• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.296-304
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• 2019

The Amazon Go was the catalyst of O4O era. O4O is an advanced business model from O2O, which is the integration of offline service to online, especially through smart phone network. We also find the O2O strategy of digital contents companies such as Kakao and Line. This study examined the relation between online character experience and offline purchasing intention on related character products. The SEM was designed on the former study that based on the theory of user experience and brand attitude. The result of this study shows that the users' online experience have influence on the purchasing intention of offline related products and there exist the mediating routes of satisfaction of user experience, brand preference and brand reliability. There are no statistical support to the relation between satisfaction of user experience and purchasing intention. These points illustrate what marketers better to focus on transmedia strategies.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.562-571
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• 2021

This study has verified the consumer effectiveness market influence and relationship with cosmetic purchasing behavior through a covariance model. A female consumer in her 20s or older who had purchased eco cosmetics within the last six months and 300 copies were used for final analysis through panels of online professional research institutes from May 17 to May 30, 2020. As a result of the analysis, functional value, social value, and green consumption value were derived from the consumption value of eco cosmetics. Social value and green consumption value have been shown to have significant impact on consumer effectiveness and market influence but functional value relationships have not been identified. In addition, consumer effectiveness and market influence were found to promote eco cosmetics purchase behavior. Through this study we have identified the importance of perceived environmental issues (consumer effectiveness and market influence) in purchasing eco cosmetics and hope that they will be used as useful data for developing eco products and establishing marketing strategies based on understanding of consumers.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.13-26
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• 2006

In this research, we develope a procedure for detecting a random non-stationarity to the individual's purchasing rate in a stationary NED model. On this purpose, we derive the likelihood ratio statistic for a testing null and alternative hypotheses defined as whether there is no significant structural change in a stationary NED model or any. Where the structural change comes from a random non-stationarity(marketing mix activities or seasonality, for example) to the individual's purchasing rate. We also apply the developed method to a panel data for a frequently purchased good. This research could be a solution to include the non-stationarity in a stationary NED model. We also expect that the developed model could give a signal for an early detection of significant changes in marketing environment, and a mean for a measurement of the effects of marketing mix activities.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.121-131
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• 2018

The purpose of this study is to analyze whether the cosmetic interest of middle school female students(n=126) is related to purchase satisfaction by using purchase behavior and informatization level as control variables. Based on the research model, three hypotheses were set and statistical tests were conducted. The results of this study are as follows. First, middle school female students used cosmetics from elementary school and cosmetics education was requested from elementary school. Therefore proper early education on cosmetic use is needed. Second, the degree of interest and purchasing behavior of cosmetics was positively correlated with the purchase satisfaction of cosmetics. Third, the purchasing behavior of cosmetics was found to have a more effect on purchase satisfaction than the cosmetics interest. Especially, 'cosmetics purchase behavior' had a moderating effect on purchase satisfaction. Fourth, there was no difference in the average among the grades about cosmetics category(cosmetic interest, purchase behavior, informatization level, purchase satisfaction). This study needs to pay more attention to cosmetics purchasing behavior, which has the greatest effect on the satisfaction of cosmetics purchasing among middle school girls, and suggests that further studies will be continued to expand the range and ages in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.6
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• pp.907-917
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• 2000

Although interest in the potential and actual usage of the Internet as a transaction medium is increasing, the market for fashion merchandise on the Internet in Korea has yet to take off. As the Internet environment is expected to bring about a transformation of conventional consumer buying behavior, the purpose of this exploratory research is to investigate the buying behavior of fashion products on the Internet to identify relevant concepts and generate hypotheses for further empirical research. The research methods selected for the study were observation and in-depth interview. Twelve subjects who had purchased fashion products on the Internet were selected and interviewed. Those who could not participate in face-to-face in-depth interviews because of the geographic locations were interviewed on-line. The results are as follows: First, subjects went through the stages of shopping motivation stage, site choice behavior stage, in-site behavior stage, and postpurchase behavior stage. Second, a model was extracted for each shopping stage, and a final model was completed based on comparisons with the participants processes. The information content of each phase was discussed. Finally, each participant was classified using their purchasing process, revealing six possible mixed usage patterns of the Internet marketing system and the traditional marketing system.

• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.259-270
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• 2010

The electronic commerce of agricultural products provides benefits both to the farmers and the consumers because of direct transaction between producers and consumers. This study analyses the factors affecting consumer's purchase intention that are using electronic commerce. And the purpose of this study is to contribute to increasing the farmer's income while operating electronic commerce by applying the results of this analysis. Consumer's purchasing factors in electronic commerce were obtained through literature reviews. The research model is established with the factors and analyses through the structural equation model. The results are as following; the first is how the quality of agricultural products affects positively consumer's satisfaction and trust. When sufficient information about the seller and the products are provided in the shopping mall site there are positive effects on the consumer's satisfaction and trust. The factors of convenience like purchasing time, saving, delivery convenience affect positively consumer's satisfaction. However, the relationship with trust enhancement could not be confirmed. In addition, hypotheses of positive relationships between economic feasibility factors like low price, satisfaction and trust, were rejected. Finally, consumer's satisfaction affects trust, and both the consumer's satisfaction and trust affects positively the purchase intention. In summary, in the electronic commerce of agricultural products, consumers might use electronic commerce as they purchase the reliable high quality products directly from farmers rather than be affected by economic feasibility and convenience factors.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.436-442
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• 2013

Recently, online environment is actively used so it will be needed to identify the factors influencing satisfaction for continuous success. In this paper, we explain the users' satisfaction of online purchasing IT and verify them through the empirical analysis. We select basic variables from TAM (Technology Acceptance Model) and add specific variables from former research about user's trait. We chose satisfaction, perceived easiness, perceived usefulness, regret and maximizing tendency. Data collected from 150 user who had prior experiences with online purchasing IT were empirically tested against the research model using partial least square (PLS). The results show that perceived easiness, perceived usefulness and regret are significantly related to satisfaction and maximizing tendency has positive impact on perceived easiness, perceived usefulness and regret significantly.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.1
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• pp.1-17
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• 2008

Market segmentation is a key strategic factor in increasing the expected profits, especially in the practice of revenue management. A manufacturing firm should manage both manufacturing quantities and pricing decisions over its segmented markets to maximize the expected profits, setting different price for each different segment. Also, market segments should be kept separate in order to prevent demand leakages between different market segments. In fact, even though the markets for different products are firmly segmented, it is not easy to keep separate segmentation because many products might be substitutable by customer buying behavior. That is, customers respond to price changes by purchasing other market's products instead of purchasing the originally requested products, which causes demand substitution effect ; This kind of substitution is referred to as price-driven substitution. Therefore, decisions on optimal prices should take into account the differences in customers' valuation of the different products. We consider a deterministic model for deciding optimal prices in the presence of price-driven substitution, and we compare both symmetrical-and asymmetrical-type demand substitutions between two segmented markets. The objective of this study is to develop analytical and numerical models to examine the impact of price-driven substitution on the optimal price levels and the total expected profits.

• Journal of Agricultural Extension & Community Development
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• v.23 no.1
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• pp.27-37
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• 2016

This paper estimated the demand function of the cuts of pork by using the consumer panel and the weather data from the Korea Meteorological Administration with a log-log model and AIDS model. The results show that the price elasticity of demand for cuts of pork is high in the sequence of arm shoulder, leg, special cuts, tenderloin, blade shoulder. In contrast, spare rib, belly and loin are classified as low price elasticity of demand. The income elasticities of demand for leg and blade shoulder are 11% and 7.6% respectively. The loin is classified as inferior goods, because demand decreases when income increases. The results also demonstrate show that the demand increases highly in the sequence of loin, arm shoulder, spare rib, belly if housewife is older, and the demand of belly increases when family number increases. Belly substitutes every cut except spare rib, and tenderloin substitutes special cuts. Spare rib, on the other hand, does not substitute other cuts. In addition, job status, family member, husband job, purchasing place, consumer characteristic, eating-out times, purchasing time, and weather are statistically significant.

• Journal of the Korea Society of Computer and Information
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• v.10 no.2 s.34
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• pp.199-204
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• 2005

Despite the growth of research interest into electronic commerce, there is still little information available on the ways in which an electronic commerce can be successfully developed. This study reports a set of success factors for electronic commerce, specifically some important implications for managers of internet shopping mall area in Korea. In this study it is found that trust on shopping mall and delivery are very important to increase purchase intention of customer. In addition, the result of this study shows that price and ease of use and loading time and error tolerance are very important to increase purchase intention.