This paper compares technology foresight activities of Japan, Germany, Britain, France, Australia, and the Netherlands with those of Korea in terms of their motives and purposes, procedures and methods, and utilization of foresight results. From the comparison, it has been found that although the foresight programs were started from similar motives and purposes, different approaches were adopted from one another depending on the characteristics of national innovation systems, national S&T policy directions, and level of science and technology capabilities of the countries. On the basis of the lessons drawn from our study, some recommendations are made for future foresight activities in Korea: clarifying purposes of foresight activities, preparing utilization strategy at the planning stage, promoting participants' learning and methodological elaboration, and so forth. Implications for policy makers are also discussed.

Nowadays the role of region has been increased, as knowledge, science and technology become important in economic development. This paper argues that a system approach is needed to enhance regional S&T capabilities. Under the this approach, we can identify a concept of regional innovation systems as sub-systems of a national innovation system. This paper investigates Korean regional innovation systems based on R&D budget of regional governments. According to this paper, Korean regional governments' R&D investment is very insufficient. There were no co-relationship between regional governments' fiscal autonomy from the central government and their R&D investment. This paper argues that such a poor investment will restrict the future development of Korean regional innovation systems. Therefore, this paper suggests some strategic options for the development of regional innovation systems as follows. First, regional governments should increase their R&D budget. Second, their R&D efforts should be related with their specific industrial sectors. Third, they should target not only to create new promising industrial sectors but also to enhance technological capabilities of existing sectors. Fourth, their target group should be small and medium-sized enterprises. Finally, regional governments should adopt small and incremental approach to improve their innovation systems.

This paper looks at "network" aspects of research and development (R'||'&'||'D) with a special focus on small and medium (S'||'&'||'M) automotive part makers in Korea. It throws light on recent changes in the technological capability building mechanism of Korean automotive firms. The Korean automotive firms have mostly built up technological capability from scratch. It is widely acknowledged that they have benefited from two cooperative relations: namely (1) the close cooperative relationship with their own assemblers and (2) technical assistance from auto parts makers abroad. Too much emphasis on these two links can, however, keep us from understanding new developments. This paper argues that auto parts firms have diversified their networks for technological development. It is based on the analysis of the data drawn from the survey on technological development activities of small and medium sized firms, which was carried out by the Korea Federation of Small and Medium Business. Many automotive firms have recently increased joint R'||'&'||'D links with university and/or research institution while their reliance on foreign sources have decreased.

The main objective of this research is to examine the spillover effects of technological knowledge from IT industry to other industrial sectors and, based on empirical findings, to draw policy implications and suggest policy directions. To this end, we divide IT industry into IT equipment and IT service, assuming that these two sub-sectors are considerably different each other in terms of technology knowledge flow. Other industries are classified into 17 different sectors based on the KSIC of 1990. As the proxy measure of technological knowledge, the notion of R&D stock is employed. The Input/output(I/O) Table is used to define the inter-industrial flow pattern and to draw the knowledge flow matrix. As the research methodology, cost function model is employed to gauge the spillover effects of technological knowledge of IT industry. Based on the results of analysis, it is found that the economic impact of technology diffusion also exhibits a different pattern between IT equipment and IT service. The diffusion of IT equipment tends to show labor-substitution effect whereas IT service displays labor-creation effect. This fact should be considered in devising industry, education, and labor policy. The expectations from this research are as follows. First, the sectoral pattern, difference between IT equipment and service in particular, identified from this research may shed light on the sector-specific policy direction. It is emphasized that a sector-specific approach, rather than an aggregate approach, is relevant for formulating IT policy. Second, it is expected that the importance of technology diffusion programs and policy measures are recognized among policy makers in IT industry.

The main purpose of this study is to investigate the Korean adults' impressions of the SET(scientist-engineer-technician). The concept of impression is assumed to reflect our significant view of an object better than that of image. That is, the basic assumption is that we tend to behave toward an object, based on its impression which is conceived to be "significant." In September 1999, a national survey for 1,161 sampled adults was conducted to find the Korean general public's impressions of the SET. In addition, a sample of 206 SET persons were surveyed for comparison. Our major finding is that the Korean public has such a good impression that the SET contributes to advanced technology development and human well-being, is very smart and professional, and conducts research and experiment. Many other relevant things such as sources of impression and evaluations of SET professions were also surveyed. Finally, some policy-related implications based on survey results were presented at the end.t the end.

This study empirically examined the relationships between the growth stage of ventures and their business characteristics such as KSFs, environmental attributes, CEO roles, and utilization of external resources, based on data from 2,515 Korean ventures. ANOVA results of this study revealed that 1) Key success factors appeared different across the different growth stage of Korean ventures. Financial resources were most critical in the early stage of growth, while the foreign technology licensing appeared to be most important for the success of ventures at later growth stage; 2) As the Korean ventures grew, their environments became more dynamic and hostile; 3) Strategic and external activity roles of top management were critical in younger ventures, while roles for marketing and production were important in older ventures; and 4) Utilization of external resources were more frequent at the later stage of ventures than at the early stage of growth. Based on the research, this study offered several managerial, theoretical, and policy implications.

Management control is the process by which managers ensure that resources are obtained and used effectively and efficiently in achieving the organization's objectives. This paper explores relationships between characteristics of R&D and management control. R&D characteristics measured in this research include the degree of technological uncertainty and the measurability of outputs. Management control was classified and categorized into observable dimensions of control such as behavior, budget, process, results and personnel control. The relationships were tested with questionnaire survey data from a sample of 206 principal investigators(PIs) in the thirteen Government supported research institutes(GSRIs) in Korea. There are significant negative relations between the degree of technological uncertainty and budget, process and personnel control, and significant positive relations between the measurability of outputs and process, results and personnel control. These results indicate that the relations between task characteristics and management control in R&D are different from those to be found in other activities of organizations.

Activity-based costing(ABC) was developed in manufacturing companies. Recently, ABC has been also applied to cost analysis in service industries and government. In this paper, ABC is applied to research institutes, especially to cost management of government-supported research institutes. ABC is an effective tool in reengineering by removing non-value-added activities, costing R&D projects, managing indirect costs and evaluating performance in research institutes. A case of activity-based costing in a government-supported institutes is provided.

This study is to make clear the knowledge-based management perspective for knowledge companies and to find a way to measure intellectual capital of R&D organizations. Based on the state-of-the-art findings from business sectors, the intellectual capital is divided into three categories: human capital, structural capital, and customer capital. The fourth capital, infrastructural capital, is added in this study specifically for government sponsored R&D organizations, of which the main objectives are to foster technological innovation nationwide and to support its diffusion effectively, The result of this study can offer basic concept of under what categories they can be classified, which also can be used further to find the right indicators of intellectual capital specific to each organization by combining the items found in this study.