Um sistema de medição de desempenho para startups incubadas

Autores

DOI:

https://doi.org/10.5902/1983465937817

Palavras-chave:

Start-ups, Performance measurement, Technological incubators, Competitiveness.

Resumo

Proposta – O desenvolvimento de um modelo para medir e avaliar o desempenho de startups em um processo padrão de incubação, baseado em 99 fatores críticos de sucesso identificados como os mais relevantes para o contexto.

Metodologia – Um total de três etapas sequenciais foram desenvolvidas para atingir os objetivos propostos (visão geral do problema; modelagem e uso). O modelo foi testado em quatro startups em estágio de desenvolvimento e três startups em estágio de maturidade, localizados na Incubadora Tecnológica de Santa Maria (ITSM).

Resultados – Após a fase de modelagem, os resultados comprometedores foram encontrados para apenas uma startup em estágio de desenvolvimento. Enquanto isso, para o estágio de maturidade, todas as três startups avaliadas são competitivas. Para apoiar o processo decisório estratégico, os escores obtidos foram estratificados para diagnosticar quais perspectivas podem comprometer o desempenho de cada startup.

Originalidade – Esta pesquisa mostrou-se adaptável ao contexto de decisão, sendo, portanto, passível de ser utilizada em diferentes cenários. O modelo apresentado neste trabalho é composto por uma ferramenta sistemática adequada para apoiar a melhoria contínua e os processos de aprendizagem para startups incubadas, em específico para medir e avaliar o desempenho de startups.

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Biografia do Autor

Frank Casado, Universidade Federal de Santa Maria

Graduated in Economic Sciences from the Federal University of Santa Maria (2002) and Master in Production Engineering from the Federal University of Santa Maria (2012), working from 2012 to 2013 as manager of the Santa Maria Technological Incubator. In the years 2014 to 2020 he served as Pro-Rector of Planning at Federal University of Santa Maria. Frank has experience in Strategic Management and Performance Evaluation, acting mainly on the following topics: Production engineering, organizational performance evaluation, strategic management, public management, and risk management.

Julio Siluk, Universidade Federal de Santa Maria

PhD in Production Engineering from the Federal University of Santa Catarina, Florianopolis, Brazil (2007), master in Production Engineering from the Federal University of Santa Maria, Brazil (2001). He graduated in Administration in the Federal University of Santa Maria, Brazil (1987). Julio is currently Professor of the Production Engineering department, Director of the Production Engineering Post-Graduation program at the Federal University of Santa Maria and leader of Center for Innovation and Competitiveness (NIC).

Alvaro Luiz Neuenfeldt Júnior, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul

Núcleo de Inovação e Competitividade

Programa de Pós-Graduação em Engenharia de Produção

Lucas de Ataide, Universidade Federal de Santa Maria

Student of Production Engineering at the Federal University of Santa Maria, Brazil, Lucas is currently researcher at Center for Innovation and Competitiveness and head of the Production Engineering academic representation.Student of Production Engineering at the Federal University of Santa Maria, Brazil, Lucas is currently researcher at Center for Innovation and Competitiveness and head of the Production Engineering academic representation.

Oscar Daniel Quiroga, Universidad Nacional del Litoral (UNL)

PhD in Industrial Engineering from the Department of Industrial Engineering of the Universidad Nacional del Litoral, Argentina (2000), graduated in Electrical-electronic Engineer from the Universidad Católica de Córdoba, Argentina (1994). Oscar has experience in Strategic Management, Industrial Engineering, and Innovation Management.

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Publicado

2020-11-28

Como Citar

Casado, F., Siluk, J., Neuenfeldt Júnior, A. L., Ataide, L. de, & Quiroga, O. D. (2020). Um sistema de medição de desempenho para startups incubadas. Revista De Administração Da UFSM, 13(5), 977–996. https://doi.org/10.5902/1983465937817

Edição

v. 13 n. 5 (2020): Edição Especial

Seção

Artigos

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