• Journal of Digital Convergence
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• v.15 no.11
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• pp.175-185
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• 2017

This paper aims to determine whether the changes in management performance of domestic agricultural cooperatives had an effect on the election results of Korean Agricultural Cooperatives in 2015. Financial performance data (2012-2015) prior to the Nation-wide Cooperatives elections in 2015 were reviewed to determine the impact of the election outcome on the election results. 2SLS Probit regression analysis shows that the significant parameters for incumbent president turnover in the 2015 election were the candidates' age, net profit decrease in 2014, and ROA comparison to similar asset-size group. These results support the conclusion that the union members of KAC consider whether the age of president is over 60, whether the net profits of the cooperatives are worse than the previous year, and compare the results of similar groups' managerial performance (ROA).

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.8
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• pp.110-115
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• 2009

Recently, there has been a growing global interest in environmental conservation, and the field of electric power equipment has been working to become more environment-friendly. Accordingly, the low noise cooling fan of power transformers was developed through the improvement of blade shape. These are expected to apply to existing power transformers and low noise transformers. It is essential for low noise fan to possess good cooling performance as well as low audible noises. But, there was not analysis on the audible noise level and the cooling performance for low noise cooling fans until present. In this paper, we measure the audible noise level and the flow rate of low noise cooling fans to inspect the performance, Also, we confirmed that the low noise cooling fan is available to apply to power transformers through temperature rise tests of power transformers.

• Korea Trade Review
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• v.47 no.2
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• pp.155-174
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• 2022

This study aims to analyze the effect of service quality on e-commerce utilization performance in B2B market. Measurement factors derived from the survey were examined, and whether they had a positive effect on the performance of e-commerce utilizing was examined. The survey period was conducted on the Likert-5 score scale for about four months from November 2021 to February 2022, and 2,200 copies were distributed online and offline, and a total of 268 copies were used for empirical analysis. The moderating effect of the research methodology was analyzed by using multiple regression analysis and PROCESS MACRO. Three factors of service quality were secured and the influence relationship on e-commerce utilization performance was derived. Study results were as follows. First, interaction, logistics and economics have a positive effect on the level of e-commerce utilization. It means SMEs can increase the level of use of e-commerce as they produce and deliver goods with high economic contribution from the perspective of foreign companies, accuracy of goods transportation services, and purchasing companies. Second, It was confirmed that the effect of service quality on the utilization performance of e-commerce varies depending on the degree of corporate image. Therefore, it will be important to plan a management strategy first to improve service quality in order to increase e-commerce activities.

• Geomechanics and Engineering
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• v.15 no.6
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• pp.1207-1217
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• 2018

Geomechanics parameters are critical to numerical simulation, stability analysis, design and construction of geotechnical engineering. Due to the limitations of laboratory and in situ experiments, back analysis is widely used in geomechancis and geotechnical engineering. In this study, a hybrid back analysis method, that coupling numerical simulation, response surface (RS) and relevance vector machine (RVM), was proposed and applied to identify geomechanics parameters from hydraulic fracturing. RVM was adapted to approximate complex functional relationships between geomechanics parameters and borehole pressure through coupling with response surface method and numerical method. Artificial bee colony (ABC) algorithm was used to search the geomechanics parameters as optimal method in back analysis. The proposed method was verified by a numerical example. Based on the geomechanics parameters identified by hybrid back analysis, the computed borehole pressure agreed closely with the monitored borehole pressure. It showed that RVM presented well the relationship between geomechanics parameters and borehole pressure, and the proposed method can characterized the geomechanics parameters reasonably. Further, the parameters of hybrid back analysis were analyzed and discussed. It showed that the hybrid back analysis is feasible, effective, robust and has a good global searching performance. The proposed method provides a significant way to identify geomechanics parameters from hydraulic fracturing.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.6
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• pp.955-967
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• 2016

As transportation systems for connecting lands and islands, oversea long-span bridges, underwater tunnels, and immersed tunnels have been mainly used so far. Submerged floating tunnels (SFTs) moored under specific water depth are one of the newest oversea transportation system. Compared to other existing systems, the new system requires relatively less construction cost and time. But, there is still no construction example. For reasonable design of the tunnel and mooring lines the rational structural analysis should be firstly performed. Unlike common transportation structures, the submerged tunnels are mainly affected by the wave, vary irregular excitation component. So, the analysis scheme might be difficult because of the characteristics of the submerged structures. This study aims to suggest the rational global performance analysis methodology for the submerged tunnels. Using ABAQUS the dynamic response of the experimental models studied by KIOST (2013) was investigated considering regular waves. By comparing the simulation results with the experimental results, the feasibility of the numerical simulation was verified. Using the suggested method, the effects of initial inclination of the tethers and draft of the tunnel on the dynamic behavior were studied. In addition, dynamic response of a SFT under the irregular wave was examined.

• Korean Association of Arts Management
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• no.51
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• pp.75-102
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• 2019

This study aims to figure out the progression of Hyundai motor's corporate cultural marketing by conducting semantic network analysis. Although the previous research has focused on conception, categorization, impact, and performance of cultural marketing, they hardly pay attention to changes in cultural marketing over time. To explore the identified gap, we collected 2,315 articles concerning Hyundai motor's cultural marketing on daily newspapers printed from 2001 to 2018. The 18-year time period was classified into four periods, and lists of words were extracted and analyzed by Korean language analysis program, Textom and social network analysis program, called 'UCINET'. The outcome of our analysis indicates that Hyundai Motor's cultural marketing has been developed from the strategy of merely increasing sales to the means of distinguishing their corporate and brand identity. In the early 2000s, the words 'customer', 'The Age of Great Paintings: Rembrandt and the 17th century Dutch paintings', and 'performances' were extracted with high frequency. It shows Hyundai Motor held performance-oriented events and provided benefits to specific consumer groups under the type of 'Cultural Promotion'. In addition, as the exhibition sponsored by Hyundai motor was reported in the media with high publicity effect, the concept of 'Cultural Support' is also emerged. In the late 2000s, the top exposures were 'Seoul Arts Center' and 'Seoul Metropolitan Symphony Orchestra'. Under the concept of 'Cultural Support', both organizations and cultural events were sponsored by Hyundai motor. Hyundai Motor has the tendency to cooperate with high profile parties who have already accomplished high publicities to attract social interests and issues. In the early 2010s, Hyundai Motor created cultural marketing brand and space ('Brilliant' and 'Hyundai Art Hall') that broadened the potential target groups, which represented both 'Cultural Support' and 'Cultural Enterprise'. In the middle and late of the 2010s, as shown by the high frequency of 'brand' and 'global', Hyundai Motor has focused on the global market and viewpoint has expanded to brand building focusing on the type of 'Cultural Enterprise'.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.291-298
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• 2020

The power generation of a PV system changes according to the weather variables, such as solar radiation and temperature. In particular, the output characteristics of photovoltaic systems, which are sensitive to changes in solar radiation, can be produced effectively and reliably in various weather conditions through MPPT (Maximum Power Point Tracking) control. This paper proposes a fuzzy-based MPPT control method to improve the efficiency and stability of the power production from a solar system. To verify the performance of the proposed method, under the same weather environment, the efficiency and stability of the newly proposed fuzzy logic were compared and evaluated empirically with P&O (Perturb and Observe), a representative algorithm of MPPT control. Furthermore, the circuits designed to improve the reliability and reliability of the hardware were manufactured from Printed Circuit Boards (PCB) to conduct experiments. Based on the results of the experiment during a certain period, the fuzzy-based MPPT proposed in this paper improved the efficiency by more than 4.4% compared to the MPPT based on the existing P&O algorithm and decreased the fluctuation width by more than 39.7% at the maximum power point.

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.69-83
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• 2015

This study proposes effective overseas market entry strategies that could allow Korean logistics companies to develop international capabilities and become global firms by adapting to environmental changes in global logistics. First, it reviews the overseas networks of Korean international freight forwarders and the recent trends in the global logistics market. Then, it surveys the conditions of two groups of freight forwarders, namely partnerships and subsidiaries, which are categorized according to type of entry into foreign markets. These companies' networks are concentrated in East and Southeast Asia regardless of network type. As a result, the ability for partnerships to network is higher than that of subsidiaries. However, subsidiaries are small in number and located in various regions because of their initial stage, which is why their businesses depend on the price competitiveness of the parent company. The satisfaction and performance of subsidiaries are both generally low according to the presented findings. In addition, the successful strategies of international freight forwarders include following operations, specializing their logistics services, building collaborations among small and medium-sized companies, recruiting and training professional human resources in international logistics, and entering markets together with their customers. Overall, this study highlights the importance of measuring and evaluating objectively the level and performance of overseas networking through a survey about the internationalization of Korean freight forwarder companies. To conclude, this study is considered to contribute to raising their global competitiveness by suggesting strategies derived from the survey findings and SWOT analysis.

• The Korean Journal of Franchise Management
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• v.3 no.2
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• pp.39-54
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• 2012

Franchise system in Korea has been developed in different way compared with American way of franchising based on mutual contract and intellectual property context. Korean franchising is mostly based on product distribution franchise concept rather than business format franchise in which franchisor makes revenue sources from providing their products as much as possible thru group purchasing and logistics rather than receiving royalty. Many franchise enterprises from Korea drive to enter into global franchise market based on the successful performance of Korean way of franchising. Korean enterprises are required to prepare completely for research and survey regarding local culture, custom, way of life and legal matters etc. when entering into global franchise market to gain a substantial performance. CaffeBene recently entered into American franchise business with success, and many other Korean franchise enterprises have a deep interest in proceeding with global franchise business modeling CaffeBene case. There is no Korean franchise enterprise in United Kingdom in which service franchise area in particular with personal service is considered to become a promising and potential franchise business and many people show a great interest in Oriental foods and beverages with well-being trend. Korean franchise enterprises have now access to United Kingdom easier because IT industry including internet of the country have been developed by leaps and bounds since London Olympic in 2012. The purpose of this study is to suggest key success factors and basic strategy such as situation analysis, selecting business format, and marketing strategy for successful launching of franchise business in United Kingdom.

• The Journal of Bigdata
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• v.9 no.1
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• pp.31-47
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• 2024

With the advancement of artificial intelligence, the travel and hospitality industry is also adopting AI and machine learning technologies for various purposes. In the tourism industry, demand forecasting is recognized as a very important factor, as it directly impacts service efficiency and revenue maximization. Demand forecasting requires the consideration of time-varying data flows, which is why statistical techniques and machine learning models are used. In recent years, variations and integration of existing models have been studied to account for the diversity of demand forecasting data and the complexity of the natural world, which have been reported to improve forecasting performance concerning uncertainty and variability. This study also proposes a new model that integrates various machine-learning approaches to improve the accuracy of hotel sales demand forecasting. Specifically, this study proposes a new time series forecasting model based on XGBoost that selectively utilizes a local model by clustering with DTW K-means and a global model using the entire data to improve forecasting performance. The hotel demand forecasting model that selectively utilizes global and regional models proposed in this study is expected to impact the growth of the hotel and travel industry positively and can be applied to forecasting in other business fields in the future.