al. Análise multivariada de dados. Bookman editora, 2009.
LOPES, H. E. G.; GOSLING, M. S. Análise de clusters na prática: lidando com outliers na pesquisa gerencial. Revista de Administração Contemporânea, v. 25, n. 1, p. 1-19, 2021.
NASCIMENTO, C. A. O.; GUARDANI, R. Análise Estatística Multivariada aplicada a processos químicos: parte 6 Análise de Agrupamentos. São Paulo: USP, 2007.
SCHWARTZ, S. H. An Overview of the Schwartz Theory of Basic Values. Online Readings in Psychology and Culture, v.2, n.1, 2012.
SCHWARTZ, S. H. A proposal for measuring value orientations across nations. In: Questionnaire Development Package of the European Social Survey. Chapter 7. 2003. p. 259-319.
SCHWARTZ, S. H.; BARDI, A. Influences of adaptation to communist rule on value priorities in Eastern Europe. Political Psychology, v.18, p.385-410, 1997.
SIOUX GROUP. Pesquisa Game Brasil 2018. 2018. Disponível em: https://www.pesquisagamebrasil.com.br/. Acesso em: 28 jan. 2021.
SOUZA, L. et al. Groups of Gamers: Market Segmentation of Brazilian Electronic Gamers. Brazilian Business Review, v. 18, n. 2, p. 177–195, 2021.
VILLELA, M. MOBA, RPG, MMORPG, FPS e mais: entenda significado dos gêneros de games. 2021. Disponível em: https://www.techtudo.com.br/noticias/2021/03/moba-rpg-mmorpg-fps-e-mais-entenda-significado-dos-generos-de-games.ghtml. Acesso em: 18 jun. 2021.
WEDEL, M.; KAMAKURA, W. A. Market Segmentation: conceptual and methodological foundations. Springer Science and Business Media, 2000.
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