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패션제품 소비의 테라피적 효과에 관한 연구: 근거이론 방법의 적용
김설매 ( Jin¸ Xuemei ),김태연 ( Kim¸ Tae Youn ),이윤정 ( Lee¸ Yoon-jung ) 한국소비자학회 2020 소비자학연구 Vol.31 No.6
본 연구는 소비 행위가 사회문화적 현상으로서 힐링(healing) 추구를 위한 수단으로 사용될 수 있다는 관점에서 리테일 테라피(retail therapy)의 대표적 품목인 패션제품의 소비를 통한 소비자의 힐링 경험을 분석하고 패션제품을 쇼핑하는 과정에서 쇼핑 행위 자체를 통해 경험되는 힐링의 측면과 패션제품의 속성 가치가 제공하는 욕구 충족을 통해 경험되는 힐링 측면이라는 두 가지 맥락에서 패션제품 소비의 힐링 효과를 제시하고자 하였다. 이를 위해20~30대 남녀를 대상으로 반구조적 질문지를 이용한 개인별 심층면접을 실시하여 자료를 수집하였고, 패션제품의 테라피적 소비와 관련된 경험을 분석하고 이를 개념화하기 위해 근거이론 방법을 사용하였다. 개방 코딩과 축 코딩 과정을 거쳐 자료를 분석한 결과, 패션제품 소비를 통한 힐링 추구를 중심 현상으로 하여 인과적 조건으로 일상생활 속 다양한 부정적 감정 경험이 도출되었고, 힐링을 중요시 하는 분위기인 사회적인 힐링열풍이 맥락적 조건으로 제시되었다. 중재적 조건으로는 경제적 상황, 타인 의식, 브랜드 명성 추구와 같은 환경 요인과 패션제품 유행성, 선호하는 패션스타일, 선호 브랜드의 제품선택기준을 포함한 힐링소비 시 고려사항이 도출되었다. 작용·상호작용 전략으로는 힐링을 위한 수행전략으로서 자기보상, 대리만족, 현실도피, 기분전환을 위한 소비행위를 들 수 있었다. 패션제품 소비를 통해 경험되는 힐링의 긍정적 결과로는 정서 회복, 자존감 상승, 심리적 결핍감 보완, 만족감 충족과 같은 심리적 혜택으로 나타났으며 힐링 추구를 위한 패션제품 소비 후, 소비에 대한 회의감, 과소비에 대한 반성, 충동구매에 대한 후회와 같은 불만족도 경험하는 것으로 분석되었다. 본 연구결과는 소비자의 감정 유형에 따른 제품 관련 힐링 지표 개발에 대한 연구나 소비자가 힐링을 느낄 수 있는 제품 및 서비스개발에 도움이 되는 기초자료로 이용될 수 있을 것이다. This study tried to analyze and conceptualize consumers’ healing experience via consumption of fashion products for retail therapy. The data was collected by in-depth and semi-structured with a purposive sample of consumers in their 20~30s, and analyzed using the grounded theory methodology. As a result, this study proposed a paradigm model in which different negative emotions caused consumers’ seeking for healing via consumption of fashion products as central phenomenon. Consumers’ environmental factors and selection criteria for fashion products were revealed as intervening conditions. The result also showed that consumption for self-compensation, vicarious pleasure, escapism and diversion was used as actionᆞinteraction strategy for healing, and indicated psychological benefit as positive consequences of healing. The results of this study may provide implications for marketers in developing strategies to better serve the healing consumers, and also for consumer psychologists in identifying the mechanism that leads to problematic consumption patterns such as compulsive shopping behavior.
암센서용 TiO2/Au/CNT 나노복합물의 전기화학적 검출
홍성미, 김홍일, 김한주, Wang, Xuemei, 박수길 충북대학교 건설기술연구소 2008 충북대학교 건설기술연구소 논문집 Vol.27 No.1
Demand of rapid detection for cancer, it is necessary that high sensitivity, specificity, low cost, and simple method. CNT and metal nano materials are widely used to elecate efficient. CNT have various advantage, and can be composed with metal nano materials. Especially, Titanium oxide and gold nano particles are focused on sensor for detection of cancer, it can elecate electron transition feeiciency between electrode surface and target materials, and biological functionalization of CNT. It means that nano material is composed each other. In this study, electrodes are considered materialsd and their chracteristic for cancer sensor.
Molybdenum Dioxide-Anchored Graphene Foam as a Negative Electrode Material for Supercapacitors
Xuemei Mu,Xiaozhi Liu,Ke Zhang,Jian Li,Jinyuan Zhou,ER-QING XIE,Zhenxing Zhang 대한금속·재료학회 2016 ELECTRONIC MATERIALS LETTERS Vol.12 No.2
Molybdenum dioxide nanoparticles of diameter 100 nm were anchoreduniformly to a three-dimensional (3D) graphene foam using an ultrasonicationassisteddeposition method. X-ray diffraction and Raman spectroscopyindicated that the molybdenum dioxide nanoparticles had a monoclinic crystalstructure. The 3D graphene/MoO2 nanoparticle composite showed excellentpseudocapacitive ability as its specific capacitance reached 404 F g−1 at a scanrate of 2 mV s−1 in the negative potential range, −1.0 to −0.2 V, in a neutralsolution. Overall, the 3D graphene/MoO2 nanoparticle composite has greatpotential as an anode material for the next generation of high-performancesupercapacitors.
Node Deployment Algorithm Based on Improved Steiner Tree
Xuemei Sun 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7
Wireless sensor networks are being applied to a wider and wider range and better quality of network service is becoming increasingly important. Node deployment has been a key point of research on development of wireless sensor network. In essence, the problem node deployment of wireless sensor networks calculates the position where sensors are placed in regions to satisfy specific demands of network. This problem has been proved to be a NP-complete one. This thesis proposes node deployment algorithm about wireless sensor networks based on Steiner tree algorithm. On the basis of the triangle Steiner tree algorithm, it considers the two aspects algorithm complexity and practical topology to design improvement strategies. The algorithm can ensure high arithmetic speed and better results to solve node deployment based on network connectivity.
Calculating Wind Variability Costs with Considering Ramping Costs of Conventional Power Plants
Xuemei Dai,Kaifeng Zhang,Jian Geng,Ying Wang,Kun Yuan 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.3
Due to the variability of the wind power, conventional power plants are required to ramp more frequently to mitigate the imbalance of generation and supply, which increase the total cost of power systems. The increase of the cost is termed the “variability cost” of wind power. Generally, it includes the additional ramping cost, reserve cost and fuel cost of conventional plants. In this paper, we propose an alternative scenario construction method to calculate the “variability cost” of wind power from the viewpoint of the power system schedule. Firstly, in the alternative scenario, a new energy proxy with zero wind variability costs is constructed. Then, a unit commitment optimization model considering ramping costs is developed. The operation costs of power systems under two scenarios (alternative one and real one) are calculated and the diff erence between two costs is the variability cost. Furthermore, we apply the proposed method to calculate the variability costs of the wind farm cluster. The simulations show that the variability cost increases with higher penetration and higher variability of wind power. Meanwhile, it is found that the variability cost of the wind farm cluster as a whole is lower than the sum of variability costs of each wind farm.
Host Species as a Strong Determinant of the Intestinal Microbiota of Fish Larvae
Xuemei Li,Yuhe Yu,Weisong Feng,Qingyun Yan,Yingchun Gong 한국미생물학회 2012 The journal of microbiology Vol.50 No.1
We investigated the influence of host species on intestinal microbiota by comparing the gut bacterial community structure of four cohabitating freshwater fish larvae, silver carp, grass carp, bighead carp, and blunt snout bream, using denaturing gradient gel electrophoresis (DGGE) of the amplified 16S and 18S rRNA genes. Similarity clustering indicated that the intestinal microbiota derived from these four fish species could be divided into four groups based on 16S rRNA gene similarity, whereas the eukaryotic 18S rRNA genes showed no distinct groups. The water sample from the shared environment contained microbiota of an independent group as indicated by both 16S and 18S rRNA genes segments. The bacterial community structures were visualized using rank-abundance plots fitted with linear regression models. Results showed that the intestinal bacterial evenness was significantly different between species (P<0.05) and between species and the water sample (P<0.01). Thirty-five relatively dominant bands in DGGE patterns were sequenced and grouped into five major taxa: Proteobacteria (26), Actinobacteria (5), Bacteroidetes (1), Firmicutes (2), and Cyanobacterial (1). Six eukaryotes were detected by sequencing 18S rRNA genes segments. The present study suggests that the intestines of the four fish larvae, although reared in the same environment, contained distinct bacterial populations, while intestinal eukaryotic microorganisms were almost identical.