• 산경연구논집
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• 제15권5호
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• pp.1-15
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• 2024

Purpose: The purpose of this study is to explore the development and characteristics of e-commerce in China and analyze the current status of e-commerce platforms in China. Research design, data and methodology: To explore the development of e- commerce in China, this study collects and analyzes Chinese journals and secondary sources. It also conducts a case analysis of the success strategies of leading Chinese e-commerce companies. Results: The analysis showed that China's e-commerce is active in various forms of e-commerce, including B2B, B2C, and C2C, and that the development of e-commerce in China has been divided into three main stages. The Chinese government has been actively implementing various policies to promote the development of e-commerce. Conclusions: In this context, this paper specifically examines the development process of e- commerce in China, the current status of the Chinese e-commerce market, and the characteristics of the Chinese e-commerce market. In addition, the paper analyzes representative B2B, B2C, and C2C companies in China's e-commerce market. The results of the analysis show that Huichongwang, a B2B company, Jingdong, a B2C company, and Taobao, a C2C company, have achieved rapid growth through their core strategies and capabilities. The study also analyzed in detail the problems faced by the Chinese government and companies.

• 디지털융복합연구
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• 제15권8호
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• pp.477-487
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• 2017

중국의 소비시장이 성장함에 따라 중국 내수시장 진출에 대한 새로운 전략이 필요한 시점이다. 중국은 전자상거래를 활성화하기 위하여 통관 물류 시스템 개선 및 세제 혜택 등 다양한 지원을 강화하고 있다. 이에 따라 이 연구는 게임이론과 국내 제조기업의 진출사례 SWOT분석 방법을 활용하여 중국 온라인 유통시장에 대한 접근전략을 도출하였다. 중국 온라인 유통시장은 Alibaba와 Jingdong이 전체 시장의 약 80%를 차지하는 과점 형태로 게임이론을 따르면 한국 기업과 중국 기업이 선택할 수 있는 경우의 수는 저 위험 저 수익의 진출 최소화에서 중등 위험 중등 수익의 시험적 수용으로 전환될 가능성이 있음을 알 수 있었다. 또한 중국 온라인 유통시장에 진출한 기업의 SWOT 분석을 통해 중국 온라인 유통시장진출에 앞서 오프라인 시장에서 자사 제품 및 브랜드 인지도를 제고하여야 한다는 점과 중국 현지에 적합한 현지화 모델을 준비해야 한다는 시사점을 도출할 수 있었다.

• Asian-Australasian Journal of Animal Sciences
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• 제22권4호
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• pp.605-610
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• 2009

In the last 20 years, meat quality, especially meat edible quality has become a more intriguing topic in the field of swine production. In this paper, we briefly review the progress of meat quality research from the aspects of genetic selection and nutritional modulation, and propose a possible approach -nutrigenomics- to explore the nutrition-responsive major genes that affect meat quality formation during the growing and fattening of pigs.

• Bulletin of the Korean Chemical Society
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• 제30권4호
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• pp.882-886
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• 2009

The electrode contact poling is one of the efficient tools to induce a stable polar order of nonlinear optical (NLO) chromophores in the solid film. Self-assembled NLO chromophores with high electro-optic (E-O) activities were utilized for quantitative determination of the chromophore order induced under contact poling by spectroscopic changes. We found that NLO chromophores rarely decompose under the high electric field during contact poling. The absorption spectra were de-convoluted into a sum of Gaussian components to separate energy transitions for a binary composite system which contains a secondary guest chromophore AJC146 in the self-assembled chromophore HDFD. Poling efficiency was significantly improved in the binary system compared to the individual components.

• 디지털융복합연구
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• 제16권1호
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• pp.293-303
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• 2018

본 연구는 중국 온라인 쇼핑 타오바오(Taobao)와 진동(Jindong) 웹사이트에 대한 브랜드 개성, 브랜드 자산 그리고 브랜드 가치에 대한 차이를 알아보기 위해 중국 소비자를 대상으로 162개의 설문은 타오바오, 159의 설문은 진동에 설문한 총 321개의 설문지를 분석에 사용하였다. 분석 결과 첫째, 타오바오에 대한 브랜드 개성은 '성실', '세련', '역량', '흥미로움', 진동에 대한 브랜드 개성은 '역량', '세련' 그리고 '흥미로움'으로 나타났다. 둘째, 두 쇼핑 웹사이트에 대한 브랜드 개성이 브랜드 자산과 가치에 미치는 영향 분석 결과, 타오바오의 '성실' 브랜드 개성은 브랜드 충성도, 브랜드 이미지 그리고 인지된 품질에 긍정적 영향을 주었으며, '세련' 브랜드 개성은 브랜드 이미지와 인지된 품질에 긍정적 영향을 주었으며, '역량' 브랜드 개성은 브랜드 충성도, 브랜드 인지도 그리고 브랜드 이미지에 긍정적 영향을 주었다. 진동의 경우 '역량'과 '세련'에 대한 브랜드 개성은 브랜드 자산에 긍정적 영향을 주었다, '흥미로움'에 대한 브랜드 개성은 인지된 품질에 긍정적 영향을 주었다. 셋째, 브랜드 충성도와 인지된 품질은 타오바오의 브랜드 가치에 긍정적인 영향을 주었으며, 브랜드 충성도, 이미지 그리고 인지된 품질은 진동의 브랜드 가치에 긍정적인 영향을 주었다. 본 연구 결과는 두 쇼핑 웹 사이트에 대한 브랜드 개성을 이해하고 브랜드 가치 발전을 위한 브랜드 관리에 대한 이론적 기반을 제공하는데 의미가 있다고 본다.

• 동아시아경상학회지
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• 제9권4호
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• pp.69-80
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• 2021

Purpose - This study investigated the development process of the Chinese distribution industry and analyzed the current status of China's offline and online distribution industries under the development process of the Chinese distribution industry. In addition, the current status of offline distributors in China and representative companies were analyzed as case studies. Research design, data, and methodology - This study analyzed the overall environment of the Chinese distribution industry by using literature data. Then, this study conducted a case analysis using RT Mart and Jingdong, major companies in the distribution industry. Result -The main research results of this study show that the Chinese distribution market has already matured, and retailers are fiercely competing to secure sales and operating profits through various methods such as finding new management methods, improving awareness and customer loyalty by expanding the number of stores. Conclusion -Recently, the characteristic of China's distribution industry is that the boundaries of distribution are breaking down. Chinese retailers are taking strategies to expand the scope of services by erasing the boundaries of distribution. In other words, distribution companies are promoting a borderless distribution strategy in which consumers purchase products online and offline without restrictions on time and space. In addition, small stores in residential areas are on the rise compared to large-scale stores in the city center. The existing distribution industry operates various types of distribution stores to prepare for the post-COVID-19 crisis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4028-4042
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• 2021

Aiming at the problem of software defect prediction difficulty caused by insufficient software defect marker samples and unbalanced classification, a semi-supervised software defect prediction model based on a tri-training algorithm was proposed by combining feature normalization, over-sampling technology, and a Tri-training algorithm. First, the feature normalization method is used to smooth the feature data to eliminate the influence of too large or too small feature values on the model's classification performance. Secondly, the oversampling method is used to expand and sample the data, which solves the unbalanced classification of labelled samples. Finally, the Tri-training algorithm performs machine learning on the training samples and establishes a defect prediction model. The novelty of this model is that it can effectively combine feature normalization, oversampling techniques, and the Tri-training algorithm to solve both the under-labelled sample and class imbalance problems. Simulation experiments using the NASA software defect prediction dataset show that the proposed method outperforms four existing supervised and semi-supervised learning in terms of Precision, Recall, and F-Measure values.

• BMB Reports
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• 제43권2호
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• pp.140-145
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• 2010

The present study investigated whether the mammalian target of rapamycin (mTOR) signal pathway is involved in the regulation of high glucose-induced intramuscular adipogenesis in porcine muscle satellite cells. High glucose (25 mM) dramatically increased intracellular lipid accumulation in cells during the 10-day adipogenic differentiation period. The expressions of CCAAT/enhancer binding protein-$\alpha$ (C/EBP-$\alpha$) and fatty acid synthase (FAS) protein were gradually enhanced during the 10-day duration while mTOR phosphorylation and sterol-regulatory- element-binding protein (SREBP)-1c protein were induced on day 4. Moreover, inhibition of mTOR activity by rapamycin resulted in a reduction of SREBP-1c protein expression and adipogenesis in cells. Collectively, our findings suggest that the adipogenic differentiation of porcine muscle satellite cells and a succeeding extensive adipogenesis, which is triggered by high glucose, is initiated by the mTOR signal pathway through the activation of SREBP-1c protein. This process is previously uncharacterized and suggests a cellular mechanism may be involved in ectopic lipid deposition in skeletal muscle during type 2 diabetes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권2호
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• pp.683-701
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• 2012

IEEE 802.11 standard has achieved huge success in the past decade and is still under development to provide higher physical data rate and better quality of service (QoS). An important problem for the development and optimization of IEEE 802.11 networks is the modeling of the MAC layer channel access protocol. Although there are already many theoretic analysis for the 802.11 MAC protocol in the literature, most of the models focus on the saturated traffic and assume infinite buffer at the MAC layer. In this paper we develop a unified analytical model for IEEE 802.11 MAC protocol in ad hoc networks. The impacts of channel access parameters, traffic rate and buffer size at the MAC layer are modeled with the assistance of a generalized Markov chain and an M/G/1/K queue model. The performance of throughput, packet delivery delay and dropping probability can be achieved. Extensive simulations show the analytical model is highly accurate. From the analytical model it is shown that for practical buffer configuration (e.g. buffer size larger than one), we can maximize the total throughput and reduce the packet blocking probability (due to limited buffer size) and the average queuing delay to zero by effectively controlling the offered load. The average MAC layer service delay as well as its standard deviation, is also much lower than that in saturated conditions and has an upper bound. It is also observed that the optimal load is very close to the maximum achievable throughput regardless of the number of stations or buffer size. Moreover, the model is scalable for performance analysis of 802.11e in unsaturated conditions and 802.11 ad hoc networks with heterogenous traffic flows.

• Journal of Information Technology Applications and Management
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• 제25권2호
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• pp.53-72
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• 2018

This empirical study explored characteristics that affect the usefulness of online reviews, in the China e-commerce platform, and implemented multiple regressions to find factors that significantly influence on product sales, ultimately. Till now, prior studies have continuously revealed what factor affects usefulness of online review or product sales, only in respective terms. The point of our study is that we built two-level regression models, thereby being able to comprehensively analyze these two different targets. Before plunging into running regressions, we carefully collected 192,764 online review data for 200 products extracted from the Jingdong, the second biggest e-commerce platform in China. Also, we gathered "review sentimental scores" variable from each review and used that one as a core variable in our regression model, thus we were able to implement both quantitative and qualitative research. The evidences from the two-level regression models showed that the extent to which a product is experience good positively affects both usefulness of a review and product sales, again the usefulness of a review contributes to product sales in sequence. Also, the property of experience good has interaction effect on both for two-level regression models. Our main findings highlight the importance of role of online review to business performance of e-commerce firms.