Academic literature on the topic 'Signapore'

In this thesis, the management of product information in concurrent design systems has been investigated with particular reference to product development in small and medium enterprise (SME) industry and design education at polytechnic level in Singapore. From a critical review of the relevant literature on product design and development processes, concurrent engineering, concurrent design systems, product data management and related methods, it is found that there is a clear need for a new design of a system for organizing and managing product information in a concurrent design environment in the above contexts. This finding has led to the development of a conceptual rationale, termed the Design Tensor Method, and the design and development of an innovative product information management system called PRIMAS. PRIMAS is a systematic methodology for the classification, organization, integration, communication, storage and management of product information in the product development process. A software prototype based on PRIMAS has been subsequently developed. PRIMAS along with its conceptual principles have been applied and tested in a product design project in a tertiary educational institution and in two significant industrial product development projects based respectively in two SMEs. Positive evaluation feedback on PRIMAS has been obtained in these studies. The product development projects investigated with PRIMAS have also produced outcomes that meet the original specified design requirements. The findings from this research have led to the conclusion that PRIMAS is a viable product information management system that can be used effectively for managing product information in concurrent design projects in SME industry and design education. Substantial PRIMAS databases of useful product information have been compiled for the product development projects investigated with PRIMAS. Finally, recommendations are made for future research.

碩士
逢甲大學
財稅所
97
Several cross-country studies have found that corruption is harmful to economic growth. However, regarding to corruption-economic growth nexus there are two schools keeping opposite views. This paper adopting panel data and Panel vector autoregression model from 1995 to 2008 empirically investigates the effect of corruption on economic growth for Singapore, Hong Kong, Taiwan, and South Korea. Besides, we also estimate the economic growth fairly by utilizing the corruption perceptions index (CPI) of Transparency International and other economic variables, which include the index of economic freedom, investment rate, unemployment rate and growth rate of export, are used to estimate the economic growth. Using empirical analysis, we found that corruption has a negative, statistically significant effect on economic growth rate. According to empirical result, if a country were to improve its score in the CPI by 1 point (out of 10), growth rate of per capita GDP would enhance by 5 percent. In addition, index of economic freedom and growth rate of export are significantly positive effect on economic growth. On the other hand, unemployment rate and investment rate are insignificant effect on economic growth, but not indicate unemployment rate and investment rate not relative to economic growth.