• Journal of Distribution Science
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• v.15 no.12
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• pp.61-72
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• 2017

Purpose - Despite that the importance of small enterprises' performance in the community has been magnified, no study has been conducted yet on the performance based on consumers directly faced by small enterprises. Accordingly, this study aims to investigate the relationship between the life styles of consumers who use small enterprises' stores by type and the word of mouth(WOM) effects, which are concrete behaviors of consumers. Research design, data, and methodology - The VALS classification system was utilized to classify the types of life styles of consumers who use small enterprises' stores. The consumers were divided into a total of four types. This study was intended to investigate the effects of the types of consumers on the word of mouth(WOM) effects of consumers who use small enterprises' stores along with the effects of consumers' perception of economic situations on their word of mouth(WOM) effects after using small enterprises' stores. Results - The results of the study indicated that among the types of consumers who use small enterprises' stores, the group that pursues faith and the group that pursues knowledge had positive (+) effects on favorable word of mouth(WOM) effects. However, the group that pursues trends and the group that pursues action were shown to have no effect and positive or negative perceptions of economic situations were shown to have no effects of the word of mouth(WOM) effects of users of small enterprises' stores. Conclusions - In this study, as a measure to create small enterprises' performance, word of mouth(WOM) effects on small enterprises' stores according to consumers' consumption behaviors were examined focusing on consumers. Through the study results, the groups of consumers who use small enterprises' stores by type that provide favorable word of mouth(WOM) effects were derived. And This Study aims to investigate the relationship between the four type life styles of consumer who use small enterprises' stores and the word of mouth(WOM) effect. Accordingly This study is significant in that it derived a measure to create small enterprises' performance centering on consumers and that it presented a cornerstone for the establishment of small enterprises at the government level.

• Journal of Distribution Science
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• v.21 no.12
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• pp.59-69
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• 2023

Purpose: Consumers can experience better service for distribution of products with payment technology such as QRIS (Quick Response Code Indonesian Standard) compared to conventional purchase methods. This research aims to determine the experience of QRIS service users in Indonesia. Perceived Usefulness, Ease of Use, and Perceived Security were independent factors. Behavioral Intention to Use is the dependent variable. Furthermore, Word of Mouth Attitude is an intervening variable. Research Design, Data, and Methodology: Involving active QRIS users in a survey-based quantitative study in Indonesia. A survey sample of 400 people was taken from data records of 30.87 million QRIS users in Indonesia. Data were analyzed using SEM-PLS. Results: Show that Perceived Usefulness and Perceived Ease of Use significantly impact Attitudes Word of Mouth, and Behavioral Intention to Use. This research also found that Behavioral Intention to Use does not significantly impact Perceived Security. Conclusion: QRIS, as a revolutionary innovation, offers faster payments than previous methods, with a payment time of no more than one minute. QRIS is seen as valuable, simple, and safe, disseminating information to the public and continuing to use QRIS. The implications of this research are very significant in accelerating the flow of distribution of goods and services and facilitating transactions.

• Phonetics and Speech Sciences
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• v.1 no.1
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• pp.55-62
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• 2009

This paper proposes an improved method to verify a keyword segment that results from a word spotting system. First a baseline word spotting system is implemented. In order to improve performance of the word spotting systems, we use a two-pass structure which consists of a word spotting system and an utterance verification system. Using the basic likelihood ratio test (LRT) based utterance verification system to verify the keywords, there have been certain problems which lead to performance degradation. So, we propose a method which uses phone-level log-likelihood ratios (PLLR) patterns in computing confidence measures for each keyword. The proposed method generates weights according to the PLLR patterns and assigns different weights to each phone in the process of generating confidence measures for the keywords. This proposed method has shown to be more appropriate to word spotting systems and we can achieve improvement in final word spotting accuracy.

• Journal of Korean Medical classics
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• v.32 no.1
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• pp.61-74
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• 2019

Objectives : The purpose of this study is to help select an appropriate word embedding method when analyzing East Asian traditional medicine texts as data. Methods : Based on prescription data that imply traditional methods in traditional East Asian medicine, we have examined 4 count-based word embedding and 2 prediction-based word embedding methods. In order to intuitively compare these word embedding methods, we proposed a "prescription generating game" and compared its results with those from the application of the 6 methods. Results : When the adjacent vectors are extracted, the count-based word embedding method derives the main herbs that are frequently used in conjunction with each other. On the other hand, in the prediction-based word embedding method, the synonyms of the herbs were derived. Conclusions : Counting based word embedding methods seems to be more effective than prediction-based word embedding methods in analyzing the use of domesticated herbs. Among count-based word embedding methods, the TF-vector method tends to exaggerate the frequency effect, and hence the TF-IDF vector or co-word vector may be a more reasonable choice. Also, the t-score vector may be recommended in search for unusual information that could not be found in frequency. On the other hand, prediction-based embedding seems to be effective when deriving the bases of similar meanings in context.

• Journal of Distribution Science
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• v.10 no.11
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• pp.71-77
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• 2012

Purpose - This study examined marketing communication in traditional markets by assessing consumers demonstrating brand loyalty through repeat purchases despite active marketing by competing brands hence, showing that the brand did not lose customers owing to communication. Specifically, this study examined the effects of marketing communication factors in traditional markets upon consumers' store loyalty and to determine consumers' practical and hedonic values, as moderating variables. Moreover, this study determined that both experienced and inexperienced consumers in traditional markets could similarly assess the market and examined the outcome of traditional market development as well as future strategies. Research design, data, methodology - To verify the relationship between marketing communication and store loyalty, and the moderating effects of shopping value, data were collected from 230 consumers in the Gyeonggi Province to test the theoretical model and its hypotheses. Although the field of distribution management typically uses two research methodologies, this study was conducted using empirical methodology. Specifically, analysis of variance and hierarchical regression analysis were used to test the hypotheses. Results - Consumers who had experienced the traditional market placed a greater emphasis on the physical environment or word-of-mouth marketing. Moreover, other factors apart from advertising had a significantly positive influence upon marketing communication sub-factors and store loyalty. Word-of-mouth marketing was found to be more important than other factors, therefore affirmative word-of-mouth marketing was considered important from various viewpoints. The study investigated the moderating effects of hedonic value and practical use value in the relationship between marketing communication sub-factors and store loyalty: The negative influence of publicity, physical environment, and word-of-mouth marketing was considered to be statistically significant. Conclusions - Consumers who made use of the traditional market did not think of the physical environment in an affirmative way, and consumers who did not make use of the traditional market perceived it as having a poor physical environment. However, consumers who engaged in word-of-mouth marketing experienced the traditional market in an affirmative way. Consumers who made use of the traditional market had significantly high hedonic value and/or practical use value, therefore future strategies should encourage consumers to make more use of the traditional market. Consumers who had experienced the traditional market demonstrated strong market loyalty. For consumers who did not make use of the traditional market, marketing communication was likely to influence store loyalty in a different manner from a practical perspective. In other words, marketing communication was needed to develop the traditional market, and consumers who did not make use of the traditional market should be given the opportunity to do so. Consumers having low hedonic values experienced high publicity to have high store loyalty, and consumers who experienced good facilities of the traditional market had high store loyalty (Nam & Jun, 2011). Consumers with low hedonic values as well as those with high hedonic values on the traditional market could have high store loyalty through affirmative word-of-mouth marketing.Therefore, various types of events and strategies were needed to enable consumers to experience the traditional market in an affirmative way.

• The Korean Journal of Food And Nutrition
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• v.29 no.6
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• pp.1050-1057
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• 2016

SNS (Social network service) characteristics are perceived to simplify use. We carried out empirical studies on these parameters to observe the impact on the image of catering SNS online by word-of-mouth. The subjects of the study were as follows: 32.3% (392 persons) 19 years old, 67.7% (821 persons) over 19 years, 51.0% (619 persons) in their 20s, 22.1% (268 persons) in their 30s, 17.6% in their 50s, and 9.3% (112 persons) over 50 years. After verifying the hypothesis proposed that SNS characteristics perceived the ease of use, the significant factor identified in usability were connectivity Speed (${\beta}=0.213$), playfulness (${\beta}=0.246$), information (${\beta}=0.115$), and reciprocity (${\beta}=0.357$). Dual reciprocity had the most impact. It was observed that a longer impact of these significant factors improved the feel and fun of use. If SNS companies cater to, quick and easy, diverse, reliable and latest information, they can increase the ease of use, and availability, depending on the goals. Also, significant factors in the SNS features and online word of mouth was playfulness (${\beta}=0.312$), information (${\beta}=0.207$), reciprocity (${\beta}=0.066$) and perceived ease of use, and usefulness (${\beta}=0.293$), double playfulness had the maximum impact. These features provided more fun, reliable information, and could quickly deliver the latest information. The more the perceived usefulness, and ease of use, higher was the online word-of-mouth effect. SNS usage characteristics of connectivity Speed did not show any statistical significance in online word-of-mouth. Thus, catering businesses need to find ways to increase the ease of use, make the usefulness multifaceted, constantly checking the catering information on the SNS and ensuring to get the latest information is from diverse and reliable sources. This would increase the fun for the customer making the SNS to actively be utilized as a marketing tool.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.250-259
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• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.2
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• pp.172-178
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• 2015

Constructing a bilingual multi-word lexicon is confronted with many difficulties such as an absence of a commonly accepted gold-standard dataset. Besides, in fact, there is no everybody's definition of what a multi-word unit is. In considering these problems, this paper evaluates and analyzes the context vector approach which is one of a novel alignment method of constructing bilingual lexicons from parallel corpora, by comparing with one of general methods. The approach builds context vectors for both source and target single-word units from two parallel corpora. To adapt the approach to multi-word units, we identify all multi-word candidates (namely noun phrases in this work) first, and then concatenate them into single-word units. As a result, therefore, we can use the context vector approach to satisfy our need for multi-word units. In our experimental results, the context vector approach has shown stronger performance over the other approach. The contribution of the paper is analyzing the various types of errors for the experimental results. For the future works, we will study the similarity measure that not only covers a multi-word unit itself but also covers its constituents.

• Journal of KIISE
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• v.43 no.6
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• pp.678-685
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• 2016

Named Entity Recognition and Classification (NERC) is a task for recognition and classification of named entities such as a person's name, location, and organization. There have been various studies carried out on Korean NERC, but they have some problems, for example lacking some features as compared with English NERC. In this paper, we propose a method that uses word embedding as features for Korean NERC. We generate a word vector using a Continuous-Bag-of-Word (CBOW) model from POS-tagged corpus, and a word cluster symbol using a K-means algorithm from a word vector. We use the word vector and word cluster symbol as word embedding features in Conditional Random Fields (CRFs). From the result of the experiment, performance improved 1.17%, 0.61% and 1.19% respectively for TV domain, Sports domain and IT domain over the baseline system. Showing better performance than other NERC systems, we demonstrate the effectiveness and efficiency of the proposed method.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.2
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• pp.77-87
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• 2004

The purpose of this study was to analize the types of symbol concretely, one of a constituent elements of brand, using in Apparel Brands and to examine the meaning of symbol in the internet site of each brand and to evaluate the symbols in the aesthetic dimension and to suggest a basic data of the branding strategy for marketers. For this purpose, 41 Apparel Brands were selected from fashion magazine and the types of symbol used in the Apparel Brands were classified into three types. According to the formative characters of symbol, there were word symbol, descriptive symbol and abstractive symbol. The results of the study were following: the order was the descriptive symbol, word symbol, and abstractive symbol. The percentages of using symbols were descriptive symbol(61%), word symbol(29%), and abstractive symbol(l0%). The Apparel Brands used the most frequently the descriptive symbol that represents or symbolizes a concrete object to represent the image of brand. The abstractive symbol that use a graphic style or geometrical form to deliver the character of brand was used lowest. From this results, we could find that the descriptive symbol was used to deliver/notify the character or image of company's own brand easy and quickly to consumers in symbolic meaning making use of a concrete object such as a animal, plant, specific object or fictitious person, etc than word or abstractive symbol.