• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.95-108
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• 2015

In order to understand the issues related to corporate social responsibility (CSR) of small and medium enterprises (SMEs), we need to consider SMEs' unique characteristics, such as their size and business environment, which are different from large companies' ones. This paper examined the influence of consumers' expectancy disconfirmation about SMEs' CSR on their disconfirmation into four subcategories including economic, legal, ethical, and charitable responsibility. According to the study results, the economic and charitable disconfirmation factors had a significant impact on corporate image and purchase intention via the corporate image, whereas the legal and ethical disconfirmation factors had no significant impact on corporate image and purchase intention.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.235-240
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• 2018

ICT converged smart factory started from German Industry 4.0 has been the driving force for the $4^{th}$ Industrial Revolution and the center of manufacturing innovation for major industrial countries. It will be developed according to industry characteristics of each country. Korea is relatively later than other competing countries in the smart factory area. So, the government is establishing related policy and tendering all sorts of supports for smart factory mainly to the small and medium-sized enterprises to spread over the manufacturing industry. It is necessary for government to categorize among similar manufacturing industry and make them share digitalized production information mutually. It will be more effective method for securing global competitiveness than the uniform support. Also, large companies need to establish cloud based production forecasting system over similar industry and share it with other companies rather than expansion of individual smart factory. Mutual development in the manufacturing industry will be realized when the small and medium-sized enterprises and large companies take part in the cooperating ground of smart factory.

• Industrial Engineering and Management Systems
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• v.10 no.2
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• pp.109-114
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• 2011

The number of small and medium enterprises (SMEs), especially those involved with research and development (R&D) programs and employed virtual teams to create the greatest competitive advantage from limited labor are increasing. Global and localized virtual R&D teams are believed to have high potential for the growth of SMEs. Due to the fast-growing complexity of new products coupled with new emerging opportunities of virtual teams, a collaborative approach is believed to be the future trend. This research explores the effectiveness of virtuality in SMEs' virtual R&D teams. Online questionnaires were emailed to Malaysian manufacturing SMEs and 74 usable questionnaires were received, representing a 20.8 percent return rate. In order to avoid biases which may result from pre-suggested answers, a series of open-ended questions were retrieved from the experts. This study was focused on analyzing an open-ended question, whereby four main themes were extracted from the experts' recommendations regarding the effectiveness of virtual teams for the growth and performance of SMEs. The findings of this study would be useful to product design managers of SMEs in order to realize the key advantages and significance of virtual R&D teams during the new product development (NPD) process. This is turn, leads to increased effectiveness in new product development's procedure.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.101-129
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• 2013

Technological innovation is one of critical challenges for small and medium enterprises(SMEs) as well as larger firms. This study focuses on empirical test about the role of absorptive capacity on the relationship between technological collaboration and technological innovation outcomes in the context of SMEs. To achieve the purpose, we conducted hierarchical regression analysis through 266 samples from Korean manufacturing SMEs that is defined as an enterprise less than 300 employees. As a result, more diverse exploitations for types of technological collaboration have significant and positive impact on technological innovation outcomes. Additionally, the results show that absorptive capacity based on knowledge realization capability strengthens the impact on which external sources and types of technological collaboration affect technological innovation outcomes. Based on the results, we propose that SMEs require intense management efforts in establishing capability to create new knowledges, by combining existing knowledges, because excessive exploitations for external sources of technological collaboration necessarily do not help enhance technological innovation outcomes.

• Knowledge Management Research
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• v.17 no.3
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• pp.65-91
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• 2016

Although the success of industrial clusters largely depends on whether clustering firms can achieve economic performance, there has been less attention on investigating factors and conditions contributing to the performance enhancement for clustering small and medium-sized enterprises (SMEs). Along this vein, we adopt the theories of social capital and organizational learning as those success factors for clustering SMEs. This study thus aims at examining what effect social capital accrued in the relationships among actors within clusters has on firm performance of clustering SMEs and what role organizational learning plays in the linkage between social capital and firm performance. For the empirical analysis, we operationalized the variables and their measures to develop questionnaires through the theoretical reviews on literatures. As a sample of 227 clustering SMEs, our collected data was analyzed by hierarchical regression analysis. The results confirmed that a high level of social capital, represented by network, trust, and norm, has positive effect on firm performance of clustering SMEs. We also found that clustering firms presenting high organizational learning, represented by absorptive and transformative capability, achieve better performance than those placing less value on organizational learning. Furthermore the significant relationship between social capital and firm performance is mediated partially through organizational learning. These findings imply not only that the territorial agglomeration of industrial cluster does not guarantee the performance creation of clustering SMEs but that they need to develop social capital among various actors within clusters, facilitating their knowledge diffusion. In order to absorb and mobilize the shared knowledge and information into strategic resources, the firms should improve their capability associated with organizational learning. These expand our understanding on the importance of social capital and organizational learning for the performance enhancement of clustering firms. Differentiating from major studies addressing benefits and advantages of industrial cluster, this study based on the perspective of firm-internal business process contributes to the literature advancement. Strategic and policy implications of this study are discussed in detail.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.73-97
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• 2015

Various types of government R&D support are available for activating businesses by small and medium sized enterprises (SMEs). However, most existing studies on this topic are focused only on the financial aspect. Interest in non-financial R&D support from the government has recently grown due to the limited provision of government financial support. In this study, government R&D support for SMEs was categorized into financial and non-financial strategies. Performance in terms of technological innovation by type was also analyzed. Furthermore, as R&D performance could vary according to the characteristics of the firms, the study classified performance variables into technological development possibility, technology intensity and technology uniqueness. The relationship between the types of support and the characteristics of the performance was also examined. Based on the results, it was found that government R&D support positively influences the SMEs' technological performance. However, the level of financial support does not significantly influence the technological uniqueness. As such, it is expected that effects from the increase in quantity of government R&D support are limited.

• Korean Security Journal
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• no.59
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• pp.9-35
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• 2019

Until now, a lot of research on cyber security have been tried, but there have been few studies on overall relationships, including internal factors and external factors. Therefore, this study examined cyber security management considering not only internal elements of SMEs but also corporate management environment. The first qualitative analysis and the second quantitative analysis were conducted through mixed method research. Qualitative analysis was conducted through a semi-structured interview method, and three themes were found: insufficient cyber security management system, internal noncooperation for cyber security, and problems derived from decision-making system. In the quantitative analysis, multiple regression analysis was conducted on the data obtained through the questionnaire. The perception of cyber threats and internal support among independent variables positively influenced the cyber security management system or the dependent variable. Through this study, internal variables had a causal impact on the cyber security management system rather than external environment variables. This implies that the variables related to the organizational culture such as employees' perception are important. These results are expected to provide practical significance for enhancing the cyber security management system in SMEs.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.115-123
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• 2014

The first, this study analyzed empirically the effects of net profit on sales, total asset turnover and debt ratio on return on equity, the second, verified debt' s mediating effect on return on investment and return on equity and finally, tested the effect of adjusted debt ratio on return on equity in the small medium sized enterprises. Generally speaking, using debt has a positive effect on return on equity. Meanwhile, using debt accelerate return on equity through leverage effect in the quadric function curve model. Eventually, using debt has a positive and negative effects on return on equity. Accordingly, because of the debt' janus-faced reality, using debt is restricted within the level that operating cash flow(or return on asset) excess interest(or rate of interest).

• Journal of Digital Convergence
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• v.16 no.3
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• pp.101-111
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• 2018

The purpose of this study is to discover the relationship of intrapreneurship, open innovation and organizational performance. For the empirical analysis, data were collected from convenient sample of 310 employees at small and medium enterprises in Busan. All collected data were analyzed using with SPSS 21. The results of this research as followed: firstly, the relationship between the intrapreneurship and the inbound open innovation is positively related. Secondly, there was a partial positive correlation between the inbound open innovation and the organizational performance. Finally, the open innovation played as a partial mediator on the relationship between the intrapreneurship and the organizational performance. Based on these results, researcher suggest the limitations of the study and directions for future studies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12B
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• pp.815-825
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• 2007

It is necessary to establish a systematic framework where the performance of governmental funding projects can be evaluated just-in-time as well as objectively regarding IT small and medium-sized enterprises and venture business. In this study, a framework is proposed for the performance evaluation using Data Envelopment Analysis (DEA) and a case study is illustrated with an empirical dataset. Especially, in order to enhance the reliability of optimal solutions, a DEA/AR-I revised model is developed by adding Acceptance Region (AR) Type I constraints into the DEA basic model. Based on the procedure and the models, it is considered that an 'efficiency score' can be calculated as a guideline for conducting successive performance evaluation processes fast. As for major governmental funding projects with respect to 'IT SMERP 2010 Plan', performance evaluations are discussed concerning between projects as well as between corporate entities within each project.