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.

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.

This paper investigates a theoretical and experimental evidence for a niche strategy for small and medium online shopping malls to survive against large famous shopping malls dominating the E-commerce market. The present study explored both theoretically and empirically how consumers’ preferences for alternatives in online shopping context are affected by their construal level and concentrated its efforts on the verification of the phenomenon under various frames and regarding various categories(Liberman and Trope 1998; Liberman, Trope, and Stephan 2007, Liberman Trope, and Wakslak 2007). For this, this 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 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 online shopping malls to target high-construal segmentation.

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.

인터넷 쇼핑몰이 활성화되면서 소비자들은 이전보다 많은 상품 선택 기회를 갖게 되었다. 이러한 변화는 소비자의 권익 보호 차원에서 일면 긍정적이지만, 상품 구매를 위해 소비자가 한꺼번에 많은 대안들의 평가를 해야 한다는 점에서는 부정적이라고 할 수 있다. 특히 인터넷 쇼핑몰은 거래가 대면하지 않고 일어난다는 속성을 가지고 있어, 고객의 상품구매 과정을 지원해 줄 기능 마련이 시급하다. 본 연구에서는 이러한 문제의 효과적인 해결을 위해, 다기준 의사결정기법(Multicriteria decision making) 중 하나인 PROMETHEEⅡ(Preference Ranking Organization METHod Enrichment Evaluation)를 사용하여 구매고객의 구매기준에 따른 상품들의 순위를 제공하는 웹 어플리케이션을 제시하고자 한다.

Purpose: The purpose of this study is to understand the effect of the unique product recommendation system on customer satisfaction. Research design, data and methodology: The survey method used the self-recording way in which the respondents selected for the study and distributed 300 questionnaires, and with due personal care, researchers collected all the distributed questionnaires. Results: The result implies that the characteristics of the product recommendation system should be more secure and developed. Conclusions: The aspects of the product recommendation system were selected as factors of price fairness, accuracy, and quality through previous studies, and the empirical analysis of the effect of the characteristics of the product recommendation system on customer satisfaction was summarized as follows. Among the attributes of the product recommendation system, the attributes of price fairness, accuracy, and quality affect customer satisfaction. Among them, the beta value of quality was the highest, and the effect of quality was the largest among the three factors. Based on the results of the study, the implications for the characteristics of the product recommendation system are summarized as follows. The aspects of the product recommendation system have a positive effect on customer satisfaction, so it is necessary to fill the needs of consumers based on the survey focused on quality

본 연구는 국내 인터넷 쇼핑몰 9사를 대상으로 이에 해당하는 각 사이트의 색채(주조색상, 보조색상, 강조색상)를 분석하고 설문조사를 통해 소비자의 긍정적 반응과 부정적 반응을 탐색함으로써 이에 영향을 주는 색채들을 파악해보는데 그 목적이 있다. 주요 연구 결과는 다음과 같다. 첫째, 조사 대상자 3명과 함께 인터넷 쇼핑몰 사이트의 시각요소(레이아웃, 문자, 색상, 이미지 등) 중, 가변성(可變性) 요소를 제외하고, 불변성(不變性) 요소에 포함된 레이아웃과 색상을 분석한 결과를 통해 레이아웃의 형태는 5가지 영역으로 분리되어 유사한 위치에 배치되어 있음을 검증한다. 둘째, 국내 인터넷 쇼핑몰 9사의 사이트 분석 결과, 인터파크를 제외한 주조색상은 흰색이며, 보조색상은 회색계열임을 파악한다. 강조색상은 배색에 포인트를 주는 색으로 면적에 강하게 작용해야지만 전반적으로 약하게 드러나고 있다. 그나마 강조색상이 빨간색으로 드러난 인터넷 쇼핑몰 사례는 인터파크와 11번가이다. 셋째, 설문조사를 통해 사이트에 대한 소비자의 긍정적 반응과 부정적 반응을 살펴본 결과, 국내 인터넷 쇼핑몰 9사의 사이트는 모두 부정적 반응인 답답함(복잡함)과 피로감에서 높게 나타났다. 국내 인터넷 쇼핑몰 9사는 가변성 요소를 포함하여 필요 이상으로 다양한 색상을 적용하고 있으며, 복잡한 인상을 주고 있다. 이는 체계적인 색채마케팅이 이루어지지 않고 있음을 검증한다. 그나마 강조색상이 빨간색인 경우, 긍정적 반응인 온도감(안전감), 흥미도, 집중도에서 높게 나타났다.