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Dynamic capabilities and high-tech entrepreneurial ventures' performance in the aftermath of an environmental jolt.
Colombo, Massimo G; Piva, Evila; Quas, Anita; Rossi-Lamastra, Cristina.
Afiliación
  • Colombo MG; Department of Management, Economics and Industrial Engineering, Politecnico di Milano, via Lambruschini 4/b, 20156, Milano, Italy.
  • Piva E; Department of Management, Economics and Industrial Engineering, Politecnico di Milano, via Lambruschini 4/b, 20156, Milano, Italy.
  • Quas A; Università degli Studi di Milano, Via Conservatorio, 7, 20122, Milano, Italy.
  • Rossi-Lamastra C; Department of Management, Economics and Industrial Engineering, Politecnico di Milano, via Lambruschini 4/b, 20156, Milano, Italy.
Long Range Plann ; : 102026, 2020 Jul 28.
Article en En | MEDLINE | ID: mdl-32836389
This paper contributes to studies on dynamic capabilities (DCs) by showing that a neglected environmental contingency - i.e. the occurrence of a jolt - shapes the DCs-performance relationship. We focus on high-tech entrepreneurial ventures because these are the firms that jolts affect most; in so doing, we also advance the understanding of DCs in the entrepreneurship field. We argue that, in the aftermath of an environmental jolt, the high-tech entrepreneurial ventures that use internationalization and new product development capabilities to modify their resource configuration and regain environmental fit enjoy better performance. Econometric estimates on a sample of 340 Italian high-tech entrepreneurial ventures confronting the consequences of the global economic crisis that began in 2008 confirm that separately using these two DCs has a positive performance effect. This effect is stronger for relatively smaller ventures. Interestingly, despite synergies should arise from the combined use of the two DCs, we do not detect any superadditive effects.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Long Range Plann Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Long Range Plann Año: 2020 Tipo del documento: Article País de afiliación: Italia