• Journal of Digital Convergence
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• v.12 no.10
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• pp.191-199
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• 2014

This study was analyzed to relate between business performance and leadership types for global corporations practically. Also, in this study for research, Have developed a research model to analyze comprehensively using the business performance and leadership theory. One of the important things are leader's characteristics or contingency factors at global corporations, but leadership is being re-evaluated through how it enable to perceive and to evaluate at the organization. Therefore, this study had been analyzed to relationship with the type of global readers between the employee's perception and business performance focusing on research model The research results had shown that job satisfaction, performance variables like sales amount, and productivity to be impact on the leadership type of global enterprises. Therefore, this study concluded that the efficiency and performance of the Company may increase when assigned a leadership professional to be able to consider the nature of the global enterprise. Results of the study, will be expected to be a useful guide for control of business performance at global corporation in the future.

• Journal of Cardiovascular Imaging
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• v.31 no.4
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• pp.191-199
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• 2023

BACKGROUND: Assessment of left ventricular (LV) function plays a pivotal role in the management of patients with valvular heart disease, including those caused by rheumatic heart disease. Noninvasive LV pressure-strain loop analysis is emerging as a new echocardiographic method to evaluate global LV systolic function, integrating longitudinal strain by speckle-tracking analysis and noninvasively measured blood pressure to estimate myocardial work. The aim of this study was to characterize global LV myocardial work efficiency in patients with severe rheumatic mitral stenosis (MS) with preserved ejection fraction (EF). METHODS: We retrospectively included adult patients with severe rheumatic MS with preserved EF (> 50%) and sinus rhythm. Healthy individuals without structural heart disease were included as a control group. Global LV myocardial work efficiency was estimated with a proprietary algorithm from speckle-tracking strain analyses, as well as noninvasive blood pressure measurements. RESULTS: A total of 45 individuals with isolated severe rheumatic MS with sinus rhythm and 45 healthy individuals were included. In healthy individuals without structural heart disease, the mean global LV myocardial work efficiency was 96% (standard deviation [SD], 2), Compared with healthy individuals, median global LV myocardial work efficiency was significantly worse in MS patients (89%; SD, 4; p < 0.001) although the LVEF was similar. CONCLUSIONS: Individuals with isolated severe rheumatic MS and preserved EF, had global LV myocardial work efficiencies lower than normal controls.

• Management & Information Systems Review
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• v.34 no.1
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• pp.191-209
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• 2015

Electronic word-of-mouth (eWOM) in social media has been recognized as one of the most influential marketing tools across various businesses. Understanding eWOM in social media is critical to reach potential global consumers easily and quickly in the hospitality industry. However, few empirical studies in hospitality attempted to evaluate the effectiveness of eWOM in social media from a global perspective. Given the competitive climate of the hospitality market, it is meaningful for hospitality marketers to evaluate the effectiveness of eWOM in social media and the influence of cultural factors to promote customers and increase profitability globally. The main purpose of this study was to examine the influence of cultural values on social media eWOM in the hospitality industry in China, Korea, and the USA. The result of this study indicates Chinese and American people engage more than Korean people when they try to purchase hospitality product and service This study particularly provided a cross-cultural study of comparison among these countries and the findings of this study are expected to provide important practical assistance for global marketing strategies in social media.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.35-48
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• 2018

Recently, We will analyzed the effects of supply chain management(SCM) execution factors on the competitive advantage, focusing on display industry, which is the most intense sectors in global competition. It is important for global companies to secure corporate agility to actively respond to rapid changes in the market. This study examines whether business agility influences competitive advantage and plays a mediating role between performance and competitive advantage considering market situation.. As a result, it was analyzed that three variables of strategic factors such as strategic partnership, information sharing, and information technology have statistically significant effects on firm agility and competitive advantage. Also, it is proved that corporate agility is mediating effect on SCM execution factor and competitive advantage. This study suggests that SCM in global manufacturing industry is a Business Management System(MIS) that must be operated in enterprise management.

• Journal of Advanced Navigation Technology
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• v.20 no.1
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• pp.37-44
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• 2016

Republic of Korea has established its performance-based navigation (PBN) implementation plan in 2010 for ensuring a smooth transition to PBN operations and relevant new flight procedures are being developed in accordance with the roadmap. Various Navigation aids (NAVAIDs) like global navigation satellite systems (GNSS), distance measuring equipment (DME), VHF omnidirectional range (VOR), inertial navigation system (INS) are used to support PBN procedures. Among them, GNSS would play a central role in PBN implementation. However, vulnerability of satellite navigation signals to artificial and natural interferences has been discovered and various alternative positioning, navigation and timing (APNT) technologies are under development in many countries. In this paper, we study whether continuous PBN operations can be achievable without GNSS signals. As a result, it shows that some of the domestic airports require the construction of APNT in the approach area.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.83-94
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• 2016

Energy use has been recognized worldwide as a main cause of global warming and it is at the center of climate change. In this study, problems and measures of zero-energy building construction are investigated and analyzed. Based on the results, evaluation criteria of the zero-energy building are suggested. Performance related factors(Q) representing the environmental grade were divided into three categories as outdoor, indoor environment and maintenance. Energy related factors(LR) representing the energy load were divided into an energy, materials & resources, water cycle management, land use and transportation. Detailed fifty three items are listed for the evaluation under the consideration of energy, water cycle management sections gave weight. Upon receiving the first in the environment friendly certification system, Seoul Central Post Office and Seoul Metropolitan Water Supply Center evaluated. The reason why this score difference is due to lack of use of new generation energy building construction is required expensive costs so need expansion of governmental support. This effort is successful zero energy building construction and copes with global warming and climate change.

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.122-129
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• 2009

Strategic planning is an essential function of senior management in any business firm. Planning involves the firm's behavior in an competitive market and adaptation of the company's resources towards the selected market strategy. This study presents a methodological procedure for strategic planning in global top-tier construction firms. This procedure consists of the following stages. First, analyzed growth of revenue in which weight of total construction firms' revenue shown in Global Top 225 Contractors(ENR). Second, analyzed specialty of construction products. The products are General Building, Power, Water Supply, Industrial/Petroleum Process, and Transportation. Third, analyzed business the portfolio plan. The business portfolio plan includes both local/overseas market and specification/diversification of construction products. It affects the subsequent choice of a benchmarking for development of each construction company. The choice of the benchmarking firm, among several available alternatives, should follow a careful analysis of the characteristics and benefits inherent in the implementation of each.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.92-98
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• 2017

Data clustering determines a group of patterns using similarity measure in a dataset and is one of the most important and difficult technique in data mining. Clustering can be formally considered as a particular kind of NP-hard grouping problem. K-means algorithm which is popular and efficient, is sensitive for initialization and has the possibility to be stuck in local optimum because of hill climbing clustering method. This method is also not computationally feasible in practice, especially for large datasets and large number of clusters. Therefore, we need a robust and efficient clustering algorithm to find the global optimum (not local optimum) especially when much data is collected from many IoT (Internet of Things) devices in these days. The objective of this paper is to propose new Hybrid Simulated Annealing (HSA) which is combined simulated annealing with K-means for non-hierarchical clustering of big data. Simulated annealing (SA) is useful for diversified search in large search space and K-means is useful for converged search in predetermined search space. Our proposed method can balance the intensification and diversification to find the global optimal solution in big data clustering. The performance of HSA is validated using Iris, Wine, Glass, and Vowel UCI machine learning repository datasets comparing to previous studies by experiment and analysis. Our proposed KSAK (K-means+SA+K-means) and SAK (SA+K-means) are better than KSA(K-means+SA), SA, and K-means in our simulations. Our method has significantly improved accuracy and efficiency to find the global optimal data clustering solution for complex, real time, and costly data mining process.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.185-185
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• 2023

Agricultural water demand is considered as the major sector of water withdrawal due to irrigation. The majority part of the global agricultural field depends on various irrigation techniques. Therefore, a timely and sufficient supply of water is the most important requirement for agriculture. Irrigation is implemented in different ways in various land surface models, it can be modeled empirically based on observed irrigation rates or by calculating water supply and demand. Certain models can also calculate the irrigation demand as per the soil water deficit. In these implementations, irrigation is typically applied uniformly over the irrigated land regardless of crop types or irrigation techniques. Whereas, the latest version of Community Land Model (CLM) in the Community Terrestrial Systems Model (CTSM) uses a global distribution map of irrigation with 64 crop functional types (CFTs) to simulate the irrigation water demand. It can estimate irrigation water withdrawal from different sources and the amount or the areas irrigated with different irrigation techniques. Hence, we set up the model for the simulation period of 16 years from 2000 to 2015 to analyze the global irrigation demand at a spatial resolution of 1.9° × 2.5°. The simulated irrigation water demand is evaluated with the available observation data from FAO AQUASTAT database at the country scale. With the evaluated model, this study aims to suggest new sustainable scenarios for the ratios of irrigation water withdrawal, high depending on the withdrawal sources e.g. surface water and groundwater. With such scenarios, the CFT maps are considered as the determining factor for selecting the areas where the crop pattern can be altered for a sustainable irrigation water management depending on the available withdrawal sources. Overall, our study demonstrate that the scenarios for the future sustainable water resources management in terms of irrigation water withdrawal from the both the surface water and groundwater sources may overcome the excessive stress on exploiting the groundwater in major river basins globally.

• Journal of Internet Computing and Services
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• v.6 no.2
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• pp.141-152
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• 2005

Many organizations have been recognizing the necessity of workflow automation technologies according to the rapid expansion of business process oriented applications, such as enterprise resource pianning, customer relationship management, electronic approval management, and so on, Thus, they have started adopting workflow management systems as an essential technological solution for their workflow processes, However, we need some technological extensions and improvements on them in order to accommodate a new type of workflow processes, which is called cross-organizational global workflow processes that require a certain level of collaborations between the organizations engaged in the global workflow processes, Fragment-driven workflow modeling methodology is a Bottom-Up methodology composing a global workflow by defining each organization's own activities, which is called a fragment through a realtime cooperative system. The approach is able to not only simplify the modeling work but also keep each organization's independence in modeling a global workflow, In this paper, we describe the fragment-driven workflow modeling methodology and realize the methodology through the implementation of a cooperative swimlane workflow modeling system.