Econometric Data Analysis Affecting Performance of Supply Chain Systems in the Petroleum Industries in Kenya

Abstract

The purpose of this paper was to do econometric data analysis on performance of supply chain systems in the petroleum industries in Kenya. Specifically, the objectives of the study were to establish whether there is any effect from; level of skills, information and communication technology and tendering systems and the moderating factor have an effect on supply chain systems performance. The study was conducted using a survey design. The total population of all oil companies in the 73 was covered by the study.  Several studies were carried to validate the final findings.

Finally, this statistics concluded that there is need to do econometric data analysis to validate the effect of supply chain systems on performance by doing proper forecasting from the up streams to the down streams towards achieving a competitive edge in the business markets such as the petroleum industry. The econometric analysis focused on the these areas;  Information functions in order to inform management, support decision making and to identify  problem areas; Steering function in order to set targets and give directions to desired outcomes; Controlling function in order to supervise process execution.