본 연구에서는 온라인 패션시장에서 소호 패션쇼핑몰의 성공적 창업의 성장 과정을 알아보기 위해 현재 성공적으 로 운영되고 있는 4개 소호 패션쇼핑몰을 대상으로 기업가 과정을 창업기회포착, 사업모델, 위기관리 및 사업성과 등 3개 단계로 구분하여 분석하였다. 사례연구의 결과는 다음과 같다. S사는 짧은 경력의 창업자가 패션감각과 기업 가정신으로 전자상거래를 창업한, 가격경쟁력과 디자인력, 다양한 상품구색을 갖춘 캐주얼 쇼핑몰로 데이터 관리/분 석, 유통채널 다각화를 통해 성장한 사례이다. B사는 짧은 경력의 창업자가 SNS 네트워크 역량과 기업가정신으로제조업/전자상거래를 창업한, 아이템 경쟁력과 스타트업 특성을 갖춘 컨템포러리 쇼핑몰로 브랜드 정체성 확립, 시장 확장을 통해 성장한 사례이다. M사와 C사는 보다 긴 경력의 창업자가 브랜드 인지도가 있는 소호 패션쇼핑몰 사례 이다. M사는 풍부한 경력과 디자인 정신의 창업자가 감성적/감각적 패션디자이너 브랜드를 창업하여 기업 지평을 넓히는 다양한 활동을 통해 성장하였고, C사는 디자인 역량과 기업가정신의 창업자가 감성 표현에 집중한 럭셔리 패션브랜드를 창업하여 적극적인 고객관리를 통한 브랜드인지도 및 매출 확보 등을 통해 성장한 사례이다. 본 연구 결과는 소호쇼핑몰 예비창업자나 창업과정의 교육 및 연구에서 기초자료로 활용될 수 있다.

Introduction The purpose of this study is to investigate the relationship between site features toward ecommerce and consumer attitude. For completion of this study, 598 online shopping experience for consumers participated in Guangzhou, Zhengzhou, Shenyang and conducted questionnaires. All data were analyzed by using the experimental method and By means of SPSS Ver 20.0 and AMOS 20.0 program to identify the relationship between site features toward ecommerce, User satisfaction, Use attitude towards the site and reuse intention in China. The results were followings: among site features toward ecommerce, Easy of use, Interaction, Information and executive ability influenced user satisfaction in China. User satisfaction have significant influence on use attitude toward the site. User satisfaction have significant influence on reuse intention. Use attitude toward the site have significant influence on reuse intention. And relation between site attributes toward online store and user satisfaction a portion moderated by e-WOM. Theoretical Frameworks With the use of the Internet and the popularization, the countries all over the world with the rapid expansion of scale, e-commerce application field of the economy in China has gradually been fully applied, more related to our life brought new development business services, the network shopping as a necessary to modern one of consumer behavior, and gradually developed into a new fashion. Under this background, the consumer online shopping, shopping website feature dimension has become an important factor that influence the online consumer behavior by academic circles in recent years. Literature, website characteristic dimension is discussed（Khaled Hsanein, 2007；Ying-Feng Kuo, 2012；Marie-Odile Richard, 2015；Jill Mosteller, 2014）, user satisfaction, use the site attitude and intention to use consumer experience for shopping website features dimension problem, enrich the theory of shopping website feature dimension system. But concluded, abroad, especially in the United States consumer market based on shopping website feature dimension effect on user satisfaction research conclusion of the path itself is not the same. For example: Featherman ＆ Pavlou(2003)；Pavlou(2003); O`Cass＆Fenech(2003)according to a study of cognitive useful online shopping intention have significant direct impact to the user the study of cognitive usability has a significant effect on shopping intention, but (Jinsoo Park ea al, 2004; Rong-An Shang, 2005)cognitive usefulness influence on shopping intention was not significant. Again, as a result of the above research mostly in foreign consumer market is given priority to, to foreign consumers research conclusion. But due to the difference of consumption culture between China and America, values differences, perceived shopping website characteristics, motivation, habit is also different, foreign research conclusions are not always suitable for the situation of the Chinese consumer market. for example, Jarvenpaa, etc.(1999) the study found that cognitive users to the website shopping risk to them from the online store shopping will have no effect. Teo&Yeong(2003) under Internet environment are studied by structural equation model of consumer purchase decision process, found that perceived risk and consumer negatively correlated to the general attitude towards online transactions. But (Zhao Chongzhi,2002) based on the domestic consumer market research found that shopping site safety cognition to the website for user functionality have a significant impact on interests and security interests. And (Cha Jin Xiang, Wang Lisheng,2006) of the study also found that consumer perception of shopping website service quality (including network security) and customer expectations of website for shopping website satisfaction have positive significant impact. The different research conclusions in different consumption market, Rachel Smith; George Deitz et al(2013) study because the result of different consumption culture. So according to the Chinese consumer market environment impact on consumer behavior under shopping website feature dimension is necessary for further research. Which shopping website feature dimension is main motivations affecting user satisfaction? Shopping site feature dimension can affect users through user satisfaction and willingness to use? Finally, some problems in the network shopping market in China, such as part of the electricity business enterprises lack of integrity led to false information, shopping website users with network information leakage weaken consumer trust and the shortage of electricity business logistics service ability, these problems have become the bottleneck of restricting network retail market sustained and rapid development. For consumers, before to make online shopping decisions, consumers need to compare goods search, information independently, price negotiation, customer feedback, and meantime consumers to comment on network level of recognition greatly affects the consumers' purchase intention (Wang Yuanhuai et al,2013). Especially for experiential service product, due to the consumers to buy before it is difficult to make an accurate evaluation the quality of the content(Litvin,2008), therefore, more comments need to refer to a large number of e-WOM in order to reduce the decision risk. So in this paper, the network comment information as regulating variable, confirm the shopping website feature dimension and the role of user satisfaction, etc., in this paper, the above problem is trying to answer. H1: Shopping site feature dimension positively related with satisfaction. H1-1: Shopping site feature dimension the ease of use and the use of satisfaction were positively correlated. H1-2: Shopping site of the interactive feature dimension was positively correlated with satisfaction. H1-3: Shopping site feature dimension informational was positively correlated with satisfaction. H1-4: Shopping site feature dimension performance was positively correlated with satisfaction.H1-5: Use the usefulness of feature dimension and shopping website satisfaction positively correlated. H2: user satisfaction positively related with the attitude of using the web. H3: user satisfaction and user intention to use present positive correlation. H4: use the website attitude positively related with user intention to use. H5 E-WOM in the website feature dimension and user satisfaction has significant intermediary role H5-1 E-WOM on the web site features in the dimension of usability and user satisfaction has significant intermediary role H5-2 The interactive E-WOM in the website feature dimension has significant intermediary role and user satisfaction H5-3 E-WOM in the website feature dimension of informational and user satisfaction has significant intermediary role H5-4 E-WOM in the website features dimensions and user satisfaction has significant intermediary role H5-5 E-WOM on the web site features dimension performance and user satisfaction has significant intermediary role Methods This research selected research object for the consumers of had online shopping experience, because these consumers to shopping website contact is more, the use of the functions of related websites have certain experience. Out 650 questionnaires, 598 valid questionnaires. Before the formal experiment, this study first preliminary experiments. Preliminary experiments in guangzhou, zhengzhou, shenyang, etc on the use of shopping website (Tmall, jingdong, Su Ningyi purchase, etc.) of the consumer as the research object, the actual 87 effective questionnaires were taken back. Preliminary experimental results show that the experimental measurement of each variable has a good reliability and validity, suitable for an official survey. Are test was started in February 17, 2015 ended on May 27, 2015, is still in the region were investigated. Market environment in our country according to the 2014 China's online shopping industry annual monitoring report Jane edition of C2C, the B2C shopping website ranking selection of shopping website: taobao, Tmall, jingdong, purchase, tencent Su Ningyi electricity online (QQ), etc., in view of the above in shopping website to buy related products, related use experience of man-made objects were investigated. Results in the overall sample run AMOS 20.0 software, to calculate the estimates of the model fitting index and the path coefficient. Analysis results show that the fitting of indicators of structural equation model is: x squared = 553.937, (df = 187, p = 0.000), GFI = 0.927, AGFI = 0.901, CFI = 0.920, IFI = 0.921, RMR = 0.067, RMSEA = 0.057. Results show that the indicators have reached the high level, the model with data fitting degree is high. As shown in (table 1) model of each path coefficient of relationship between variables in the statistical analysis of results. From which it is easy to find shopping website features ease of use, interactive, informative and usefulness has significantly effect on user satisfaction, but the ability to execute on user satisfaction without significant effect. And user satisfaction of users use shopping site attitude and intention to use also show significant effect, the final users use attitude for the user to use intentions also has a significant effect. In addition, the network comment information in the website is part feature dimension and user satisfaction. As shown in (table 2) moderated regression analysis of relationship between variables in the statistical analysis of results. First, network review information in the website feature dimension and user satisfaction has significant intermediary role. Second, the interactive network review information in the website feature dimension has not significant intermediary role and user satisfaction. Third, network review information in the website feature dimension of informational and user satisfaction has significant intermediary role. Fourth, network comment on the usefulness of information in the website features dimensions and user satisfaction has significant intermediary role. Fifth, network review information on the web site features dimension performance and user satisfaction has significant intermediary role. (see Table 1, Table 2). Discussion In this paper, the research conclusion of electricity enterprise management practice also has important reference value and enlightenment, mainly reflected in the following four aspects. First, the electricity business enterprise through the web site provides service should be reasonable combination of design and site features, meet the demand of consumers mutiple level, enhance user satisfaction. Second, the electric business enterprise should pay attention to improve consumers' perceived value and satisfaction, enhance the user use the site attitude and intention to use. Online store users satisfied with the attitude to users to use the site, the user to use intentions have made a significant positive correlation. Third, to provide online shopping electric business enterprise should touch the consumers actively, positive attitude, get the user to use choice intention and behavior. Fourth, the electricity business enterprise in the marketing practice of the business, to formulate the corresponding management system supporting effective incentives to encourage consumers to actively participate in product e-Wom, efforts to improve the quality and quantity of comments, fully excavate and make use of the effective information in the network comments, and according to these information, timely adjust enterprise product strategy, marketing strategy, service strategy, to adapt to the change of consumer demand, is expected to improve the satisfaction of consumer, to further cultivate customer loyalty, thus to obtain competitive advantage in the fierce market competition.

The purpose of this study is to present theoretical and experimental evidence for a niche strategy for small and medium online shopping malls to run business against large famous shopping malls prevailing the E-commerce market. For this, the present study demonstrates how chronic construal levels of consumers may affect their alternative choice for online shopping via various contexts (Experiment 1-3) and categories (Experiment 3-5). This series of experiments suggests that consumers with high construal level can be defined as a group that is relatively less susceptible to reputation of the shopping malls. Thus, strategically targeting this group of consumers will help small and medium-sized online malls lacking store reputation to mitigate their competitive disadvantage. Based on both existing literature and the experimental results as above, this research discusses possible methods for small and medium-sized online shopping malls to target high-construal segmentation.

The online store attributes acts as an important trigger for e-impulse buying. Purchasing apparel products are often affected by irrational and emotional attraction making them one of the most frequent impulsively purchased items online. Triggered by ease access to products, easy purchasing, lack of social pressures and absence of delivery efforts, impulse buying occurs in approximately forty percent of all online expenditures. Impulse buying occurs when consumers experience an urge to buy a product, without thoughtful consideration why and for what reason one needs the product. However, few efforts have been made to identify the relationship among-store services attributes, emotions, browsing, urges to buy, and e-impulse buying of apparel products. The objectives of this study was to estimate a path model analysis for causative relationship among e-store service attributes, emotions, browsing, urges to buy, and e-impulse of apparel products. The instrument was developed based on the previous literatures (Park, et al., 2012; Verhagen & Dolen, 2011; Yang & Peterson, 2004)and each item was measured by five-point Liker type scales. A total of 250 data were collected during a regularly scheduled class in universities. More than half of the respondents (65.5%) were 18 to 21 years old. Nearly 65.5 percent of the subjects were women, and more than half of the respondents (63.8%) were below the sophomore. The path model analysis was conducted by AMOS 18.0 using a correlation matrix with maximum likelihood approach. An exploratory factor analysis revealed three types of e-store service attributes: Accuracy, Reliability, and Ease of use. The path model, which was estimated to examine causal relationships among variables (i.e. three types of e-store service attributes, emotions, browsing, urges to buy, and e-impulse buying), was relatively acceptable (chi-square value = 34.40, df = 13, p = .001; GFI = .98, AGFI = .93, RMR = .03). Cronbach's alphas were ranged between .83 and .87. This result suggests that emotions (e.g., positive and negative), browsing and urges to buy perceived by shoppers play important roles as mediators of the e-impulse buying of apparel products. Especially, the urge to buy apparel products was the most important mediator to trigger e-impulse buying. The consumers perceived the accuracy and reliability of e-store attributes were the more perceiving the urges to buy apparel products through the more positive emotions and then the more browsing at e-store. Also, the more ease to use of e-store perceived the more urges to buy apparel products. The more perceiving urges to buy at e-store were the more e-impulse buying of apparel products. This study provides retail managerial implications for stimulating e-shoppers' impulse buying of apparel products.