Objective: The aim of this study is to investigate the characteristics of industrial accidents in shipbuilding industry. Background: As the accident frequency in shipbuilding industry is higher than those of other industries, it is important to grasp the accident characteristics of shipbuilding industry to reduce the accidents. Method: This paper aggregated some important accident report of the shipbuilding industry including industrial accident analysis of Korean government and drew some important accident characteristics of shipbuilding industry. Results: Accidents in Shipbuilding industry was reviewed in respect of accidents rate, accidents distribution by age, accidents by employed period, accidents severity, accidents type, accidents type by process, accidents caused by object, and hazards in process. Conclusion: Accident related indexes in shipbuilding were much higher than those of whole industry. Application: These results can be used to provide base information for more effective accident preventions in shipbuilding industry.
The purpose of this study was to identify perception level of QR and the usage level of QR technologes and to examine the relationships between the firm characteristics and the usage level of QR technologes and QR adoption in domestic fashon industry. Using the usage levels of QR technologes and QR adoption as the dependent variables, the selected firm characteristics, as independent variables, were firm size, perception level of QR benefits, and product characteristics. The findings from the empirical analysis of this study can be summarized as follows : Firm size and perception level of QR benefits were significantly associated with the usage level of QR technologies and adoption. Product characteristics were partly associated with QR adoption. The four elements were partly associated with QR adoption. Most of the QR adopters were using the QR technologies, and will tend to have four elements. From the results of this study, the researcher expects the information from this study to contributes to the body of knowlege about the identification, adoption and utilization of component technologies for QR management systems and draws several counterproposal as follows : The advancement of domestic fashion industry is possible through the systematic adoption of QR by the collaboration of the government & the industry. Most nonadopter had financial problems as a constraint to QR adoption. Financial supports are needed from trade associations and government. The fashion industry may promote the type of smart QR. The type of smart QR means usage level of QR technologies which reflect the firm characteristics and the actual industry state in domestic fashion industry. The fashion industry may establish information technology network (i. e., EDI, POS, EOS) between relative industry such as fiber, apparel manufacturers, retailers. The related industry should make a partnership.
Korean Journal of Construction Engineering and Management
/
v.7
no.4
s.32
/
pp.177-183
/
2006
Risk-based estimation has been successfully introduced into the construction industry. By incorporating historical data associated with probability analysis, risk-based estimate is an effective decision support aid in considering whether to launch a particular project. The industry challenges, however, especially related with management issues, such as labor shortage, wage growth, and supply chain complexity, have often resulted in poor cost performance. The insufficient assessing the project characteristics (i.e., resource availability, project complexity, and project delivery method) can be the main reasons in the poor cost performance. Because the accuracy level of cost performance prediction can be enhanced by extensive evaluation of the subject project characteristics, a new approach for predicting cost performance in an earlier stage of a project can improve the Industry substantiality, in other words, value maximization. The purpose of this paper is to develop a new methodology in developing a risk-based estimate tool by incorporating extensive project characteristics. To do this, an extensive industry survey was conducted from both private and public sectors in building industry in Korea. In addition, significant project characteristics were identified in terms of cost performance indicator. Although the data collection is limited to Korean industry the suggested approach provides the industry with a straightforward methodology in risk management. As many researchers maintained that front-end planning efforts are crucial in achieving the successful outcome in building projects, the new method for risk-based estimation can Improve the cost performance as well as enhance the fulfillment in terms of business sustainability.
This paper compares the differences in management performance in the logistics market and analyzes the differences in business characteristics depending on the industry types. In addition, the effects of industry types and business characteristics on management performance are examined. The analysis method used is ANOVA and K-means clustering. The implication of the study are as follows. First, in the logistics market in Japan, there was a difference in management performance among the types of industry. The warehousing service type had the highest profitability and stability among all the industry types. Second, differences in business characteristics by industry types were tested. It was found that offshore cargo transportation type was more capital intensive than the other types. In addition, warehousing service type had higher business leadership and credit transaction than others. Third, industry types and clusters based on business characteristics had a significant impact on management performance through interaction effects. For the profitability variables in detail, other clusters had a significant effect between transportation types(onshore and offshore cargo) and warehousing service type. On the other hand, in stability variables, one cluster was effective in all types, which is a characteristic that lowers both capital intensity and business leadership.
Purpose - This study aims to advance our knowledge about factors influencing technical startup performance through analysing technical startup process empirically. This study was conducted to focus on industry structure(industry growth rate, competitive intensity, and enter barriers), technology characteristics(technical excellence and wide range of technical application), and the performance in the technology-based start-ups. Specifically, analyzing moderating effect of technology-marketing strategy, this studied how moderating variables affect technical startup performance under industry structure. Research design, data, and methodology - The subject of this study was technology-based start-ups company that received technology transfer from public organization. The development of the paper model is based on the literature of the preceding research analysis in technology commercialization, performance of technology-based start-ups, and marketing strategy. This study has a construct that was defined in the previous studies, such that technology marketing strategy was defined into the two ways of being broad or narrow in strategic application. From November 3. 2015 to December 22, 220 questionnaires were distributed with targeting to start-up companies in technology-based. 188 responses were collected for empirical analysis except the missing and wrong value responses. This data were used for structural equation modeling and regression analysis. Results - The results of this study are as follows. First, as industry structure variables influencing on performance(technical, financial) of technology-based start-ups, industry growth rate, competitive intensity and enter barriers of variables were verified; high growth rate has more positive effect on performance than low growth rate, competitive low intensity has more positive effect on performance than competitive high intensity, low enter barriers have more positive effect on performance than high enter barriers. Second, as technology characteristics variables influences on the performance(technical, financial) of technology-based start-ups, technical excellence and wide range of technical application of variables were verified ; technical high-excellence has more positive effect on performance than technology low-excellence, wide range of technical application has more positive effect on performance than narrow range of technical application. We also find that technology marketing strategy(broad/narrow) in moderating factors on performance (technical, financial) is as follows. Analyzing the moderating effect depending on technology marketing strategy(broad/narrow), application of technology, and the types of technology strategy(broad/narrow) were revealed that broad marketing strategy had a more significant effect on performance of technology-based start-ups. With AMOS, the relevancy of the study model revealed higher for broad technology-marketing strategy than narrow technology marketing strategy, and the explanatory power revealed to be 6.4% higher in broad marketing strategy than narrow marketing strategy. Conclusions - This study confirmed that industry structure and technology characteristics are important factors influencing the performance of technology-based start-ups. Technology-marketing strategy affects the performance of technology-based start-ups between industry structure and technology characteristics. According to additional analysis, moderating variables and technology-marketing strategy are important factors influencing the performance of technology-based start-ups under industry structure and technology characteristics. Broad type of technology-marketing strategy has more attractive industry structure and excellent technology characteristics than narrow types of technology-marketing.
DB Integration website(tentatively named Food Processing Aptitude Information Center, FPAIC) has been designed through a "high-value products development project(2013)". Basically, the project aims to secure connections between food raw materials and processing industry, a variety of information sources, and users's convenience. It also aims to build the industry-university-based mutual growth in the food industry through sharing of processing suitability and material research on food raw materials. FPAIC consists of raw material story, information of sample characteristics, food processing study, preceding research data, food industry trends, and understanding of food processing. The major database of research on Food Processing is provided on information of sample characteristics, and food processing study. Currently the web site has 36 raw material stories, 380 information on sample characteristics and food processing studies, 1,600 preceding research data about 31 food raw materials. The web site also provides information on 70 useful web sites, as well as 77 food industry trends, 27 basic information about food processing.
This paper analyzes the factors affecting the relationship characteristics of firms and public research institutes, in-addition to analyzing the effect of relationship characteristics with the industry-public research institute cooperation. We selected factors influencing relationship characteristics of firms and public research institutes based on the study of existing industry-university-institute cooperation. These factors include the willingness of the industry-public research institute cooperation, firm's R&D capabilities, and the firm's perceived public research institutes competence. The relationship between these factors, their relationship characteristics, and the performance of the industry-public research institute cooperation was studied using six hypotheses. In order to test this research model, we conducted a survey on industry-public research institute cooperation firms and received responses from 116 companies. Partial Least Square-Multi Group Analysis (PLS-MGA) was used to test the research model. The results of the empirical analysis show the following results. First, the willingness of the industry-public research institute cooperation, firm's R&D capabilities and firm's perceived public research institutes competence have a positive impact on the relationship characteristics of firms and public research institutes. Second, the relationship characteristics of firms and public research institutes have a positive impact on firm performance in the industry-public research institute cooperation. Third, firm's R&D capabilities and firm's perceived public research institutes competence directly affect firm performance in the industry-public research institute cooperation. These results provide policy and practical implications for enhancing firm performance of the industry-public research institute cooperation.
Proceedings of the Korea Technology Innovation Society Conference
/
2001.05a
/
pp.411-430
/
2001
This Paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. It is conjectured that these characteristics are derived from the fact that the numerical controller is the result of IT based technological convergence in controlling machining process. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology Policy.
Proceedings of the Technology Innovation Conference
/
2000.06a
/
pp.47-64
/
2000
This paper analyses characteristics of the numerical controller industry in market formation and the Flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation betweenusers and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cardle market to them which produce inferior quality and lower price than importer products. The credibility of the permance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, Which have been conventional industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology policy.
Purpose: The purpose of this research is to develop defense quality evaluation model in order to improve the problem of private sector quality evaluation model and propose the total integrated defense quality management model which enables to evaluate not only large defense industry, but also small-medium industry. Methods: This paper consider the characteristics on ISO 9001 Quality Management System, single PPM, PASS and defense quality and develop defense quality maturity model and index which enables to measure the current quality management level and characteristics and to evaluate operational characteristics in each maturity level for domestic defense industry. Results: From 176 DQMS certified defense industry, the defense quality maturity level is 68,2, C grade. The large defense industry shows, 80.9, A grade; medium industry 69.7, C grade; small-medium industry shows 54.1, D grade. Through the classified types of industries, the current level of quality management of defense industries was diagnosed and the areas to be supplemented for the total quality management were identified. Conclusion: Developed DQMI can be used as the basic information for spreading quality management activities in the defense industry by diagnosing the overall quality management of existing defense industries and quantifying the ambiguity of non-metric measurements and measurement standard that were presented as the threshold of the defense quality management system certification process.
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