Equipes diversificadas têm maior probabilidade de se separar após um revés em comparação com equipes compostas por pessoas de origens semelhantes, de acordo com uma nova pesquisa da Universidade de Minnesota publicada na Sociological Science .
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)
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Equipes diversificadas têm maior probabilidade de se separar após um revés em comparação com equipes compostas por pessoas de origens semelhantes, de acordo com uma nova pesquisa da Universidade de Minnesota publicada na Sociological Science . Essas separações geralmente levam a parcerias com pessoas com características em comum.
A professora assistente da Carlson School of Management, Xuege (Cathy) Lu, liderou a pesquisa para entender melhor por que, apesar do aumento das oportunidades de se conectar com pessoas de diferentes origens, as pessoas continuam a interagir com pessoas semelhantes a elas. Os pesquisadores usaram o tênis profissional masculino como um estudo de caso para examinar a durabilidade de diversos relacionamentos diante da adversidade e suas implicações.
Os pesquisadores examinaram como parceiros de duplas do mesmo país, em comparação com parceiros de países diferentes, responderam à derrota na primeira rodada dos torneios da Associação de Tênis Profissionais (ATP). Depois de analisar quase 10.000 pares de duplas envolvendo 1.812 jogadores únicos de 99 países de 2000 a 2020, os pesquisadores descobriram:
Parceiros de duplas de países diferentes têm até 6% mais chances de se separar do que parceiros do mesmo país após uma derrota no primeiro turno.
Esse efeito é especialmente significativo se os países dos jogadores não tiverem confiança social e conexões uns com os outros.
Os jogadores que deixaram um par de dois países têm maior probabilidade de mudar para um parceiro do mesmo país no próximo torneio.
"A percepção negativa de uma derrota parece muito maior para equipes mais diversificadas", disse Lu. "Enquanto isso, um par do mesmo país que experimenta a mesma perda pode se sentir bem e ficar um com o outro. Parceiros com menos pontos em comum podem achar mais difícil reconstruir a confiança e seguir em frente."
Para determinar a confiança social entre os países dos jogadores, os pesquisadores usaram o índice de conexão social do Facebook para medir a probabilidade relativa de amizade no Facebook entre usuários nesses países. A análise dos pesquisadores sugeriu que a falta de conectividade social ou confiança entre os países teve um impacto maior no resultado do relacionamento dos parceiros após uma perda do que a falta de um idioma comum.
À medida que mais organizações concentram esforços em aumentar a diversidade e o networking , Lu diz que sua pesquisa destaca a importância de fornecer recursos adicionais para promover a colaboração contínua.
“Depois de enfrentar a adversidade, parece haver essa tendência de voltar ao que é familiar”, disse Lu. "As pessoas devem estar atentas quando acontecem contratempos; uma equipe diversificada pode ser mais suscetível a desmoronar. Aumentar a confiança mútua pode ajudar a fortalecer a resiliência da parceria."
Shinan Wang, da Northwestern University, e o professor assistente Letian Zhang, da Harvard Business School, também são coautores desta pesquisa.
Mais informações: Xuege (Cathy) Lu et al, Homophily, Backbacks, and the Dissolution of Heterogeneous Ties: Evidence from Professional Tennis, Sociological Science (2023). DOI: 10.15195/v10.a7
Informações da revista: Ciências Sociológicas