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.

In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman’s ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

This study aims to analyze the variations in online clothing purchasing patterns based on demographic attributes and purchasing behavior. The survey subjects comprised individuals in their 10s to 50s who had prior experience with online shopping. The survey was conducted in Gyungnam from May to June 2022. A total of 397 questionnaires were analyzed using the χ2-test statistical method. The analysis of clothing purchase type based on demographic characteristics revealed differences in terms of gender, marital status, age, monthly income, and occupation. Notably, when analyzed by demographic characteristics and clothing purchase types, monthly online purchase frequency displayed significant differences in marital status, age, and occupation. Similarly, monthly purchase amounts through online platforms exhibited significant variations based on marital status, age, monthly income, and occupation. The online fashion platforms, when examined in relation to demographic characteristics and purchase types, showed significant differences across all variables. Clothing purchases by consumers seeking individuality and differentiation exhibited significant differences in age, occupation, and purchase types. Furthermore, the reasons for choosing online platforms for clothing purchases varied significantly based on age and occupation. These findings indicate diverse purchasing behaviors on online platforms influenced by demographic characteristics. These findings can be valuable for effectively segmenting the online fashion market.

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 연구는 생산 가능인구의 세대별 스포츠 용품 온라인 소비성향을 탐색하고, 스포츠 4.0 시장 의 온라인 소비자를 세분화하여 미래의 소비 시장을 예측하기 위한 기초자료를 제공하고자 했다. 따라서 생산 가능인구의 세대별 집단(Y세대 이상, Z세대) 중 스포츠 용품을 소비한 경험자를 대상으로 본 조사를 실시했으며, 총 478명의 자료를 최종 분석에 적용했다. 자료처리는 SPSS statistics(ver. 21.0)으로 빈도분 석, 탐색적 요인분석, 재검사 신뢰도의 상관관계 분석, 신뢰도 분석, 의사결정 나무 분석을 실시했다. 생산 가능인구의 세대별에 따른 스포츠 용품 온라인 소비성향 탐색결과, 여유, 즐거움, 자아 상징, 가격 요인이 높을 경우와 자아 상징, 기능, 환경 친화 요인이 낮을 경우 Z세대 집단으로 분류될 확률이 크게 나타났으 며, 여유 요인이 낮고, 자아 상징 요인이 높을 경우와 즐거운 요인이 낮고, 연대적 소비 요인이 높을 경우 Y세대 이상 집단으로 분류될 확률이 크게 나타났다. 또한 이와 같은 모형의 분류 정확도는 69.7%로 나타 났다.

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.

In order to identify the antecedents of internet purchasing intention toward fashion items, this study examines shopping-related variables as both direct antecedents of internet purchasing intention, and as indirect antecedents of internet purchasing intention through online-related variables. Impulse buying and market mavenism were considered as shopping-related variables, whilst online interaction readiness and online consumer procrastination were considered as online-related variables. It was hypothesized that impulse buying and market mavenism not only directly influence purchasing intention toward fashion items, but also indirectly influence it through online interaction readiness and online consumer procrastination. Data were gathered by surveying university students in Seoul using convenience sampling. A total of 286 questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The factor analysis of market mavenism, impulse buying, and online consumer procrastination revealed one dimension, whilst the factor analysis of online interaction readiness revealed two dimensions: ‘online relationship’ and ‘internet role.’ Tests of the hypothesized path proved that impulse buying indirectly influences internet shopping intention only through online consumer procrastination, whereas market mavenism influences internet shopping intention indirectly through both online interaction readiness and online consumer procrastination. The results will be useful for Internet shopping mall marketers and for future study.

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.

본 연구에서는 소비자 혁신성이 온라인 패션광고의 지속가능성에 대한 평가와 광고제품 구매의도에 미치는 영향 을 분석하였다. 인터넷과 모바일의 온라인 패션광고를 접한 경험이 있는 소비자를 대상으로 설문조사를 실시하였으 며, 최종 573명의 데이터가 분석되었다. 수집된 자료는 요인분석, t 검증, 중회귀분석을 사용하여 분석하였다. 소비자 혁신성 평균값을 중심으로 혁신성이 높은 집단과 낮은 집단을 구분하였다. 연구결과는 다음과 같다. 첫째, 온라인 패션광고의 지속가능성 개념은 광고표현의 객관성, 광고표현의 비유해성, 개인정보의 보호성, 웹이용 비침해성 등 4개 요인의 하위차원으로 구성되었음을 확인하였다. 둘째, 소비자 혁신성이 높은 집단이 낮은 집단에 비해 인터넷 사용시간 뿐만 아니라 온라인 광고경험이 유의하게 높았다. 그리고 소비자 혁신성 높은 집단이 낮은 집단에 비해 온라인 패션광고의 하위 차원 중에서 개인정보 보호성, 웹이용 비침해성, 광고표현 객관성을 유의하게 높게 인식하 고 있었다. 마지막으로, 소비자 혁신성이 높은 집단에서는 광고표현 객관성, 웹이용 비침해성이 광고제품의 구매의도 에 유의한 영향을 미쳤으며, 소비자 혁신성이 낮은 집단에서는 광고표현 객관성, 개인정보 보호성이 광고제품의 구 매의도에 유의한 영향을 미치는 것으로 나타났다.

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.

본 연구는 국제경영과 마케팅 분야의 이론을 기반으로 하여 주요 신흥시장인 중국의 소비자 선호에 대해 이론적으로 고찰하고 실증적으로 검증하였다. 특히 기존 국제경영 분야의 연구에서 중국 소비자의 성향을 단일시하는 경향이 있었던 것과 달리, 본 연구에서는 소비자들의 지역적 특성에 의한 차이가 중국시장에 진입하는 기업들의 성과에 영향을 미치고 더 나아가 향후 전략적 의사결정에 활용될 수 있음을 시사하는 이론적 단초를 제공한다. 이러한 맥락에서, 본 논문은 중국의 자동차 시장을 선정하여 인터넷 포럼에 반영된 소형 자동차에 대한 구매의사가 있는 소비자들의 선호구조를 hedonic/utilitarian, cognitive/experiential, independent/interdependent 로 구분하여 살펴보았다. 내용분석기법 (content analysis) 으로 분석한 결과, 지역에 따라 소비자들의 선호구조와 소비성향에 현저한 차이가 있음을 알 수 있었다. 따라서 본 연구는 외국시장에 진출하는 다국적 기업의 전략수립에 있어서 현지시장과 소비자의 선호구조가 중요한 요인으로 고려되어야 함을 시사한다.

본 연구에서는 현재 한국 사회에서 가장 대표적인 디지털 컨텐츠 제품으로 등장한 온라인 게임 중 물리적으로 유사한 특성을 지니고 있지만 전혀 다른 형태의 세계로 발전해간 두 개의 제품, 리니지와 에버퀘스트를 대상으로 소비자의 게임 인식과 소비 행위에 따라 게임의 성격이 어떻게 다르게 규정되고, 그리고 소비자의 행동 특성이 특정 제품의 성격을 어떻게 변화시키는지를 탐색하였다. 첫째로 각각의 게임에 대한 소비자의 인식의 차이를 알아보기 위해, 게임의 매력과 만족을 주는 주된 활동, 친구관계, 캐릭터의 선택과 육성의 측면에서 비교해 본 결과, 리니지 게이머들은 리니지 세계를 현실과 유사한 가치와 의미를 지닌 새로운 생활공간으로 인식하고 있는 반면, 에버퀘스트 게이머들은 에버퀘스트 세계를 게임 자치로서의 기능에 초점을 둔 환타지 세계로 인식하고 있었다. 또한 게임 인식에 따른 게임 소비 행동을 게임 속 공동체 활동과 연애와 같은 사적인 관계의 측면에서 비교해본 결과, 구체적인 게임 소비 행동에서 차이가 나는 것으로 나타났다. 이러한 결과는 온라인 게임과 같은 사이버 공간의 가상의 디지털 이미지 또는 컨텐츠 제품들의 경우, 소비자가 지닌 경험이나 가치에 따라 제품에 대한 인식이 달라질 수 있으며, 이런 인식의 차이는 각각의 소비자들이 동일한 제품도 다르게 소비할 수 있음을 시사한다. 즉 디지털 이미지 또는 컨텐츠 제품들의 가치와 의미는 소비자에 의해 결정된다는 것을 시사한다고 할 수 있다.