Sources of Japanese competitiveness and growth

This paper examines the properties of a dynamic equilibrium model focused on sectoral specialization and dynamic competitiveness in international trade. Factors of competitiveness and growth were broken down into three parameters on the export side, two parameters on the import side, and two parameters on the productivity side. Furthermore, the relation between the growth rate of productivity and the wages index is examined. In the first period, 1960–1972, the rapid change in the structure of Japanese production and the composition of Japanese exports paralleled the rapid structural change in the international market and the rapid change in the prices of Japanese exports, stimulating Japanese exports to the international market. The engine of economic growth here is a significant technological change along with improvement of labor and capital productivity. In the second period, 1973–1996, factors such as improving the quality of production, cumulative experience, and the flexibility of price elasticity were crucial factors in increasing Japanese exports. Despite the decline in growth rate of technological change, the engine continued to grow and was supported by increasing the value of the economies of scale.     

A proposed configurable approach for recommendation systems via data mining techniques

This study presents a configurable approach for recommendations which determines the suitable recommendation method for each field based on the characteristics of its data, the method includes determining the suitable technique for selecting a representative sample of the provided data. Then selecting the suitable feature weighting measure to provide a correct weight for each feature based on its effect on the recommendations. Finally, selecting the suitable algorithm to provide the required recommendations. The proposed configurable approach could be applied on different domains. The experiments have revealed that the approach is able to provide recommendations with only 0.89 error rate percentage.