Success model for knowledge management systems used by doctoral researchers

Alberto Un Jan, Vilma Contreras

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

11 Citas (Scopus)

Resumen

© 2016 Elsevier Ltd. All rights reserved. The purpose of this paper is to propose a model to anticipate the success in the use of a Knowledge Management System (KMS) by doctoral researchers. Doctoral researchers who are preparing their doctoral dissertation are requested to prepare a tool to manage the knowledge they are collecting. The tool is based on data base techniques, and the researchers will use this tool to collect data about the knowledge they use. Doctoral researchers will perceive satisfaction in the use of this tool, depending on internal aspects that they could previously perceive, such as ease of use, usefulness, or quality. Also, there could be external aspects such as rewards, trust and social norms that could affect the perceived satisfaction. As a conclusion, the correct identification of internal and external aspects can improve the success in the use of a KMS.
Idioma originalInglés estadounidense
Páginas (desde-hasta)258-264
Número de páginas7
PublicaciónComputers in Human Behavior
DOI
EstadoPublicada - 1 jun 2016

Huella dactilar

Knowledge Management
Knowledge management
management systems
researchers
Research Personnel
Reward
Databases

Citar esto

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Success model for knowledge management systems used by doctoral researchers. / Un Jan, Alberto; Contreras, Vilma.

En: Computers in Human Behavior, 01.06.2016, p. 258-264.

Resultado de la investigación: Contribución a una revistaArtículoInvestigaciónrevisión exhaustiva

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AB - © 2016 Elsevier Ltd. All rights reserved. The purpose of this paper is to propose a model to anticipate the success in the use of a Knowledge Management System (KMS) by doctoral researchers. Doctoral researchers who are preparing their doctoral dissertation are requested to prepare a tool to manage the knowledge they are collecting. The tool is based on data base techniques, and the researchers will use this tool to collect data about the knowledge they use. Doctoral researchers will perceive satisfaction in the use of this tool, depending on internal aspects that they could previously perceive, such as ease of use, usefulness, or quality. Also, there could be external aspects such as rewards, trust and social norms that could affect the perceived satisfaction. As a conclusion, the correct identification of internal and external aspects can improve the success in the use of a KMS.

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