TY - JOUR
T1 - Success model for knowledge management systems used by doctoral researchers
AU - Un Jan, Alberto
AU - Contreras, Vilma
PY - 2016/6/1
Y1 - 2016/6/1
N2 - © 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.
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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U2 - 10.1016/j.chb.2016.02.011
DO - 10.1016/j.chb.2016.02.011
M3 - Article
SN - 0747-5632
SP - 258
EP - 264
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -