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.

In the rapidly changing online shopping environment, resulting from the impact of the COVID-19 pandemic, companies are implementing sales promotions, such as offering various discount coupons, to increase consumers' product purchase volume. They are also attracting consumers through low-price appeals, with the expectation of improving sales. However, sales promotions issued by companies have numerous usage conditions, and consumers need to make appropriate efforts to meet the stated conditions. Previous research on promotions and consumer behavior has primarily focused on analyzing monetary promotions (such as full discounts) or non-monetary promotions (such as reward points) individually, with little attention paid to a comparative analysis of the two. Additionally, the type of promoted product can impact consumer behavior.

This study examines the impact of others' reviews (reviews, product ratings) on consumer responses (helpfulness & buying intention) in an online shopping platform. We propose that review features, such as review message construal and review inconsistency between review message valence and rating, determine review credibility as product-related information, which in turn influences helpfulness of review and buying intention toward the product. Specifically, low- level construal review messages will be perceived as more credible than high-level construal review messages, which affect helpfulness and buying intention. In addition, the effect of review message construal will be moderated by review inconsistency. The effect of the review message construal will be enhanced in the condition of review consistency (positive content-high rating & negative content-low rating), but it will be disappeared or attenuated in the condition of inconsistency (positive content-low rating, negative content-high rating).

Online shopping has grown exponentially in the last decade, benefiting both consumers and companies. Among several advantages, online shopping lets consumers compare values and prices from different stores on multiple mobile devices in real time. In addition, for young people, it is a way of expressing their identity and independence.

Social media have emerged as one of the most important tools for firms to engage customers (e.g., Chandrasekaran et al., 2022; Cheng & Edwards, 2015; Lee et al., 2018; Wedel & Kannan, 2016). Within the tourism industry, scholars have investigated the role of social media communication in various contexts, such as online travel information search (Xiang & Gretzel, 2010), sharing travel experiences (So et al., 2018; Wang et al., 2022) and establishing positive customer relationships (Jamshidi et al., 2021). Insights into which social media content makes for generating positive engagement are, however, still largely based on marketers’ intuitions or focusing on message factors of social media posts such as message appeals (e.g., Wang & Lehto, 2020). It also often neglects the importance of the visual component of social media posts, and only a few research have investigated the effects of the image in social media on the travel industry (e.g., Fusté-Forné, 2022). The objective of this research is, therefore, to understand how textual features and image features generate user engagement in social media utilizing cutting-edge transfer learning techniques and to propose how these features should be customized to maximize user engagement for online travel shopping companies. We collect and analyze more than 10,000 Instagram posts from three online travel shopping companies, including Expedia, Priceline, and Kayak. The results from transfer learning algorithms utilizing 24 features, such as the number of people in the image, emotions expressed in the people in the image, hue, and RGB value, successfully predict the level of engagement measured by the number of likes and comments.

Offering a good shopping experience on the web is key for fashion luxury brands. However, it is not a field much analyzed by researchers. This research presents a systematic analysis of the usability of the web and its content in more than 60 fashion luxury e-commerce.

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.

This paper is based on field survey data and applies it to the logistic model to analyze consumers' online shopping intention to buy fresh produce. According to the total effect of online shopping intention, it was revealed that consumers' age, educational level, and monthly household income significantly influence willingness to buy fresh produce online. The product quality, price and brand name were the main factors affecting consumers' willingness to buy fresh produce online. The customer service quality, payment security, and logistics quality significantly also affected consumers' willingness to buy fresh produce online. In conclusion, it is important for vitalizing online sales of fresh produce to ensure the quality, use well-known brand name, and improve logistics service and e-commerce platforms.

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