• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.44-53
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• 2014

This study seeks to analyze vertical integration structure of Korean popular music market focused on corporation concentration and production system by applying production of culture perspective of Peterson, Subject of analysis is Melon weekly music chart(2000-2013), which is No.1 digital music distributor. The result showed vertical integration structure of Korean popular music industry was different from America. Vertical integration of American major was based on open system to be responsible for promotion and distribution by M&A of independent label but entrusted them-with total production to cope-with uncertainty of music market. On the other hand, Korean system was in charge of pure distribution only as digital service provider and it showed modified vertical structure because traditional value chain was destroyed by changing digital music environment. Especially found seriousness of oligopoly by distribution company of conglomerate affiliation. and this is harm against building healthy industry ecosystem in creative economy era and it needs improvement through study of advanced case, open system.

• Journal of KIISE:Software and Applications
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• v.35 no.11
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• pp.692-700
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• 2008

In some previous works on musical genre classification, human experts specify segments of a song for extracting musical features. Although this approach might contribute to performance enhancement, it requires manual intervention and thus can not be easily applied to new incoming songs. To extract musical features without the manual intervention, most of recent researches on music genre classification extract features from a pre-determined part of a song (for example, 30 seconds after initial 30 seconds), which may cause loss of accuracy. In this paper, in order to alleviate the accuracy problem, we propose a new method, which extracts features from representative segments (or main theme part) identified by structure analysis of music piece. The proposed method detects segments with repeated melody in a song and selects representative ones among them by considering their positions and energies. Experimental results show that the proposed method significantly improve the accuracy compared to the approach using a pre-determined part.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.18-27
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• 2006

Rapid increase of the amount of music data demands for a new method that allows efficient similarity retrieval of music genre using audio features in music databases. To build this similarity retrieval, an indexing techniques that support audio features as a time-series pattern and data mining technologies are needed. In this paper, we address the development of a system that retrieves similar genre music based on the indexing techniques. We first propose the structure of content-based music genre retrieval system based on the time-series pattern index file and data mining technologies. In addition, we implement the time-series pattern index file using audio features and present performance analysis of the time-series pattern index file for similar genre retrieval. The experiments are performed on real data to verify the performance of the proposed method.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.336-351
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• 2021

The purpose of this research is to find out the effects of music therapy activities using preferred music on job stress, work engagement and flourishing of reporters in broadcasting company. The study targets 51 reporters in S city, with the experimental group consisting of 20 reporters from A broadcasting company and the control group composed of 31 reporters from A newspaper company. The experimental group voluntarily listened to preferred music at least three times a day for two weeks, while the control group did not perform any activities. For data analysis, the job stress scale, work engagement scale, and flourishing scale scores of each group were collected right before and after the experiment, and the results of the analysis were as follows. First, the experimental group's job stress decreased, and significant score differences were also shown in comparison with the control group. Second, work engagement also increased by a noticeable difference. Third, in the case of flourishing, the after experiment's average value rose slightly, but the difference was not statistically significant. In conclusion, this research offered implications for the need for a music therapy activity program to recover from reporters' job stress circumstances and discussed the need for further research.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.161-170
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• 2023

In this study, based on existing studies on music streaming services and e-services, the selection factors for music streaming platforms were derived, and the AHP technique was implemented to calculate the importance of each factor. As a result of this study, economic feasibility was found to be the most important factor among security, economic feasibility, informativeness, convenience, and responsiveness, which are the first-step selection factors of music streaming platforms. As a result of synthesizing the weights of the first and second factors, reasonable price was found to be the most important factor. Finally, an additional analysis was conducted to determine whether there was a difference in importance between the selection factors of the music streaming platform according to gender and age. Through this study, it will be possible to figure out the factors that consumers consider most important when using a music streaming platform.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.77-88
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• 2024

Purpose: By studying the effects of SNS advertising characteristics and SNS advertising music characteristics conducted by companies on advertising preference and advertising effects, we would like to suggest a plan for effective SNS advertising operation. Research design, data and methodology: In this study, a total of 483 surveys were collected for college student consumers in their 20s who had experience seeing advertisements on SNS, and 458 were used for the final analysis. In addition, the collected questionnaire data were analyzed using statistical programs SPSS 24.0 and AMOS 24.0, and Sobel Test was performed through structural equation modeling and regression analysis. Results: Advertising preference, purchase, and recommendation intentions increased as consumers who saw advertisements on SNS perceived the characteristics of advertisements (information, entertainment, individuality, and interactivity). However, advertising preference was not formed by SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity). In addition, the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions were linked, and the higher the perception of SNS advertising music characteristics (fun, information delivery, unconscious stimulation, and emotional homogeneity), the more advertising effects such as purchase and recommendation intentions could be created. Finally, it was confirmed that advertising preference had a partial mediating effect between SNS advertising characteristics and advertising effects, and between SNS advertising music characteristics and advertising effects. Conclusions: Unlike previous studies that have investigated the causal relationship of advertising effects according to sub-factors such as SNS advertising characteristics and SNS advertising music characteristics, it is significant in that it analyzes the variables used in the study as secondary factors.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.8
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• pp.868-876
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• 2016

MUSIC (multiple signal classification) algorithm is a representative algorithm estimating the angle of arrival using the eigenvalues and eigenvectors. Generally, the eigenvalues and eigenvectors are obtained through the eigen-analysis, but this analysis requires high computational complexity and late convergence time. For this reason, it is almost impossible to construct the real-time system with low-cost using this approach. Even though QR iteration is considered as the eigen-analysis approach to improve these problems, this is inappropriate to apply to the MUSIC algorithm. In this paper, we analyze the problems of conventional method based on the eigenvalues for convergence decision and propose the improved decision algorithm using the eigenvectors.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.265-275
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• 2019

The purpose of this study is to validate scale of deteminants for watching Korean traditional music performances to activate the market by procuring and increasing Korean traditional music performance consumers that exhibit generally low preference in the performance market. Accordingly, FGI was conducted on seven employees and professionals in the arts and cultural sector and then open survey results were categorized into eight factors and a total of sixty-five items using the KJ method to find the viewing decision factors per consumer type of Korean traditional music performances. Afterwards, a six-factor and thirty-five items were extracted after conducting an exploratory factor analysis and confirmatory factor analysis was conducted to verify the structural appropriateness, and then the feasibility of the composition of Korean traditional music performance viewing decision factor scale was verified. Results of the analysis showed that first, for general Korean adults making decisions to view Korean traditional music performances, there was positive impact in the order of interest-creating factors, fame and talent factors, emotional and information factors, creativity factors, reasonable price factors, and social relation factors. Second, the general tendency of decision factors to view Korean traditional music performances showed relatively high levels in reasonable price factors and interest-creating factors among the Korean traditional music performance viewing decision factors, while emotional and information factors were found to be relatively low.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.45-52
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• 2020

In this paper, we propose an intention to study the purchase of smart music by Chinese consumers. To study the influence of the originality and usefulness of intelligent music products on the purchase intention of Chinese consumers, and to explore how the originality and usefulness of intelligent music products affect the purchase intention. To achieve this goal, 372 questionnaires were collected through the Internet for frequency analysis, factor analysis, confidence analysis and structural equation analysis of data collection, and were carried out by SPSSV22.0 and AMOSV22.0 methods. Research the validation of assumptions in the model to reveal the psychological and behavioral responses of consumers to smart music products. The results show that the originality and usefulness of new products not only directly affect the purchase intention of Chinese consumers, but also indirectly affect their purchase intention by enhancing their attractiveness. The conclusion of this study is of guiding significance for the development of intelligent music product development and marketing strategy.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.27-38
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• 2011

This study was aimed to investigate the effects of restaurant in-store color and music congruency on consumer's emotional responses and behavioral intentions. The web survey was conducted among 400 customers(aged from 20~39 years old) who lived in Seoul and Kyunggi, Incheon Province. To find ensemble effect of color and music, 3D studio MAX were used to make high-stimulus(exciting) and low-stimulus(calm) and 3D virtual reality restaurant simulation stimulus were applied. The statistical data analyses were performed using SPSS/WIN 18.0 and reliability analysis, factor analysis, regression analysis were used. Based on the result of the conducting factor analysis, emotional responses were classified into 2 factors: positive emotion and negative emotion. Satisfaction was classified into 1 factor: satisfaction. Loyalty was classified into 1 factor: loyalty. Cronbach's alpha was calculated for the reliability of the survey instrument. Consequently, restaurant in-store color and music congruency were shown to affect positive emotion and negative emotion. Positive emotion and negative emotion were shown to affect satisfaction. Satisfaction were shown to affect loyalty. Music congruency had a higher effect on positive emotion than color congruency. Color congruency had a higher effect on negative emotion than music congruency. The results of this study will serve as a basis of color and music congruency with restaurant atmospherics.