• Journal of Technology Innovation
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• v.12 no.2
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• pp.1-19
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• 2004

This paper focuses on the significant issues of technological capability development of latecomer firms, and government policies enabling such firms to attain certain level of technological capability. The survey and case studies of manufacturing firms in Thailand were conducted to substantiate and investigate the process of technological capability development of latecomer firms. The analysis portrays a dynamic view of technological capability development that comprises three key elements namely strategic capability, internal capability, and external linkage capability. The paper, subsequently, discusses and suggests a tentative taxonomy of government policies and measures to support firms' technological capability development.

• Industrial Engineering and Management Systems
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• v.12 no.1
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• pp.63-72
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• 2013

The aim of this paper is to analyse the impacts of R&D cooperation and obstacles to technological innovation on the innovation failure of the Korean manufacturing firms. Two hierarchical regression models including interaction variables are employed for the analysis. Some interesting findings are: first, almost all the obstacles have positive and significant effects on the failure. Second, R&D cooperation positively or negatively moderates the impact of obstacles to technological innovation on the innovation failure, although R&D cooperation itself is not directly related to the failure. Third, the interaction effects between the cooperation and the obstacles influence the failure in various manners. This study is expected to help manufacturing firms which are under unfavourable environments to formulate their cooperation strategies successfully based on what they learn from the failure.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.73-97
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• 2004

This paper explores the relationship between technological characteristics within process innovation and selection of the firms of different organizational forms in the evolution of an industry. For this purpose, this paper develops a simulation model for industrial change that replicates dynamic competition for process innovation. The simulation analysis found the following causal relationship. First, the stronger innovation impact in terms of productivity jump tends to enlarge the productivity difference among the incumbent firms and increase the speed of productivity catch-up by the large diversified firms, Second, the possibility of entry, and eventual dominance by the large diversified firms increase when the innovation-productivity linkage is stronger and there is less cumulativeness in productivity determination. These results imply that technological characteristics are important factors that have influence on whether or not the large diversified firms can enter and succeed in an industry.

• Proceedings of the Technology Innovation Conference
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• 1993.11a
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• pp.119-147
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• 1993

This paper explores the relationships between technological acquisition strategies of small firms and innovation in the Korean Electronics industry. Its thesis is that small firms' technology strategies and their effects on the rate of innovation differ according to the new and traditional technology settings. A primary finding of this study is that in-house R & D and technical linkages with buyers and suppliers have stronger effects on the radical innovation in the new technology setting rather than in the traditional technology setting. The findings of the study provides insight for interpreting inconsistent results of recent research for the importance of external linkages to innovation. They also suggest some implications of small firms' strategies and public policies for accelerating technological innovation.

• Asia Marketing Journal
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• v.25 no.1
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• pp.37-44
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• 2023

Firm innovativeness and financing capacity are critical signals to stakeholders as they are key drivers of firm performance and competitiveness and indicate the firm's ability to fund its operations and growth initiatives. Based on signaling theory, this study investigates the signaling effect of a firm's innovativeness and creditworthiness and examines its signaling effectiveness. Using Korean innovation data and Korea Investors Service financial data for nine years, the findings indicate that a firm's technological innovation has a negative impact on its credit ratings, while non-technological innovation has a positive impact. Furthermore, a firm's credit ratings positively impact its performance. The current study contributes to the literature on signaling theory by exploring the signaling effect of a firm's innovativeness and creditworthiness. The findings provide insights for managers on how to send and monitor signals to stakeholders.

• Asia Marketing Journal
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• v.16 no.3
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• pp.35-56
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• 2014

With rapid change and intensive competition in the global economy, the capability to capture, absorb, develop, and transfer new knowledge is a key organizational success factor. Through effective learning, companies are more likely to develop the innovation, quality, and responsiveness essential to meet the growing expectations of customers and the disruptive threats of competitors and new technologies. In the paper the role of technological innovation and its relationship to organizational learning in managing technology-based new products are examined. Several factors which can influence the rate and effectiveness of organizational learning are identified. Barriers to learning also are discussed. Finally, several managerial implications and propositions for future research on learning and technological innovation are advanced.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.33-58
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• 2010

This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.431-465
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• 2011

Focusing on open innovation which is regarded as an important framework for strengthening technological innovation capabilities, in this study empirical analysis is conducted on Korean manufacturing companies, particularly based on the survey results of 149 domestic manufacturing companies that carry out innovation activities in order to identify influence factors for open innovation activities. Analysis on the influence factors of open innovation activities categorized into characteristics of environment, firm-specific characteristics, and characteristics of institutions revealed that characteristics of environment in terms of the degree of market competition and technological changes influence outside-in open innovation activities. Such results suggest that companies respond to increased market competition or technological changes by promoting research and development (R&D) and maintaining or acquiring market competitiveness through introduction of external technology and utilization of external information by means of research collaboration, user innovation, and so on. In terms of firm-specific characteristics, outside-in open innovation activities are influence by R&D personnel, R&D investment, number of international business, export, and openness of corporate culture while inside-out open innovation activities are influenced by characteristics of international organization and CEO's capabilities. In order for companies to strengthen outside-in open innovation activities emphasis on research personnel, R&D input factors such as research funds are necessary whereas to increase inside-out open innovation activities organization solely responsible for international affairs should be established while the CEO needs to focus on open and cooperative entrepreneurship rather than internal technological innovation activities. In terms of characteristics of institutions, outside-in innovation activities are influenced by technological networking whereas inside-out innovation activities are influenced by networking for development of technology and the presence in industrial cluster. This means that the government needs to establish industrial clusters and try to expand technological networking to facilitate open innovation activities.

• Knowledge Management Research
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• v.24 no.4
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• pp.103-129
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• 2023

This study aims to analyze the network structure of technological innovation resources in SMEs, especially manufacturing firms, and reveal the differences between innovative and non-innovative firms. The study first analyzes connection centrality, flow-mediated centrality, and power centrality for all firms, and derives structural equivalence through CONCOR analysis. Then, the network structure of innovative and non-innovative firms was compared and analyzed according to innovation performance and creation. The results show that entrepreneurship and corporate innovation strategy have a significant impact on the analysis of technological innovation resources of all firms. According to the CONCOR analysis, the innovation resources of SMEs are organized into seven clusters, which can be defined as intrinsic product innovation resources, competitive advantage promotion resources, cooperative activities resources, information system resources, and innovation protection resources. The network analysis of innovative and non-innovative firms showed that innovative firms focused on enhancing competitiveness and improving quality, while non-innovative firms tended to focus more on existing products and customers. In addition, innovative firms had eight clusters, while non-innovative firms had six clusters, suggesting that innovative firms utilize resources diversely to pursue structural change and new value creation, while non-innovative firms operate technological innovation resources in a more stable form. This study emphasizes the importance of entrepreneurship and corporate innovation strategy in SMEs' technological innovation, and suggests that strong internal efforts are needed to increase innovativeness. These findings have important implications for strategy formulation and policy development for technological innovation in SMEs.

• Asian Journal of Innovation and Policy
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• v.9 no.2
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• pp.133-144
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• 2020

Korean economy has experienced a very rapid growth largely due to the change of the innovation system since the last half century. The recent outbreak of COVID-19 impacts the global economy as well as Korea's innovation system. In order to understand the influence of the shock to the Korean technological system, we have forecast the future of the system combining qualitative and quantitative techniques such as expert panel, cross impact analysis, and scenario planning. According to the results, we have identified 39 driving forces influencing the change of Korea's technological innovation system. Four scenarios have been suggested based on the predetermined factors and core uncertainties. In other words, uncertainties of emergence of the regions and global value chains generate four scenarios: regional growth, unstable hope, returning to the past, and regional conflicts. The 'regional growth' scenario is regarded as the most preferable, whereas the 'regional conflicts' scenario is unavoidable. In conclusion, we put forward some policy implications to boost the regional innovation system by exploiting the weakened global value chains in order to move on to the most preferable scenario away from the return to the past regime.