Organizations share knowledge in order to achieve its strategic objectives and enhance innovative performance, most important business process and critical knowledge are subjected to unwanted leakage. This study focused on the aspects and concerns associated with knowledge sharing within and outside organizations. To achieve this objective, the study construct, validate, and test the structure equation modeling for knowledge sharing, knowledge leakage, and innovation performance. A survey was designed and the data were collected in 2015 from managers and owners of 600 industrial companies in KSA. The total responses were 276. Confirmatory factor analysis was used to validate the constructs, then subjected to structure equation modeling to test hypothesis. Model fit parameters indicated normal fit and suitability as the research model. Finding indicated that knowledge leakage negatively mediate the positive impact of knowledge sharing on innovation performance, and some of leakage may be beneficial and have a positive impact, especially when sharing knowledge with customers and competitors in order to develop market innovation. Theoretical implication supplement few empirical studies that shown knowledge leakage as mediator leads to minimize positive results of knowledge sharing. Since KSA recently began the transition to knowledge economy, where much of knowledge sharing occurs dramatically, the study provides analytical framework for Managerial and practical implication about important aspects of knowledge sharing, the method and measures proposed by this study allow organizations to map, formalize and measure their knowledge activities, model can be applied in corporate level to identify the specific impact among organizational units and company's networks.

This study investigates the impact of business analytics (BA) on supply chain performance (SCP) in Saudi industrial companies. It also investigates the mediating impact of information systems supporting (ISS) and business process orientation (BPO). A total of 373 respondents working in 38 manufacturing companies in the Kingdom of Saudi Arabia (KSA) were selected. A scale with acceptable validity and reliability indicators was developed to measure the study variables. The results indicated significant indirect impact of the business analytics (planning, supply, make, delivery) on supply chain performance as ISS and BPO mediate this impact. Based on the results, a set of recommendations were proposed, industrial companies in KSA must develop the analytical capabilities for managers by increasing awareness of the benefits achieved from using business analytics approaches. It is a critical precedent for supply chain SC efficiency, and for companies to enhance their analytical capabilities with good ISS and process orientation to utilize in analyzing vast amounts of internal and external data. Directions for future research are also presented in this paper.