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figshare
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
figshare
Dataset . 2019
License: CC BY
Data sources: Datacite
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Interorganizational Relationships in the Amazon Biotech Industry Based on Entrepreneurs´ Perceptions

Authors: Mafra, Rosana Zau; Lasmar, Dimas José; Vilela Júnior, Dalton Chaves;

Interorganizational Relationships in the Amazon Biotech Industry Based on Entrepreneurs´ Perceptions

Abstract

Abstract The process of industrial restructuring has adopted different types of relationships in order to guarantee the organizations survival and development. Bioindustry requires high technical-scientific investments that are obtained through partnerships. These collaborative relationships, however, have been challenging in Brazil. In the Amazon context, where value adding in the use of biodiversity resources bears high importance for regional sustainable development, studies point to difficulties of interaction between bioindustry firms, university, and government. Against this backdrop, this research analyzes the perception of entrepreneurs operating in the Amazon bioindustry regarding the inter-organizational relationships. Qualitative research was carried out with thirteen firms, collecting data based on network pictures, complemented with semi-structured interviews. The study identified that attributes such as friendship and trust are primary factors in the relationships, and that the complementarity of resources is the main reason to establish partnerships. However, the findings suggest that inter and intra-sectorial relationships in this Amazon bioindustry are far behind what is recommended in literature to affirm the existence of a business network. Therefore, the study points out the need for strategic actions to approximate these actors in bioindustry.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average