• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.532-540
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• 2017

This study analyzes and compares the meaning and the value of storytelling with characteristics of the Playback Theatre, which is an improvisational play. On one side, the Playback Theatre, invented by Jonathan Fox in 1975, is an improvisational and communication-based theatre format; and it usually brings in the storytelling of audiences and often entails no play script. On the other side, storytelling requires imagination and creativity; presupposes the sympathy between the speaker and the listener. In fact, this theatre format is utilizing the educational and healing effects of verbal cultures, group sacrificial ceremonies, and/or psychodrama; and it is contextualizing them in our modern society. The Playback Theatre provides the audiences with opportunities to share their own stories within the play itself. The actors first listen to the stories of audiences; and then make them into a play impromptu, right in front of the speaker(s) and other audiences. For this very reason, it is called a "play-back". In this process, the individuals and the community are invited to experience the educational and healing effects.

• International Journal of Contents
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• v.15 no.4
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• pp.107-112
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• 2019

With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

• Proceedings of the Safety Management and Science Conference
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• 2002.11a
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• pp.17-23
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• 2002

Value can be defined as function divided by cost. The ultimate goal of VE (Value Engineering) is to simultaneously reduce cost and to enhance function in given projects. In general, there are eight phases (Selection, Investigation, Speculation, Evaluation, Development. Presentation, Implementation, and Audit) to perform VE. This paper presents analysis of important factors for VE in construction fields using QFD (Quality Function Deployment) technique. QFD was introduced in 1972 to help design supertanker in Mitsubish's shipyards in Kob, Japan and formally defined by the American Supplier Institute in 1987 as a system for translating consumer requirements into appropriate company requirements at every stage, from research, through product design and development, to manufacture, distribution, installation, and marketing, sales and services. The objective of this paper is to provide and analyze the trend on the viewpoint of efficient value engineering of field workers. The data are collected by questionnaires. The samples for this study are chosen from 13 companies in Korea during 2 months (2002. 7 ∼ 2002. 8). The results of this study will play an important role not only for the efficient value engineering but also for preparing of life cycle cost analysis.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.357-365
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• 2024

The purpose of this study is to investigate the effects of children's robot-based play on sequential thinking through appreciation of picture books. For this purpose, 15 children aged 5 years old in each kindergarten located in Seoul were selected and J kindergarten (experimental group) supported <Picture book appreciation robot play> and C kindergarten (comparison group) supported <Picture book appreciation free play>. In order to examine the difference in play experience between the two groups, the score data before and after play support was collected using the sequential thinking test tool, and the collected data were analyzed using SPSS 28.0 program to perform ANCOVA (Covariance Analysis). As a result, the experimental group that experienced robot-based play through picture book appreciation showed significant improvement in the total score of sequential thinking and the sub-areas of dynamics, behavior, and intention compared to the control group.The results of this study are valuable as a play study to discover the value of robots as a creative play medium led by young children and to promote sequential thinking ability, which is emphasized as the capacity of future society.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.141-157
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• 2024

This study examines the impact of cryptocurrency value characteristics on cryptocurrency investment intention. Stock craze and information provided through various media, including YouTube, play an essential role in helping investors recognize the value of cryptocurrency and develop positive investment intentions. In this study, we applied the Value-Based Adoption Model (VAM) to verify the relationship between cryptocurrency value characteristics and investment intention. We surveyed 500 cryptocurrency investors to assess network externalities, awareness, compatibility, cost benefits (fees), technicality, security, perceived value, and investment intentions. SEM (Structural Equation Modeling) using AMOS 26.0 was used for data analysis. Results show that network externalities, awareness, compatibility, cost benefits (fees), security, and perceived value significantly impact investment intention. This study provides insights that help investors accurately perceive cryptocurrencies and develop strategies to increase investment intentions. It also contributes to improving investors' decision-making ability. This comprehensive approach will foster the growth of the cryptocurrency market and strengthen investor confidence.

• Korea Trade Review
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• v.44 no.5
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• pp.107-125
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• 2019

This study analyzes the effects of FDI on the global value chain (GVC) using participation and export value added using panel data from 2005 to 2016 for 63 countries. This study used the GLS method. Results are as follows: First, foreign direct investment had a positive impact on the global value chain (GVC) participation and export value added of non-OECD economies. Furthermore, tariff rates were more sensitive to non-OECD countries than OECD countries. In addition, logistics infrastructure had a negative impact on global value chain (GVC) participation and export value added, while developed countries, such as OECD countries, with good infrastructure, had a positive impact on non-OECD countries. Finally, research and development costs have been shown to play a very important role in non-OECD countries. This study found that various service sectors, such as research and development (R & D) as well as the general manufacturing industry, are expanding beyond two countries to form global value chains (GVC) in which several countries are connected from production to consumption.

• Journal of IKEEE
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• v.23 no.4
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• pp.1187-1194
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• 2019

This paper proposes a CNN architecture as value function network of an artificial intelligence Othello game agent and its learning scheme using reinforcement learning algorithm. We propose an approach to construct the value function network by using CNN to learn the records of professional players' real game and an approach to enhance the network parameter by learning from self-play using reinforcement learning algorithm. The performance of value function network CNN was compared with existing ANN by letting two agents using each network to play games each other. As a result, the winning rate of the CNN agent was 69.7% and 72.1% as black and white, respectively. In addition, as a result of applying the reinforcement learning, the performance of the agent was improved by showing 100% and 78% winning rate, respectively, compared with the network-based agent without the reinforcement learning.

• Journal of Fashion Business
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• v.7 no.1
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• pp.84-100
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• 2003

The purpose of this study is to analyze the meanings of signs represented in contemporary fashion based on the Peirce's trisection theory in order to present various types of sign representation that satisfies aesthetic value and characteristics of the age of information and image. Types of signs represented in contemporary fashion can be summarized into letters, numbers, codes, pictures, logos, characters and emblems. The meanings of signs were analyzed based on the Peirce's trisection theory, resulting in representation of play, brandsymbol, eroticism and suggestion. The play was categorized into infantile and parodic. The former inspires unexpected interest and laughter from contemporary people in the age of disorder through humorous characters, cartoons and illustrations. The latter inspires laughter by parodying things and it's intention is to release the isolation of people and their relative poverty through pictures for which techniques of parody and surrealism were used. Most of the brandsymbols represented by logos, used for textile and clothing design as well as accessories are optimal signs that construct brand images. Eroticism means emotion, impulses, senses of value and sexual attraction. A desire to represent sexual attraction is an expression of eroticism and self-expression to adjust in a changing society. Suggestion tends to pursue the image of harmony with nature in a world which is pressed by material civilization. Humans represent illuminating messages through direct slogans by characters, natural objects and motives of social phenomenon in pursuit of the benefits of abundant material civilization in the structure of a highly advanced scientific civilization and industrial society.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.558-565
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• 2009

In recent years, the demand for green buildings is growing fast due to legislative and social pressures. Construction organizations, which play an important role in promoting building industry growth, are facing with challenges on how to adapt themselves to enhance sustainability of the buildings. In this paper, the green value chain and system frameworks, an extend application of Porter's value chain and system models, are introduced. Based on deep analysis of the green value chain and system frameworks, a revolution model for construction organizations towards green building is created. Management factors critical for a successful green building project, at the firm and project organization level, are extracted. Furthermore, external critical relationships are also identified. Fully understanding of these management factors and the model can help and enable practitioner to know what new capabilities should be deployed and developed in the long run for maximizing sustainability.