• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.683-693
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• 2021

Shipping has become an important sector in supporting social, economic, government, defense, security, cultural and other sectors to unite separate islands and broad seas. Thus, ports automatically become an important facility in Indonesia. The purpose of this research is to test and explain the effect of Organizational readiness for change, Service Innovation, and Corporate Image on Perceived opportunity and challenge. The research model with inferential analysis uses Structural Equation Modeling (SEM) analysis with the WarpPLS approach, expected to answer the statements of problem and be able to test the desired hypothesis. The model development in this research was based on the background, statements of problem, conceptual framework and research hypotheses. The model referred to is "Complete and Comprehensive Port." Its development was carried out through studying and synthesizing various sources. The most important source is the results of literature review in the form of theoretical developments and research results, then continued with compilation. The use of Organizational Change Readiness, Service Innovation, and Corporate Image in improving Port Competitiveness is seen as one of the novelties of this research, specifically the use of the Organizational Change Readiness variable which is often used in high-flexibility companies but now used in port companies as well.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.859-869
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• 2011

Interest has increased in academic research regarding key factors that drive box-office success as well as the ability to predict the box-office success of a movie from a commercial perspective. This study analyzed the relationship between key success factors of a movie and box office records based on movies released in 2010 in Korea. At the pre-production investment decision-making stage, the movie genre, motion picture rating, director power, and actor power were statistically significant. At the stage of distribution decision-making process after movie production, among other factors, the influence of star actors, number of screens, power of distributors, and social media turned out to be statistically significant. We verified movie success factors through the application of a Multinomial Logit Model that used the concept of choice probabilities. The Multinomial Logit Model resulted in a higher level of accuracy in predicting box-office success compared to the Artificial Neural Network and Discriminant Analysis.

• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.5-18
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• 2021

Purpose: This study aimed to develop a client-centered integrated home nursing care model for rural areas by analyzing public health nursing, hospital-based home care services, and long-term nursing care in Korea. Methods: The literature review performed included data from the National Assembly Library, DBpia, RISS, and KISS, Google Scholar, the Ministry of Government Legislation, Statistics Korea, and the Ministry of Health and Welfare. Results: The client-centered and integrated home nursing care model in a rural area was opened as the Home Nursing Care Center in a public health center operating directly or on consignment. This model provides both a hospital-based home care services as well as long-term care, in accordance with the health status of the client and difficulty of nursing services. Moreover, the nurse who worked in a sub-organization (Centers for Supporting Healthy Living, Public Health Units, and etc.) of the public health center as care coordinator and case manager facilitates to connect home nursing care services and social welfare services. Conclusions: Our data indicates that the client-centered integrated home nursing care model in rural areas effectively combines professional services, regional accessibility, and social welfare services.

• Geomechanics and Engineering
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• v.36 no.3
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• pp.259-276
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• 2024

The undrained shear strength is widely acknowledged as a fundamental mechanical property of soil and is considered a critical engineering parameter. In recent years, researchers have employed various methodologies to evaluate the shear strength of soil under undrained conditions. These methods encompass both numerical analyses and empirical techniques, such as the cone penetration test (CPT), to gain insights into the properties and behavior of soil. However, several of these methods rely on correlation assumptions, which can lead to inconsistent accuracy and precision. The study involved the development of innovative methods using extreme gradient boosting (XGB) to predict the pile set-up component "A" based on two distinct data sets. The first data set includes average modified cone point bearing capacity (q_t), average wall friction (f_s), and effective vertical stress (σ_vo), while the second data set comprises plasticity index (PI), soil undrained shear cohesion (S_u), and the over consolidation ratio (OCR). These data sets were utilized to develop XGBoost-based methods for predicting the pile set-up component "A". To optimize the internal hyperparameters of the XGBoost model, four optimization algorithms were employed: Particle Swarm Optimization (PSO), Social Spider Optimization (SSO), Arithmetic Optimization Algorithm (AOA), and Sine Cosine Optimization Algorithm (SCOA). The results from the first data set indicate that the XGBoost model optimized using the Arithmetic Optimization Algorithm (XGB - AOA) achieved the highest accuracy, with R2 values of 0.9962 for the training part and 0.9807 for the testing part. The performance of the developed models was further evaluated using the RMSE, MAE, and VAF indices. The results revealed that the XGBoost model optimized using XGBoost - AOA outperformed other models in terms of accuracy, with RMSE, MAE, and VAF values of 0.0078, 0.0015, and 99.6189 for the training part and 0.0141, 0.0112, and 98.0394 for the testing part, respectively. These findings suggest that XGBoost - AOA is the most accurate model for predicting the pile set-up component.

• Journal of Global Scholars of Marketing Science
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• v.7
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• pp.167-179
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• 2001

In Internet age, traditional transaction concepts are being examined in new perspectives. Electronic commerce, as a new transaction paradigm, is being paid attention to reexamine traditional marketing theories. In this study, equity is adapted to electronic commerce. We add Navigational Equity to existing equity concept: Payment and Service (Huppertz et al 1978). The research model of this study consisted of three major constructs such as equity, normative comparison of equity and consumer satisfaction in electronic commerce. Additionally, the environments of Internet navigation, which include system quality, easy for use, social pressure, playful aspects, and security check, etc. were analyzed. The propositions were drawn from the research model of this study. These propositions will be used to generate hypotheses constructing simultaneous equation model. More empirical study of future is expected.

• Journal of Korea Multimedia Society
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• v.9 no.12
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• pp.1657-1668
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• 2006

The last few years have represented a boom for the online gaming industry. Internet-based online games have been an increasingly popular form of entertainment. The gaming industry estimates there will be over 26 million online gaming participants in 2002. The rapid development of online game content and related information technology will increase the size of the industry and have a profound impact on many aspects of our lives and our society. This paper develops the exploratory LISREL model for identifying the factors affecting the players' loyalty to a specific brand of online game. The concepts of flow, word of mouth, feedback, challenge, social norms, and online community activities, etc, are all introduced into the model, as the independent variables directly and indirectly affecting loyalty. Based on data collected from an online survey, the validity of the model has been tested and interesting conclusions have been developed concerning the relationships between loyalty and flow, word of mouth, and other independent variables. It is hoped that this result might provide useful guidelines for developing successful online game content.

• Journal of Korean Society of Transportation
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• v.8 no.1
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• pp.73-88
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• 1990

This study aims to develop a traffic accident forecasting model using the data, which are based on the past accidents in Korea. The regression analysis was used in conjuction with the variables of the traffic accidents and social behaviours. The objectives of this study are as follows; 1. The number of behicles has given a strong affect to increase the traffic accidents in Korea since a factor of vehicles has shown 86% over of total accidents. 2. The forecasting model regarding the traffic accidents, deaths and injuries, which was formulated for this study, proved to be useful in light of the results of the regression diagnostics. 3. It is expected that the traffic accidents in Korea in 1991 may take place as follows on condition that the traffic environment would worsen ; 274,000 cases of accidents with 13,600 deaths and 367,000 injuries, in 1994, 451,000 cases with 24,900 deaths and 71,500 injuries respectively.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.121-144
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• 2003

This thesis has a research focus in effectively Practicing cooperative instruction where teacher-librarians play a role. The cooperative Instruction means to practice cooperatively with the subject teachers and teacher-librarians, in teaching subject matters(Korean, English, Social studies. Science, History, and so forth), using the school library. This thesis presents three steps by theory-model-support for a practice method through developing a cooperative instruction model. This is based on curriculum which is an axis of school education and an instructional design theory which is a base theory for subject matters.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.51-59
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• 2011

The objective of this paper is to identify factors influencing intention to use ubiquitous banking service focusing on potential users using a regression model. Through this, providers of ubiquitous banking services can get an idea of future development, including marketing strategy through the results of this analysis. This paper proposes that perceived usefulness is the most important factor influencing the uptake of ubiquitous service. Also in addition, ANOVA test shows that higher education level of the user can lead to the higher intention to use an ubiquitous banking service. In this study, we set up a model by using the most basic factor among influential factors presented in previous studies as an independent variable. However, other research variables which affect acceptance of ubiquitous service should be considered by thinking more diversely.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.49-60
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• 2009

The aim of this study was to develop a model for teaching-teaming by applying Ubiquitous at a learning experience field, in which connect characteristics of both ubiquitous application learning and experience teaming, making use of them. A literature survey of concepts was conducted, with the main areas to find out relationships between ubiquitous application learning and experience learning. Experience learning by applying ubiquitous learning methods maximizes its efficiency of experience learning in considering ubiquitous learning methods's characteristics of dynamic, interaction, sharing. Also it makes communications through positive participation and active interaction, and leads to a process of internal examination. The research data suggests that critical factors of experiencing learning applying ubiquitous are acquiring information and memory, information integration and exquisiteness, emotional and social activity, producing activity, help activity.