Smart sewage treatment plant means creating a safe and clean water environment by establishing an ICT-based real-time monitoring, remote control management and intelligent system for the entire sewage treatment process. The core technology of such a smart sewage treatment plant can be operation control technology using measuring instruments. This research team analyzed and suggested the operation control technologies necessary for the establishment of the intelligent business by referring to the intelligent research projects of the sewage treatment plant in progress in Korea. As a result of the analysis, a total of six removal technologies were presented, including control by scale, reflow water control, linked treated water control, chemical quantity control, winter operation control, and total organic carbon control. By size, standards that can be classified into small and medium-sized large-scale are presented, and in the case of reflow water control, the location of water quality and flow sensors capable of managing reflow water is suggested. In the case of the linked treated water control, the influence and control points of the linked treated water on the sewage treatment plant were presented, and in the case of the chemical injection volume control, a system capable of optimizing the amount of chemical injection according to the introduction of an intelligent sewage treatment plant was presented. In the case of winter operation, the sensors and pumps to be controlled are suggested when considering the decrease in nitrification due to the decrease in water temperature. In the case of total organic carbon control, an interlocking system considering the total amount of pollution in the future was proposed. These operation control scenarios are expected to be used as basic data to be used in intelligent sewage treatment algorithms and scenarios in the future.
Journal of the Economic Geographical Society of Korea
/
v.20
no.1
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pp.16-33
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2017
This study analyzed the actual condition of the purchasing and selling network structures of manufacturing firms related the shipbuilding and offshore plant industry in Jeollanam-do using the social network analysis. The analysis results are as follows. The networks are often traded by subcontracting relationship with large firms because the industry is configured in most small and medium-sized firms. In particular, it was found to actual situation that selling transactions are being concentrated in the manufacturing firms of Yeongnam where large firms have located. Structural adjustment of the large firms located in the Yeongnam is expected to strike a blow to the manufacturing firms related the shipbuilding and offshore plant industry in Jeollanam-do due to the recently crisis in the shipbuilding industry. Therefore, it is necessary to secure a diversity of networks for selling transactions, and to discover and promote that selling firms related the shipbuilding and offshore plant industry in Jeollanam-do, in order to cope with such a crisis.
Textile fashion industry is a core foundation industry, having the majority of companies with 10 or more workers, in Northern Gyeonggi Province. however the industry is mostly comprised of small unit-stream enterprises, orders are greatly reduced due to lately accelerated overseas expansion of medium/large-sized vendors and the growth-inhibiting vicious circle has being set in, as this situation causes the reduction of investment. For resolving the problems, this study proposes required political factors and concrete policy proposals by designing AHP research model(4 layers and 36 elements), based on grasp of the transitional aspect of industrial scale and business environment through analysis of various industrial statistics, preceding research such as related literature search and (industrial/academic/R&D/government) specialist opinion investigation, and then calculating relative importance and priority of each factor(element) within each layer. And for raising usefulness and availability of the research result by concretely suggesting the vision, strategies, core tasks and detailed projects in which the research model and deduced result are reflected.
This study is related to the performance of open innovation collaboration between startups and large corporations and financial institutions. In the life cycle of a typical company, the growth of a startup is difficult to predict. Startups that possess innovative technology but have only recently been established seek to verify their technology and capabilities by participating in open innovation with large corporations and financial institutions, and further strive to lay the foundation for corporate growth. However, if you approach it only as a theoretical coexistence plan, it will be viewed as a vague attempt from the startup's perspective. The purpose of this study is to differentiately verify the benefits of open innovation by analyzing the difference in sales growth of startups for the purpose of sales performance based on the open innovation participation of large companies and small and medium-sized companies(startups). In verifying this, the analysis was based on the sales results of the actual open innovation collaboration B2C model, and the difference was confirmed by comparing before and after collaboration. Here, the differentiation of the study was added by reflecting the corporate growth stage theory, a growth theory. When the corporate growth stage theory was excluded, it was confirmed that sales growth due to open innovation of startups was applied from the third month, and sales growth depending on participation was confirmed to be significant. On the other hand, when the corporate growth stage theory was applied, sales growth was not significant, but the difference in growth could be confirmed from the fourth month, and it was also confirmed in sales growth depending on participation. As a result, this study objectively confirms the effects that can be gained when startups participate in Open-innovation, and it is expected that Open-innovation led by large corporations, financial institutions, and government agencies will develop into a high-quality program environment.
As customers' irrational, rude behaviors are often covered by media recently, the issue is becoming a more serious social issue. Workers' stress in the service industry is very severe because they have to face and interact with customers with rude behaviors in-person due to the nature of the job. As a result of customers' rude behaviors, workers even desire to leave their organization because they feel doubts about their job and have negative emotions such as unpleasantness, depression, and fear. Considering that customers' rude behaviors directly impact service industry workers' ability to offer proper service, it is necessary to have appropriate measures against their rude behaviors. This research examined the impact of customers' rude behaviors on service industry workers' emotional dissonance, its impact on job stress, and the impact of job stress on organizational deviance, life violations and creativity. The study also analyzed the moderating effects of stress management education in emotional dissonance and job stress relationship to device ways to manage job stress more positively. To collect data, the study conducted a survey on medical service workers in the customer service sector of large general hospitals and small or medium-sized hospitals in Busan, and the results were as follows. First, rude behaviors had a significant positive(+) effect on emotional dissonance, which had a significant positive(+) effect on job stress. Third, job stress had a significant positive(+) effect on both organizational deviance an life violations. Fourth, job stress had a negative(-) significant effect on creativity. Fifth, there was no moderating effect of stress management education in the relationship between emotional dissonance and job stress.
Small and medium-sized enterprises(SMEs) have limited human and material resources than large firms. SMEs are characterized by high risk and dynamic working environments. Thus human resources having knowledge and technologies are very important factor for survival and performance in SMEs. Recently, as core employee group is a key asset to firm competitiveness, many SMEs attend to set up core employee policy and system. The purposes of this research are to examine the effect of core employee policy and core employee management system on competitiveness of human resource and organizational commitment in SMEs. The major findings of the research are core employee policy have non-significant influence core employee management system, core employee policy have positive influence competitiveness of human resource, core employee management system have non-significant influence competitiveness of human resource, and competitiveness of human resource have positive influence organizational commitment in SMEs.
The Construction Technology Information System collects, processes, and provides the public with free of charge 16 types of construction technology-related texts or index information, such as construction standards, construction practices, and construction reports, required at construction sites to enhance domestic construction technology. This study judged that user satisfaction could be increased if the budget was allocated first to the most effective construction technology information DB establishment. For each type of construction technology information, the level of satisfaction felt by the population for the quantity provided and the value of use according to the acquisition and utilization of information were investigated. Reliability between independent variables and dependent variables through a multiple regression analysis process to identify how the demographic characteristics of the population affect user satisfaction and the factors that affect the use value of information for each type of construction technology information. and the correlation was analyzed. The correlation between the demographic characteristics of respondents and users' satisfaction with the provided quantity was generally low, but construction experience, age, etc. were found to have an effect on satisfaction with the provided quantity. In particular, among the demographic measurement items of respondents, the more construction experience they had, the higher their satisfaction level with the quantity provided of low-level technical standards, and it was analyzed that older age had an impact on satisfaction with the quantity provided for small and medium-sized business support information.
Journal of the Korea Institute of Building Construction
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v.10
no.1
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pp.111-120
/
2010
The public construction industry in Korea involves a variety of stakeholders, encompassing multiple layers of contractual relationships that crisscross between the State as project client and the contractors, as well as subcontractors. In such a hierarchical landscape, managerial crises of contractors involving bankruptcy or insolvency can result in unexpected damages for both clients and subcontractors. Accordingly, the applicable legal framework requires project clients to act as patrons in relation to making payments to subcontractors, and stipulates provisions pertaining to direct payments to subcontractors in order to promote the balanced development of the national economy in terms of the public interest by protecting small and medium-sized businesses working as subcontractors for large businesses. However, the relevant legal documents provide for different payment criteria and procedures from document to document, and leave room for variations in the interpretation and construction of applicable provisions, which leads to disputes and discrepancies in court rulings. For this reason, it is necessary not only to compare and analyze statutory provisions pertaining to direct payment to subcontractors, but also to review issues of contention in actual cases. This study aims to analyze issues in cases involving payment to subcontractors from the perspective of the project client overseeing and supervising the construction business. The conclusions from such an analysis will help to effectively resolve subsequent cases of a similar nature by suggesting a strategy to improve the relevant statutory provisions pertaining to direct payment to subcontractors.
Previous studies related with the relationship between R&D and innovation have focused on the role of R&D on innovation, and the empirical results have been not consistent. Although government policy supports have been considered a crucial factor to make innovation, it is true that there are little studies investigating the moderating effects of government policy supports on the relationship between R&D and innovation. The studies related with government policy supports mainly examined the direct effects of government policy supports on innovation. Using 2008 innovation activity table from STEPI, this study investigated the effect of R&D on innovation and the moderating effects of government policy support on the relationship between R&D and innovation. The data used in this study contains 532 Korean small and medium sized firms and information was collected over 3 years(2006-2008). The empirical results reports that R&D positively influences innovation and the moderating effects of government policy on the relationship is statistically significant. Therefore, This study suggests that R&D is required to firms for innovation and government policy supports are needed for connecting the R&D and innovation.
The purpose of this study is to verify the factors affecting corporate bankruptcy by using non-financial information of companies invested by credit guarantee institutions. In this study, 594 companies (525 normal companies, 69 insolvent companies) invested in by the Korea Credit Guarantee Fund from March 2014 to the end of December 2022 were selected as samples. Non-financial information of companies was divided into founder characteristics information, company characteristics information, and corporate investment information, and cross-analysis and logistic regression analysis were conducted. As a result of the cross-analysis, personal credit rating, industry, and joint investment were selected as significant variables, and logistic regression analysis was conducted for those variables, and two variables, personal credit rating and joint investment, were selected as important factors for bankruptcy. In business management, the founder's personal credit and the importance of joint investment in investment support were found out. It will help to minimize bankruptcy if institutions that support investment in SMEs reflect these results in their screening and systematically build cooperative relationships with private investment institutions. It is hoped that this study will provide an opportunity to pay more attention to the factors that affect the bankruptcy of companies that receive direct investment from public institutions.
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