Assessing the Knowledge Sharing in Terms of Risk Level In-House Service Sector Assisted with Logistic Regression Model

Abstract

There is an increasing emphasis on the importance of knowledge sharing for organizational performance and effectiveness both private and public sectors thorough the dimension of globalization. Knowledge sharing activities creates opportunities for business and organizations to gain sustainable competitive advantage in the market place. The aim of this study is to analysed and examined effectiveness of knowledge sharing in service sector from the side of employee's perceptions. Logistic regression model is applied in this study. Before the factors that affecting in-house knowledge sharing has been identified, after then these factors have been ranked according to their risk levels. The highest risk in knowledge sharing in-house has been found the role of top management which ranked according to the level of risk. The second highest risk in knowledge sharing in-house has been seen on the technological infrastructure and information systems of knowledge sharing. Third place risk in knowledge sharing in-house has been seen on trust and relationships between employees and managers. Fourth degree of risk in knowledge sharing in-house has been found the nature of knowledge and comprehension of the strategic importance of knowledge. The lowest risk in knowledge sharing in-house has been found on intrinsic motivation.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 8 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.