Design and Application of Information Incentive Mechanism in Operation of Logistics Information Platform

With development of 5G, information economy era marked by IoT has come rapidly and it is the objective always pursued by logistics industry to improve informatization level. During the process of logistics informatization, all levels of governments and enterprises have taken construction of public logistics information level as the main direction of logistics informatization investment. How to build a set of effective information incentive mechanism is the joint pursuit of many logistics information platform administrators. On the basis of principal-agent model, information incentive mechanism is designed in the Paper. At the same time, necessary analysis of information incentive factors is carried out. The research indicates that, with traditional incentive measures, logistics information platform administrators can better stimulate logistics information providers and improve precision of logistics information by virtue of information incentive measures; during the process of informatization, logistics information platform administrators also need to build a supervision system on the basis of certain punitive measures.

INFLUENCE OF TRANSPORT AND FLEET RATIONALIZATION ON PERFORMANCE OF STATE CORPORATIONS IN KENYA

Purpose: The purpose of the study was to assess the influence of transport and fleet rationalization on performance of state corporations Kenya. Methodology: Descriptive research design was adopted because it allowed an in-depth study of the subject. The target population was all the 187 state corporations in Kenya. Questionnaires were administered to collect qualitative and quantitative data from a sample of 127 heads of transport and logistics department among state corporations operating in Kenya, who were selected using simple random sampling, from the four strata. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 21 to generate information which was presented using charts, frequencies and percentages. Results and conclusion: The response rate of the study was 76%. R square value of 0.715 means that 71.5% of the corresponding variation in performance of state corporations in Kenya can be explained or predicted by (logistics information management, consignment management, distributor base management, transit management) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.715), p=0.000 <0.05). The findings of the study concluded that logistics information management, consignment management, distributor base management and transit management have a positive relationship with performance of state corporations in Kenya. Policy recommendation: The study recommended that state corporations should embrace transport and fleet rationalization aspects so as to improve performance and further researches should to be carried out in other firms to find out if the same results can be obtained.

ERP System in the Logistics Information Management System of Supply Chain Enterprises

In the era of rapid development of information, with the popularization of computers, the development of science and technology, and the continuous growth of IT technology and business, the enterprise resource planning (ERP) system has become a platform and guarantee for the completion of business management processes after long-term operations. Establishing a logistics management information system is an important means for Chinese companies to improve their logistics efficiency. This is the prerequisite for modern companies to gain a competitive advantage in the management of logistics companies. Therefore, organizations must adapt to different needs, fierce competition, and rapid strategic changes. This is a powerful supplement to the nature of logistics companies. The logistics management information system has continuously experienced the processes of MRP, MRP II, and ERP. This article aims to study how to use computers in logistics management to create an ERP system-based enterprise logistics information management system. This article puts forward the development significance of logistics information management system, uses ERP system to analyze complex logistics business in detail, and designs the overall framework, specific functions, and data model of the system in detail. The experimental results of this paper show that the ERP system has important application value in the logistics information management system of supply chain enterprises, and it can effectively increase the value of customer satisfaction by 86.7%.