• Title/Summary/Keyword: GROW model

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Proposed a Checklist for the Classification of Construction Business Model by Utilizing the Price Influence Factors and the Construction Regulation - As Focus on Aged Public Rental Apartment - (가격영향요인과 건설제도를 활용한 건설사업 유형분류 체크리스트 제안 - 노후공공임대주택 중심으로 -)

  • Park, Seongsik;Bae, Byungyun
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.6
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    • pp.132-141
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    • 2019
  • 1990s, Construction market continued to grow in South Korea exceeding 20% of GDP. In 2015, more than 30 years of old multi-family dwellings amounted to 4.93 million and it continues to increase until 2019. In Particular, the share of Public rental Housing accounts for 90.6% of South Korea's Total aging housing. Before checking the feasibility of Construction Project Management such as Renovation and Reconstruction, Checklists were presented through price impact factor analysis and analysis of housing construction system(Regulation). Based on 32 Price Influencing factors and 20 Indicators based on the housing construction system The Construction project management seems appropriate. As a result, the 22 complexes were found to be suitable for remodeling. This study is meaningful enough to be used for Domestic rental Housing construction and Construction project management and to suggest specificity. Future Research is needed to Quantify the checklist.

A study on the overseas expansion strategy of domestic ICT companies in the post-corona era -Focusing on case studies of ICT companies- (포스트 코로나 시대의 국내 ICT기업의 해외 진출 전략에 관한 연구 -ICT 기업 사례분석을 중심으로-)

  • Park, Sang-Hee;Kim, Ki-Yoon;Jung, Hyun-Seung;Hyun, Daiwon
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.163-173
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    • 2021
  • The purpose of this study was to explore a support model for domestic ICT companies to advance into overseas markets suitable for the post-corona era along with the rapidly changing global economic situation. As a result of the analysis, first, by analyzing the internationalization cases of domestic ICT companies through the realization theory, in the COVID-19 situation, domestic ICT companies organically respond to crisis situations through ad hoc responses, use of international networks, use of external organizations, and resource-based practices. Through qualitative analysis, we were able to confirm that we are growing overseas while achieving our goals. In addition, strategies for domestic ICT companies to grow through internationalization were derived. Ultimately, it was interpreted as a part that required advancement of government policy according to the government's overseas expansion support system.

Chitosan/hydroxyapatite composite coatings on porous Ti6Al4V titanium implants: in vitro and in vivo studies

  • Zhang, Ting;Zhang, Xinwei;Mao, Mengyun;Li, Jiayi;Wei, Ting;Sun, Huiqiang
    • Journal of Periodontal and Implant Science
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    • v.50 no.6
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    • pp.392-405
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    • 2020
  • Purpose: Titanium implants are widely used in the treatment of dentition defects; however, due to problems such as osseointegration failure, peri-implant bone resorption, and periimplant inflammation, their application is subject to certain restrictions. The surface modification of titanium implants can improve the implant success rate and meet the needs of clinical applications. The goal of this study was to evaluate the effect of the use of porous titanium with a chitosan/hydroxyapatite coating on osseointegration. Methods: Titanium implants with a dense core and a porous outer structure were prepared using a computer-aided design model and selective laser sintering technology, with a fabricated chitosan/hydroxyapatite composite coating on their surfaces. In vivo and in vitro experiments were used to assess osteogenesis. Results: The quasi-elastic gradient and compressive strength of porous titanium implants were observed to decrease as the porosity increased. The in vitro experiments demonstrated that, the porous titanium implants had no biological toxicity; additionally, the porous structure was shown to be superior to dense titanium with regard to facilitating the adhesion and proliferation of osteoblast-like MC3T3-E1 cells. The in vivo experimental results also showed that the porous structure was beneficial, as bone tissue could grow into the pores, thereby exhibiting good osseointegration. Conclusions: Porous titanium with a chitosan/hydroxyapatite coating promoted MC3T3-E1 cell proliferation and differentiation, and also improved osseointegration in vitro. This study has meaningful implications for research into ways of improving the surface structures of implants and promoting implant osseointegration.

Effects of Non-aeronautical Revenue on Airport Charges: Moderation of Private Ownership (비항공수익이 공항사용료에 미치는 영향: 민간지분의 조절효과를 중심으로)

  • Shin, Taejin;Roh, Taewoo
    • Journal of Digital Convergence
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    • v.17 no.9
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    • pp.39-46
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    • 2019
  • This study started with the question of whether the percentage of non-aeronautical revenues at Incheon airport was extremely high when compared with other international airports. Although aeronautical revenues for the airport based on the traditional business model have the limits to grow due to various regulations, stakeholders concerned about improving the competitiveness recently have been interested in increasing non-aeronautical revenues. This study deals with the effect of non-aeronautical revenues at international airports on airport charges as the extent of airport privatization get stronger. To examine hypotheses, we collected international data from trustful sources. Finally, we conducted an empirical analysis of 178 airports worldwide. As a result, the higher the percentage of non-aeronautical revenues at international airports, the lower the airport charges were. Besides, the private equity ratio positively moderated the relationship between the percentage of non-aeronautical revenues and airport charges. Privatization of airports may offset the effects of reduced airport charges through increased commercial activity. Graphical display for moderation effect is offered to facilitate comprehension.

The domestic situation of ethnic food restaurants and Service Failure, recovery, trust, satisfaction, loyalty of the Study on the Quality of Service (에스닉 푸드점 외식업의 실태와 서비스 품질이 서비스 실패, 회복, 신뢰, 만족, 충성도의 상관관계에 관한 연구)

  • Park, Ji Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.385-397
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    • 2021
  • This study examined service failure and recovery of domestic ethnic food restaurants based on a model of the repercussions of service failure dealing with seriousness and control and the cause-and-effect relationships among the variables relevant to the quality of relationships -trust, satisfaction, and loyalty. This study provides valuable information for Korean restaurant managers regarding food service failure and response plans by collecting data from actual Japanese tourists visiting ethnic food restaurants. The results suggested that it is important to develop a strategy to present the distributional fairness to customers who recognize the seriousness of service failure to control the situation promptly. These results can be used to establish more systematic business plans, improving customer management and firm performance. The advantage of this research is that it is time for substantial research data on the booming domestic restaurant industry and service quality to overcome the current recession and grow and solidify the current restaurant market.

Effects of Perception of Job Characteristics on Innovation Behavior and Innovation Resistance

  • YANG, Hoe-Chang
    • The Korean Journal of Franchise Management
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    • v.11 no.4
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    • pp.7-15
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    • 2020
  • Purpose: The purpose of this study is to clarify the role of decoupling between job characteristics, innovation behavior, and innovation resistance in order to seek ways for companies to survive and grow continuously through innovation activities in various uncertain situations. Research design, data and methodology: A total of 263 valid questionnaires were collected and used for analysis for employees working at the company. For the analysis, simple and multiple regression analysis, and 3-step mediated regression analysis were conducted using SPSS 24.0 and AMOS 24.0. Results: First, it was found that skill variety, task identity, autonomy, and feedback increase decoupling, and decoupling increases innovation resistance. In addition, it was confirmed that decoupling had a mediating effect between job characteristics and innovation resistance excluding task significance. Finally, it was found that task significance and feedback increase innovation behavior, and decoupling and task identity increase innovation resistance, but feedback can alleviate innovation resistance. Conclusions: As a result of the analysis, the fact that job characteristics excluding task importance have a positive effect on decoupling means that there are two sides of job characteristics perceived by employees. In other words, it means that the results of analysis on the jobs that the company assigns to its members may not be effective. In addition, decoupling, a phenomenon that seems to be accepting on the outside, but perceives that it is negative on the inside, means that there is a possibility to reject innovation. Therefore, prior to carrying out innovation activities, companies should give clear job specifications and meanings for the job and give them autonomy when assigning jobs to their members. In order to provide appropriate feedback, the company must design, operate, and provide feedback. It was found that there was a need to review the overall effectiveness. In addition, efforts such as strengthening corporate-level fairness, maintaining psychological contracts, and realizing authentic leadership should be preceded to reduce decoupling.

Development of GK2A Convective Initiation Algorithm for Localized Torrential Rainfall Monitoring (국지성 집중호우 감시를 위한 천리안위성 2A호 대류운 전조 탐지 알고리즘 개발)

  • Park, Hye-In;Chung, Sung-Rae;Park, Ki-Hong;Moon, Jae-In
    • Atmosphere
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    • v.31 no.5
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    • pp.489-510
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    • 2021
  • In this paper, we propose an algorithm for detecting convective initiation (CI) using GEO-KOMPSAT-2A/advanced meteorological imager data. The algorithm identifies clouds that are likely to grow into convective clouds with radar reflectivity greater than 35 dBZ within the next two hours. This algorithm is developed using statistical and qualitative analysis of cloud characteristics, such as atmospheric instability, cloud top height, and phase, for convective clouds that occurred on the Korean Peninsula from June to September 2019. The CI algorithm consists of four steps: 1) convective cloud mask, 2) cloud object clustering and tracking, 3) interest field tests, and 4) post-processing tests to remove non-convective objects. Validation, performed using 14 CI events that occurred in the summer of 2020 in Korean Peninsula, shows a total probability of detection of 0.89, false-alarm ratio of 0.46, and mean lead-time of 39 minutes. This algorithm can be useful warnings of rapidly developing convective clouds in future by providing information about CI that is otherwise difficult to predict from radar or a numerical prediction model. This CI information will be provided in short-term forecasts to help predict severe weather events such as localized torrential rainfall and hail.

Diversity, Interspecific Interaction and Abundance of Undergrowth in Monocultures and Integrated Systems of Natural Rubber Plantation in Danzhou, Southern China

  • Chima, Uzoma Darlington;Qi, Dongling;Wu, Zhixiang;Lan, Guoyu;Chen, Li
    • Journal of Forest and Environmental Science
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    • v.38 no.2
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    • pp.75-89
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    • 2022
  • The negative impact of monoculture rubber plantations on biodiversity and associated ecological processes/ecosystem services has led to suggestions on the use of integrated land use systems for rubber cultivation and production in order to ensure environmental sustainability. However, there is paucity of information on the effect of such integrated land use systems on the diversity and abundance of the rubber plantation undergrowth. We evaluated and compared undergrowth plant species composition, richness, abundance, diversity and interaction, in three integrated systems (Rubber-Strelitzia reginae Integrated System - RSrIS, Rubber-Podocarpus nagi Integrated System - RPnIS & Naturally Managed Rubber Plantation - NMRP) with three Rubber Monoculture Plantations (RMP1, RMP2 & RMP3) adjacent to the integrated systems, respectively, at the Investigation and Experiment Station of Tropical Crops, Danzhou, Hainan, China. Undergrowth species density was higher in the rubber monocultures than in the integrated systems except in RSrIS. Species richness and diversity were also higher in the monocultures except in NMRP. Species similarity/interaction between the monocultures and the integrated systems was highest between RMP3 and NMRP. The NRMP proved to be the best model of natural rubber integrated system for the conservation of undergrowth species richness, diversity and interspecific interaction. However, the conservation of undergrowth species in other forms of integrated natural systems can be enhanced by considering the ecology of species to be integrated in terms of their growth characteristics, competitive nature, and ability to grow in association with other species.

Study on Equivalent Consumption Minimization Strategy Application in PTI-PTO Mode of Diesel-Electric Hybrid Propulsion System for Ships

  • Lee, Dae-Hong;Kim, Jong-Su;Yoon, Kyoung-Kuk;Hur, Jae-Jung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.3
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    • pp.451-458
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    • 2022
  • In Korea, five major ports have been designated as sulfur oxide emission control areas to reduce air pollutant emissions, in accordance with Article 10 of the "Special Act on Port Air Quality" and Article 32 of the "Ship Pollution Prevention Regulations". As regulations against vessel-originated air pollutants (such as PM, CO2, NOx, and SOx) have been strengthened, the Ministry of Oceans and Fisheries(MOF) enacted rules that newly built public ships should adopt eco-friendly propulsion systems. However, particularly in diesel-electric hybrid propulsion systems,the demand for precise control schemes continues to grow as the fuel saving rate significantly varies depending on the control strategy applied. The conventional Power Take In-Power Take Off(PTI - PTO) mode control adopts a rule-based strategy, but this strategy is applied only in the low-load range and PTI mode; thus, an additional method is required to determine the optimal fuel consumption point. The proposed control method is designed to optimize fuel consumption by applying the equivalent consumption minimization strategy(ECMS) to the PTI - PTO mode by considering the characteristics of the specific fuel oil consumption(SFOC) of the engine in a diesel-electric hybrid propulsion system. To apply this method, a specific fishing vessel model operating on the Korean coast was selected to simulate the load operation environment of the ship. In this study, a 10.2% reduction was achieved in the MATLAB/SimDrive and SimElectric simulation by comparing the fuel consumption and CO2 emissions of the ship to which the conventional rule-based strategy was applied and that to which the ECMS was applied.

Forecasting LNG Freight rate with Artificial Neural Networks

  • Lim, Sangseop;Ahn, Young-Joong
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.7
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    • pp.187-194
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    • 2022
  • LNG is known as the transitional energy source for the future eco-friendly, attracting enormous market attention due to global eco-friendly regulations, Covid-19 Pandemic, Russia-Ukraine War. In addition, since new LNG suppliers such as the U.S. and Australia are also diversifying, the LNG spot market is expected to grow. On the other hand, research on the LNG transportation market has been marginalized. Therefore, this study attempted to predict short-term LNG 160K spot rates and compared the prediction performance between artificial neural networks and the ARIMA model. As a result of this paper, while it was difficult to determine the superiority and superiority of ARIMA and artificial neural networks, considering the relative free of ANN's contraints, we confirmed the feasibility of ANN in LNG 160K spot rate prediction. This study has academic significance as the first attempt to apply an artificial neural network to forecasting LNG 160K spot rates and are expected to contribute significantly in practice in that they can improve the quality of short-term investment decisions by market participants by increasing the accuracy of short-term prediction.