The Role of Collaborative Knowledge Networks in the Brazilian Sugar-Energy Sector
DOI:
https://doi.org/10.31686/ijier.vol7.iss5.1496Keywords:
Collaborative Knowledge Networks, Brazilian Sugarcane Industry, arietal Update Index (VAI), Varietal Concentration Index (VCI)Abstract
This paper analyzes the role of collaborative knowledge networks in the Brazilian sugar and ethanol industry, in terms of strategic advantage, economic gain and global competitiveness, notwithstanding the risks inherent to the common use of knowledge produced by partners, companies, and other institutions related to the network. In this sense, this paper analyzed the role of the Interuniversity Network for the Development of the Sugar-Energy Sector (RIDESA) in the development, launching, registration and commercialization of new sugarcane cultivars, in Brazil, highlighting two innovation statistical indicators: Varietal Update Index (IAV); and, Varietal Concentration Index (ICV). In this study, we performed statistical analyzes of production data, planted area and sugarcane productivity in Brazil, between 2005 and 2018, conducting tests in historical series of the National Supply Company (CONAB). As a result of the preliminary theoretical analyzes, it can be understood that the collaborative knowledge networks, as a model of network innovation, is a trend that is established in the present, notwithstanding the risks of knowledge shared by the organizations, appearing as an important area of research in the field of intellectual property.
Downloads
References
[2] BUSH, Ashley A.; AMRIT, Tiwana. Designing sticky knowledge networks. Communications of the ACM, Vol.48(5), , 2005, pp. 66-71
[3] CONAB - Companhia Nacional de Abastecimento. Acompanhamento de safra brasileira: cana-de-açúcar. v. 4 - Safra 2017/18, n. 2 - Segundo levantamento, Brasília, p. 1-73, agosto 2017. <http://www.conab.gov.br/OlalaCMS/uploads/arquivos/17_08_24_08_59_54_boletim_cana_portugues_-_2o_lev_-_17-18.pdf>. Acesso em: 06 de março de 2018.
[4] CONAB - Companhia Nacional de Abastecimento. Cana-de-açúcar - Brasil. Série Histórica de Área Plantada. Safras 2005/06 a 2015/16. Brasília: CONAB, 2015. Disponível em: http://www.conab.gov.br/OlalaCMS/uploads/arquivos/ 16_04_18_14_58_56_canaseriehist.xls. Acesso em: 17 de maio de 2016.
[5] CTC. Centro de Tecnologia Canavieira. Censo varietal e de produtividade em 2012. 2016. Disponível em: http://www.ctcanavieira.com.br/downloads/Censo2012.pdf. Acesso em: 07 de junho de 2016.
[6] DURMUSOGLU, Serdar; JACOBS, Mark; NAYIR, Dilek Zamantili; KHILJI; Shaista; WANG, Xiaoyun. (2014), The quasi-moderating role of organizational culture in the relationship between rewards and knowledge shared and gained. Journal of Knowledge Management, Vol. 18 Iss 1, pp.19 – 37
[7] GLOOR, P.; LAUBACHER, R.; DYNES, S.; ZHAO, Y. (2003) Visualization of Interaction Patterns in Collaborative Knowledge Networks for Medical Applications. In Proceedings of the Tenth International Conference on Computer-Human Interaction, vol. 3: Human-Centered Computing: Cognitive, Social, and Ergonomic Aspects, 981–985.
[8] GLOOR, Peter. (2005) Swarm creativity: competitive advantage through collaborative innovation networks. Oxford University Press, 224p.
[9] JOHNSEN, T; FORD, D. Managing Collaborative Innovation in Complex Networks: Findings from Exploratory Interviews. 16th Annual Industrial Marketing and Purchasing Conference, England, 2000.
[10] LANDELL, M. G. A.; BRESSIANI, J. A. (2010) Melhoramento genético, caracterização e manejo varietal. In: DINARDO-MIRANDA, L. L.; VASCONCELLOS, A. C. M.; LANDELL, M. G. A. (Orgs.). Cana-de-açúcar. Campinas: IAC.
[11] PERRY, Nicolas; CANDLOT, Alexandre; CORNE, Schutte. (2010) Collaborative knowledge networks emergence for innovation: Factors of success analysis and comparison. Journal of Decision Systems 19, 1, p.75-91
[12] QIU, Jiangnan; WANG, Zhiqiang; NIAN, ChuangLing. An approach to filling firms' knowledge gaps based on organisational knowledge structure. Journal of Knowledge Management, Vol. 18 Iss 1, 2014. pp. 1 – 18.
[13] RIDESA - Rede Interuniversitária para o Desenvolvimento do Setor Sucroalcooleiro. Censo Varietal Brasil - 2016/17. Disponível em <https://www.ridesa.com.br/censo-varietal>. Acesso em 10 de março de 2018.
[14] SILVA, Patrícia Brandão Barbosa da. (2013) O setor sucroenergético e o regime de apropriabilidade de cultivares de cana-de-açúcar: o caso RIDESA. Dissertação de Mestrado. Universidade Federal de Alagoas. Faculdade de Economia, Administração e Contabilidade. Curso de Mestrado em Economia Aplicada, Maceió.
[15] TRKMAN, Peter; DESOUZA, Kevin C. (2012) Knowledge risks in organizational networks: An exploratory framework. Journal of Strategic Information Systems, 21, pp.1–17.
Downloads
Published
Issue
Section
License
Copyright (c) 2019 Marcia Brito Nery Alves, Ana Eleonora Almeida Paixão

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Copyrights for articles published in IJIER journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author for more visit Copyright & License.