• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.931-944
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• 2013

With the expansion of EC and the development of culture industry, Web-site shopping of cultural products have become recognized as one of the major purchasing channels for customers, as well as one of the competitive distribution channels for film distributors or theater group. The research is to investigate the impact of information quality and user interface quality on information service satisfaction and online purchasing intention of cultural products. The results of this study are as follows: 1) Both information quality and interface quality have meaningful influence on information service satisfaction and purchase intention. 2) Information service satisfaction gives significant impact on online purchasing intention irrespective of the level of customer involvement. 3) Information quality has a meaningful influence on online purchasing intention in case of high level of customer involvement, while interface quality gives strong impact on online purchasing intention in case of low level of consumer involvement. In conclusion, there is a need to consider the level of customer involvement for building a successful marketing strategy of online purchase sites of cultural products.

• Journal of Convergence Society for SMB
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• v.5 no.2
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• pp.27-32
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• 2015

Recently, service-related products have gained more attention than general products on the existing social commerce sites. Based on the situation, the effect that the service quality of social commerce has on customer satisfaction was analyzed in this study. It is a study that analyzes how much the service quality affects the customer satisfaction after the purchase, targeting consumers who have made purchases of social commerce products. In the case of social commerce, it is well-known that the diversity and convenience of products have a significant effect on customer satisfaction. Social commerce is currently being dumped beyond the 900 sites and dozens of cases of news, real-time searches of popular portal sites appeared not to be bored enough to related sites to drive the popularity coming quickly dug into our everyday lives of human beings. Yet the perception of social commerce seems not properly established because of the new concept was suddenly going to go through penetration without a collective interpretation and acceptance process. Most of the companies that often mimic the syoseol commerce is large, the blame did not depart from the forms of social shopping. We believe that personal and exhibit their skills and talents, and to wonder to see the social rather than the individuals who make unilateral companies.

• Journal of Information Technology Applications and Management
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• v.26 no.4
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• pp.51-69
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• 2019

One of the most considerate phenomena of the era of the Fourth Industrial Revolution is the use of digital devices. Digitalization is rapidly advancing through all areas of industry and life. Customer journey with digitalization is looking totally different from previous customer journey. The research targets were users of fashion, automobiles, cosmetics and online shopping malls. We analyzed 300 people for each valid questionnaire. The results of the study are as follows. First, it has been proven that digital experience affects positive (+) impact on purchasing intention and positive (+) impact on recommending intention and negative impact (-) on switching intent and subsequently affects positive impact (+) to purchase and incase of switching intent, negative impact (-) to purchase. Unlike traditional methods such as SPC(Service Profit Chain), the Digital experience to Purchase process Chain (DPC) has been identified to be suitable in the digital age. Second, the digital satisfied group (5 score-very satisfaction) has shown same result as above. However the digital neutral group (even though 4 score- satisfaction in five-point scale), specially in a highly competitive industry, has different from the satisfied group and 3 score-normal is same as dissatisfied group. It means that this group is that If there is a high level of attractiveness of substitute goods, there is a high possibility of switching them. It has supported Jones and Sasser [1995] that there have been two types of loyalty of true long-term loyalty and what we call false loyalty in the highly competitive industry zone which is commoditization or low differentiation, many substitutes, low cost of switching. Identifying true loyalty and false loyalty is crucial to establishing a customer experience strategy. it is necessary to actively utilize long-term digital experiences strategy to increase the total satisfaction of digital experience through all of customer purchasing journey in order to enhance the digital customer experience. It is difficult to see the effect as a one-time event. It should be scaled over the entire customer purchase process over a long period of time, which can positively affect purchase intention, recommendation intention, and conversion intention. This is also why it is difficult for second-runners to overtake first-runners in a short period.

• Journal of Industrial Convergence
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• v.21 no.8
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• pp.23-33
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• 2023

Consumer review analysis is important for product development, customer satisfaction, competitive advantage, and effective marketing. Increased use of wireless earphones is expected to reach $45.7 billion by 2026 with growth in lifestyle. Therefore, in consideration of the growth and importance of the market, consumer reviews of wireless earphones from Apple and Samsung were analyzed. In this study, 11,320 wireless earphone reviews from Apple and Samsung sold on Coupang were collected to analyze consumers' purchase intentions and analyze consumer satisfaction through analysis of the frequency, sensitivity, and LDA topic model of text mining. As a result of topic modeling, 16 topics were derived and classified into sound quality, connection, shopping mall service, purchase intention, battery, delivery, and price. As a result of brand comparison, Samsung purchased a lot for gift purposes, had a high positive sentiment for price, and Apple had a high positive sentiment for battery, sound quality, connection, service, and delivery. The results of this study can be used as data for related industries as a result of research that can obtain improvements and insights on customer satisfaction, quality and market trends, including manufacturing, retail, marketers, and consumers.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.19-42
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• 2012

Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.547-560
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• 2005

The purpose of this study was to segment Chinese career women by experience in purchasing Korean clothing and to analyze and compare clothing purchasing behavior between the 2 groups and to provide useful information to Korean manufacturers for establishment of marketing strategies for China. The subjects were 602 career women of middle and high class In their 20's and 30's. A total of 602 questionnaires were analyzed by using frequency, mean, Cronbach's $\alpha$, factor analysis, t-test and $X^2$-analysis. The results were as follows: 1. The demographic variables such as an age, residential city, marriage, and total monthly income were proven to be significantly different between the 2 groups except an academic background. 2. The clothing purchase behavior variables such as purchasing motive, using informants, clothing selection standards, store selection standards, purchasing place, satisfaction after purchasing clothes, shopping time, average monthly expenditure on clothing, purchasing frequency of casual wear, purchasing price, and paying method were proven to be significantly different between the 2 groups. However, the clothing purchase behavior variables such as purchasing frequency of formal wear and purchasing price of fur coat and sweater were proven not to be significantly different between the 2 groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.584-598
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• 2018

This study classified respondents by consumption value and analyzed differences in the purchase behavior of men's suits among consumption value groups. Frequency analysis, factor analysis, cluster analysis, and analysis of variance were conducted in order to analyze research problems. Factor analysis results showed that male consumption values included safety-oriented value, individuality-oriented value, others-oriented value, pleasure-oriented value, aesthetic-oriented value, low price-oriented value, community-oriented value, utility-oriented value, innovation-oriented value, and self-expression oriented value. The study divided respondents into personal satisfaction pursuit group, beauty & functionality pursuit group, individuality pursuit group, and others-oriented & low cost preference group according to consumption value. There were significant differences in selection criteria for men's suit (product image, physical properties of product, and brand name), selection reasons of brand (fashion & ostentation, individuality, and refinement), store attributes (store environment/salesperson service, reputation/additional service, and product assortment/shopping convenience).

• Asia pacific journal of information systems
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• v.10 no.3
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• pp.159-180
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• 2000

As the importance of electronic commerce(EC) increases, some people argue that traditional commerce(TC) will ultimately give way to EC in the near future. Regardless of the type of commerce, however, it is the value factors of the customer that would formulate the direction of change in the market. This study investigates the influence of those value factors upon the attitude towards the type commerce and the repurchase intention of products and service. It also addresses the impact of the customer's risk disposition and level of confidence. A number of customer's value factors are hypothesized to affect the attitude, and the attitude in turn is expected to be related to the repurchase intention. Based on two hundred and ninety responses from the computer survey, the hypotheses are tested. The convenience, cost reduction, and information satisfaction factors affect EC attitude and repurchase intention. Similarly, the reliability, personal interaction, and shopping enjoyment factors affect TC attitude and repurchase intention. The comparison between EC and TC factors indicates the significant difference in the time saving factor in favor of EC. The personal characteristics such as risk disposition and level of confidence also influence the attitude and repurchase intention. The implications and limitations of this study are discussed. The value factors identified in this study may serve as important checklists for those firms already in EC and those intending to enter the market.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.1
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• pp.115-128
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• 1995

The purpose of this study was to investigate the role structure of husband and wife on husband's clothing purchase. For the study, a questionnaire was developed to measure the influence structure and clothing evaluative criteria of husband's clothing purchase and psychological and demographic characteristics of husband. The Purchase influence structure can be defined by applying the concept of Wolfe's power pattern to decision making about buying behavior. Influence structure is the pattern in which influence is distributed among family buying center members for each purchasing decision making item. The analysis was conducted on the basis of 310 couples responces. The result of this study ware as follows; 1. The majority of husband's clothing items were an absolute autonomic·decision product Exceptionally underwear was wife-dominated. The purchase influence structure of husband' s clothing purchase varied on stages in the decision making process. Wife was involved considerably in gathering information search and real purchasing stage. 2. According to the degree of husband and wife influence on discussion stage and final decision stage, consumers were categorized into five types. Husband's psychological characteristics such 3s shopping interest, clothing involvement, importance of mutual satisfaction in purchasing and demographic characteristics were significantly different among types.

• Korean Management Science Review
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• v.32 no.4
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• pp.135-153
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• 2015

In this paper, we intend to understand distinguishable SNS technology contributions for B2C commerce. In order to theorize this, we draw upon Technology-to-Performance chain (TPC) theory to develop the model that could explain how the technology value of the SNS could be realizable. For the purpose of capturing SNS technology effect to B2C channel effectiveness, on the basis of TPC theory, personal productivity is selected as a performance variable instead of satisfaction from SNS usage. Accordingly, as the antecedents of personal productivity, two variables of locatability and timeliness are extracted to reflect Task-technology-fit (TTF) dimension of performance precursors. For the utilization dimension of TPC framework, convenience and recreation tendency of the personal traits in shopping are included as the precursors of SNS utilization in the sense of reflecting utilitarian and hedonic value of SNS adoption. Empirical validation is conducted with reference to promotion and sales event on Facebook, which is chosen as the typical SNS based B2C commerce scenario. The data analysis result provide useful insights to further investigate the firm's SNS usage potentials for business applications.