• Journal of Information Technology Services
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• v.17 no.2
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• pp.83-100
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• 2018

Demand for stone products used as building materials is increasing. The construction industry, the value of the stone industry is sufficient, but the domestic stone industry is very lag regarding IT utilization. However, the overseas stone industry produces high-quality products using IT. In this study, we want to offer an IT application technology priority fit for the stone industries. We identify the current status and production process of the stone industries, then set the priority of various IT, so that obtain competitiveness in the domestic stone industries, and minimize the gap between the overseas stone industries. Therefore, we used AHP method; stone industry production processes were selected as the Enterprise Operation Management, Quarrying, Manufacturing, Construction and Maintenance of first-tier. The second-tier ones are consisted of 30 factors out of IT elements. Focus group interviews were conducted to confirm the validity of each factor. As a result, most important factors of first-tier was selected as the order of Manufacturing, Quarrying, Enterprise Operation Management, and Construction & Maintenance. The top 5 of 30 factors in the second-tier were selected Smart Sensor, Mobile Device, Robot of manufacturing, GIS of quarrying, and SCM of enterprise operation management. And the factor that relatively less important was GPS of construction and maintenance. If properly applied an IT application technology for stone industry, we expect to provide efficient production lines and increase customer satisfaction, which will ultimately expand the promotion for the industry and thus act as positive factor in promoting the stone industry.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.21 no.4
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• pp.227-235
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• 2011

The objective of this study was to analyze 157 processes of 145 industries that exceeded Korean Occupational Exposure Limits (KOEL) for carcinogen during the 11 year period from 1999 to 2009. The data included number of industry and workers exposed, type of carcinogen and their exceeded ratio, type and size of industry in each year. These data were collected by 46 regional employment & labor offices in Korea using work environment monitoring reports. The result showed that, in each year, about 10 industries exceed their carcinogen exposure limit. The most common carcinogen exceeding KOEL were found to be formaldehyde, benzene, ethylene oxide and chromium VI. The carcinogen with the highest level of over-exposure were in the order of formaldehyde, benzene, ethylene oxide and asbestos. Fabricated metal product manufacturing industry were found to be most vulnerable against carcinogen with 11.1% of them exceeding carcinogen KOEL followed by electronic components manufacturing industry (8.3%), chemical products manufacturing industry (6.3%), and electrical equipments manufacturing industry (4.9%). The industry employing less than 50 workers had the highest percentage of exceeding carcinogen KOEL with 52.8%. The result also showed that strengthening KOEL for benzene and asbestos helped reduce the level of carcinogen over-exposure. Based on these results, strengthening the KOEL or new regulation turned out to help reduce the carcinogen over-exposure level. Benzene, ethylene oxide and chromium VI were the most frequently over-exposed carcinogen with the highest level. Therefore, these chemicals need to be regulated with a highest priority to improve the workplace environment. The results also show that the small-sized industries employing less than 50 workers was the most vulnerable against carcinogen exposures. Therefore, more government support are needed for these small-sized industries to help them to improve their workplace environment.

• Journal of Technology Innovation
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• v.15 no.1
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• pp.203-233
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• 2007

This study investigates how characteristics in the value-chain industrial cluster affect the R&D investment and the output of firms in each industries. For this, we try to extract the inter-industrial networking structure from the input-output table in which 17 manufacturing sectors are included. In particular, we will give shape to the "unit structure" which shows the intermediary flows of goods and services between industries in order to get an unit of final demand in a certain industry. Using this "unit structure", we can try the inter-industrial networking analysis and get some indices of centrality and centralization related to the characteristics of each industries in the value-chain industrial cluster. The results show that the centrality in the value-chain industrial cluster does not have any consequence for the R&D investment and the output in each industries. However, there is a correlation between the centralization in the value-chain industrial cluster and the R&D investment and the output of firms in each industries. These results may be very suggestive in bringing up a new frame of industrial cluster policy in a macro level.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.545-571
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• 2016

The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.

• Journal of Korea Trade
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• v.25 no.3
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• pp.48-64
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• 2021

Purpose - This study examined the effect of tariff cuts on productivity in Korea's manufacturing industries and the effect of initial productivity level before tariff cuts on productivity improvement after tariff cuts. We also attempted to identify whether import-driven or export-driven factors are more important for productivity improvement, especially in low productivity industries. Design/methodology - Since tariff reduction is a policy decision that can affect cross-industry, its impact is spread across all industries beyond the scope of a single firm through the input and output network of industry structure. Accordingly, we proposed a new method to measure the change in productivity to reflect the impact of tariff cuts across industries. Through an Armington CGE analysis, changes in endogenous variables can be directly measured after the exogenous shock of tariff reduction, and the amount of movements in productivity triggered by tariff cuts can also be calculated. We can thus assess the effectiveness of exogenous policy, such as tariff cuts, through the difference between the benchmark and counterfactual values of endogenous variables. Findings - This study confirmed that tariff reduction positively affected productivity improvement in Korea's manufacturing industries. It also confirmed that productivity gains occur in Korea's leading export industries. Finally, greater productivity gains were recorded in the group with additional high-export-share or high-import-share conditions for low productivity industries. These results are, in a limited sense, consistent with the existing studies that emphasize the importance of exports and imports on productivity improvement, especially for low productivity industries. Originality/value - The results of our experiments are different from those of non-CGE studies, which measure the industry-level change in productivity with dummy coefficients, in terms of directly calculating the amount of change in productivity. In addition, we propose that the Armington CGE model is more appropriate than the Melitz CGE model to directly measure the productivity after tariff cuts. This is because the Melitz CGE model assumes the given specific productivity density, which does not change after an overall drop of tariffs. To the best of our knowledge, this approach to directly calculating productivity by reflecting the impact of tariff reduction across industries through CGE analysis, is unprecedented in this literature.

• 한국벤처창업학회:학술대회논문집
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• 2006.04a
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• pp.139-166
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• 2006

This paper explored strategic types of Korean SMEs in manufacturing industries and investigated key differences among strategic types by analysing firm size, product market, technological capabilities and performances. According to previous studies, this papers categorized SMEs into four strategic types-technological innovative SMEs, multi-product SMEs, capital-intensive SMEs, and OEM-based SMEs types. Based on the empirical survey from 1,077 Korea SMEs in diverse industries, there are significant differences among strategic types on the key characteristics including product market, resource capability and performance. Finally this paper suggested implications for the studies on SMEs and managerial and policy directions to support SMEs.

• IE interfaces
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• v.21 no.3
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• pp.312-321
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• 2008

The productivity increase by technological advance is the biggest driving force of economic growth. In this paper, we investigate the inputs and outputs of the manufacturing and service industries in Korea. We also estimate the total and partial factor productivities of both industries using the Solow model and the Kendrick model. Finally, we analyze the contribution of each input factor to industrial growth.

• The Journal of Information Systems
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• v.16 no.2
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• pp.93-122
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• 2007

RFID has fundamental influences on today's business management. This research seeks to formulate the opportunities and challenges, the strengths and weaknesses and the perceived benefits of RFID implementation in three industries: manufacturing, medical-service, and distribution. Ten companies of successful RFID deployment in Korea are presented. Field interview and panel discussion were used to explore the research purpose. The core challenges include RFID readability issues, lack of best practices, increasing prime cost, visible ROI, implementation cost, and employee's resistance. The strengths include IT infrastructure, system integration competency, RFID business model creation ability, executive's support. There is little weakness in Korea companies, there are many perceived benefits in three industries. The most distinctive finding is that the visible ROI was found out in the manufacturing industry, not in the distribution industry. The opportunities and challenges, the strengths and weaknesses and the perceived benefits are some different in three industries, which provide valuable guidance for Korean companies in seeking the RFID opportunities. This case study represents a pioneer research of RFID adoption in Korea.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

• Journal of Welding and Joining
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• v.28 no.5
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• pp.64-68
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• 2010

The purpose of this study is to develop the control technology of global distortion in the deck of superstructures during manufacturing processes. The behavior of global distortion in the deck was evaluated by FEA and verified through comparing with the measured results by 3D measuring instrument. It was seen from the results that the principal factor inducing the global distortion is to be the bending moment associated with the longitudinal shrinkage force and transverse shrinkage caused by welding of stiffeners and flame heating to correct the excessive local out-of-plane distortion. Based on the results, the amount of reverse distortion in the thin deck plate was determined to control the global distortion in the deck plate. The proposed distortion control technology was verified by applying it to the actual structure.