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Uncovering the affective turmoil during opportunity recognition and exploitation: A nonlinear approach

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Detalhes bibliográficos
Resumo:This study explores the affective turmoil experienced by nascent entrepreneurs during opportunity recognition and exploitation. Based on the affect circumplex model, we employed nonlinear methods to identify configurations of affect that emerge during these early stages of the entrepreneurial journey. We analyzed data from 50 nascent entrepreneurs using Artificial Neural Networks (ANNs) trained with twenty affect dimensions as input variables and opportunity recognition and opportunity exploitation as outcomes. Results show that nascent entrepreneurs experience different affect configurations during opportunity recognition and exploitation. While four configurations of affect emerged associated with opportunity recognition and exploitation, their nature and importance to the experienced event are significantly different. Specifically, “active screening” is the most important configuration of affect during opportunity recognition, while “vigilant” is the most important during opportunity exploitation. We posit that nonlinear methods can help to uncover the affective turmoil experienced by entrepreneurs during a particular event. These findings provide new insights on how affect associates differently with cognition during the early stages of entrepreneurship.
Autores principais:Santos, Susana Correia
Outros Autores:Caetano, Antonio; Costa, Silvia; Lopes, Rita Rueff; Silva, Ana Junça; Neumeyer, Xaver
Assunto:Opportunity recognition and exploitation Affect Nonlinear methods
Ano:2020
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Ispa-Instituto Universitário
Idioma:inglês
Origem:Repositório do Ispa - Instituto Universitário
Descrição
Resumo:This study explores the affective turmoil experienced by nascent entrepreneurs during opportunity recognition and exploitation. Based on the affect circumplex model, we employed nonlinear methods to identify configurations of affect that emerge during these early stages of the entrepreneurial journey. We analyzed data from 50 nascent entrepreneurs using Artificial Neural Networks (ANNs) trained with twenty affect dimensions as input variables and opportunity recognition and opportunity exploitation as outcomes. Results show that nascent entrepreneurs experience different affect configurations during opportunity recognition and exploitation. While four configurations of affect emerged associated with opportunity recognition and exploitation, their nature and importance to the experienced event are significantly different. Specifically, “active screening” is the most important configuration of affect during opportunity recognition, while “vigilant” is the most important during opportunity exploitation. We posit that nonlinear methods can help to uncover the affective turmoil experienced by entrepreneurs during a particular event. These findings provide new insights on how affect associates differently with cognition during the early stages of entrepreneurship.

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