Examining the factors influencing knowledge management system (KMS) adoption in small and medium enterprises SMEs

The potential for the adoption of a knowledge management system (KMS) is becoming a crucial matter in small and medium enterprises (SMEs); however, there is a scarcity of studies related to KMS adoption in SMEs. Therefore, the purpose of this paper is to advance further our understanding of the factors that influence the KMS adoption process among SMEs.

The collected sample size was 247 respondents. For statistical analysis, Smart partial least square (PLS) (a structural model-based tool) was used to build, run and validate the process model. PLS regression techniques were used to analyze the latent constructs. Smart PLS exhibits both the measurement model and the structural model.

The results indicate that knowledge management capabilities, knowledge sharing, organizational learning capabilities and IT capabilities are the significant factors which influence KMS adoption. This study also identifies some unexpected results.

The number of responses obtained from the survey was rather small. However, a larger number of responses would probably have resulted in a more accurate finding. Additionally, this study should be verified via a larger sample to increase its generalization.

The result of this study will provide SMEs with valuable guidelines to better understand what factors should be considered as highly important and thus providing decision makers and managers with valuable insights to increase the adoption level of KMSs.

The study addresses the research gap by developing and empirically validating a research model of KMS adoption from a different perspective that incorporates critical issues which have never been simultaneously examined.