• Title/Summary/Keyword: Media context

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Effects of Marketing Communication Capabilities on the link between Corporate Social Responsibility on Firm Value: Observations from the Service Industry

  • Kim, YongHee
    • Asia Marketing Journal
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    • v.20 no.1
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    • pp.1-21
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    • 2018
  • An increasing number of studies have examined the effects of corporate social responsibility (CSR) activities on corporate financial performance (CFP) in the service industry. However, the extant literature does not provide comprehensive insights into the conditions on which the CSR-CFP link relies. In this study, firms' marketing communication capability (MCC) is introduced as an important contingency variable, which determines the effects of CSR on the corporate financial performance, in the context of restaurant businesses. Multiple year data on the spending of public restaurant chains on different media are collected, and MCC is subsequently measured using the data envelope analysis. Then, a test is conducted to prove whether MCC moderates the relationship between CSR and firm financial performance. The empirical results support the hypothesis that MCC strengthens the effect of CSR on CFP. Through the findings, this research provides several interesting and important implications to the literature and managers of service firms.

A TabNet - Based System for Water Quality Prediction in Aquaculture

  • Nguyen, Trong–Nghia;Kim, Soo Hyung;Do, Nhu-Tai;Hong, Thai-Thi Ngoc;Yang, Hyung Jeong;Lee, Guee Sang
    • Smart Media Journal
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    • v.11 no.2
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    • pp.39-52
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    • 2022
  • In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

Radiative Transfer in Highly Thick Media through Rayleigh and Raman Scattering with Atomic Hydrogen

  • Chang, Seok-Jun
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.40.1-40.1
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    • 2021
  • Hydrogen is the most abundant element in the universe, which is, in the cosmological context, attributed to its simplest structure consisting of a proton and an electron. Hydrogen interacts with an electromagnetic wave in astrophysical environments. Rayleigh scattering refers to elastic scattering, where the frequencies of the incident and scattered photons are the same. Rayleigh and resonance scattering is a critical role study Lyman Alpha objects in the early universe. The scattering causes the frequency and spatial diffusion of Lyα. In the case of Raman scattering, the energies of the incident and scattered photons are different. The photons near Lyβ convert to the optical photons near Hα through Raman scattering. The photon scattered by atomic hydrogen can carry both of the properties of the H I region and the emission region. I adopt a Monte Carlo approach to investigate the formation of the various spectral line features through Rayleigh and Raman scattering in highly thick media of atomic hydrogen. In this thesis, I present my works on radiative transfer involving the scattering processes between far UV photon and atomic hydrogen. I introduce scattering processes with atomic hydrogen and the spectral, spatial, and polarized information originating from the scattering.

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Educational Use of IPTV: Issues and Future Directions

  • LEEM, Junghoon;HAN, Seungyeon;KIM, Seri
    • Educational Technology International
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    • v.10 no.2
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    • pp.85-105
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    • 2009
  • National support for use of IPTV in school has increased for the purpose of enhancing public education. As a convergence media, IPTV is expected to create a better and more successful learning experience with individualized content and advanced technology. While the potential benefits of IPTV have been discussed in different perspectives, we cannot fully benefit from new media without careful preparation and pedagogical consideration. Therefore, purpose of this study was to investigate educational use and applicability of IPTV in Korea. First, it redefines the concept and characteristics of IPTV in an educational context. Second, it identifies the main issues and considerations in practice. Lastly, the paper discusses guidelines for future tasks to facilitate the educational use of IPTV in terms of educational application, technological issues (e.g., LMS, set-top box), and content development.

Consumer Purchasing Decisions on Sustainable Products in Advertising: The Interplay of Message Appeals and Agency-Communion Orientations

  • Taemin Kim;Jeesun Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.185-192
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    • 2024
  • Both message appeals and individual characteristics can influence the effectiveness of sustainable product promotions. Applying the agency-communion orientation to the advertising message research context, this study examined the interplay between message appeals and agency-communication orientations in impacting purchase intentions. The findings from a 2 (message appeal: self-interest vs. public-interest message) × 2 (motivational orientation: agency vs. communion) experiment revealed a communion-over-agency effect on consumer purchasing decisions for public-interest message appeals. In the self-interest message condition, we found no statistically significant difference in impact between agency and communion on purchase intentions. In short, we contribute to advertising effectiveness research by showing that agency-communion orientations moderate the effect of message appeals. We also explain the practical implications of these findings for effective sustainable communication in advertisements based on individuals' motivational orientations.

Multimedia : Technology Push vs. Customer Pull

  • 정종덕;윤종훈
    • Proceedings of the Korea Association of Information Systems Conference
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    • 1996.11a
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    • pp.110-123
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    • 1996
  • Misunderstanding of multimedia in the computer industry, the confusion of consumers, and the lack of understanding of technology in the human context provide an impetus for examining and speculating on the future of multimedia. "What can a multimedia technology do ?" is not a sufficient question for consumers until we add "for whom." Both how the relevant technology is likely to develop and how human choices would be made are examined with a focus on historical trend in media technology adoption.

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Design of Intelligent Emotion Recognition Model (지능형 감정인식 모델설계)

  • 김이곤;김서영;하종필
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.46-50
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    • 2001
  • Voice is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed in the speech, the gesture, the physiological phenomena (the breath, the beating of the pulse, etc). In this paper, the method to have cognizance of emotion from anyone's voice signals is presented and simulated by using neuro-fuzzy model.

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Context-Based Hierarchical Enumerative Coding for Lossless Bi-level Image Compression (무손실 이진 영상 압축을 위한 컨텍스트 기반 계층적 열거 부호화)

  • 임재혁;정제창
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2000.11b
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    • pp.87-92
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    • 2000
  • 본 논문에서는 컨텍스트 기반 계층적 열거 부호화를 이용한 무손실 이진 영상 압축 알고리즘을 제안한다. 이진 영상내에 존재하는 인접한 화소간의 상호상관성을 이용하여 이진 영상을 1차원의 수열로 재구성하고, 이에 대해 계층적 열거 부호화를 실행한다. 제안하는 알고리즘은 덧셈 및 비교 연산만으로 구현이 가능하므로 그 복잡도가 매우 낮을 뿐만 아니라, CCITT 테스트 영상을 대상으로 한 부호화 성능 실험에서 우수한 성능을 나타낸다. 부호화 성능 비교에서 이진 영상 부호화 국제표준인 JBIG, G3, G4 및 GIF에 비해 우수한 압축 성능을 보인다.

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Design of Intelligent Emotion Recognition Model

  • Kim, Yi-gon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.7
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    • pp.611-614
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    • 2001
  • Voice is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed is expressed in the speech, the gesture, the physiological phenomena(the breath, the beating of the pulse, etc). In this paper, the emotion recognition method model using neuro-fuzzy in order to have cognizance of emotion from voice signal is presented and simulated.

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Multimedia : Technology Push vs. Customer Pull

  • 정종덕;윤종훈
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1996.10a
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    • pp.110-123
    • /
    • 1996
  • Misunderstanding of multimedia in the computer industry , the confusion of consumers, and the lack of understanding of technology in the human context provide an impetus for examining and speculating on the future of multimedia. "What can a multimedia technology do?" is not a sufficient question for consumers until we add " for whom" . Both how the relevant technology is likely to develop and how human choices would be made are examined with a focus on historical trend in media technology adoption.