• Science & Technology Policy
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• v.2 no.44 s.44
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• pp.13-16
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• 1992

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.125-141
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• 2020

This study examines the effect of founders' strategic orientation and social capital on the performance of startups in Korean contexts. Founders' strategic orientation is proposed as the main factor to reduce the risk of failure and to increase the potential of future growth of the startup. Three main components of strategic orientation, entrepreneurial, market, technology, were simultaneously tested with a sample of Korean startups. Furthermore, founders' social capital, networks with supporting entities and the level of chemistry within founding members were also proposed to be important factors. We also tested possible mediating effects of social capital on the main impact of strategic orientation. With a sample of 79 startups founded less than 5 years in Seoul Metropolitan Areas, we found that technology orientation of founders only significantly increases the performance of startups, but both entrepreneurial and market orientation do not. Regarding social capital effect, the external networks of the founding members are effective as proposed, and also the high cohesiveness of founding members increases the startup performance. However, the mediating role of social capital is just partially confirmed. The implications of our findings, in both sense of firm's strategy and startup policy, are discussed. This study is expected to be a bridge connecting firms' strategy with startup policy-making in Korea.

• Korea Trade Review
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• v.47 no.6
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• pp.335-353
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• 2022

There are two aspects of digital trade: the digitalisation of goods/services being traded and the digitalisation of the transactional act. Digital data (i.e. machine-readable industrial data and transactional data) is the major driving force for both aspects of digital trade. Digital data is a non-rivalrous input, whether for production or marketing activities, and is thus able to be used by many firms or government agencies without limiting the use of others. Digital platforms provide online infrastructure for the interactions between groups, for instance, consumers and producers. The externality effect refers to the situation in which prosperity in one group on a given platform will improve the returns of other groups on the same platform. In the era of the data-driven economy, strategic trade policy can involve data-related policies. The major objective of these policies is to improve the competitiveness of domestic firms. For instance, firms may be subsidised if they use cloud services provided by specific platforms. This strand of strategic trade policies might be useful for increasing the competitiveness of small-and medium-sized enterprises (SMEs) via the digitalisation of production/marketing processes. Alternatively, strategic trade policy may also exploit the externality effect via platform economy-related policies. Further, some countries may form data coalitions to facilitate cross-border data flow. This paper uses cases in Asian countries to illustrate which role these strategic trade policies can play in the digital economy.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.156-175
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• 2013

This study examines the approach of socio-technical systems and strategic niche management. It reviews the characteristics of that approach such as multi-level perspectives, the views on technology, and policy orientation. It applies the approach to the long-term vision making in science and technological innovation, socio-technical planning, participatory R&D, and science communication in Innovation policy areas and suggests some policy implications.

• Journal of Environmental Policy
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• v.2 no.2
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• pp.17-40
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• 2003

The objective of this paper is to formulate strategies and action programs for developing sustainable agriculture in Korea. There is increasing evidence that agriculture has been preoccupied with increasing productivity much to the detriment of environmental degradation. The issue of increasing agricultural productivity so as not to undermine the environment is a difficult task. In reality, there are many definitions of sustainable agriculture and sustainable agricultural development. In this paper, sustainable agriculture is defined by its ability to ensure future supplies of agricultural products at acceptable economic and environmental costs to the society. Sustainable agriculture development refers to the optimal level of interaction among the three dimensions - the environmental, the economic and the social - through dynamic and adaptive processes of trade-off. In order to formulate the strategies for developing sustainable agriculture, three stage approaches such as strategic analysis, strategic choice, and strategic implementation are employed. The basic framework for strategies of sustainable agriculture development consists of five steps such as vision, targets, principles, action plan and policy instruments. The major action plans for activating formulated strategies are suggested as integrating agricultural and environmental policy measures, establishing the system of optimal agri-environmental resources management practices, establishing safe and high quality product system and its effective marketing system, increasing the R&D investment for developing sustainable agro-technology, developing indicators for measuring sustainable agricultural development, and taking a share in related roles for all parties including farmers, consumers, policy makers, researchers and NGOs.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.22-37
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• 2002

The importance of selecting the strategic research field is increasingly emphasized by research manager and technology policy-maker in perspective of the strategic allocation of R&D resources, employing the R&D personnel, and formulating technology policy. Among various methods for selecting the strategic research field, it is, however, very difficult to find the method that involves the path-dependant trend, and interdisciplinary nature of technology development. This study suggests modified technology cluster analysis (TCA) as a method for selecting strategic research field in order to include the recent technology trend in quantitative approach. TCA is the method that groups the near technologies of which the innovation pattern is similar. TCA model can be a very necessary method for multidisciplinary government research institutes (GRIs) which conduct multi research field with forward oriented positioning. It is more difficult for them to select the strategic research field mainly due to their diversity and intangibility of research scope. In this study, we applied this method to Korea Institute of Science and Technology (KIST) which represents the most adequate research institute in terms of research diversity and forwardness. As a result of the application, we found that seven main technology groups come from TCA analysis, coincide with the technology topics of KIST's recent R&D planning. Even though this method designed for multidisciplinary research institutes, but it also can be used for establishing the research strategy of other (private or public) Research Institute which have the similar mission and scope of research.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.151-173
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• 2006

This paper aims to explore the strategic roles of information and strategic planning capabilities for firms' performance, and to examine the direct and indirect relationships between information capability, strategic planning capability, logistics performance and competitive advantage. The present research adopts resource based theory (RBT) to explore the relationships between a firm's specific capability and its performance and employs structural equation modelling (SEM) in order to test the validation of the measurement models and examine the relationships between construct variables. The current empirical test was conducted using the data collected from logistics managers of 101 Korean electronics companies. The empirical research presents positive influential relationships between (1) information/planning formality capability and strategic planning capability; (2) strategic planning capability and logistics performance; (3) logistics performance and competitive advantage; and (4) competitive advantage and competitive position in the market.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.61-61
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• 1991

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

• Knowledge Management Research
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• v.11 no.5
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• pp.79-90
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• 2010

As the volume of South Korean trading increased, the pressure from the international community on South Korea to perform export control system for strategic items (ECS) increased as well. However, the South Korean government has been giving a tepid response toward the ECS, due to lack of the knowledge on psychological reactance of firms. This paper investigates the structural relationships between environmental factors and the attitude toward the ECS, and the adoption of the ECS. The author discuss the implications of the findings in this article which are useful for the government to find strategic policy direction.

• Korean Management Science Review
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• v.16 no.2
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• pp.61-77
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• 1999

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.