• Title/Summary/Keyword: 가치기반이론

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Integral Thinking in Music Therapy (음악치료에서의 통합적 사고)

  • Lee, Jin Hyung
    • Journal of Music and Human Behavior
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    • v.12 no.1
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    • pp.65-94
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    • 2015
  • The number of theoretical orientations and approaches in music therapy has risen sharply. This development of new theories may contribute to the advancement of specific therapeutic techniques; however, it can also lead to increased confusion for consumers and professionals for clinical and practical reasons. Due to these concerns, therapists often debate questions such as the following: what is the most effective therapeutic approach, what is the most ethical and professional course of action when clients do not appear to benefit from therapy, and is it possible to integrate ideas and techniques from multiple frameworks and theories in order to better serve the client? This paper describes a new way of thinking for music therapists called Integral Thinking in Music Therapy (ITMT), proposed by Kenneth Bruscia as a comprehensive approach to addressing the clinical needs of the client. ITMT is a way of thinking that embraces existing models and theories, suggests when a particular approach is indicated with its own value, and helps us to move away from one-way thinking to a more comprehensive approach in order to better serve our clients. This article illustrates the basic premise and clinical application as well as a hypothetical application of ITMT based on an actual case study.

Analysis of HYBE Insight's BTS Exhibition Content from the New Museology Perspective (뉴 뮤지올로지 관점의 하이브 인사이트 방탄소년단(BTS) 전시 콘텐츠 분석)

  • Kim, Su-Mi
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.193-202
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    • 2021
  • HYBE Insight, opened in May 2021, is an exhibition space that visually displays and re-interprets the BTS Universe and its content. The space echoes the identity of BTS as an artist and the specificity of the cultural phenomenon they have generated. This study analyzes HYBE Insight's BTS exhibition by applying new museological theories and discourses. Based on a qualitative research methodology including literature review and observational method, the primary themes of the exhibition are follows: 1) a contextualized exhibition content presenting the identity of BTS and their music, 2) the role of the fandom Army's participation in (re) producing BTS content related to the characteristic of popular music museums, 3) the elements of convergence art and its contemporary implication, 4) and the illumination of cultural value in popular music museum management. As the pivotal theory of new museology suggests, investigating a specific exhibition based on each context it has created is significant. However, those studies, including exhibitions related to popular music/artists, were mostly developed in Western nations. In this respect, HYBE Insight's BTS exhibition provides considerable room to explore. In addition to the recent research on BTS, such as their convergent artistry, socio-cultural influence, the role of Army, and the characteristics of HYBE's content management, this article aims to contribute to the multifaceted research by scrutinizing the BTS exhibition content from the new museology perspective.

The Role of Digital Knowledge Richness in Green Technology Adoption: A Digital Option Theory Perspective (그린기술 채택에의 디지털 지식풍부성의 역할: 디지털 옵션 이론 관점에서)

  • Yoo, Hosun;Lee, Namyeon;Kwon, Ohbyung
    • The Journal of Information Systems
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    • v.24 no.2
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    • pp.23-52
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    • 2015
  • Purpose This study aims to understand the role of digital knowledge in accepting the green technology. This study combined digital option theory with the second version of the Unified Theory of Acceptance and Use of Technology (UTAUT2). Contrary to other studies in which the UTAUT2 is used to explain IT adoption behavior, we look at the relationship between IT and the UTAUT2 from a new angle, incorporating an important aspect of IT, that is, digitized knowledge richness, as a determinant of the UTAUT2. Design/methodology/approach Grounded in the UTAUT2, a content analysis was conducted to investigate novel constructs dedicated to explaining green technology adoption. In this study, an amended version of the UTAUT2 specific to green technology is offered that better explains the green technology adoption behavior of consumers. Using the items identified by content analysis, we developed a questionnaire with 36 survey items. We measured all the items on a seven-point Likert-type scale. We randomly selected 402 survey respondents from a set of panel data. After a pilot study, we analyzed the main survey data by using PLS 2.0M3 and SPSS 20.0, and employed structural equation modeling to test the hypotheses. Findings The results suggest that the UTAUT2 was found to be extendable to technologies other than conventional IT. Social influence is more significant than conventional utilitarian and hedonic-based constructs such as those utilized in the UTAUT and UTAUT2 in explaining adoption behavior in the context of green technologies. The hypothesized connection between digitized knowledge richness and adoption intention was supported by the results of studies on the role of IT in formation of attitudes toward eco-friendly production. The results also indicate that digital knowledge can also encourage people to try green technology when they learn that their peers are already using the technology successfully.

The Smartphone User's Dilemma among Personalization, Privacy, and Advertisement Fatigue: An Empirical Examination of Personalized Smartphone Advertisement (스마트폰 이용자의 모바일 광고 수용의사에 영향을 주는 요인: 개인화된 서비스, 개인정보보호, 광고 피로도 사이에서의 딜레마)

  • You, Soeun;Kim, Taeha;Cha, Hoon S.
    • Information Systems Review
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    • v.17 no.2
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    • pp.77-100
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    • 2015
  • This study examined the factors that influence the smartphone user's decision to accept the personalized mobile advertisement. As a theoretical basis, we applied the privacy calculus model (PCM) that illustrates how consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. In particular, we investigated how smartphone users make a risk-benefit assessment under which personalized service as benefit-side factor and information privacy risks as a risk-side factor accompanying their acceptance of advertisements. Further, we extend the current PCM by considering advertisement fatigue as a new factor that may influence the user's acceptance. The research model with five (5) hypotheses was tested using data gathered from 215 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a mobile advertisement service was provided. The results showed that three (3) out of five (5) hypotheses were supported. First, we found that the intention to accept advertisements is positively and significantly influenced by the perceived value of personalization. Second, perceived advertisement fatigue was also found to be a strong predictor of the intention to accept advertisements. However, we did not find any evidence of direct influence of privacy risks. Finally, we found that the significant moderating effect between the perceived value of personalization and advertisement fatigue. This suggests that the firms should provide effective tailored advertisement that can increase the perceived value of personalization to mitigate the negative impacts of advertisement fatigue.

Analysis of Signal Recovery for Compressed Sensing using Deep Learning Technique (딥러닝 기술을 활용한 압축센싱 신호 복원방법 분석)

  • Seong, Jin-Taek
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.4
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    • pp.257-267
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    • 2017
  • Compressed Sensing(CS) deals with linear inverse problems. The theoretical results of CS have had an impact on inference problems and presented amazing research achievements in the related fields including signal processing and information theory. However, in order for CS to be applied in practical environments, there are two significant challenges to be solved. One is to guarantee in real time recovery of CS signals, and the other is that the signals have to be sparse. To this end, the latest researches using deep learning technology have emerged. In this paper, we consider CS problems based on deep learning and discuss the latest research results. And the approaches for CS signal reconstruction using deep learning show superior results in terms of recovery time and performance. It is expected that the approaches for CS reconstruction using deep learning shown in recent studies can not only raise the possibility of utilization of CS, but also be highly exploited in the fields of signal processing and communication areas.

Volatilities in the Won-Dollar Exchange Markets and GARCH Option Valuation (원-달러 변동성 및 옵션 모형의 설명력에 대한 고찰)

  • Han, Sang-Il
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.369-378
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    • 2013
  • The Korean Won-Dollar exchange markets showed radical price movements in the late 1990s and 2008. Therefore it provides good sources for studying volatility phenomena. Using the GARCH option models, I analysed how the prices of foreign exchange options react volatilities in the foreign exchange spot prices. For this I compared the explanatory power of three option models(Black and Scholes, Duan, Heston and Nandi), using the Won-Dollar OTC option markets data from 2006 to 2013. I estimated the parameters using MLE and calculated the mean square pricing errors. According to the my empirical studies, the pricing errors of Duan, Black and Scholes models are 0.1%. And the pricing errors of the Heston and Nandi model is greatest among the three models. So I would like to recommend using Duan or Black and Scholes model for hedging the foreign exchange risks. Finally, the historical average of spot volatilities is about 14%, so trading the options around 5% may lead to serious losses to sellers.

A Study on the digital architectural design technical type by non-linear space design (비선형 공간구성의 특징에 기초한 디지털 건축디자인의 기술적 유형 연구)

  • 김석태
    • Archives of design research
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    • v.16 no.2
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    • pp.171-178
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    • 2003
  • The visual, sensible and social situation that the modern digital technologies create became the background for the works of architects in extreme modernism and their space modeling suggested another possibility that was emancipated from the restriction of a property of matter and gravity in the existing space. The architecture design process using the digital technology has been attempted in diverse ways and summarized with several characteristics such as displacement, nonlinear space, flexibility of space and non-Euclidean geometry system. However, the conceptual and very technical design process that is called as digital architecture has been indiscriminately used with mixed meanings and the common features and differences between works and theories are not studied. This study aims to classify and identify the digital architecture by type as analyzing the non-linear composition process that is common in the digital architecture.

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Study of Clock Design Applied to DFX Methodology of Green Design (그린 디자인의 DFX법을 도입한 시계 디자인 연구)

  • Qing, Yan;Koh, Kyeong-Uk
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.690-699
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    • 2011
  • Green Design is mostly discussed in the field of industry design on the concept basis, while less attention to environmental issues have been paid by neither designer nor manufacturer, which thereby adds to the necessity of the study on Green Design methods and process to a great extent. This article through the classification and analysis of DFX, researches on which kinds of designs in the Clock products market are invested with green design concept as piloted by the principle of DFMs, DFR, DFA and DFD. DFX means design for excellence, and also "design for X", where X is a variable with many values. Under the label Design for X, a wide collection of specific design guidelines are summarized. This article conducts DFX principle assessments on Clock by selecting 30 products of Clock market varieties as the samples, and conducts the field design practices centering on those materials of the least conformity with green design tenet amidst the Framework assessment results. In the course of field practices, DFMs principle is introduced, and embodies the significance of DFX method guidance by virtue of the ultimate results of conceptual designs conducted in the guidance of theoretical basis.

Influence of Economic Value and Information Quality on Repurchase Intention in Social Commerce based on Motivation Theory (소셜커머스의 경제적 가치와 정보품질이 재구매의도에 미치는 영향 : 동기이론을 기반으로)

  • Kang, Ju-Hee;Moon, Tae-Soo
    • The Journal of Information Systems
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    • v.26 no.2
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    • pp.63-83
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    • 2017
  • Purpose: In Korea, market size of social commerce has been increased steadily and highly, but profits of social commerce companies have been decreased because of excessive marketing cost. To overcome this stagnant market environment, new marketing strategy that could attract customers and make customers continue to use social commerce is required instead of cost consuming marketing strategy. The purpose of this study is to investigate the relationship among characteristics of social commerce - that is, economic value and information quality - usefulness, enjoyment, satisfaction and repurchase intention by applying motivation theory to the area of social commerce. Design/Methodology/Approach: Previous researches have been studied by applying Expectation-Confirmation Model (ECM), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) Model, although there are many studies related with customer acceptance model in the field of e-commerce. However, there is not so many studies in applying motivation theory. So this study adopts new approach to examine why customers use social commerce based on motivation theory. Thus, this study adopts economic value and information quality as antecedents, and then customers will perceive extrinsic and intrinsic motivation; usefulness is extrinsic and enjoyment is intrinsic, and adopts satisfaction and repurchase intention as a dependent variable. The data of questionnaire were collected from customers who have experience to buy something in social commerce. 228 questionnaires as data unit of individual level were collected using random sampling. Findings: This study proved empirically that the relationship between antecedents and motivation factors has a positive influence, and motivation factors also have a positive influence on repurchase intention through satisfaction. This study provides the managers an insight that social commerce companies should pay more attention to improve customer satisfaction in order to increase higher performance in repurchase intention of social commerce.

Empirical study of impression formation factors in 3D cyber space : Analysis focused on Second Life (3D 가상공간에서의 인상 형성에 관한 실증적 연구 : 세컨드 라이프를 중심으로 인상 형성 요인 분석)

  • Kim, Hee-Sun;Lee, Jae-Hee;Jang, Su-Jin;Park, Su-E
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.513-520
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    • 2008
  • Today, 3D cyber space with advancements of Web 3D technique is changing into a social space. As such, the users want to make social relationships, the impression that one leaves in 3D cyber space has become more important. This study will be confirm a relationship between interpersonal relations and impression and show some impression formation factors in 3D cyber space. As this study analyzes the characteristic elements of 3D cyber space which are differentiated with other platform, it has theoretical value to support theory about personal relationship in3D cyber spaces. Then it will be a supporting theory for next study about intercultural and social phenomena in changeable 3D cyber space as advancement of technique. We will find out the causal relationship between impression dimensions and formative factors in next study.

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