• Journal of Technology Innovation
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• v.17 no.2
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• pp.81-107
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• 2009

The Korean government provides a variety of supporting programs with firms to promote technological innovation which is a main driver of economic growth. The existing literature on technological innovation has mainly focused on analysis about determinants of successful innovation and effectiveness of a specific policy measure. However, there is no study deals with characteristics of policy demanders. For this, this study investigates the relationship between barriers and policy measures in technological innovation using the logistic regression analysis method with raw data of Korean Innovation Survey (KIS). The findings from this analysis show that barriers of technological innovation are meaningful variables to determining whether firms adopt a policy measure, although there are some differences according to policy types. Cost barriers increased the probability that firms adopt support programs regardless of policy types. Also, the more firms encounter cooperation barriers, the more likely firms utilize supporting programs in regard to technological advice and information.

• 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.13 no.2
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• pp.97-131
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• 2005

This paper has discussed several issues regarding the barriers and opportunities for technological catch-up by the late-comer countries and firms. As one of the barriers to technological catch-up, the paper emphasizes the uncertainty involved with the third stage of learning how to design. The barriers arise because as the forerunner firms refuse to sell or give license to successful catching-up firms who thus have to design the product by themselves. The paper discusses how to overcome this barrier. It also notes that if the crisis of design technology is a push factor for leapfrogging, arrival of new techno-economic paradigm can serve as a pull factor for leapfrogging, serving as a winder of opportunity. The, it emphasized the two risks with leapfrogging, namely the risk of choosing right technology or standards and the risk of creating initial markets, and how to overcome these risks. It discusses how to overcome these risks in leapfrogging, and differentiates diverse forms of knowledge accesses. Then, the paper takes up the issue of whether there can be a single common or several models for catch-up. A common element of catching-up is to enter new markets segments quickly, to manufacture with high levels of engineering excellence, and to be first-to-market by means of the best integrative designs. This observation is supported by the fact that Korea and Taiwan has achieved higher levels of technological capabilities in such sectors as featured by short cycle time of technology. The possibility of two alternative models for catch-up is also discussed in terms of the key difference between Korean and Taiwan, especially in the position toward the source of foreign knowledge and the paths taken toward the final goal of OBM. Taiwan followed the sequential steps of OEM, ODM and OBN, in collaboration or integration with the MNCs. Korean chaebols jumped from OEM directly to OBM even without consolidating design technology.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.38-64
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• 2002

This paper presents research linking national culture and innovation. The research identifies how key features of Korean culture, collectivism and hierarchical authoritarianism, affect technological innovation. This perspective casts new light on cultural research that, while generally confirming national culture-innovation ties at the organization level, has had less success accounting for culture barriers to innovation in collectivist nations, especially at the interorganizational level. The data for this study was obtained from interviews and written sources. The paper introduces the concept of the social shaping of technology, with which the influence of culture on technological innovation is analyzed, and highlights the development of EDI systems in the collectivist Korean society. It draws attention to the interorganizational basis of collectivism and authoritarianism in the technology innovation process. Finally, Korean innovation systems are questioned, and some negative effects of the collectivist Korean culture at the interorganizational level are discussed.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.360-380
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• 2015

Technological innovations, as the key to building competitive advantage, need a comprehensive review to address the issues related to transformation of the Indian industries. The present paper reports the broad findings of the first National Innovation Survey undertaken by the Department of Science and Technology, Government of India. The findings presented here highlight the status of innovation related activities in different industrial sectors, its weaknesses, and areas requiring institutional interventions. The survey results underline the fact that the innovation activities in Indian industries are more for survival in a competitive market conditions than to create market advantage. A sort of disconnect between the innovation support system and the production system is a discernible fact that surfaces from the study. The study also indicates certain characteristics of the innovation behaviour of firms that brings out developing country issues of innovation.

• Asian Journal of Innovation and Policy
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• v.9 no.1
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• pp.79-94
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• 2020

This study reviews how an aging society can be connected to the urban-built environment, transportation system, infrastructure, and climate change topics from the perspective of policy and innovation in science and technology. Each topic was described with the aging society that we will encounter in the near future. Based on the expected discussions, we suggested how policy and technological innovations may interact with the new emerging society. Especially, digital transformation is expected to hyper-connect the aging society beyond physical barriers where numerous policies and innovations in science and technology shed light on the elderly population. We observe, however, that this cannot be achieved only by the government sector; rather, municipal governments and local communities, as well as private sectors, all together need to prepare for the new society of the aging population. Furthermore, an ideal approach is to accommodate multidisciplinary studies that can address the policy and technological innovations simultaneously and collectively. By doing so, we can minimize the negative impacts when an aging society approaches.

• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.373-388
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• 2018

Recently, the importance of technological innovation has increased for securing competitiveness and for the survival of companies. On the other hand, obstacles that enterprises face during the course of technological innovation have diversified. Through prior studies, various innovation sources and government support systems are considered important factors in resolving these obstacles as well as securing technological innovation and competitiveness. However, these studies face criticism concerning various relationships between the influencing factors and the use of simple causal models. In this study, the effects on performance were analyzed based on a structural equation model. For analysis, 1,251 observed values were collected from the "2014 Korean Innovation Survey: Manufacturing Sector". Results found that obstacles to technological innovation in terms of fund, capacity and market promote the use of innovation sources and government support programs. On the other hand, various innovation sources and government support systems utilized by corporations have positively influenced technological innovation performance. As expected, among these obstacles, financial limitation had the greatest negative effect on innovation.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.151-164
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• 2021

The paper identifies the enablers (drivers) and inhibitors (barriers) influencing e-customs implementation in Vietnam (known as a developing country with a lower technological environment) along with determining the impact of e-customs on firm performance. The survey was conducted with the representatives (managers) of firms in five cities and provinces dominating Vietnam's international trade. The data was analyzed using structural equation modeling (SEM). The findings show two significant drivers (enablers) - relative advantages and national culture, while compatibility and ease of use are the barriers. Previous studies showed that cultural dimensions related to 'uncertainty acceptance' and 'individualism' encourage innovation; however, this paper demonstrates that 'uncertainty avoidance' and 'collectivism' promote e-customs deployment in Vietnam. Previously, Vietnamese culture was known for scoring high on cultural dimensions related to 'power distance' and 'short-term orientation'. However, today, as an emerging country, Vietnamese has switched to 'low distance' and 'long-term orientation', especially in terms of e-customs innovation. Additionally, the paper also emphasized that e-customs implementation had a positive influence on firm performance in Vietnam. Based on the results of the paper, policy-makers can devise essential solutions to enhance e-customs implementation as well as managers of firms can set-up strategies to adapt to the modernized environment.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.39-54
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• 2024

This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.