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Prevezer, Martha

doi:10.1023/a:1017995006003

Cited by 207 publications

(20 citation statements)

References 8 publications

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“…O potencial de realização está associado às possibilidades abertas pelas rotinas operacionais (NELSON; WINTER, 1982) existentes para a combinação do conhecimento atual e de novos conhecimentos, de modo a gerar novos insights e a desenvolver novas competências. empresas é apontada por Wennberg e Lindqvist (2010), com base nos estudos de Beaudry e Swann (2001), Folta, Cooper e Baik (2006) e Prevezer (1997). Os efeitos benéficos sobre a eficiência e a inovação podem ser superados pelos efeitos adversos derivados do número elevado de empresas, que leva a uma intensa concorrência por recursos.…”

Section: Escopo Das Atividades: Amplitudeunclassified

Pequenas empresas industriais de longa permanência no mercado: uma análise a partir da literatura e de evidências empíricas

et al. 2014

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O trabalho visa identificar a influência da idade, tamanho, escopo e efeitos do local sobre a probabilidade de sobrevivência a longo prazo das pequenas empresas industriais. É um estudo descritivo que se apoia em um banco de dados com informações das pequenas empresas industriais da região de Campinas, construído a partir do Cadastro Industrial da Região de Campinas e dados da Secretaria da Fazenda do Estado de São Paulo (SEFAZ). O estudo evidenciou que a amplitude da linha de produtos, a abrangência em termos de mercado e o tamanho exercem influência sobre a probabilidade de sobrevivência das pequenas empresas industriais.

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Section: Escopo Das Atividades: Amplitudeunclassified

Pequenas empresas industriais de longa permanência no mercado: uma análise a partir da literatura e de evidências empíricas

et al. 2014

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“…Thirdly, as for empirical research of agricultural industrial clusters, Prevezer [11] used the new enterprise entry model to deeply empirically analyze the Xiangbang wine industrial clusters in France, and studied the openness of FA Mei agricultural industrial clusters and the cooperation efficiency among enterprises, which had a significant impact on the cost of new enterprises entering the clusters. In order to find the key influencing factors hindering the development of agricultural industrial clusters and propose the corresponding solutions, Peters et al [12] empirically analyzed the industrial clusters of agricultural product-processing enterprises with pork as the leading agricultural products, and specifically studied the production enterprises of pig production, processing, wholesale and retail, and export.…”

Section: Literature Review 21 Research On Agricultural Industrial Clustersmentioning

confidence: 99%

Study in Driving Strategy and Analysis of Sustainable and Symbiosis Development Relationship between Agricultural Industrial Clusters and Agricultural Logistics Industry

Jiang

et al. 2021

Sustainability

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Due to a lack of profound disclosure of the internal mechanism for the symbiotic development of agricultural industrial clusters and agricultural logistics industry, the current study finds it difficult to form specific and implementable driving countermeasures well. Quantitative research on their symbiotic development and evolution is an important method to promote the further development of agricultural industry and agricultural logistics industry. In this paper, the factors affecting the sustainable symbiotic development relationship are analyzed between agricultural industry clusters and agricultural logistics industry with explanatory structural equation, and a system-driving model is constructed for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry. The analysis indicated that, for the symbiotic development of agricultural enterprise clusters and agricultural logistics industry, the macro policy orientation is the fundamental driving force and the symbiotic development effect is its final result. Seven driving paths are refined, and the relevant countermeasures to promote the sustainable development of agricultural industrial clusters and agricultural logistics industry are put forward one at a time.

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“…Coding was based on a firm's R&D facilities' location within a 1-hour commute of an industry-recognized biopharmaceutical cluster. Bioclusters were determined by our industry knowledge with cross-referenced confirmation by literature (e.g., Cooke, 2004;Pillay & Uctu, 2013;Prevezer, 1997) and national industry-specific resources such as the Biotechnology Innovation Organization (BIO) or the European Biotechnology Network. 2…”

Section: Cluster Participationmentioning

confidence: 99%

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

2019

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Growing technological complexity continues to drive firms to interact with the external innovation environment to achieve firm success. However, industries' complexities and the business model concept's underlying ontology have limited research on modeling the key factors that enable this interface. In this study, results of an empirical analysis of a unique dataset of 102 biopharmaceutical companies broadly support the EC‐LQO five‐factor framework as a useful tool to guide business model innovation for highly knowledge‐intensive environments.

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Untitled

Cited by 207 publications

References 8 publications

Pequenas empresas industriais de longa permanência no mercado: uma análise a partir da literatura e de evidências empíricas

Pequenas empresas industriais de longa permanência no mercado: uma análise a partir da literatura e de evidências empíricas

Study in Driving Strategy and Analysis of Sustainable and Symbiosis Development Relationship between Agricultural Industrial Clusters and Agricultural Logistics Industry

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

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