Determinants of successful knowledge transfer: Unveiling social exchange theory insights on knowledge velocity and viscosity in enterprises

Corporate knowledge becomes enterprise strategic resources for sustaining corporate competitiveness by transferring irreplaceable diversified knowledge among employees. One key challenge for enterprises is to ensure that employees mutually and effectively share knowledge. This study integrates a social exchange perspective to understand key factors conducive to successful knowledge transfer in two dimensions: velocity and viscosity. Three key construct areas are examined for influence on the two dependent variables: micro levels (individual and group), macro level (organizational), and knowledge factors. 225 knowledge management system users in 15 companies were surveyed. A path analysis was used to validate 17 proposed hypotheses, with four major findings reported as results: 1) all eight predictive factors exhibited significant influence on both dependent variables; 2) measures of both dependent variables persistently increased with positive influence from common factors of articulability, incentives and training; 3) the organization must consider differential effects of knowledge, individuality, and organization on the two dependent variables; and 4) some factors potentially negatively affect dependent variables. For example, excessive interaction may decrease velocity, while employees with high perceived self-efficacy may decrease velocity and viscosity.

Institutions

Publication Details

Journal
Knowledge Management & E-Learning An International Journal
Published
2024-09-30
DOI
https://doi.org/10.34105/j.kmel.2024.16.026
Citations
1
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of successful knowledge transfer: Unveiling social exchange theory insights on knowledge velocity and viscosity in enterprises

1 citations
Knowledge Management & E-Learning An International Journal
Knowledge Management and Sharing
0.96
article

Determinants of successful knowledge transfer: Unveiling social exchange theory insights on knowledge velocity and viscosity in enterprises

article en
1 citations

Abstract

Corporate knowledge becomes enterprise strategic resources for sustaining corporate competitiveness by transferring irreplaceable diversified knowledge among employees. One key challenge for enterprises is to ensure that employees mutually and effectively share knowledge. This study integrates a social exchange perspective to understand key factors conducive to successful knowledge transfer in two dimensions: velocity and viscosity. Three key construct areas are examined for influence on the two dependent variables: micro levels (individual and group), macro level (organizational), and knowledge factors. 225 knowledge management system users in 15 companies were surveyed. A path analysis was used to validate 17 proposed hypotheses, with four major findings reported as results: 1) all eight predictive factors exhibited significant influence on both dependent variables; 2) measures of both dependent variables persistently increased with positive influence from common factors of articulability, incentives and training; 3) the organization must consider differential effects of knowledge, individuality, and organization on the two dependent variables; and 4) some factors potentially negatively affect dependent variables. For example, excessive interaction may decrease velocity, while employees with high perceived self-efficacy may decrease velocity and viscosity.

Knowledge Management & E-Learning An International Journal
Thammasat University (TH), National Chung Cheng University (TW), Providence University (TW), Appalachian State University (US)
Openalex Percentile: Top 21%
Knowledge Management and Sharing
0.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.