Controle do Capital Intelectual: Um Modelo Aplicado à Gestão dos Ativos do Conhecimento

The knowledge management (KM) and intellectual capital (IC) have been topics of great relevance in academia and business. However, the literature suggests that there is a research gap that need to be better understood deriving from the difficulties encountered by researchers and companies in manage, measure and control the intangible assets. The purpose of this article is to propose a theoretical-conceptual model to support the development of a control system to IC and KM. Accordingly it is discussed the design of the management control system (MCS) and previous studies that supports the proposed model are analyzed. The study expands the understanding on the focal topic and helps to fill that research gap, showing that: (1) an adequate design of the MCS can contribute to the externalizing of part of the tacit knowledge, transforming it into explicit knowledge through acculturation of the members of the company; (2) the organizational culture helps to systematize and disseminate knowledge in the company; (3) the cultural control can help to integrate the knowledge, manage it and turn it into IC; and (4) the MCS can collaborate in the individual knowledge socialization process and in the collective knowledge institutionalization aiming to create value for companies.A gestão do conhecimento (GC) e o capital intelectual (CI) têm sido temas de grande relevância no meio acadêmico e empresarial. A literatura sugere que há lacunas de pesquisa que precisam ser mais bem compreendidas decorrentes das dificuldades encontradas por pesquisadores e empresas em gerenciar, medir e controlar os ativos ditos intangíveis de uma organização. A pesquisa descrita neste artigo teve como objetivo propor um modelo teórico-conceitual para colaborar no controle do CI e na GC. Com este propósito, foi discutido o desenho do sistema de controle gerencial (SCG) e foram analisados os estudos anteriores que apoiaram a proposição do modelo em questão. Os resultados obtidos ampliam o conhecimento sobre o assunto e ajudam a preencher aquela lacuna de pesquisa, mostrando que: (1) um desenho adequado do SCG pode contribuir para a externalização de parte do conhecimento tácito, transformando-o em conhecimento explícito através de aculturação dos membros da empresa; (2) a cultura organizacional ajuda a sistematizar e disseminar o conhecimento na empresa; (3) o controle cultural pode ajudar a integrar os conhecimentos, gerenciá-lo e transformá-lo em CI; e (4) o SCG tanto pode colaborar no processo de socialização dos conhecimentos individuais como para a institucionalização do conhecimento coletivo com o objetivo de criar valor para as empresas. DOI:10.5585/riae.v12i2.191

Strategic knowledge management: In search of a knowledge-based organizational model

This paper discusses the results and propositions of organizational knowledge management research conducted in the period 2001-2007. This longitudinal study had the unique goal of investigating and analyzing “Knowledge Management” (KM) processes effectively implemented in world class organizations. The main objective was to investigate and analyze the conceptions, motivations, practices, metrics and results of KM processes implemented in different industries. The first set of studies involved 20 world cases related in the literature and served as a basis for a theoretical framework entitled “KM Integrative Conceptual Mapping Proposition”. This theoretical proposal was then tested in a qualitative study in three large organizations in Brazil. The results of the qualitative study validated the mapping proposition and left questions for new research concerning the implementation of a knowledge-based organizational model strategy.Este artigo aborda os resultados e proposições da investigação da gestão do conhecimento organizacional conduzida no período de 2001-2007. Este estudo longitudinal teve como único objectivo o de investigar e analisar os processos de “Gestão do Conhecimento” (GC) eficazmente implementados no universo das organizações trabalham ou têm influência fora das fronteiras nacionais. O principal objectivo foi o de investigar e analisar concepções, motivações, práticas, métricas e resultados dos processos de GC existentes em diferentes indústrias. O primeiro conjunto de estudos envolveu 20 casos descritos na literatura e serviu de base para a abordagem teórica designada “Proposição do Mapa Conceptual Integrativo da GC”. Esta proposta teórica foi posteriormente testada através de um estudo qualitativo em três organizações de grande dimensão do Brasil. Os resultados do estudo qualitativo validaram a proposição do mapa e levantaram questões para nova investigação no âmbito da implementação de um modelo de estratégia organizacional baseado no conhecimento

Estratégias de Sobrevivência e Avanço numa Organização do Terceiro Setor: O Papel dos Capacitadores do Conhecimento na Junior Achievement de Minas Gerais

Knowledge and innovation have always worked together. Some authors associate knowledge management (KM) as a strategic determinant factor for organization development and for the process of continuous innovation with its resulting increase in competitiveness. This article aims to investigate the contributions of the knowledge enablers for knowledge creation and the strategies of survival and advance in a third sector company, following the model of Von Krogh, Ichijo and Nonaka (2001). The descriptive case study was conducted at Junior Achievement of Minas Gerais (Jamg), whose mission is the diffusion of entrepreneurial education and it has the knowledge and innovation as its main products and also its main assets. The results showed that the analyzed knowledge enablers contribute for the creation of knowledge in Jamg, and therefore for their survival and advancing strategies. The keystone "Creating a Proper Context" reveals what appears to be the strongest point of the organization: the quality of its indoor environment, in which the employees relationships appear to be "permeated by solicitude and humanism". Some points for improvement were also identified.Conhecimento e inovação sempre caminharam juntos. Alguns autores vincularm a gestão do conhecimento (GC) como fator estratégico determinante para o desenvolvimento das organizações, para o processo de inovação contínua e o consequente aumento da competitividade. Este artigo tem como objetivo investigar as contribuições dos capacitadores do conhecimento para a criação do conhecimento e as estratégias de sobrevivência e avanço numa empresa do terceiro setor, à luz do modelo de Von Krogh, Ichijo e Nonaka (2001). O estudo de caso descritivo foi realizado na Junior Achievement de Minas Gerais (JAMG) cuja missão é a difusão da educação empreendedora e que tem no conhecimento e na inovação seus principais produtos e ativos. Os resultados mostraram que os capacitadores do conhecimento analisados contribuem para a criação do conhecimento na JAMG e para suas estratégias de sobrevivência e avanço. O capacitador "criar o contexto adequado" revela ser o ponto mais forte da organização; a qualidade do seu ambiente interno, no qual os relacionamentos dos colaboradores aparentam ser "permeados pela solicitude e pelo humanismo". Também foram identificados vários pontos de melhoria. DOI:10.5585/riae.v13i1.210

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost