This paper investigates the effects of various R&D investments on economic growth empirically. To this end, the relationships between various R&D investments and economic growth are analysed, and the rates of return of R&D investments are estimated. Furthermore, the effect of government R&D investment on private sector R&D investment, and the effect of social factors, which affect the relationship between the R&D inputs and economic growth, are analysed. Based on the results of this analysis, a simulation model is developed, which shows the relationship between R&D investments and economic growth rate; this model is verified by analysing the correlation between the actual and the estimated economic growth rate, using the data between 1981 and 1995 of eight selected countries. The validation results show that the simulation model has sufficient accuracy to be used for evaluating and proposing R&D policies for the countries for which appropriate data is available. However, the time-lag effect, which is naturally believed to exist between the R&D input and the economic growth, could not be analysed in a mathematical form, because of the lack of the data to establish this relationship. Thus, when estimating the relationship between them, the time-lag effect in this relationship was included implicitly by using the data of fifteen years.

This paper presents a R&D investment model for Information and telecommunications (I&T) technology, which can be used by group decision makers, using multiple objective linear programming (MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. The presented problem in this model can be formulated as a problem of optimizing a linear function over an efficient set of MOLP. Its application to the National R&D Project in I&T Industry is also presented. In this application, the Analytic Hierarchy Process (AHP) is proposed to estimate the weights, which are used as the coefficients in each objective function of the MOLP model and in a linear decision function. By solving this problem, it yields a suitable R&D investment ratio to each technology field. It is showed that the MOLP model can be useful decision aid in formulating R&D investment plan in I&T industry which needs to be decided by group decision makers, not by an individual. It is expected that the MOLP model works as the basis for planning R&D investment strategy in I&T industry.

Technology has always been the force multiplier that influenced production and effected increase in the standard of living. The difficult choices involved in developing and implementing new technologies are recognized, but the right choice is rarely well defined and progress is often subject trial and error. The process of managing technologies to create wealth is called MOT. MOT is proposed as the central link for knowledge drawn from engineering, business, science, and corporate practice. One academic response to global competition is the creation of graduate program in MOT that have different academic and experience requirements. The purposes of this paper can be divided into two categories: how about the realities of MOT programs in Korea and what is the recommendation for universities to introduce this program.

This article is concerned with the importance of organisation management and its characteristics in business performance in SMEs, and tested by four main aspects: managerial strategies, organisational structure, leader behaviour, and R&D activities. These relationships were tested with questionnaire data from a random sample of 87 firms. Results from simple statistics on each issue showed that SMEs have focused on the corporate growth and management goals, the democratic leadership, decentralisation in organisational structure, and the technology development plans. Results from correlation analyses not only found significant relationships between managerial strategy and R&D activities but also showed differences in R&D activities according to structural status or leadership style, respectively.

Factory automation(FA) is a part of technological innovation to make production process more efficient and it also facilitates technological innovation by accumulating the internalization ability of newly imported technology Introduction of FA, however, does not guarantee the increase of production efficiency and high product quality, moreover, the competitiveness of firm. The purpose of this paper is to analyze the relationship between firm's behavioral characteristics during implementation process of FA and organizational performance, and to find out success factors of FA. Results of the case studies for 4 SME's show that financial stability and the fitness between corporate strategy and the purpose of FA are the necessary conditions for successful implementation of FA. But the organizational restructuring for new manufacturing system, openness of all communication channels, and common mind of employees are also needed to achieve the high degree of performance from FA, especially the benefits of qualitative or organizational level.

Recently, knowledge management(KM) has attracted increasing attention from academicians and practitioners alike. Amongst others, technological knowledge(TK) is considered principal asset of KM and R,&D organization of private firms selves as primary actor of KM. It is also noted that the notion of sectoral pattern of innovation highlights idiosyncratic differences across industrial sectors in terms of TK management. That is, knowledge contents, knowledge generation and How pattern are considerably different among industries. This paper first analyzes the correlation between structural of R&D organization and industrial(sectoral) type to identify the dominant structure of R&D organization for each industry. Second, sector-specific architectures of TK management system are proposed. According to structural characteristic of R&D-organization type, test-practice forms of TK management system are suggested in terms of such factors as knowledge contents(technology information), knowledge generation activities, and knowledge storage/retrieval modes.