• Korea Trade Review
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• v.46 no.6
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• pp.163-190
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• 2021

The paper studies the impulse buying behavior of Chinese consumers during the online shopping festivals of the specific situations and their influencing factors with empirical analysis. We carried out an empirical analysis on 302 Chinese consumers with shopping experience in the online shopping festival. The study result shows that (1) marketing stimulation, preferential promotion and features of consumers have a significant positive influence on the impulse buying behavior; while the freight reduction has no significant influence on impulse buying behavior; (2) the perceived value has a significant positive influence on the Chinese consumers to have impulse buying behavior; (3) perceived value works as an in the relationship between the marketing stimulation, preferential promotion and features of consumers and the impulse buying behavior, but it has no meditating role between the freight reduction and the impulse buying behavior.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.166-171
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• 2024

Recently, there has been an increasing trend in the role of social media in tourism marketing. We analyze changes in tourism marketing trends using tourism marketing keywords through social media networks. The aim is to understand marketing trends based on the analyzed data and effectively create, maintain, and manage customers, as well as efficiently supply tourism products. Data was collected using web data from platforms such as Naver, Google, and Daum through TexTom. The data collection period was set for one year, from December 1, 2022, to December 1, 2023. The collected data, after undergoing refinement, was analyzed as keyword networks based on frequency analysis results. Network visualization and CONCOR analysis were conducted using the Ucinet program. The top words in frequency were 'tourists,' 'promotion,' 'travel,' and 'research.' Clusters were categorized into four: tourism field, tourism products, marketing, and motivation for visits. Through this, it was confirmed that tourism marketing is being conducted in various tourism sectors such as MICE, medical tourism, and conventions. Utilizing digital marketing via online platforms, tourism products are promoted to tourists, and unique tourism products are developed to increase city branding and tourism demand through integrated tourism content. We identify trends in tourism marketing, providing tourists with a positive image and contributing to the activation of local tourism.

• The Journal of Fisheries Business Administration
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• v.30 no.1
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• pp.31-50
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• 1999

The purpose of this paper is to offer policies or laws governing the future of Korean seafood markets in view of societal marketing concept. The environment surrounding those markets is changing quickly and constantly. The proposals in this paper are meant to help the Korean seafood market coping with this swiftly changing environment. This paper sorts this changing environment in terms of institutional side and secio-economical side. The institutional side involves the enforcement of international and domestic seafood trade standards, the increase of seafood importation, the adoption of optional seafood sales system, the openness of distribution market, and the adoption of TAC system. The secio-economical side involves the development of telecommunication and transportation, and the changing of seafood consumption pattern. The forecast about the future of seafood market could be classified into three fields, that is, the production field, the distribution field, and the consumption field of seafood. In the production field of seafood, the stabilization of supply of seafood and the production management oriented seafood market could be forecasted. In the distribution field, the formulating of enforced trade standards, the dispersion of marketing function among fisher, wholesaler and retailer, the development of marketing skills, and the promotion of marketing information system could be forecasted. Finally, in consumption field, the promotion of standardization and diversification, the appearance of intellectual consumers could be forecasted. This paper seeks to offer policies or laws fur the three categories of the seafood market-the government, the fisher, and the distributor-coping with the changing environment on the above three fields, thereby benefiting the consumer's long-term welfare. For the government, this paper suggests the construction of a Seafood Transaction Information Infrastructure, a Seafood Dealer License System, and a Seafood Safety Security System. For the fishers, this paper proposes an Eco-labelling System, a Sustainable Production System, and a Real Naming System in dealing seafood. Finally, for the distributors, this paper offers a Seafood Production Controlling System, a Nature-friendly Marketing System, and a Consumer-oriented Marketing System.

• Industry Promotion Research
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• v.7 no.3
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• pp.9-16
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• 2022

In the midst of increasing interest in the environmental responsibility of companies, this study investigates how eco-friendly activities affect the creation of management performance. To this end, the effect of companies' green marketing on consumers' word-of-mouth intention, the mediating effect of brand reliability, and the moderating effect of consumers' pro-environmental behavior were verified. The results of the collected data analysis are as follows. First, companies' green marketing has a positive (+) effect on consumers' word-of-mouth intention. Second, brand reliability takes a positive (+) mediating role in the relationship between companies' green marketing and consumers' word-of-mouth intention. Third, consumers' pro-environment behavior has a moderating role between Brand Reliability and their word-of-mouth intention. Therefore, companies' eco-friendly strategies and their implementation will help enhance both brand reliability and consumers' word-of-mouth intention. By revealing the effect of companies' eco-friendly strategies and their implementation on brand reliability and consumers' word-of-mouth intention it is meaningful to analyze the relationship between green marketing and the possibility of consumers' spontaneous word-of-mouth intention. The results suggest to companies that it is necessary to establish an eco-friendly marketing strategy for sustainable growth.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.59-73
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• 2007

The purpose of this study is to find out the promotion methods for successful management of 'the fashion saho internet shopping mall' with a small capital. This study analyze the research reports, the news items, the documents on the internet shopping mall and data on promotion method which are offered by the hosting companies of the internet shopping mall like 'Cafe 24', 'Make shop', 'Whoismall' and the promotion consulting companies like 'Whoisad', 'Naver keyword shop'. And also analyze the data that interviewed the administrator of internet shopping mall and directly observed the famous internet shopping mall sites. Generally speaking, the promotion mix, marketing communication program can classify 'advertisement', 'publicity', 'personal selling', and 'sales promotion'. This study analyze the research materials on the basis of advertisement, publicity, personal selling, and sales promotion. The result are as follows. 1. The promotion methods at the stage of information the shopping mall site to the consumer are advertisement, and publicity. ${\bigcirc}$ The methods of advertisement are 'searching engine registration', 'advertisement of key word', 'advertisement of overture', 'advertisement of banner', 'advertisement cooperation marketing', 'advertisement of e-mail'. ${\bigcirc}$ The methods of publicity are using 'cafe', 'blog', 'Naver information site', 'community bulletin board', 'the fashion magazine or a press report' and 'cosponsorship'. 2. The main promotion methods at the stage of inducing the purchase are 'personal selling', and various 'sales promotion'. ${\bigcirc}$ 'Personal selling' at the shopping mall have an effect on the communication at bulletin board over the internet and the telephone. ${\bigcirc}$ 'Sales promotion' are attempted by 'VMD', 'deposit system', 'sale', etc.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.393-410
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• 2000

For the development of chinaware having korea culture, using marketing survey and questionnaire to analysis of the preference and attitude of customer, and expends marketing share by market segmentation and price differentiation. This study is present to marketing strategy by making the plan of sales promotion for the development of industry chinaware of Yeoju and Icheon area.

• Korean Journal of Agricultural Science
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• v.39 no.1
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• pp.43-51
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• 2012

Hanwoo, Korean cattle, is traditionally an important livestock to farmers and also important meat to consumers. Recently, to make more efficient production system and provide cheaper and high-quality hanwoo meat, the scale-up via brand is emphasized. However, the price of hanwoo is getting higher and the price increase is considered to occur due to marketing margins in the distribution process. In this study, factors affecting the hanwoo marketing margin are analyzed using 2004-2009 monthly data. In the Cochrane-Orcutt estimation of marketing margin, hanwoo production, other domestic production and import, income, output index, market share of major retailers, and market share of hanwoo brands shows statistical significance in the result. The results shows basic factors of the marketing margins to hanwoo and gives some implications to the management system of hanwoo brand like a sophisticated market segmentation and a differentiated promotion.

• Journal of the Korea society of information convergence
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• v.7 no.2
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• pp.13-23
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• 2014

Recently korea society is very various. Because astounding progress of information- communications sectors is one of the most important tools is Marketing Mix. Ultimate aim of Marketingis to create true value, interact with customers and have effects with interests group. Therefore this study want to be helpful in Future research directions by considering Marketing Trend and Lifestyle.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.5
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• pp.683-694
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• 2015

This study defines the concept of triple media and examines various marketing media that influence a consumer's purchase of outdoor fashion brands. We explore the effects of gender and age on information searches related to outdoor fashion brands and purchase criteria related to outdoor clothing. A survey of consumers who visited stores was conducted. We targeted consumers between the ages of 15 and 50 and analyzed 764 questionnaires. The results show that triple media involve eight factors: five factors (printed ads or radio ads, campaign ads, Internet ads, TV ads, and store ads) in paid media, one factor (direct marketing) in owned media, and two factors (channels of social network services, channels of direct promotion) in earned media. Further, the evaluation/appraisal criteria of outdoor clothing consist of four attributes (practicality, promotional activities, product power, and customer service). The teenager group showed significantly low usage of campaign ads, direct marketing, and direct promotion, while the use of Internet ads is particularly high among teenagers compared to other age groups. Moreover, teenagers are least likely to rely on practicality when evaluating clothing and are most likely to value product power. Additionally, women show significantly high usage of direct marketing. In terms of the clothing appraisal criteria, women assign higher value to practicality and promotional factors than men. The theoretical and managerial implications of the findings are discussed.