• Journal of the Korean Academic Society of Industrial Cluster
• /
• v.2 no.1
• /
• pp.28-43
• /
• 2008

This paper searches for a potential path of Korean clusters to be competitive global innovation clusters (CGICs) and provides appropriate policy interventions to promote the cluster formation process in Korea. It argues that clusters which have their distinctive competitiveness are created as the cluster members are collectively responding to the switching forces in a rapidly changing capitalist economy. The Korean economy has acquired various assets through the rapid economic progress and these can be efficiently utilized for the creation of globally leading clusters in Korea. The process is not just copying the one and only Silicon Valley model but to create the distinguished Korean model of locally embedded innovation. That requires a recreation process of innovation clusters in Korea.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.4
• /
• pp.149-161
• /
• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.1
• /
• pp.79-86
• /
• 2020

The effects of R&D investment on innovation such as patents and intangible assets, and the effect on the corporate performance such as revenue and profit growth, were analyzed using path analysis. In particular, this study compared and analyzed the performances of non-cooperative R&D and cooperative R&D. The results of this study are summarized as follows. First, R&D investment has a significant impact on innovation performance. This supports the existing research results. Second, patents have a significant impact on intangible asset growth. Third, in the case of corporate groups carrying out cooperative R&D, intangible asset growth forms a significant causal relationship with revenue growth. Fourth, in case of cooperative R&D, intangible asset growth has a significant mediating effect between patent and revenue growth. Like the existing research, the results of this research support the innovation performance of R&D investment. It also supports the existing argument that the results of cooperative R&D are more favorable to increase corporate value. However, unlike the existing research, we found a path leading to increased revenue through patents and intangible assets, and confirmed that such a path is likely to be achieved through cooperative R & D rather than internal R&D.

• Journal of the Korea Safety Management & Science
• /
• v.11 no.1
• /
• pp.115-120
• /
• 2009

Single PPM Quality Innovation Movement is originally developed quality program in Korea for supplier's quality level-up since 1995. The quality target is below the 10ppm(parts per million) in outgoing quality and delivered goods plus field claim. This Single PPM Quality Innovation Movement program was conducted to realize the anticipated results not only due to management result level's increasing, but also the company's confidence and competitiveness. This study attempted to find the mutual influences on the participation of the constituent members, satisfaction of the constituent members and results of the management from Single PPM Quality Innovation Movement. The reliance analysis for the measurement material on the questionnaire was verified by Cronbach's alpha coefficient. Participation of the constituent members, satisfaction of the constituent member and result of the management, the influences upon Single PPM improvement degree level were verified through the structural analysis by using SPSS statistic package. The influence evaluation among the groups was evaluated by the structure equation.

• Journal of the Korea Management Engineers Society
• /
• v.23 no.4
• /
• pp.143-158
• /
• 2018

It is also difficult for SMEs to pursue their own innovation activities due to their limited resources and capabilities. There are various government support policies for small and medium enterprises to enhance the competitiveness of the nation by improving sustainability management based on productivity improvement of SMEs. The purpose of this study is to investigate the factors that are important for the external support by the government and the related organizations in the machinery industry participating in the industrial innovation movement and identify the appropriate measures within and outside the organization. The results of this study are as follows: First, the higher the innovation commitment quality of the SMEs in the machinery industry, the more positive the non - financial performance. Second, the higher the quality of support from the headquarter, which has comprehensive responsibility for external support, the more positive the non - financial performance of participating companies. Third, it was concluded that the role quality of the consultant did not significantly affect the non - financial performance of participating companies in the machinery industry. Fourth, as the financial performance of the firm is better, the financial performance is also positively improved.

• KDI Journal of Economic Policy
• /
• v.27 no.1
• /
• pp.211-238
• /
• 2005

Korea is far behind other OECD countries in economy-wise productivity: Korea's labor productivity in terms of GDP per hour worked is the lowest among OECD countries. Against the existing productivity gap, there is a worrying sign in Korea's investment trend - rapid fall in machinery and equipment investment with slow increase in R&D investment. The challenge facing Korea is how to transform her economy from catching-up model to a knowledge-based one. The paper shows that, in tandem with the structural changes that today's Korean industries are experiencing, industry's innovation system is also changing. Innovation networks are emerging as the result of economy-wise restructuring since the financial crisis of 1997 and, though still not a dominant force, the newly emerging innovation networks will be the main threads of industry's innovation activities in the future. The changes in industrial innovation system would positively contribute in raising the productivity of the Korean economy. The paper contains a case study on Korea's automobile industry in order to highlight some of main characteristics of the structural changes, in addition to a chapter that gives an overview of the evolutionary paths of the Korea's industrial innovation. The paper assesses that changes can be considered as a positive sign of future growth perspective; but there are further challenges to make the Korea's industrial innovation system effective. The list of such challenges includes strengthening upstream sectors of currently leading industries, expanding the innovation base to SME and promoting technological co-operation between domestic firms and foreign firms.

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

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.5
• /
• pp.2140-2149
• /
• 2013

Managing uncertainty or discontinuity in an innovation is still a challenge to most companies. For sustainable corporate survival over the long term, one of the problems caused by discontinuous innovation is the innovator's dilemma. In specific, the dynamics between discontinuous innovation and incumbents inspires the interestof researchers and managers. This paper employs catastrophe theory as a theoretical basis to explain the driving force of new discontinuous change. In other words, we extract the control variables overcoming innovation dilemma by interpreting the dynamics of corporate strategy for discontinuous innovation from the perspective of catastrophe theory. First, we define four types of discontinuity such as technology discontinuity, product discontinuity, business discontinuity, and consumer preference discontinuity. Second, we analyze the dynamics of the competition between companies by interpreting the cases of discontinuous innovation. This analyzing process enables us to identify the control variable which can, in advance, respond to the discontinuous situation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.9
• /
• pp.427-434
• /
• 2018

As noted by Pavitt (1984) and Malerbar (2002), previous studies have focused on identifying differences in industry characteristics between the machinery industry and other manufacturing industries. This study considered quantitative and qualitative aspects of performance of product innovation in analyzing what factors determine those outcomes. In particular, this study examined stepwise selection processes embedded in innovation activities by applying a hurdle negative binomial model as well as the Heckman two-step selection model. Results show that factors affecting performance improvement and patents differ, and the threshold effect and the intensity effect of innovation were also distinguished. These results imply that the R&D capability should be enhanced and external innovation is required to be effectively embodied in the organization. Furthermore, motivating employees plays a pivotal role in this technology and skill-intensive sector.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.4
• /
• pp.56-63
• /
• 2015

Recently, companies and organizations are becoming increasingly dependent on external resources to keep their competitive advantages under the turbulence of global business environmental changes. Therefore, they focus on the paradigm 'Open Innovation (OI)' which is reported as a convincing strategy to improve competitive advantage in terms of budget and time-to-market. The management of Incheon International Airport Corporation (IIAC) also considers the introduction of Open Innovation not only to adapt the business environmental changes but also to be devoted its social role as a public corporation. In this paper, we describe how we derived the promotion tasks for the introduction of OI and prioritized the tasks, performing our research on the IIAC Open Innovation. For these purposes, this research conducted the following three steps; the first stage for the analysis of current situation on the IIAC Open Innovation, the second stage for the elicitation of promotion tasks, and the last stage for the prioritization of the promotion tasks. In the first stage, critical success factors (CSFs) for open innovation introduction were derived from different research papers and case studies. In the following stage, promotion tasks were elicited from the IIAC based on the CSFs. In the last stage, the promotion tasks were evaluated on the base of criteria by using Analytic Hierarchy Process (AHP). And then the promotion tasks were grouped by the result of the evaluation. In this case, thirteen promotion tasks were derived for open innovation, ten promotion tasks except three inevitable promotion tasks were evaluated, and then they were grouped into four categories based on the importance-possibility analysis.