Impact of Knowledge Sharing Determinants on Improving Performance of Facilities Management

The delivery process for facilities management (FM) is critical during operational and maintenance stages when it ensures that all facilities are at their best performance in support of organization business operation. Since this stage takes place in a very complex and uncertain environment, an effective approach must be used to ensure successful FM. Most organization know of the importance of knowledge sharing (KS) to organizational performance; thus, the main purpose of this research is to examine the impact of KS determinants on improving performance of FM. The primary method used in this research was a deductive approach that strategically used a questionnaire survey technique to collect data. A set of questionnaires was developed and distributed to targeted respondents who were directly involved in FM operations. The response rate from these surveys was high at 74%. Data were analyzed using structural equation modelling and SmartPLS 3.0 software. Results showed that working culture, staff attitude, motivation to share and opportunities to share had significant impacts on improving performance of FM operations, while the nature of knowledge to share did not significantly impact FM operational performance. Thus, this research proposed a KS model for improving FM operations.

The delivery process for facilities management (FM) is critical during operational and maintenance stages when it ensures that all facilities are at their best performance in support of organization business operation. Since this stage takes place in a very complex and uncertain environment, an effective approach must be used to ensure successful FM. Most organization know of the importance of knowledge sharing (KS) to organizational performance; thus, the main purpose of this research is to examine the impact of KS determinants on improving performance of FM. The primary method used in this research was a deductive approach that strategically used a questionnaire survey technique to collect data. A set of questionnaires was developed and distributed to targeted respondents who were directly involved in FM operations. The response rate from these surveys was high at 74%. Data were analyzed using structural equation modelling and SmartPLS 3.0 software. Results showed that working culture, staff attitude, motivation to share and opportunities to share had significant impacts on improving performance of FM operations, while the nature of knowledge to share did not significantly impact FM operational performance. Thus, this research proposed a KS model for improving FM operations.