• Journal of Information Technology Services
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• v.9 no.1
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• pp.57-71
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• 2010

The purpose of this study is to verify the competence level of IT service companies in Korea from the view point of capability of creating customers value and outcome as an independent companies which have been growing in the captive customers(market) circumstance by performance data analysis and IT specialists survey. This study presents a growth model which emphasis on the importance of the correlation between IT service companies and captive customers. It proves that the captive customers have been being the growth power and motive of the IT service company, because IT service companies have been cumulating the competence for IT service through the service for the customers, and with this competence, IT service companies have been expanding its service out to non-captive market(customers) and got good outcomes as an independent companies. And this study proves that the captive customers who served by the IT service companies which have a higher level of service capabilities have better business outcome. IT service companies contribute to improve the IT level of the captive customers and to make the customers to increase sales by conducting IT projects.

• Journal of environmental and Sanitary engineering
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• v.11 no.3
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• pp.53-61
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• 1996

The subject of this study was to analyse overviews of companies which exceed TLV by industry, hazardous factors, and to estimate the numbers of companies measured in 1993 and the implementation rate of working environment measurement by the act of industrial safety and health The result of this study was as follow. 1. The number of cases which exceed TLV was 5,937 companies. In distribution of excess companies by the scale of workers, small scale cases under the 49 workers were 3,150 companies(53.0%) of total cases, medium scale cases between 50 - 299 workers were 2,248 companies(37.9%), and large scale cases over 300 workers were 539 companies(9.1%). By the industry of excess companies, it was marked high rate in manufacture of fabricared metal products(except machinary and equipment), manufacture of textiles of each 1,048 companies(17.7%), and 1,018 companies(17.1%). By the area of excess companies, it was shown high rate in Kyeongki area marked 1,679 companies(28.3%) and Daegu-Kyeongbuk area were marked 1,417 companies (23.9%). By the hazardous factors of excess companies, noise was recorded high rate in 5,160 companies (86.9%), dust was shown in 1,245 companies(21.0%), organic solvent was marked 130 companies(7.9%). The number of excess factors by the company was 1.2. In this result, the more it was bigger scale companies, the more excess factors were much more and the more it was recorded higher rate in noise organic solvent heavy metals, etc. 2. The measured cases in institutes during 1994 were 1,596 companies, and excess cases were 157 companies(9.8%) among them. By the scale of workers, small scale cases under the 49 workers were 190 companies (17.9%) among 1,064 companies, cases of medium scale cases between 50-299 workers were 127 companies (27.9%) among 463 companies, and large scale cases over 300 workers were 31 companies(44.9%) among 69 companies. In this result industry of the highest rate shown was manufacture of basic metals in 20 companies exceeded among 53 companies (37.7%), and was manufacture of pulp, paper production in 14 companies exceeded among 40 companies(35.0%), and the excess rate were high in bigger scale. 3. Companies estimated by the data of excess cases and excess rate in 1993 were 30,474 implementation rate estimated for measurement of working environment was 34.3% of companies in korean industry. In this result, it was comparatively shown of measurement rate for the working environment in manufacture of pulp, paper product, manufacture of machinary and equipment n.e.c., and of high measurement rate and excess rate in manufacture of electrial machinary and apparatus, and manufacture of basic metals.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.195-205
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• 2013

Global media companies like Sony, Fox, Vivendi, and Disney expand their activities aggressively to foreign markets. This paper seeks to find out their precise strategies to succeed in the global market. Our study focus on two companies Fox and Sony who manage successively in Korean market. Particularly, these two media companies launched in Korean market several channels, joint venture companies with Korean partners and have expanded.Korean channel in East asian countries.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.36-42
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• 2021

This study aims to examine whether there are some differences in the cost stickiness of R&D expenses of IT companies before and after the COVID-19 crisis. Before COVID-19, IT companies did not reduce R&D expenses even if sales decreased, resulting in cost stickiness. As a result, it appears that during the COVID-19, IT companies adjust R&D expenses in proportion to changes in sales. This is interpreted as a reduction in R&D investment, which takes a long time to create results, in case of a decrease in sales due to uncertainty in future management performance due to the COVID-19 pandemic. In other words, during the COVID-19 risk period, IT companies, like other companies, reduced R&D expenses as sales decreased, resulting in reduced cost stickiness. This study differs from existing literature in that it examines the impact of the COVID-19 pandemic on the R&D expenditure behavior of companies in the IT industry.

• Journal of the Korean Geographical Society
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• v.40 no.5 s.110
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• pp.533-552
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• 2005

Human capital and higher education have been increasingly emphasized with the rise of a knowledge-based economy. Cities are recognized as places to attract human capital and spur economic development. Educated workforce supply is one of the critical parts to sustain IT industries, which have been leading recent economic development. This paper examines factors affecting geographies of educated workforce supply from colleges and universities to companies in U.S. metropolitan areas through questionnaire survey and interviews with IT companies and IT-related programs at colleges and universities. The results show that: (1) physical proximity between IT companies and colleges/universities enhances the degree of educated workforce supply from colleges/universities to IT companies; (2) IT companies which seek more specialized and rarer expertise recruit the workforce from colleges or universities over longer distance; (3) colleges and universities which offer a higher degree have geographically more extensive supply of educated workforce to IT companies than those which offer a lower degree; and (4) large IT companies have more geographically extensive supply of educated workforce to colleges/universities than small IT companies.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.103-116
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• 2008

Efficiency and objectiveness are the most critical issues in the evaluation of software projects. It is beneficial not only to software companies participated in bids, but to administrators of projects. This study attempts to find an improvement in the evaluation process by connecting the historical data of bidding companies in the software company report system with the governmental procurement system. The proposed means will eliminate unnecessary and repetitive submission step of bidding companies and provide the administrator with objective evaluation process. Also, this paper proposes an automated process for quantifying the business experience of bidding companies.

• 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.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.305-312
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• 2013

This research suggests the security countermeasures for solving technology outflow of small-medium companies in New IT Environment through level comparison of security cognition and security management between small-medium companies and major big companies. According to analysis results, it is poor for small-medium companies' level of security cognition and security management compared with major big companies. Small-medium companies need to manage technology outflow to major big companies' level in New IT Environment. Small-medium companies has started to build New IT Environment recently and it must build the appropriate security system for small-medium companies at the same time. Small-medium company has more problem with budget and proffessionals to maintain the security of technology outflow. Therefore government has to support systematic management for the security of technology outflow to Small-medium companies

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.247-254
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• 2010

In this paper, I propose the modular support of IT small companies that assigns specialist on each module and create the module corresponding to R&D processes to small companies in order to support technical difficulties arising in a R&D process of IT small companies. The number of applied target companies is 149 IT small companies and altogether 45 specialist who had supported 10 modules. As a result of observing for two years, I identified that the system helps the technical difficulties.

• The Research Journal of the Costume Culture
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• v.25 no.3
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• pp.359-374
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• 2017

The objective of this study was to compare business management indicators among textiles and fashion companies. Business management indicators of 356 textiles and fashion companies for the year 2015 were analyzed, using income statements showing their management results. The results were as follows. First, there were statistically significant differences between the operating income ratios of textiles and fashion companies for the term, but there were none when it came to net income ratio. Second, the differences between cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios among textiles and fashion companies were all statistically significant. The cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios were higher for fiber and thread companies, fabric companies, and dyeing and finishing companies than for clothing and fashion accessories companies. Third, there were statistically significant differences between the ratio of salaries and the ratio of advertising expenses among textiles and fashion companies. The salaries ratios and advertising expenses ratios for clothing companies were higher than those of fiber and yarn companies, fabric companies, and dyeing and finishing companies. This study is meaningful as it has identified the business characteristics of textiles and fashion companies using the management indicators of those companies, which have not been sufficiently explored by previous studies. It has also helped to improve understanding of the industrial structure of the upstream and midstream sectors of the textiles and fashion industries.