• 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 the Korean Society of Costume
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• v.55 no.2 s.92
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• pp.116-128
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• 2005

The aim of this study is to understand problems with both fit and sizing system of gloves by analyzing the glove production industries with an emphasis on the sizing system, production measurement system, and general marking situation. Also, to suggest the basic raw materials for improving sizing system for gloves, actual glove control sizes were compared to the anthropometric data of the previous study Fifteen domestic production companies were participated in this study-Domestic glove production companies established their own sizing system by copying inter-national brand's glove sizing system or by their experience. The Korean Standard of gloves and the 1997 Korean Standard Anthropometrics Measurement for producing glove patterns are not considered because of its discordance with the reality of the required measurements. Domestic glove production companies used different size designation and labeling system. Size measurement unit also showed difference among the glove production companies. Some companies used 'cm', some used 'mm', some used 'inch' for the measurement unit. In general, companies produced 5 to 4 sizes in one design of glove and the production was the highest in M and L size. In 9 out of 15 companies preferred control size as hand length and hand circumference. For reference size, most of the companies preferred finger circumference, finger length, palm length, hand breadth, crotch height, and hand thickness. Actual glove sizes were compared to the anthropometric data of the previous study. The results indicated that most of the measurements of actual glove sizes were significantly larger than the anthropometric data.

• The Journal of Fisheries Business Administration
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• v.21 no.2
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• pp.55-84
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• 1990

The objective of this study is to develop an inventory model for the inventory management of a stocking point which sells processed fisheries products. The study, first of all, sets up fisheries processing companies, food companies, apparel companies, pharmaceutical companies and electronic and electrical companies as a population. Then, a comparative study is empirically applied to obtain the inventory characteristics of final products by industry through a survey of a sample selected by a random sampling procedure. The major inventory characteristics of processed fisheries products obtained from the above analysis can be summarized as follows : 1) The major demand characteristics of processed fisheries products is to have wide seasonal fluctuations because the supply of raw materials (i.e., fisheries products) heavily depends on the productive capacity of nature. 2) It has found that fisheries processing companies are the worst in inventory management among the various industries selected in the sample. However, the self-rating of inventory management system by inventory managers of companies shows that the fisheries processing companies are relatively higher than the other companies. 3) The portion of inventory holding cost out of inventory relevant cost is very high for processed fisheries products compared with final products of the other industries. 4) Processed fisheries products are distributed to final consumers through roughly two distribution echelons and take a parallel type inventory system for their distribution structure. In order to develop an inventory model which reflects the inventory characteristics of processed fisheries products mentioned in the above, an inventory model with partial backorders is developed under the situation of stochastic lead time under the consideration of the inventory characteristics of processed fisheries products and then an iterative solution method is provided for the model. Then this study analyzes sensitivity for the standard deviation of lead time in the model by numerical examples.

• Korean Journal of Community Nutrition
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• v.14 no.2
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• pp.216-228
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• 2009

The purpose of the study was to investigate the influences of contract foodservice managers' personal characteristics, foodservice characteristics and organizational characteristics on job satisfaction, including interpersonal relationships, self-actualization and promotion opportunity categories. A survey was administered to four hundred contract foodservice managers of five large companies and five small/medium companies in the Seoul and Kyungin areas. The final response rate was 66%(N=265), and the data were analyzed using SPSS Windows(ver. 12.0). The respondents were 76.1% female, average age 28.8 years, and 73.0% were regular workers. Contract foodservices have profit and loss contracts(69.1%), single menu types(59.6%) and buffet serving styles(37.7%). There are significant differences of job satisfaction by some personal characteristic variables(gender, martial status, age, education, position, work hours, period of working for the present company, and payroll per year) and foodservice characteristic variables(type of contract and charge of food costs). In three job satisfaction categories, foodservice managers reported the highest interpersonal relationship satisfaction, following self-actualization satisfaction and promotion opportunity satisfaction in both large companies and small/medium companies. However, foodservice managers of large companies tended to be more satisfied regarding their promotion opportunities than foodservice managers of small/medium companies(p<0.05). Work hours, number of meals served/day, male, workload, communication with the clients, relationship with co-workers, obvious role and autonomy were significant factors to increase the job satisfaction in contract foodservices of large companies. On the other hand, relationships with co-workers and males were significant factors to increase the job satisfaction in contract foodservices of small/medium companies. This research suggests that contract foodservice companies need to understand the characteristics of their managers, foodservices and organizations to enhance the job satisfaction of foodservice managers and to develop specified human resource management strategies that can be applied to each company scale.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.98-123
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• 2002

This study develops a Korean R&D Scoreboard which has originated from the R&D Scoreboard in United Kingdom. The Scoreboard contains details of the R&D investment, sales, growth, profits and employee numbers for Korean companies which are extracted from company annual reports and key ratios calculated, with some movements over time. Companies are classified by the Korea Standard Industrial Classification. The Scoreboard contains 190 companies which consist of 100 largest companies and 30 middle-or small-sized firms listed in Korea Stock Exchange (KSE), and 30 ventures and 30 other firms listed in KOSDAQ. The overall company R&D intensity (R&D as a percentage of sales) is 2.1% compared to the international average of 4.2%. Korea has an unusually large R&D percentage of sales in IT hardware (4.9%) and telecommunication (3.7%). R&D intensity is positively correlated with company performance measures such as profitability, sales growth, productivity and market value. For largest companies listed in KSE and ventures listed in KOSDAQ, the ratio of operating profit to sales is greater for high R&D intensity companies. Sales growth is in proportion to R&D intensity for all companies. Plots of value added per employee or sales per employee vs R&D per employee rise together for the sectors studied, especially for the chemical sectors and automobile sectors, demonstrating a correlation with productivity. The average market value of high R&D companies in the KSE has risen more than 1.6 times that of the KOSPI 200 index. Given the correlation between R&D intensity and company performance and given that R&D is a smaller percentage of surplus (profits plus R&D) than international level (both overall and in several sectors), the challenges facing Korean companies are to maintain the leading position in IT hardware and telecommunication, and to increase the intensity of R&D in many medium-intensive R&D sectors where Korea has an average intensity well below international or US levels.

• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.93-112
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• 2014

To study the business performance, this research reviewed the revenue of 2012 for shipping and logistics companies in Korea, then selected 10 shipping companies and 10 logistics companies according to annual sales amount. These 20 companies are divided into four groups considering their business structure and their financial performance are organized from 2005 to 2012. Then CCR, BCC model has been applied to static efficiency and dynamic changes in productivity for analysis. As an overall result, logistics companies are proven to be better than shipping company in efficiency, change of productivity, growth and profitability. Among the logistics companies, the performance of second party logistics companies are relatively better in those factor above than the third party logistics companies.

• Management & Information Systems Review
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• v.39 no.3
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• pp.127-140
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• 2020

This study conducted analysis of YouTube channels by domestic companies as the marketing strategies of domestic companies vary due to the rapid growth of the Internet and YouTube channels. The YouTube channel analysis analyzed the number of subscribers, plays, videos and classifications of domestic companies on YouTube channels, the top 100 domestic companies in the YouTube ranking site "Company/Official. The analysis showed that 4.53 million companies had the largest number of subscribers, Samsung mobile, 544.69 million circuit Samsung mobile, and 11,416 League of Legends-Korea channels had the largest number of videos. The most product classification showed that food/dining companies were engaged in a lot of YouTube activities. The use of YouTube, which is rapidly growing in companies through analyzing YouTube channels from the perspective of a company's new marketing strategy, is a new tool for integrated marketing communications. It is expected that the YouTube channel, which enables two-way communication of companies' marketing strategies, will be used as basic data when producing YouTube content in the future.

• Journal of the Korean Society of Costume
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• v.67 no.2
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• pp.131-146
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• 2017

The aim of this study is to investigate the operating characteristics of fashion start-up companies and the characteristics of their founders. For this purpose, this study surveyed fashion start-up companies via online survey in May 2015, and analyzed the data from one hundred companies. The results are as follows. First, for the characteristics of the founders, female founders constituted 65.0% and male founders 35.0%. At the time of establishment, founders aged 26-35 constituted 77.0%. Founders with less than five years of work experience made up about 80%. 82.1% of the founders participated in domestic and foreign exhibitions/fairs. 41.0% of the founders were awarded fashion contest and competition awards, and 33.3% of the founders were supported by rising designer support projects. Second, for the operating characteristics of the start-up companies, clothing at 78.0% was the most popular entrepreneurial item, and the majority targeted the age 20-30 group. 78.0% of the companies had less than 40 production styles per season, and all the enterprises had less than 5 employees. 59.0% of the companies had export experience. Exports to China, Hong Kong, and Japan accounted for 67.4% of all exports. Major distribution channels were mainly select shops(offline select shops 79.8%, online select shops 62.8%). The main methods of promotion were fashion media articles/interviews, product sponsorship, and SNS. The most preferred distribution channel was becoming a part of online/offline select shops(92.6%). Viral marketing(84.4%), star marketing and costume sponsorship(66.7%) were the most preferred method of promotion. The most preferred way to enter foreign markets was to participate in domestic and foreign exhibitions/fairs/trade shows. This study provides basic data necessary for future founders preparing to launch fashion start-up companies. It also aids fashion start-up companies in developing more advanced business operation strategies.

• Journal of Korea Port Economic Association
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• v.32 no.2
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• pp.91-103
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• 2016

The purpose of this study is to analyze the efficiency and productivity of domestic trucking transportation companies using DEA-CCR, BCC, and Malmquist indexes. Here, we analyze the top 14 domestic trucking transportation companies, based on cargo volume. The number of freight agents, trucks, and assets are used as input variables, and cargo volumes and sales are used as output variables. The efficiency of trucking transportation companies is examined using a DEA approach, and Malmquist indexes are applied to analyze productivity. According to the DEA results, the efficiency levels of the CCR, BCC, and scales for three companies (DMU 4, 5, and 10) are 1, indicating that these companies are operated efficiently. At the same time, the Malmquist indexes show that all companies have values smaller than 1, except for the period 2012-2013, indicating that their productivity decreased. Furthermore, the TECI indexes were all larger than 1, except for the period 2012-2013, indicating that the companies are efficient. Lastly, all TCI indexes are smaller than 1, except for the period 2012-2013, indicating regressing trends.

• Journal of Technology Innovation
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• v.29 no.2
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• pp.59-85
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• 2021

This study aims to examine whether the characteristics such as a start-up company, possessing a research organization, and benefiting from government R&D programs significantly contributed to the conversion of marginal companies to normal companies, from the viewpoint of technological innovation. The result shows supporting government R&D programs to start-up companies that have become a marginal company positively contributes to the transition to a normal company, centering on the high-tech industry. In addition, it was confirmed that the research organization of marginal companies positively contributed to the transition to a normal company. These results imply that a paradigm shift from the existing industrial policy focusing on restructuring of marginal companies to a selective support policy for marginal companies with a high possibility of transition to normal companies is strongly needed. It is also necessary to strengthen the strategic use of government R&D programs to support the transition of a marginal company to a normal company.