RED SOCIAL INFORMAL Y TRANFERENCIA DE CONOCIMIENTO TECNICO EN I+D

Ribeiro, Lourdes Carniello; Rodriguez Y Rodriguez, Martius Vicente

doi:10.1590/1413-2311.02814.50197

Acessibilidade / Reportar erro

Brasil

REAd. Revista Eletrônica de Administração (Porto Alegre)

Español English

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

ARTIGOS • REAd. Rev. eletrôn. adm. (Porto Alegre) 22 (3) • Sep-Dec 2016 • https://doi.org/10.1590/1413-2311.02814.50197 copiar

RED SOCIAL INFORMAL Y TRANFERENCIA DE CONOCIMIENTO TECNICO EN I+D

Autoría SCIMAGO INSTITUTIONS RANKINGS

RESUMEN

En el mundo corporativo hay un creciente interés por Gestión del Conocimiento (CG). La capacidad de las empresas de compilar el conocimiento acumulado, organizarlo y convertirlo en una ventaja competitiva es hoy el gran desafío de las empresas modernas. Cada vez más, las organizaciones son valoradas por lo que saben. Conocer la organización, su cultura y cómo sus empleados se relacionan formal e informalmente, se hace fundamental para la elaboración de estrategias para implementación de una CG eficiente. El relacionamiento formal es fácilmente identificado en los organigramas de cualquier tipo de organización, por otra parte los relacionamientos informales, los cuales generan gran sinergia, son poco explorados como forma de compartir el conocimiento. El presente artículo objetiva presentar cómo ocurre el relacionamiento interpersonal en un gerencia general del CENPES (Centro de Pesquisas Leopoldo Américo Miguez de Mello), la cual desarrolla proyectos de ingeniería básica para la industria de petróleo y gas, identificando sus actores principales por intermedio de la técnica de análisis de las redes sociales (ARS). Se trató de revelar como la muestra de empleados está organizada, teniendo en cuenta cuatro factores de análisis, o sea: información, conocimiento, amistad y confianza. Para la obtención de los datos fue realizada una investigación por medio de encuestas aplicadas a los funcionarios de la unidad investigada. Para el análisis fueron utilizadas herramientas UCINET y NETDRAW. Como resultados se identificaron los actores principales de los cuatro factores de análisis y el relacionamiento entre los elementos del grupo. Se verificó un cuello de botella respecto a la transferencia de información y conocimiento, así como muy poca interacción entre las gerencias investigadas.

Gestión del Conocimiento; Análisis de las redes socials; Información y conocimiento

Macro structure	Definition	What represents in the network
Density	Is the quotient between the number of existing connections by the number of possible connections in a determined network.	Density represents the network potential concerning information flow, i. e. the largest the density, more intense is the information exchange
Geodesic distance	It is the shortest way between two actors.	Generally, it is the most efficient connection between two actors.
Diameter	It is the largest geodesic distance between any two pairs of actors in a network.	This measurement tells us how many steps are required to move from one side of the network to the other.
Micro structure	Definition	What represents in the network
Cohesion	Average of shortest ways between each pair of actors in the network.	It concerns the strong relationship between actors of a network, forming subgroups with bonds established by affinity.
Cliques	Definition inherited from the graph theory, where two or more actors choose all in the subgroup as pairs in their connections. The n-clicks, n-clans and k-plexes concepts are derivations of clicks.	Informally known as "cliques" in organizations.

Centrality Types	Definition	What represents in the network
Centrality	It is the measure of how accessible a determined actor is for the remaining actors of a network.	Actors with several connections with other actors have an advantage for owning multiple connection possibilities, generally, they are
In-degree Centrality	It is the measure of the number of connections that an actor receives from other actors.	Actors with high in-degree centrality are usually actors with high prestige in the network.
Out-degree Centrality	It is the measure of the number of connections that an actor establishes with other actors.	Actors with high out-degree centrality are usually power to influence in the network.
Closeness Centrality	It is the measure of the minimum number of connections that an actor needs to perform in order to establish a relation with any other actor of this network.	Actors with high level of proximity tend to receive information before other actors.
Betweenness Centrality	It is the measure based on the control performed by an actor over the interactions between two other actors.	The largest participation of an actor in the interaction control the highest is his power within the network.
Bonacich Centrality	It is the qualitative measure of centrality. since it considers not only the number of connections that an actor receives, but also analyzes which is connectivity of these other actors in the network.	A high Bonacich level indicates that an actor, in addition to having prestige, has power within the network The quality of connections is more important than their quantity.

SNA Metrics	Analysis Factors
	Information		Knowledge	Trust	Friendship
	Entry Information	Exit Information	Knowledge	Trust	Friendship
Macro Structure Analysis
Geodesic Distance
Diameter
Density %
Ego Centered Analysis
In-degree Centrality
Betweenneess Centrality
Closeness Centrality

Network Information
SNA Metrics	EI_Entry Information	ExI_Exit Information
Geodesic Distance	2.217	2.058
Diameter	5	4
Density	14.70%	18.34°o

EI	GG	GPEP	EPEP	EN	EG	FP	PPEP
GG	83%	25%	14%	18%	22%	15%	15%
GPEP	26%	27%	8%	5%	7%	13%	13%
EPEP	8%	3%	21%	1%	0%	2%	11%
EN	13%	5%	2%	35%	15%	1%	4%
EG	17%	12%	2%	12%	31%	3%	3%
FP	17%	19%	4%	9%	4%	55%	29%
PPEP	15%	19%	12%	7%	6%	23%	42%

ExI	GG	GPEP	EPEP	EN	EG	FP	PPEP
GG	83%	36%	19%	21%	22%	17%	15%
GPEP	31%	39%	12%	9%	10%	18%	16%
EPEP	17%	10%	42%	5%	4%	5%	18%
EN	18%	9%	1%	41%	22%	2%	3%
EG	17%	10%	1%	6%	30%	1%	2%
FP	28%	23%	7%	8%	6%	59%	25%
PPEP	25%	22%	16%	7%	6%	22%	55%

Escola de Administração da UFRGS Escola de Administração da UFRGS, Rua Washington Luis, 855 - 2° Andar, 90010-460 Porto Alegre/RS - Brasil, Fone: (55 51) 3308-3823, Fax: (55 51) 3308 3991 - Porto Alegre - RS - Brazil
E-mail: read@ea.ufrgs.br

Acompanhe os números deste periódico no seu leitor de RSS

[TFN1] Source: Adapted from Lago (2005)LAGO JÚNIOR, M.W. Redes Sociais Informais Intra-organizacionais e os Processos de Mudanças Organizacionais: Estudo em uma Empresa de Tecnologia da Informação. 2005. 251 f. Dissertação (Mestrado Profissional em Administração) - Universidade Federal da Bahia, Salvador, 2005.