• Title/Summary/Keyword: Relational behavior

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Review of the Theoretical Components of Community Music Therapy (커뮤니티 음악치료의 구성요소에 대한 고찰)

  • Kang, Hyun-Jung
    • Journal of Music and Human Behavior
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    • v.14 no.2
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    • pp.91-105
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    • 2017
  • Community music therapy (CoMT) has been recently developed and expands the opportunities for music therapy. The concept of CoMT is introduced in this article, and its three attributes of community, music, and health are reviewed. This study specified each attribute of CoMT: a community (a group of people, a field where members of a group interact with each other), music (a substance of interaction, collective music-making), and health (motivation and goal of interaction, relational and social well-being). The application and interactions of the three attributes of CoMT are introduced as in the concept of community music, music and health, and community health. How CoMT can be applied to the field of music therapy is also detailed and based on the concept of CoMT and its relationship with the attributes, the CoMT was reconstructed as CoMuHeal in this study. Future studies are needed to propose how music therapy approaches can be developed to provide music for well-being and better health in the community and how CoMT can be applied in collaboration with other professional fields.

An Exploratory Study on the Suppliers' Strategy for Developing Long-term Relationship with Buyers (구매기업과의 장기적 거래관계 형성을 위한 공급업체의 전략 수립에 관한 탐색적 연구)

  • Lee, Youn-Suk;Shin, Ho-Jung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.4
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    • pp.13-30
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    • 2008
  • We explore the determinants of long-term relationship between the buyer and the supplier to help suppliers develope a strategy to build long-term relationship with their buyers. Based upon an extensive literature review, we propose three droops of independent variables which may affect long-term relationship, including (a) environmental factors (product complexity, product importance, source dependence, price sensitivity), (b) relational factors(trust, commitment, satisfaction, intention of expansion), (c) operational performance(quality, delivery, cost capability, technical knowhow). The buyer's actual period of relationship with its main supplier is used as a dependent variable. Using hierarchical multiple regression analysis, we empirically test hypotheses, analysing a sample of 290 manufacturing firms in the U.S. The statistical results indicate that the buyer's source dependence, price sensitivity and the supplier's commitment play a significant role in establishing long-term relationship between the buyer and the supplier. However, the supplier's cost capability and technical knowhow in operational performance negatively affect long-term relationship in contrast with our hypotheses. Due to this controversial result, we divide the sample group Into dual sourcing and multiple sourcing environments and reconduct regression analysis in a post hoc manner. The findings show that the supplier's cost capability and technical knowhow are negatively associated with the length of relationship only in the multiple sourcing environment. The results may confirm that both parties' opportunistic behavior is more salient in the multiple sourcing environment than in the single sourcing environment.

Association Analysis for Detecting Abnormal in Graph Database Environment (그래프 데이터베이스 환경에서 이상징후 탐지를 위한 연관 관계 분석 기법)

  • Jeong, Woo-Cheol;Jun, Moon-Seog;Choi, Do-Hyeon
    • Journal of Convergence for Information Technology
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    • v.10 no.8
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    • pp.15-22
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    • 2020
  • The 4th industrial revolution and the rapid change in the data environment revealed technical limitations in the existing relational database(RDB). As a new analysis method for unstructured data in all fields such as IDC/finance/insurance, interest in graph database(GDB) technology is increasing. The graph database is an efficient technique for expressing interlocked data and analyzing associations in a wide range of networks. This study extended the existing RDB to the GDB model and applied machine learning algorithms (pattern recognition, clustering, path distance, core extraction) to detect new abnormal signs. As a result of the performance analysis, it was confirmed that the performance of abnormal behavior(about 180 times or more) was greatly improved, and that it was possible to extract an abnormal symptom pattern after 5 steps that could not be analyzed by RDB.

The Effects of Anxiety and Depression on Treatment Outcome of Social Skills Training in Adolescents with Autism Spectrum Disorder (청소년 자폐스펙트럼장애에서 사회기술훈련의 효과에 미치는 우울, 불안 증상의 영향)

  • Hong, Jung Kyung;Noh, Dong-Hyun;Oh, Miae;Kim, Ju-Hyun;Bong, Guiyoung;Yoo, Hee Jeong
    • Anxiety and mood
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    • v.14 no.2
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    • pp.99-105
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    • 2018
  • Objective : The purpose of this study was to investigate effects of depression and anxiety on treatment response of social skills training in adolescents with autism spectrum disorders (ASD). Methods : A total of 107 teenagers that participated in the Program for the Education and Enrichment of Relational Skills (PEERS$^{(R)}$) between 2011 and 2015 were analyzed using linear regression. Outcome measures used were the Korean version of Social Responsiveness Scale (SRS), the Test of Adolescent Social Skills Knowledge-Revised (TASSK-R), and the Korean version of Autism Diagnostic Observation Schedule (K-ADOS). Depression and anxiety were assessed by the Korean version of Child Depression Inventory (CDI), the Korean version of State and Trait Anxiety Inventory for Children (STAIC), and the Korean version of Child Behavior Checklist (K-CBCL). Results : As a result, depressive symptoms measured by CDI (p<0.05) and anxiety symptoms measured by STAIC (p<0.05) had significant influence on score change of social interaction domain of ADOS. It remained significant even after the baseline score was adjusted as covariates (p<0.05). Conclusion : We observed that pre-treatment anxiety and depressive symptoms of teenagers had significant effects on the treatment outcome of PEERS$^{(R)}$, especially in terms of face-to-face social interaction.

The impact of self-esteem and unstable adult attachment on Compensatory consumption behavior among Millennials (밀레니얼세대의 자아존중감과 불안정 성인애착이 보상소비행동에 미치는 영향)

  • Hwang, JiHee;Cho, KyeongEun;Choi, HyeKyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.99-104
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    • 2021
  • The purpose of the study is to examine the impact of self-esteem and unstable adult attachment on compensatory consumption among millennials. The survey was conducted on millennials (19~34) in June, 2018. The results revealed the static relationship between self-esteem and compliment-type compensatory consumption, while the relationship of self-esteem with consolation-type compensation consumption become insignificant when unstable adult attachment was controlled. Unstable adult attachment(anxiety/avoidance) showed significant impace on both compliment-type and consolation-type compensatory consumption. The research findings imply that compensatory consumption behaviors can be explained with psychological and relational factors among consumers in their early adulthood.

A Qualitative Inquiry on Group Music and Imagery Experiences (그룹 음악과 심상 경험에 대한 질적 사례연구)

  • Kim, Aimee Jeehae
    • Journal of Music and Human Behavior
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    • v.17 no.2
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    • pp.101-117
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    • 2020
  • This study aimed to investigate music and imagery (MI) experiences in group settings using a qualitative case study approach. For this purpose, a focus group interview was conducted with four professional music therapists, who participated in peer MI group sessions without a therapist. Data collected from the interview were analyzed by qualitative data analysis procedures. Results demonstrated that successful group music experiences in the early stages, such as sharing and selecting music together within the group or experiencing group support, leaded to developing trust towards music and the group in participants. Moreover, the trust built upon such basis was shown to facilitate expansions in emotional experiences, imageries, relational aspects, and music resources, which led to new personal insights. In addition, the participants recognized the supportive nature of the group played a role of encouraging participants to challenge new experiences during MI experiences. The results suggest that group as a therapeutic factor can promote expansive emotional experiences and insights. Furthermore, the findings may provide implications for music psychotherapy applications in group settings.

The Impacts of Human Resource Flexibility on Organizational Commitment Through the Mediating Effects of Self-efficacy (인적자원유연성이 조직몰입에 미치는 영향: 자기효능감의 매개효과를 중심으로)

  • Chi, WenJun;Jin, Chunhua
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.165-171
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    • 2022
  • The purpose of this study is to verify the effect of human resource flexibility on organizational commitment and to verify the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment. In order to achieve this research purpose, a survey was conducted on employees working in the service industry in China, and the results of the analysis are as follows. First, it was found that technological flexibility, behavioral flexibility, and relationship flexibility, which are sub-factors of human resource flexibility, all had a significant positive effect on organizational commitment. Second, as a result of verifying the mediating effect of self-efficacy in the relationship between human resource flexibility and organizational commitment, it was verified that self-efficacy has a partial mediating effect in the relationship between technological flexibility, behavioral flexibility, relationship flexibility, and organizational commitment. Finally, the implications of this study were presented and the future research direction was discussed.

Review of Music Intervention Research With North Korean Defectors: A Focus on Posttraumatic Growth (탈북민 대상 음악중재 연구 고찰 : 외상 후 성장을 중심으로)

  • Kim Sun A;Park Hye Young
    • Journal of Music and Human Behavior
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    • v.20 no.1
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    • pp.21-46
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    • 2023
  • The purpose of this study was to review the literature on music intervention research with North Korean defectors, focusing on posttraumatic growth. Eleven research papers were searched and selected to examine their general characteristics, intervention content, and therapeutic basis of music interventions for North Korean defectors. The investigated variables were related to posttraumatic growth-related aspects in changes in individuals, intervention goals, measurement tools, outcomes depending on developmental stages of the participants. The analysis showed that music provided a safe and familiar environment, which facilitated voluntary participation. Through music interventions, it was confirmed that individuals were able to discover their inner strength, leading to improved adaptability in daily life; positive changes were experienced in the social and relational aspects; and confidence in the future was strengthened. By reviewing music interventions with North Korean defectors, this study can present implications for music interventions with people who have experienced trauma and require assistance in fostering posttraumatic growth.

Big Data using Artificial Intelligence CNN on Unstructured Financial Data (비정형 금융 데이터에 관한 인공지능 CNN 활용 빅데이터 연구)

  • Ko, Young-Bong;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.232-234
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    • 2022
  • Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

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Level of happiness and its association with food literacy among Seoul citizens: results from Seoul Food Survey 2021

  • Hyelim Yoo;Eunbin Jo;Hyeongyeong Lee;Eunji Ko;Eunjin Jang;Jiwon Sim;Sohyun Park
    • Nutrition Research and Practice
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    • v.18 no.1
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    • pp.119-131
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    • 2024
  • BACKGROUND/OBJECTIVES: Happiness is an important factor in life, and food literacy (FL) has been emphasized as a core concept for a happy and healthy life. This study examined the level of happiness of Seoul citizens according to their sociodemographic factors and their association with FL. SUBJECTS/METHODS: This study used the data from the Seoul Food Survey, a cross-sectional study conducted on 4,039 Seoul citizens from September to October 2021. FL was measured using a validated questionnaire consisting of 33 items from 3 sub-domains: 14 items in the nutrition and safety domain, 8 items in the cultural and relational domain, and 11 items in the socio-ecological domain. Statistical analysis involved descriptive statistics and multivariate regression analysis. RESULTS: Various sociodemographic factors, such as household income, subjective health status, and food insecurity, were found to be associated with the level of happiness. The level of FL was also associated with the happiness scores. After adjusting for variables associated with happiness, the participants with the highest quartile FL scores were 7.32 times more likely to respond that they were happy than those with the lowest FL score. Three FL domains and total FL showed linear increases in overall happiness after controlling for subjective health status and sociodemographic factors (P < 0.001). CONCLUSIONS: After adjusting for the related covariates, higher levels of FL were associated with higher scores in happiness. Based on this study, it would be meaningful to evaluate ways to intervene in FL to improve the level of happiness among the general population.