• Information Systems Review
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• v.21 no.4
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• pp.175-195
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• 2019

This study conducted both big data and netnography analysis to analyze consumer needs and behaviors of online consumer community. Big data analysis is easy to identify correlations, but causality is difficult to identify. To overcome this limitation, we used netnography analysis together. The netnography methodology is excellent for context grasping. However, there is a limit in that it is time and costly to analyze a large amount of data accumulated for a long time. Therefore, in this study, we searched for patterns of overall data through big data analysis and discovered outliers that require netnography analysis, and then performed netnography analysis only before and after outliers. As a result of analysis, the cause of the phenomenon shown through big data analysis could be explained through netnography analysis. In addition, it was able to identify the internal structural changes of the community, which are not easily revealed by big data analysis. Therefore, this study was able to effectively explain much of online consumer behavior that was difficult to understand as well as contextual semantics from the unstructured data missed by big data. The big data-netnography integrated model proposed in this study can be used as a good tool to discover new consumer needs in the online environment.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.443-448
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• 2020

The purpose of research is identifying visual factors affecting purchase of convenient store packed-meals through mobile applications. Previous studies have not covered mobile applications on purchase of convenient store packed-meals and this inspired the research topic. Document analysis and online survey are mainly implemented and 4 visual factors; typography, product image, main color, brand logo have been set as a research variables. It is revealed that consumers recognize product image prior to the rest and their purchase intentions are most significantly affected by product image. In conclusion, the product image should encourage consumers to have expectation on packed-meal and need to deliver credibility at the same time. Hence, the application should be designed to solely spotlight product image to lead consumer's concentration on it. The research can be further expanded by including non-visual factors as its variables or increasing scale of survey samples.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.45-54
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• 2008

As mobile Web technology becomes more increasingly applicable. the mobile contents market. especially the music downloading for mobile phones, has recorded remarkable growth. In spite of this rapid growth, customers experience high levels of frustration in the process of searching for desired music contents. It affects to a re-purchasing rate of customers and also. music mubile content providers experience a decrease in the benefit. Therefore, in aspects of a customer relationship management (CRM), a new way to increase a benefit by providing a convenient shopping environment to mobile customers is necessary. As an solution for this situation, we propose a new music recommender system to enhance the customers' search efficiency by combining collaborative filtering with mobile web mining and ordinal scale based customer preferences. Some experiments are also performed to verify that our proposed system is more effective than the current recommender systems in the mobile Web.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.5
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• pp.490-499
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• 2016

In this study, the marine ecological impacts of dephosphorized slag and steel slag on the initial life cycle of the rotifer Brachionus plicatilis and benthic copepod Tigriopus japonicus (in marine trophic structure as a first consumer) exposure to slag extracts have been considered using a marine ecotoxicological assessment. In the results of a screen test on slag extracts, the pH of an undiluted solution was measured to have high alkalinity (pH 8.89-12.16), but a toxic reaction to this undiluted solution before and after aging was divided according to test species. For non-aged slag, the toxic effect ($LC_{50}$) of neonate on B. plicatilis was seen to be severe with dephosphorized slag (20.8 %) than steel slag (63.8 %) with under pH-uncontrolled conditions. The toxic values of dephosphorized and steel slag were estimated to be 35.3 % and 36.0%, respectively, for nauplius with T. japonicus. However, the toxicity of slag extracts before and after aging were different for T. japonicus than for B. plicatilis based on the characteristics of the test materials, with pH-controlled conditions. In conclusion, the results of this study suggest that slag can be relatively stable after aging and may not be likely to influence marine environments, even given repetitive extracting under pH-uncontrolled conditions. This study confirms that a marine ecotoxicological assessment method applied to mechanically activated samples can give an idea of the resistance a marine environment has against the introduction of hazardous materials due to precipitation and weathering.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.146-160
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• 2023

The spread of non-face-to-face services due to the COVID-19 pandemic has brought many changes in consumers' purchasing behavior and attracted much attention to new services. Could trying new services caused by this sudden environmental change alter consumers's choice patterns? This study proposes the research question of whether these new service experiences can change consumers' existing choice behavior, especially for risk-averse consumers who maintain their existing choice behavior or prefer safe alternatives. In this study, we examined whether trying out an unmanned payment services, one of innovative services that emerged after the pandemic crisis, can change the existing choice behavior of risk-averse consumers, i.e., make them more likely to prefer risky alternatives to safe alternatives. To accomplish these research goals, this research conducted one pilot survey and one study. The results of pilot survey showed that the stronger the prevention-focus tendency, the lower the self-efficacy to use the innovative service, with a negative relationship between them. Based on these findings, the study used an experimental method to examine the interaction effects between the use of innovation services and consumers' regulatory focus in a choice behavior and to explore the psychological mechanisms behind them. According to the results, it is found that prevention-focused consumers were more likely to choose risky alternatives and dissimilar extended brands following a trial of an unmanned payment service compared to not using that service. In contrast, promotion-focused consumers did not show different choice patterns regardless of following a trial of an innovative service. Furthermore, these results for prevention-focused consumers confirm the role of self-efficacy as a psychological mechanism. These findings shed light on the role of self-efficacy which has discussed in positive psychology into marketing area. Moreover, practical and academic implications are suggested by the finding that behavioral change occurs in risk-averse consumers, who are known to be hesitant to try new behaviors, indicating market expansion related to potential consumers for the use of the innovation services.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.4
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• pp.461-480
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• 2007

The purpose of this study is to investigated and differences per lifestyle type according to characteristics of participation in eco-tourism by classifying lifestyle types of university student consumers. Also, the influences exerted on characteristics of participation in eco-tourism by the variables of demographical characteristics, lifestyle types and characteristics of eco-tourism were analyzed. The results indicated by the research can be summarized as follows. First, significant differences were found in terms of sociability inclination factors and leisure inclination factors. In other words, the group of people who had participated in eco-tourism were more of sociability-inclined and leisure-inclined lifestyle types than the group of people who had not participated in eco-tourism. Second, logistic analysis on the types of influences exerted on participation in eco-tourism by demographical characteristics, characteristics of eco-tourism and lifestyle types, it was found that significant influences were exerted by such variables of propensity of learning in eco-tourism, leisure inclination factors and school year. Third, regression analysis on the types of influences exerted on intention to participate in eco-tourism by demographical characteristics, characteristics of eco-tourism and lifestyle types, propensity of awareness on eco-tourism, tendency of preferring eco-tourism, sociability inclination factors and progress inclination factors were selected as significant variables.

• Environmental and Resource Economics Review
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• v.25 no.4
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• pp.495-516
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• 2016

This study empirically examines how asymmetric price adjustment of the retail gas price happens differently for various oil products, such as high-grade gasoline, regular gasoline, and diesel, by employing asymmetric error correction model within weekly data set from 2010~2015. Our estimation results show that the price adjustment, across the all oil types, predicated on shifting crude oil and wholesale oil prices is asymmetric. In addition, the duration of asymmetry was shorter in high-grade gasoline case than in other oil types. This took place by rapid price adjustment of high-grade gasoline price when faced with both cost increases and decreases, in comparison with regular gasoline and diesel cases. There results were attributed by characteristics of the consumer group and a high retail-wholesale margin of high-grade gasoline.

• Journal of Animal Environmental Science
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• v.16 no.1
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• pp.29-40
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• 2010

The purpose of the study is to review current studies for economic values on livestock products produced by animal welfare. In order to review the topic, published research papers and reports were reviewed in the world. As the result of the study, the studies for the topic are not researched actively. The main ideas for the studies were consumer survey on meats and egg. Data were questionnaire, Lexis-Nexis databases, consumptions and prices on meats, auction data. Tools for analyses were Random parameters logit and latent class model, WTP analysis, Roterdam model, Pearson's Chi test, Mann-Whitney V-test, Kruskal-Wallis test, structural equation model, regression model, Target-costing, and conjoint analysis.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.26 no.3
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• pp.165-171
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• 2020

Maintaining steady and low temperature during distribution process is a key technique to inhibit microbial growth, one of the most important factors in determining the shelf life. It is possible to provide high-quality fresh products to consumers only when precise and adequate temperature control is guaranteed throughout the entire distribution process for fresh seafood. This study investigated the shelf-life of packaged fresh flounder (Paralichthys Olivaceus) in order to learn the feasibility of super-chilled distribution of fresh seafood. To estimate the shelf life, weight, number of bacteria such as E. coli, pH, sensory test and volatile basic nitrogen were investigated. As a result of the study, the difference in shelf life of 6 days at the super-chilling temperature (0±1℃) and 1 day at the general refrigeration temperature (8±2℃) (based on volatile base nitrogen) showed the market possibility of super-chilling distribution. Through additional empirical studies such as packaging methods and economic feasibility, it is expected to promote commercialization of super-chilling containers and packaging system developed in the future and secure customer reliability.