The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry’s innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group’s performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises(SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources. However, most studies related to external R&D have focused on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry’s innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis(DEA), to assess the innovation efficiency and productivity. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. We show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group’s performance, while the external R&D group lag behind the internal R&D. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

Occupational injury rate of Korea recently slides slightly downward after stagnating around 0.7%'s for more than 10 years. To accelerate this trend, injury prevention for small enterprises is crucially important because vast majority of injuries take place in small enterprises. Considering huge number of small enterprises, we need to focus our efforts to type of riskier industries. By analysing detailed injury data, we select type of industries which need our concentrated prevention efforts. Several preventive measures are recommended, after we made literature survey of case studies for small enterprises. The result identifies riskier type of industries including transportation machinery manufacturing industry type(B), woods & veneer manufacturing industry, etc. Safety of machinery, new enterprises less than 2 years in service and new employees serving less than 6 months are in need for focused prevention efforts. To cope with these vulnerable spots, recommended preventive measures include strengthening of machinery safety standards, early assistance for safety to new enterprises, mandatory safety education before employment, etc.

Remarkably improvements have occurred recently in the maintenance management of physical assets and productive systems, so that less wastages of energy and resources occur. The technology of maintenance is about finding and applying cost-effective ways of avoiding or overcoming performance deterioration. Maintenance is thus a vital support function in business, especially as increasingly large investments are being required in physical assets. TPM(Total Productive Maintenance) focuses on optimizing planning scheduling. Availability, performance and quality rate are other factors that affect productivity. Especially there are some losses that affect the overall equipment effectiveness(OEE). These losses lead to low values of OEE, which provides an indication of how effective the production precess is. This study explores the ways in which Korean small and medium manufacturing industries can improve OEE.

Using the Malmquist productivity index, this paper compares the productivity of Korean manufacturing industries from 1999 to 2006. The malmquist productivity index has more advantages than previous methods such as solow model, endogenous growth theory. The malmquist productivity index can be decomposed productivity into two parts. The first part is an index of the technical efficiency change. This index has high value when the elements of production is used more efficiently. The second part is an index of technical change. This index has high value if the advent of new technology and process innovation occur.

  Entrepreneurship is considered as the main leadership creating enterprises and employment. However, in Korea empirical studies linking Korean entrepreneurial performances with her characteristics are rarely in existence. Current study focuses on Korean

It was investigated the current state of work-related musculoskeletal disorders (WMSDs), which is one of the major problems in occupational safety and health management. A survey was conducted for safety personnel serve in the enterprises located at two cities in Gyungbuk area, Gumi and Pohang where the major industrial complex reside. The goal of this study was to identify whether the category and scale of the enterprises affect the sort of hazard factors, occurrence rate, and countermeasures against WMSDs. The results from the survey indicated that there were significant differences in the level of recognition and counteracts for WMSDs among the enterprises subject to their categories and scales. On the basis of these results, it was considered a more efficient way of spreading proper ergonomic knowledge and skills to the industries that were coincided with the circumstances of individual enterprise.

Many researches and analyses have been focused on industrial accidents in order to predict and reduce them. As a similar endeavor, this paper is to develop an expert system for prevention of industrial accidents. Although various previous studies have been performed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. As an initial step for the purpose of this study, this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and Answer Tree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work was chosen from 10,536 data related to manufacturing industries during three years(2002~2004) in korea. The initial sample includes a range of different businesses including the construction and manufacturing industries, which are typically vulnerable to industrial accidents.

With the introduction of the Internet in the 21st century, the manufacturing-oriented industry, so called EMS(Electronic Manufacturing Service) specialized in manufacturing only, is rapidly expanding. From the beginning of the year 2000, the EMS industry in advanced countries around the world, whereas a strong Motivation System in which a manufacturing related staff plays a main role, has began providing the source of competitiveness. And this industry is regarded as a core of management linking productivity directly to management performance. Thus, all the manufacturing sectors including not only the electronic industry but also mechanical industry in the future are observed to be divided into two industries; a Maker strategy industry focused on marketing and development, and a EMS industry specialized in manufacturing. Therefore, we need to evaluate whether the industries should continue to support the Manufacturers Strategy or attempt to change into the EMS industry However, with no approved evaluation standard on hand as to an actual EMS industry, in this thesis, we develop the EM(EMS-Maker) Chart in order to analyze both the Manufacturer Strategy and the EMS industries.

This study concerns with the accident characteristics and prevention in small manufacturing industries of chemical products. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. One hundred and seven injury accidents which results in more than 4 days absence were surveyed from the manufacturing companies with under 100 employees. These data were used to investigate the accident characteristics in terms of company size, injured person's age, work experience, accident time, activity at time of accident, accident type, injury type, injured body Part, and accident agency We propose the accident prevention policy based on the accident characteristics. These results can be used to develop more effective occupational safety management policies in small manufacturing industries of chemical products.

The aim of this study is investigated greenhouse gas emissions of glass industry, and when calculates greenhouse gas emission, using formula(Tier 3) advising in IPCC(Intergovernmental Panel on Climate Change) and using self designed formula(Tier 3+) authors of this study. Studied to propose calculation formula that can compare these two calculation results and apply to domestic. Formula of Tier 3 calculated to theoretical composition of carbonate material, And Formula of Tier 3+ calculated on the basis of chemical substance formation table that get from glass manufacture company(The S company). As a result, Dolomite, Soda ash, Limestone, Industrial Barium carbonate is calculated value of Tier 3+ lower than value of Tier 3, And Industrial Potassium carbonate, Industrial Strontium carbonate was calculated value of Tier 3 lower than value of Tier 3. This study finding, formula of Tier 3+ has higher confidence than formula of Tier 3 when consider revision about purity of injection raw material. And hereafter, When calculate greenhouse gas emissions about nonmetallic mineral industry, use of Tier 3+ is considered that should be encouraged.