The virtual reality market is already creating new added value across the industry and it is expected to change the way we live and work. Currently, virtual reality marketing is actively applied to the game industry and marketing methods are diversifying. Moreover, this marketing it will be widely applied in various fields such as medical care, defense, and entertainment in the future. In this paper, we analyze the marketing strategy of virtual reality industry which is expected to grow in the future combined with existing 4P analysis and 4C analysis.

Recently, de-industrialization phenomenon has been intensified in global. It caused negative issues of manufacturing economy, so many countries are carrying out a policy to protect and promote their manufacture industry. Also in Korea, government is implementing a policy to promote their manufacture based technique and process. It was named "Ppuri industry". We studied how important Ppuri industry is in Korean manufacture economy and the relation of between the metal industry and Ppuri industry. Finally, we analyze the problem of korean promotion policy of Ppuri industry and suggest an alternative policy.

중국 경제성장에 핵심적 역할을 해왔던 광동성(廣東省) 동관시(東蒄市)는 지리적으로 근접해 있는 홍콩을 이용하여 줄곧 경제발전을 추구해 왔다. 1980 년대 초반은 홍콩으로부터 가전산업 관련 중소 다국적 기업이 동관지역에 진출하여 생산 공장을 세우고, 그 후 1990년 중반에는 대만의 PC제조업체의 진 출이 잇따르면서 현재 동관에는 정보통신산업과 PC부품 및 전자산업 중심으로 지역 산업클러스터가 발전해 왔다. 동관시 산업클러스터 사례는 개혁개방 이후 중국 제조업 산업의 발전뿐만 아니라, 글로벌 시대에 해외직접투자와 아 시아지역 후-후발산업국가에서의 지역경제의 성장 및 산업발전과정의 연구에 대한 이론적 시사점을 줄 수 있는 지역적 사례 중의 하나다. 본 연구는 광동 성 동관시 지역산업클러스터의 사례를 중심으로 이론적으로는 지역산업발전의 내생적 성장요인 분석(NMID) 혹은 글로벌 생산네트워크와의 외부적 연계성을 기초로 하는 산업의 지역적 분화(GPN)에 대한 이 두 관점을 상호 비교하 고, 글로벌 생산체계에서 공간적으로 현재 동관시 지역이 가지고 있는 산업클 러스터의 위치와 역할을 설명하였다. 또한 산업적인 측면에서 생산네트워크 접근틀과 제도적 역량이라는 이론적 관점을 활용하여 중국 동관시 지역산업과 기업들이 보유하고 있는 상대적 경쟁력을 분석하였다.

목적 : 본 연구는 산재근로자를 대상으로 작업능력강화프로그램이 자기효능감, 우울, 재활동기에 미치는 효 과와 원 직무복귀에 따른 그룹 간 차이를 알아보고자 하였다. 연구방법 : 2015년 6월부터 2016년 8월까지 경상남도 소재의 C병원에서 작업능력강화프로그램을 실시한 산재근로자 49명을 대상으로 실시하였다. 작업능력강화프로그램은 1일 1회 3시간 이상 주 5회, 총 4~8 주간 실시하였고, 프로그램 중재 전･후 자기효능감, 우울, 재활동기를 측정하였다. 산재요양기간 종료 후 2개월 뒤 추적관찰을 통해 원 직무복귀 그룹과 원 직무복귀 실패 그룹을 나누어서 두 집단 간 차이를 알아보았다. 결과 : 작업능력강화프로그램 실시 후 자기효능감, 우울, 재활동기에서 유의한 차이가 있었다(p<.05). 산재 요양기간 종결 2개월 뒤 원 직무복귀 여부에 따라 두 집단 간 차이를 확인했을 때 자기효능감의 변화량 에서 유의한 차이를 보였다(p<.05). 결론 : 본 연구는 작업능력강화프로그램이 산재근로자의 자기효능감, 우울, 재활동기 향상에 효과적임을 보 여주었고, 자기효능감이 원 직무복귀 성패에 중요한 요인임을 제안한다.

The fisheries industry has led the Korean economy, and has been achieving high-level position in the world. However, this industry meets aging, low growth and profit. In order to overcome this critical situation, it is needed to understand the overall status of industry. In industry level, most of previous researches focused on ocean industry rather than fisheries. In addition, scholars have been getting a lot of attention about fisheries cooperatives, fishing-ports, methods of fishery, and manufacturing process in fisheries sector. The aim of this research is analysis of domestic fisheries industry’s managerial performance using data envelopment analysis(DEA) considering operating and scale view. Furthermore, the comparative analysis is performed by firm size, and industry type. In results, fisheries industry’s managerial performance is not high, overall. In more detail, most of big size firms are under decreasing returns to scale(DRS) status. Fishery processing industry’s performance is low, and fishery distribution industry has the best performance. This paper suggests that transferring operating capability from big firms to small firms, and policy supports and firm’s activities should be accompanied for high-value added in fisher, and fishery processing industries.

Foods are becoming more customized and consumers demand food that provides great taste and appearance and that improves health. Food three-dimensional (3D)-printing technology has a great potential to manufacture food products with customized shape, texture, color, flavor, and even nutrition. Food materials for 3D-printing do not rely on the concentration of the manufacturing processes of a product in a single step, but it is associated with the design of food with textures and potentially enhanced nutritional value. The potential uses of food 3D-printing can be forecasted through the three following levels of industry: consumer-produced foods, small-scale food production, and industrial scale food production. Consumer-produced foods would be made in the kitchen, a traditional setting using a nontraditional tool. Small-scale food production would include shops, restaurants, bakeries, and other institutions which produce food for tens to thousands of individuals. Industrial scale production would be for the mass consumer market of hundreds of thousands of consumers. For this reason, food 3D-printing could make an impact on food for personalized nutrition, on-demand food fabrication, food processing technologies, and process design in food industry in the future. This article review on food materials for 3D-printing, rheology control of food, 3D-printing system for food fabrication, 3D-printing based on molecular cuisine, 3D-printing mobile platform for customized food, and future trends in the food market.

Price quotations for SOR / RFQ from OEM clients is a very important process in the automotive parts industry. However, OEM clients are demanding a price quote on short duration but it takes long delivery time due to sales, research and development, purchasing, production and cost management departments role and jobs focused on detail and responsibility. And to provide a reasonable alternative with eliminating the waste of non-value processes is to achieve OEM clients satisfaction through standardized and parallel processing, IT system based on the systems and processes of global benchmark companies.

Analyses were performed with Rosenberg Self-esteem Scale. The population was 1,391 Korean workers in total. Subjects who get scores of self-esteem lower than those before the accidents were 539 people(42.34%). On the other hand, subjects who get the same or higher scores of self-esteem than those before the accidents were 802 people(57.66%). The average score of the whole showed 30.09 point that is higher than 29.99 points that were analyzed from primary panel data. The odds ratio of self-esteem is analyzed to find that what is the most important factor for improving self-esteem of the workers group. The result of odds ratio analysis was 1.60 in the not-to-return-to-work group, significantly higher of the score of self-esteem than the return-to-work group. The statistically significant odds ratio of unemployed workers group from the group of workers who return to work prove the academically conventional social norms. This result shows that the workers condition, whether or not they can return to their work, affects the workers‘ self-esteem. Therefore, the workers' condition for returning to the work should be considered the most important service for Korean workers' compensation and welfare services.

This paper addresses the problem of how to effectively use virtual reality(VR) for improving the quality of safety training systems. As the working environment and the working system in the industry are more and more complex and large-scaled, the concern with system safety is accordingly growing. Safety training systems are regarded as an effective way for increasing workers’ interest in system safety and enhancing their ability of preventing and handling accidents/incidents. Recently, it has been reported that VR would be effectively used for improving the quality of safety training systems, with its technically specialized features. However, little attention has been given to the problem of how to effectively use VR for safety training systems. In order to make the best use of new technology such as VR, it is important to examine its advantages and disadvantages and the contexts to which its use can be beneficial. This paper firstly reviews the current status of safety training systems and the use of VR for safety training systems in the inside and outside of the country. Next, we summarize the interview with safety managers in four manufacturing companies, which was conducted to understand the requirements of stake-holders of the issue. Based on the review and the interview, we suggested the ways of using VR in safety training systems in an effective manner. They are described from the four perspectives: development and maintenance cost, lack of specialized workers, design of accident scenarios used with VR, and empirical demonstration of the effectiveness of VR in safety training.

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer’s capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer’s skill-level. This study intends to social contribution through attempts to optimize enterprise’s goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource’s capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz’s MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

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.

MTO (Make to Order) is a manufacturing process in which manufacturing starts only after a customer’s order is received. Manufacturing after receiving customer’s orders means to start a pull-type supply chain operation because manufacturing is performed when demand is confirmed, i.e. being pulled by demand (The opposite business model is to manufacture products for stock MTS (Make to Stock), which is push-type production). There are also BTO (Build to Order) and ATO (Assemble To Order) in which assembly starts according to demand. Lean manufacturing by MTO is very efficient system. Nevertheless, the process industry, generally, which has a high fixed cost burden due to large-scale investment is suitable for mass production of small pieces or ‘mass customization’ defined recently. The process industry produces large quantities at one time because of the lack of manufacturing flexibility due to long time for model change or job change, and high loss during line-down (shutdown). As a result, it has a lot of inventory and costs are increased. In order to reduce the cost due to the characteristics of the process industry, which has a high fixed cost per hour, it operates a stock production system in which it is made and sold regardless of the order of the customer. Therefore, in a business environment where the external environment changes greatly, the inventory is not sold and it becomes obsolete. As a result, the company’s costs increase, profits fall, and it make more difficult to survive in the competition.Based on the customer’s order, we have built a new method for order system to meet the characteristics of the process industry by producing it as a high-profitable model. The design elements are designed by deriving the functions to satisfy the Y by collecting the internal and external VOC (voice of customer), and the design elements are verified through the conversion function. And the Y is satisfied through the pilot test verified and supplemented. By operating this make to order system, we have reduced bad inventories, lowered costs, and improved lead time in terms of delivery competitiveness. Make to order system in the process industry is effective for the display glass industry, for example, B and C groups which are non-flagship models, have confirmed that the line is down when there is no order, and A group which is flagship model, have confirmed stock production when there is no order.