• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.31-50
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• 2023

In the midst of dynamic industrial changes, companies need data analysis considering the effects of integration of various technologies in order to establish innovative R & D strategies. However, the existing technology forecasting model evaluates individual technologies without considering relationship among them. To improve this problem, this study suggests a new methodology reflecting the integration of technologies. In the study, a technology forecasting indicator was developed using the technology integration index based on social network analysis. In order to verify the validity of the proposed methodology, 'drone task performance technology' based on patent data was applied to the research model. This study aimed to establish a theoretical basis to design a research model that reflects the degree of integration of technologies when conducting technology forecasting research. In addition, this study is meaningful in that it quantitatively verified the proposed methodology using actual patent data.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.38-47
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• 2023

Three dimensional (3D) packaging is a next-generation packaging technology that vertically stacks chips such as memory devices. The necessity of 3D packaging is driven by the increasing demand for smaller, high-performance electronic devices (HPC, AI, HBM). Also, it facilitates innovative applications across another fields. With growing demand for high-performance devices, companies of semiconductor fields are trying advanced packaging techniques, including 2.5D and 3D packaging, MR-MUF, and hybrid bonding. These techniques are essential for achieving higher chip integration, but challenges in mass production and fine-pitch bump connectivity persist. Advanced bonding technologies are important for advancing the semiconductor industry. In this review, it was described 3D packaging technologies for chip integration including mass reflow, thermal compression bonding, laser assisted bonding, hybrid bonding.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.1
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• pp.13-27
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• 2016

Companies strive to have the ability to flexibly respond to environmental changes in modern society with its rapidly changing business environment. That is, companies try to achieve the corporate performance by using a variety of strategies since companies that don't go along with changes in industry are likely to fall behind. Also, the corporate performance is a key element in national competitiveness, and government is willing to support companies to maximize their performance in various ways. This study examines whether there is a difference between corporate strategies and government policies according to the retention and the type of certification of innovation. The company's strategy configuration effort is largely divided into exploration and exploitation of external knowledge, while the government's policy is divided into direct support, indirect support, and financial support. The corporate performance is analyzed using technological performance; innovative perspective and the sales; and the actual corporate performance as proxy variables. As a result, the variable affecting the performance differs according to the retention of certification of innovation. The variable affecting the corporate performance differs according to the type of certification of innovation as well. Therefore, it was found that companies can achieve the corporate performance by considering the situation at hand and the differentiated action strategies depending on the type of certification of innovation.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.259-272
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• 2020

In fostering dynamic, innovative SMEs, hidden champion companies can be an appropriate model for SMEs to learn the success factors. On the other hand, the need for intellectual property management is becoming important as the value of a company is changing from a financial asset to an intellectual property. Therefore, in this study, the patent portfolio analysis of the hidden champion companies mentioned in Herman Simmon's book "Hidden Champion" was performed. As a result of the analysis, it was confirmed that patents are not possessed or patent activities are actively carried out and a differentiated intellectual property management strategy is implemented to improve patent quality depending on the characteristics of the technology possessed. The results of these studies can be used as basic data to prepare an intellectual property management strategy for companies that want to create opportunities to acquire monopoly rights and reduce patent maintenance and management costs. In addition, in this study, the patent IPC analysis verified that Herman Simmon's claim that "Hidden champions have the ability to focus on core competencies and focus on one technology" is valid.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.1-13
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• 2022

Although the number of venture start-ups has increased significantly, it is difficult to judge the success or failure based on short-term performance alone. The survival of a company cannot be guaranteed if it does not show sustainable growth prospects. As a growth factor for venture companies, the level of technology commercialization capability and competitive strategies are considered important. Recently, the emergence of innovative business models is creating new opportunities and driving the growth of numerous venture start-ups. This study tried to investigate the mediating effect of business model innovation in the relationship between technology commercialization capability, competitive strategy and the growth prospects of venture companies. For this, empirical analysis was conducted using the original data of the Research on the Precision Status of Venture Firms 2021. As a result, production, manufacturing, marketing capability, cost leadership and product differentiation had a positive(+) effect on growth prospects. The mediating effect of business model innovation between all factors except for manufacturing capacity and growth prospects was verified. This study expanded the scope of research by shedding new light on the factors influencing the long-term growth prospects of venture companies and revealing business model innovation as a new mediating variable. In future research, it is necessary to develop an objective measurement tool and to identify differences according to industrial characteristics.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.187-198
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• 2012

Consumer innovativeness is a force that leads to innovative behavior of consumer and it is crucial for companies to understand the innovativeness in association with the new innovative product adoption. The purpose of this paper is to examines the influence of Consumer's inherent innovativeness, product involvement, and product expertise on consumers's vicarious and adoptive innovativeness. For this purpose, the model has been set and examined the influence of consumer innovativeness, product involvement and product expertise on vicarious and adoptive innovativeness. The results revealed that 1) consumer innovativeness would not influence vicarious and adoptive innovativeness, 2) vicarious innovativeness had affect on adoptive innovativeness 3) product involvement had a affect on both vicarious and adoptive innovativeness 4) product expertise had a affect on vicarious innovativeness and yet had no affect on adoptive innovativeness.

• Health Policy and Management
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• v.23 no.1
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• pp.66-77
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• 2013

The purpose of this empirical study is to investigate the factors of self-leadership depending on individual characteristics, job characteristics, and qualities of leader-member exchange. Additionally, this study aims to discover the effect of self-leadership's outcome factors on organizational citizenship behavior and innovative activities. In order to verify research model and hypothesis, questionnaires were collected from department members working at general hospitals, hospitals, and clinics in metropolitan area of Seoul, which were 85 departments and 344 respondents. Collected data were analyzed with SPSS ver. 19.0 and Amos ver. 18.0 statistical package using Structural Equation Model. The results of the analysis showed that both individual characteristics and job characteristics have significant positive effect on self-leadership. Also, self-leadership had significant positive relationship on innovative action and organizational citizenship behavior. The implications of this study are as follow. First, this study empirically explained how self-leadership is applied in healthcare organizations. Second, it verified the relationship between causal factors and outcome factors of self-leadership. Also, prior researches of self-leadership have been conducted on business companies, but this study explored self-leadership at healthcare organizations, which increased external validity. Nowadays, many people are interested in the effect of leadership in order to overcome issues coming from enlarged organizations and to improve performance. Self-leadership will contribute to maximizing voluntary efforts of human resources and performance in a rapidly changing healthcare industry.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.351-358
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• 2010

This study is to examine the effect of types of mentoring among security agents on career development and career satisfaction. Private guards engaging in 5 different security companies in Seoul 2010" were set as a collected group and using judgment sampling method, 227 of them were finally analyzed. Cronbach's $\alpha$ value was .606, implying that reliability of questionnaire was high. The conclusion drawn from this study is as follows: First, types of mentoing among private guards effect their career development. In other words, when facilitated mentoring is encouraged, it leads to innovative self-development, professional development, and information competitiveness; when informal mentoring is encouraged, it causes information competitiveness to be improved. Second, mentoring types have an effect on career satisfaction: Facilitated mentoring enables to increase career satisfaction. Third, security agents' career development affects their career satisfaction. That is, innovative development and professional development result in increase of career satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.95-110
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• 2015

Most innovation related theories including entrepreneurship theory regard the CEO's innovative competencies as the starting point of innovation. The study was investigated the relationship between CEO's innovation DNA and Innovation and the effects of environmental fit in their relation. For the empirical test, the sample was collected from 110 manufacturing companies in Daegu and Gyeongbook region. The results as follows: First, Innovation DNA has generally significant positive effect on innovation. The effect of discovery DNA is stronger than operating DNA to the product innovation, but the operating DNA stronger than the discovery DNA to the process innovation. The fit between CEO's innovative DNA and exogenous environmental turbulence make a strength innovation. The supplementary fit between discovery DNA and technology turbulence and complementary fit between discovery DNA and market turbulence reinforce product innovation. Process innovation were strengthen by the complementary fit between operating DNA and market turbulence.