This study aims to establish an online shopping mall marketing strategy based on big data analysis methods. The customer cluster analysis method was utilized to analyze customer purchase patterns and segment them into customer groups with similar characteristics. Data was collected from orders placed over one year in 2023 at ‘Jeonbuk Saengsaeng Market’, the official online shopping mall for agricultural, fish, and livestock products of Jeonbuk Special Self-Governing Province. K-means clustering was conducted by creating variables such as ‘TotalPrice’ and ‘ElapsedDays’ for analysis. The study identified four customer groups, and their main characteristics. Furthermore, regions corresponding to customer groups were analyzed using pivot tables. This facilitated the proposal of a marketing strategy tailored to each group’s characteristics and the establishment of an efficient online shopping mall marketing strategy. This study is significant as it departs from the traditional reliance on the intuition of the person in charge to operate a shopping mall, instead establishing a shopping mall marketing strategy through objective and scientific big data analysis. The implementation of the marketing strategy outlined in this study is expected to enhance customer satisfaction and boost sales.

The online shopping market is expanding, with online shopping malls now subdivided into personal computer(PC) and mobile versions. Meanwhile, various efforts to promote online sales are being carried out in a bid to improve performance, and detailed research is required to inform such strategies. The purpose of this study was to classify online shopping mall types into PC fashion malls and mobile fashion malls with the aim of assessing sales promotion satisfaction and investigating the relationship between sales promotion satisfaction and consumers’ behavioral intentions. Data were collected by a survey firm in June 2023, and 248 copies of the data were used for analysis. SPSS 28.0 was used to process the data, and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The satisfaction factors for various sales promotions used by PC and mobile fashion shopping malls were empirically subdivided in consideration of consumer perspectives, and potentially effective marketing strategies were presented. Differences were observed in the type of satisfaction with sales promotion between PC fashion shopping malls and mobile fashion shopping malls and in the effect of sales promotion satisfaction on behavioral intention. Based on the study’s findings, effective sales promotion strategies that can increase satisfaction and enhance behavioral intention may be developed and implemented through the use of various and different sales promotion strategies in PC and mobile fashion shopping malls.

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.

Many studies have suggested that e-commerce value creation potential depends on four interdependent factors Lock-In, Complementarity, Efficiency, and Novelty. In order to survive in the recent fierce competition, companies have also secured e-Trust that strengthens long-term business relationships by reducing consumer uncertainty. This study, while analyzing the value creation factors (Lock-in, Complementarity, Efficiency, Novelty, e-Trust) of recent e-commerce (online shopping mall) companies from the point of view of purchase intention, customer value (Functional value, Emotional value, Social value) We present an academic proposition that can also examine the mediating effect of value). First, through previous studies on value-based strategy and value creation in e-commerce, various discussions on the theoretical background necessary for effective value-based strategy establishment and strategy execution of e-commerce (online shopping mall) companies were reviewed. Second, it provides academic discussion and practical implications by presenting academic propositions on the value creation factors of e-commerce (online shopping mall) companies, purchase intentions, and customer value, and confirming the basis through empirical analysis.

As the postsecondary school-age population continues to decline, universities are building identities to differentiate themselves and create a favorable impression among this cohort. We investigated the role of logo-bearing products as a way of promoting university identity, specifically, the effects of ingroup ties, ingroup affect, and centrality on attitude toward university logo products and purchase intention. This study further examined the moderating effects of perceived university prestige on the relationship between logo product attitude and in-store purchase intention, and the moderating effect of online shopping frequency on the relationship between logo product attitude and online purchase intention. We conducted a survey of undergraduate and graduate students at a university in Seoul. Survey responses (N=561) were collected and processed using SPSS 23.0. Multiple regression analysis showed that ingroup ties and affect had significant effects on product attitude. However, centrality had no significant effect on attitude toward the product. Product attitude had a direct significant effect on both in-store and online purchase intention. Perceived university prestige moderated the relationship between product attitude and in-store purchase intention. Moreover, online shopping frequency moderated the relationship between product attitude and online purchase intention. The results of this study are expected to provide fundamental knowledge for developing product strategy of logo products.

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

최근 패션 e 커머스 시장이 팽창됨에 따라, 온라인쇼핑몰시장이 급격히 증가하고 있으며 경쟁이 치열한 상황이다. 많은 유통업자들은 온라인 쇼핑몰에 뛰어들어 물류서비스 품질에 대한 노력을 기울이고 있다. 본 연구는 패션온라인 쇼핑몰에 대하여 고객만족도와 재구매율에 영향을 주는 물류서비스 품질이 무엇인지, 또 성별에 따라서 차이가 있는 지 조사하였다. 200명의 온라인 쇼핑몰 이용자를 대상을 표집하였으며 SPSS25 패키지를 이용, 분산분석, 요인분석, t-test, 상관분석 등 통계 분석하였다. 그 결과, 반품이유에 따라서 성별에 따른 차이를 나타내었는데, 품질에 차이를 보이거나 다른 제품이 배달되어도 남성은 여성보다 반품을 덜 하고 있었다. 또 패션온라인 쇼핑몰에서도 반품물류서 비스는 일반적인 물류서비스 요소와 동일하게 정보성, 신뢰성, 신속성 등 3가지로 나눌 수 있었으며, 이에 대한 평가 와 고객만족은 정적인 상관관계를 나타내었으며, 이는 재구매 의도에도 유의한 영향을 미치는 것으로 나타났다. 셀 렉 쇼핑몰이 반품이유, 재구매 의도와 만족도가 높은 반면에 전문쇼핑몰이나 일반 쇼핑몰은 비교적 낮은 것으로 나타났다. 반품물류 유통은 물류서비스의 품질과 구성요소 뿐만 아니라

Omni-channel strategy is an innovative paradigm for integrated information distribution of inventory, sales, operations, marketing, delivery, pickups and returns in supply chain management. Recently the distribution strategy faces new challenges with the advent of mobile distribution channels. Social media with countless apps imposes additional stress on supply chain operations. Due to these changes, distribution network in supply chain is changing naturally and rapidly from multi-channel to omnni-channel platform. Recently numerous domestic distributors establish and adapt this new supply chain optimization tool as a part of seamless flow of movements of goods from one channel to other channels. The objective of this paper is to present a preliminary findings on how omnni-channel affects the supply chain management. A survey is used to ascertain in the degree of omnni-channel implementation and statistical evidence is provided to test sets of hypothesis. The results of the questionnaire showed that consumers' purchasing styles differed by gender, age, purchase purpose, and product type. In particular, women consider purchasing experience in omni-channel to be important. As food and household goods can be conveniently shipped, consumers prefer online purchasing it. Conversely, consumers tend to favor omni-channel strategy in connection with offline experience in IT products.

The purpose of this study is to develop a multi-dimensional scale measuring consumers’ perceived challenge in shopping fashion products online, and to verify its validity and reliability. Relevant literature is first reviewed to identify possible dimensions of perceived challenge. Next, Study 1 is conducted in order to explore the dimensions empirically and to see whether the dimensions that emerged were consistent with prior findings. A total of 190 responses to an open-ended question was qualitatively analyzed by using content analysis. The findings of Study 1 generate 26 items reflecting four dimensions (i.e., product knowledge, previous experience, website functionality, and product availability), which correspond to the dimensions suggested in literature review. Study 2 is subsequently conducted to refine the items so that the perceived challenge scale establishes cross-validation, convergent validity, discriminant validity, reliability, and predictive validity. A total of 238 responses is quantitatively analyzed by using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. In the results of Study 2, the perceived challenge scale is found to consist of a total of 16 items reflecting three dimensions: E-commerce Challenge (corresponding to Previous Experience reported in Study 1), Retailer Challenge (corresponding to Website Functionality), and Product Challenge (corresponding to Product Knowledge); all Product Availability items have been eliminated through the item refinement process. Specifically, E-commerce Challenge and Retailer Challenge are found to predict flow, supporting flow theory, while Product Challenge fails to lead to flow significantly. Implications, limitations, and suggestions for future studies are also discussed.

본 연구에서는 온라인 쇼핑몰 상황에서 이전사업경험, 제품속성과 온라인 고객 의견이 신제품 매출성과에 미친 영향을 살펴보았다. 인터넷 쇼핑몰에서 제품 성과에 대한 연 구들은 선진국 온라인 쇼핑몰을 중심으로 고객들의 구전효과에 초점을 두고 연구를 진행해 왔으며 상대적으로 기업특성이나 제품속성에 대한 연구는 미흡하였다. 본 연구에서는 중국 인터넷 쇼핑몰에서 판매중인 총 407개 TV모델들을 대상으로 기업특성, 제품속성 및 온라인 고객의견이 제품 매출성과에 미친 영향을 살펴보았다. 기업특성에서는 이전TV제조업체들의 제품이 신규 진입기업들의 제품들보다 매출성과가 높았다. 제품속성에서는 경쟁제품 대비 초기 가격수준이 낮을수록 성과가 높으며 가격할인율이 높은 경우에는 오히려 매출성과가 낮았다. 전반적인 제품의 기술경쟁력 수준이 높을수록 판매성과가 높으며 신기능의 특성에 따라 매출성과에 미친 효과는 다르게 나타났다. 제품별 온라인 고객평가 의견수가 많을수록 해당 제품의 매출성과는 높은 것으로 나타난 반면, 온라인 고객평가 점수는 매출성과에 유의 한 영향관계나 나타나지 않았다. 본 연구에서는 온라인 쇼핑몰 상황에서 신제품 매출성과 향 상을 위한 이론적 실무적 의의를 제시하고 향후 연구과제들을 제시하였다.

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.

The purposes of this study is to investigate the attitudes and value of fashion product description and consumer replies used in online shopping malls, and to examine the differences in the perceived reliability(objectivity, expertise, trustworthiness) preference and purchase intention toward the product as determined by the appeal type (evaluation-sentimental vs. factual-information) of the product description, the direction(negative vs. positive) and type(factual vs. evaluative) of consumer replies for the product in online shopping malls. Data was collected from female college students with fashion products purchase experience at online shopping malls by questionnaire survey (N=424) and analyzed by using frequency analysis, t-test and ANOVA. Results showed that consumers respondents tended to read product description and other consumer replies before purchasing, when shopping for fashion products through an on-line shopping mall. They thought that sellers' product description and the consumers' replies were helpful in making their decision; but, they were also skeptical about product description. Respondents showed higher perceived reliability, preference and purchase intention to the factual-information type product description than the evaluation-sentimental type. Positive consumer replies were more effective in yielding higher preferences and purchase intentions. Factual replies tend to yield higher reliability than evaluative replies.

On-line shopping mall has become a powerful marketing tool recently. On-line shopping malls provide information for consumers about goods and influence the decision-making process of purchasers. Therefore many local government made on-line shopping malls for advertising agricultural production in the region. However, in the face of problems related with effectiveness on shopping mall management, most of on-line shopping malls has been managing by private sector actually. This study aims to propose the plans for development of the on-line shopping malls. For this purpose, this study investigated current management status of the shopping malls and conducted case study on-line shopping malls.

Customer sensibility based recommendation agent system was developed to tailor to the customer the suggestion of goods and the description of store catalog in on-line shopping mall. The recommendation agent system composed of five modules and seven servic