• The Journal of Information Systems
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• v.15 no.1
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• pp.73-96
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• 2006

Recently, ERP system is used as a important tool of management innovation for enterprise's survival and development. It is very important to recognize how much influence to organizational performance through ERP system implementation. The purpose of this study is to find out the impact of environmental, organizational, information systems characteristics on successful implementation of ERP systems in Korean SMEs(Small and Medium Enterprises). From previous researches on ERP adoption and implementation, 7 independent variables (competitiveness, government support, top management support, process innovation, project management, IS maturity, and ERP customizing), and 1 dependent variables (successful implementation of ERP systems) are identified. 3 questionnaires were removed from the study because of missing or inappropriate responses, and final samples are 91 SMEs. The results of hypothesis testing show that determinants of successful implementation of ERP systems are top management support and IS maturity. Five variables such as competitiveness, government support, process innovation, project management, and ERP customizing do not significantly influence to successful implementation of ERP systems. The contribution of this study is that it provides an empirical evidence of the causal relationship between ERP adoption factor and ERP success. This study showed that top management support and IS maturity are essential to accomplish successful ERP implementation for SMEs.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.5-19
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• 2018

Recently, utilizing the supply chain among companies, major companies support their sub-vendors to establish an environmental management system and transfer the clean production technology(know-how) to them for strengthening of environmental competitiveness. Thus, Green Supply Chain Management(GSCM) became a key successful factor for companies to be environmentally sustainable. This research endeavors to identify the relationship among the inside and outside GSCM implementation activities of Korean manufacturing companies and their financial, operational and environmental performances. Based on a the review of previous research findings, twenty one hypotheses are developed and examined. Total 251 valid responses from 1,634 survey responses are identified and the structural equation models(SEM) are developed and analysed for examining our hypotheses. The result shows that inside GSCM has a positive effect on outside GSCM. Also, it reveals that companies' performances are more positively affected by inside GSCM than by outside GSCM.

• Journal of the Korea Safety Management & Science
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• v.23 no.3
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• pp.47-55
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• 2021

Developed countries that have experienced decline in productivity due to the economic crisis in the past have come to recognize the smart factory as an important means to strengthen the competitiveness of the manufacturing industry due to the increase in labor costs, the avoidance of the manufacturing industry, and the resolution of the shortage of skilled manpower. The necessity of nurturing manpower for self-maintenance was felt through identifying factors for successful smart factory introduction by companies and providing smart factory education. Therefore, the effects of educational satisfaction and operational competency on self-efficacy as a parameter and self-efficacy as a parameter were analyzed using research models and hypotheses to determine whether there was an effect between job satisfaction as a dependent variable. As a result of the analysis, it was found that the mediating effect of self-efficacy and self-efficacy on job satisfaction was found to have significant effects on operational competency and self-efficacy as parameters, as well as educational satisfaction and operational competency. The implication of this study is that continuous education and innovation activities are important in order to increase the business performance of companies, and through this, the manufacturing competitiveness of SMEs can be improved.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1007-1012
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• 2005

Although the design-build (DB) delivery system has been taking great strides in the world and relevant researches have also been quite abundant, few studies have dealt with its potential impacts on the construction industry as a whole. This research first identified the potential entry barrier factors, which may hinder the market access, based on the theory of industrial economics and characteristics of DB project. Then through a nation-wide questionnaire survey involving 103 construction contractors and engineering consultants, the influences of each factor on company's competitiveness and corporate strategies were scrutinized, and consequently, the evolution of the construction industry was examined. It is found that as opposed to the traditional design-bid-build delivery system, the DB delivery system elevates competitive advantages of large organizations in terms of the financial capability, working experience, human resource, and administrative strength, and among them, the financial strength was concluded to be the most significant force in differentiating corporate strategies and widening the gap of competitiveness between companies. It is inferred if the government extensively adopts DB delivery system, large organizations that already possess the competitive advantage tend to obtain both design and construction abilities, and dominate the DB market. Small and medium sized companies will find little room to maneuver and be forced to become specialty sub-contractors.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.159-165
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• 2023

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.53-72
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• 2004

Today we are observing a lot of injuries, casualties, and property losses that are mainly caused by the defects of products. In order to derive safety designs, which minimize the possibility of such product liability-related accidents, we need to take into account the user-product interaction as an important part of the danger factor analysis. Existing risk analysis techniques, however, have some limitations in detecting comprehensive danger factors that are peculiarly involved in human errors and the functional defects of products. Researches on danger factor analysis regarding the user-product interaction have been carried out actively in ergonomics. In this paper, we suggest a novel product risk analysis technique, which is more objective and systematic compared to the previous ones, by combining a modified TAFEI (Task Analysis For Error Identification) technique with SASA (Systematic Approach to Accident Scenario Analysis) technique. By applying this technique to the product design practice in industry, corporations will be able to improve the product safety, consequently strengthening the competitiveness.

• Journal of Navigation and Port Research
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• v.33 no.4
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• pp.263-270
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• 2009

Busan North port is facing crisis due to the opening of the New port. The North Port and NewPort are competing for a limited volume of cargoes and this competition is leading after all to price competition, lowering cargo work fee that may result in the failure of both This paper proposed the balanced development plans, which are the strategies of business tie-up and activation between the North Port and NewPort by introducing the strategy of "co-opetition" and the analysis for the success factor of co-opetition: to solve this operational problems on Busan port. It is found out that activation strategy is more successful co-opetition strategy than business tie-up strategy. The execution for the two co-opetition strategies will lead Busan Port to the balanced development as well as the enhanced competitiveness and will leap Busan port into global hub port as well.

• International journal of advanced smart convergence
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• v.5 no.1
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• pp.51-58
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• 2016

Regarding the role of infrastructure in the university and education sector, which is the most important factor for securing future competitiveness of a country, timely application from qualified applicants is an important factor. Thus, this study is to propose creative value regarding education and certification for smart IT sector, which will be a major topic in continuous technology development over the next 10 more years, and to bring out ripple effects by policy research regarding education and certification for smart IT sector in the software-oriented society. This research on policy regarding education and certification for smart IT sector in the software oriented society can be used as a guideline in education and certification for smart IT sector at colleges and can be also used for establishing groundwork for completing practical education required in smart ICT field at colleges and for cultivating mobile app program developers required by enterprises.

• The Journal of Information Systems
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• v.6 no.2
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• pp.29-50
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• 1997

This paper addresses the issues of affecting factors to measure the satisfaction degree in PC communication utilizations. In order to develope an optimal model, we study appropriate affecting factors in PC communication utilizations through the focus group interviews with student users, and surveys the satisfaction levels that users have felt in services. Based on the optimal regression model, we suggest an appropriate satisfaction model in PC communication utilizations. That model shows that most users are interested in the A/S area for use. A/S factor is the most powerful one to the satisfaction model. Second one is usefulness, next is DB quality. But service-ability factor and convenience one are negative ones. Most users think that their factors are in the way of fluent communication. So to keep the competitiveness in the PC communication utilizations, the negative factors should be amended as soon as possible.

• Asian Journal of Innovation and Policy
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• v.5 no.2
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• pp.129-145
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• 2016

This is a case study to analyze the role of technology licensing or transfer office (TLO) as factors of success for the spin-off from government research lab. The case company is a research lab startup, which is a joint venture through technology investment by a government research lab or university in the designated R&D parks and cash investment by the partner company. The case company listed on the stock market in 2015 reaching a market capitalization of US$ 1.2 billion. We confirm the success factors of startups pointed out in many studies: original technology, good understanding of core technology and production technology, technological competitiveness in the market. However, there is an important factor not well discussed in the previous studies, the role of TLO. TLO guided the company ownership, management, technology, and solved problems that pause business itself. The case became the sample of research lab startup and technology investment in Korea.