2021
DOI: 10.1108/jeee-11-2020-0412
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Entrepreneurial cognition and premature scaling of startups: a qualitative analysis of determinants of start-up failures

Abstract: Purpose This study aims to explore the behavioral patterns of entrepreneurs, their cognitive styles and personality characteristics that can lead to a self-destructive chain of events during the transition from a fledgling business to one capable of long-term, profitable growth. This study adopts the self-regulation attitude theory to uncover the reasons for premature start-up scaling, which will help founders to study on their cognitive biases, emotions and behaviors and make efforts to do what does not come … Show more

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Cited by 17 publications
(9 citation statements)
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“…However, a cash crunch may be encountered in the expansionary stage. Further, behavioral factors such as entrepreneurial cognition can play a role in startup failure (Joseph et al, 2021). Behavioral biases could lead to premature scaling up.…”
Section: Cash Burnout/relationship Hypothesismentioning
confidence: 99%
“…However, a cash crunch may be encountered in the expansionary stage. Further, behavioral factors such as entrepreneurial cognition can play a role in startup failure (Joseph et al, 2021). Behavioral biases could lead to premature scaling up.…”
Section: Cash Burnout/relationship Hypothesismentioning
confidence: 99%
“…Organizational ecology studies underscore the significance of strategic choices and competitive positioning in determining mortality rates (Lourdes Sosa, 2012). Behavioral research also indicates biases and heuristics among founders that hamper objective decision making (Casti, 2021; Joseph et al, 2021; Onan, 2023b). Exogenous theories conversely examine external environmental forces precipitating failure.…”
Section: Research Backgroundmentioning
confidence: 99%
“…Empirical studies often examine one or a few predictors of startup failures, or they identify multiple factors without proposing a clear theoretical framework to systematize these underlying reasons ( Littunen et al, 1998 ; Lussier and Pfeifer, 2001 ; Rogoff et al, 2004 ; Cardon et al, 2011 ; Giardino et al, 2014 ; Khelil, 2016 ; Krishna et al, 2016 ; Bednár and Tarišková, 2017 ; Mikle, 2020 ; Santisteban et al, 2022 ; Joseph et al, 2023 ). For instance, Bednár and Tarišková (2017) list 13 different factors, including lack of money, cost issues, and lack of investors, among others.…”
Section: Introductionmentioning
confidence: 99%