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dc.contributor.advisorKlein, Amarolinda Iara da Costa Zanela
dc.contributor.authorRibeiro, Fabiana Girotto
dc.date.accessioned2023-09-22T17:48:40Z
dc.date.accessioned2024-02-28T18:57:25Z
dc.date.available2023-09-22T17:48:40Z
dc.date.available2024-02-28T18:57:25Z
dc.date.issued2023-06-29
dc.identifier.urihttps://hdl.handle.net/20.500.12032/126526
dc.description.abstractIncreasing pressures from environmental regulation, cutting-edge resources, big data, sustainability, environmental ethics, and market demands push agricultural organizations to seek new strategic measures to reduce environmental impact, improve their products, and increase their competitiveness. This research explores how Big Data Analytical Capability (BDAC) is developed in agricultural organizations and what is its relationship with Green Innovation. The theoretical approach adopted is the Resource Orchestration View (ROV). The method is a single case study of a multinational agricultural organization, from the forestry sector, to understand the resources and orchestration processes that led to the creation of BDAC and how this capability contributes to Green Innovation. The results show that the BDAC is built through the orchestration of several resources, including technological, human, financial and intangible. This capability allows the organization to make strategic decisions generating insights for Green Innovation. BDAC thus positively influences Green Innovation by helping to promote sustainable practices in forestry, with the use of big data. Relevant points were raised in relation to the orchestration of resources to create the BDAC, such as data democratization, data governance, open innovation, among others. The research contributes theoretically by offering an expanded view on how BDA resources are developed and used for Green Innovation. In addition, the study brings practical contributions to managers and professionals in the agricultural sector, showing how the orchestration of BDA resources can maintain sustainability and competitiveness, while promoting environmental responsibility.en
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectCapacidade analítica de Big Datapt_BR
dc.subjectBig data analyticsen
dc.titleCapacidade analítica de Big Data (bdac) e sua relação com a Inovação Verde na agriculturapt_BR
dc.typeTesept_BR


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