• The Journal of Industrial Distribution & Business
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• v.11 no.2
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• pp.49-59
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• 2020

Purpose: Online and social media and mobile shopping are increasing and companies are required to provide personal information in order to supplement the non-invasive characteristics of the channels. With the increased provision of personal information, consumers' personal and social concerns about the prevention of personal information infringement are also increasing, and in response, personal or opt-in marketing has emerged to compensate for reckless information abuse. Despite the background of this emergence, the existing prior studies are limited to ignoring the negative feelings of consumers in the real world, including only the net function and positive effect of the opt-in mail. Research design, data and methodology: The research framework was intended to utilize the impact of human marketing activities on consumer attitudes combined with positive and negative factors. Factors that positively affect attitudes toward permation marketing were presented, such as informality, and perceived risks were presented as negative impact factors. Also, based on previous prior research, the prior factors of opt-in marketing were to present the effect on purchase intent through the medium of attitude toward opt-in marketing. Results: In this study, we used the framework of a two factor theory to address positive and negative factors as a leading factor in the customer attitude toward opt-in mail advertising, and as a result, functionality and personalization have a positive effect on customer attitude and perceived risk have a negative impact on customer attitude. In addition, it was confirmed that the customer attitude formed this way affects the intention to purchase again. Conclusions: This study suggests that we have demonstrated that marketing, an opt-in marketing that has been recognized as part of marketing that is deployed after obtaining customer consent, has been applied without any other marketing methodology. E-mail advertising at this point also provides practical implications that the system safeguards are in place under an opt-in protocol or system, and that even if an e-mail advertisement is carried out, customers will need to look at the level of awareness about the risks, and suggests that they need to consider the customer's journey that could lead to purchase at the content level.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.4
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• pp.43-58
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• 2017

The purpose of this study was to find the consumer perception and purchasing behaviors of beauty service products based on recent consumer purchasing patterns utilizing social commerce. The research method looked at general characteristics, exploratory factor analysis, reliability T-test, correlation analysis, one way ANOVA, regression analysis of the consumer awareness and purchasing status in the use of beauty social commerce of 228 research subjects in their 20s and 30s residing in Seoul and Gyeonggido. SPSS v. 21.0 was used. The results found the following. First, service quality, interaction, user convenience, and price were set as factors for the validity verification of consumer perception in beauty social commerce. Second, as a result of studying consumer perception regarding beauty social commerce, interaction had the largest correlation while price, service quality, and user convenience followed. As a result of studying the differences according to the general characteristic of gender, user convenience had a larger correlation for female consumers than male consumers. Third, the following was the result of studying purchasing behaviors in beauty social commerce. Among diverse social commerce businesses, Pokemon was the most popular, while among the various coupons available, hair salons were most commonly purchased. The modal value for the number of times consumers used beauty service products was two times a month, and the most popular price ranges were 100,000 KRW or less and 100,000~200,000 KRW. Accordingly, it was observed that social commerce is receiving attention and being considered as the next generation for shopping in the beauty industry. This channel should be well utilized by related industries through the improvement of customer satisfaction, which will lead to repurchases, and consequently result in becoming an actual means for sales in the beauty industry.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.275-281
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• 2012

The aim of this study is to suggest the development direction of future space management. It is not a simple question that why people visit specific place. People visit a place for escape from routine, to learn from other people, spend a time with their friends or lover, to take a rest and get some fresh idea, to relieve stress, and for shopping. It is depend on a various visit motivation with complicated a psychological phenomenon. Visitor participate in choice a specific place by various motivation and purpose. Generally, visitor motivation accepted understanding visitor behavior and process of selected a place. Understanding that why people visit specific place can use a marketing and policy making of visit place so we need to study about visitor motivation. Data were collected through offline surveys from 501 people who have visited four survey place. Empirically analyzed the determinations of visitor motivation and estimate the place by using Ordinal Logit Model.

• Knowledge Management Research
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• v.21 no.1
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• pp.197-210
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• 2020

The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

• Science of Emotion and Sensibility
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• v.17 no.4
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• pp.19-28
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• 2014

The number of people using on-line shopping has rapidly increased over time. In particular, open-market is the most potential on-line market. Since there are too many products in open-market, customers have serious troubles finding products they want. Thus, interface should be improved so that open-market is able to offer products they want effectively. This study analyzed web interface based on main web pages of four major open-market companies in Korea, and performed satisfaction evaluation according to the analyzed factors. As a result, it reveals that what kind of factors the customers prefer and there is a causal relation between the most satisfactory open-market and the preferred factors of the customers.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.129-145
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• 2005

This paper proposes the web information extraction system that extracts the pre-defined information automatically from web documents (i.e, HTML documents) and integrates the extracted information, The system recognizes entities without lables by the probabilistic based entity recognition method and extends the existing domain knowledge semiautomatically by using the extracted data, Moreover, the system extracts the sub-linked information linked to the basic page and integrates the similar results extracted from heterogeneous sources, The experimental result shows that the system extracts the sub-linked information and uses the probabilistic based entity recognition enhances the precision significantly against the system using only the domain knowledge, Moreover, the presented system can the more various information precisely due to applying the system with flexibleness according to domains, Because bath the semiautomatic domain knowledge expansion and the probabilistic based entity recognition improve the quality of the information, the system can increase the degree of user satisfaction at its maximum. Thus, this system can satisfy the intellectual curiosity of users from movie sites, performance sites, and dining room sites, We can construct various comparison shopping mall and contribute the revitalization of e-business.

• Journal of Korea Multimedia Society
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• v.7 no.9
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• pp.1219-1232
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• 2004

Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of catalog image information and contents. As a result, it is required to support semantic-based image retrieval efficiently on such image data. This paper presents a semantic-based image retrieval system, which adopts XML and Fuzzy technology. To support semantic-based retrieval on product catalog images containing multiple objects, we use a multi-level metadata structure which represents the product information and semantics of image data. To enable semantic-based retrieval on such image data, we design a XML database for storing the proposed metadata and study how to apply fuzzy data. This paper proposes a system, generate the fuzzy data automatically to use the image metadata, that can support semantic-based image retrieval by utilizing the generating fuzzy data. Therefore, it will contribute in improving the retrieval correctness and the user's satisfaction on semantic-based e-catalog image retrieval.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.39-57
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• 2012

This study aims to find out the relationship of customer behavioral intention and marketing variables such as service quality and customer satisfaction which are regarded as its determinants. And then this study has suggested what service factors shall be emphasized to induce the latent customers. And it has grouped strategic Schemes on which service variables shall be focused to enhance the existing customer behavioral intentions. This study has found, to the existing customers, only physical environments among 3 dimension components of Service quality significantly affects to the Behavioral intentions. Priorly, marketing efforts, namely, expansion of convenient facilities such as special berth construction is necessary. To the latent customer, service delivery is the most powerful factor to the behavioral intentions. Consequently, frequency of cruise calling, Facilities of shopping and eating, issues and their development of cruise goods and publicity and promotions are needed.

• Korean journal of food and cookery science
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• v.24 no.6
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• pp.771-779
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• 2008

The purpose of the study was assessing Kochujang sauces(BBQ & Chicken) using a Home Use Test(HUT) focused on England food consumer. To achieve of the purpose, 58 England food consumers were selected by CCFRA's customer database. The qualification of the sample was responsible for the households' main grocery shopping, cooking Oriental/ Far Eastern cuisines at home, enjoying hot/spicy chilli based food and would be willing to buy hot chilli based Oriental sauce. 3 times of HUT were accomplished. The test was continued during 3 weeks, and each test was continued during one week. To check the sensory evaluation results on these sauces, 9 point hedonic scale and JAR(Just About Right) were used. The frequency analysis was adopted for the study. The results of a study were as followed. The overall satisfaction(upper 7point) on BBQ sauce was 60%, and the chicken sauce was 55.1%. The sweetness, hot taste, and BBQ aroma were suitable as a upper 40% using JAR scale. On purchase intention, BBQ & Chicken was slightly increased. These sauces were proper lunch & Dinner time. Also, good for dip, stir fry, and marinade. The result of put to use the sauces on food material as followed. BBQ sauce was proper Chicken(45.5%), vegetable(29.9%), and turkey(19%) in the order named. In case of the chicken sauce was ordered chicken(46.2%), vegetable(27.5%), beef(17.5%).

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.691-701
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• 2010

We propose a haptic rendering technology for touchable video. Our touchable video technique allows users for feeling the sense of touch while probing directly on 2D objects in video scenes or manipulating 3D objects brought out from video scenes using haptic devices. In our technique, a server sends video and haptic data as well as the information of 3D model objects. The clients receive video and haptic data from the server and render 3D models. A video scene is divided into small grids, and each cell has its tactile information which corresponds to a specific combination of four attributes: stiffness, damping, static friction, and dynamic friction. Users can feel the sense of touch when they touch directly cells of a scene using a haptic device. Users can also examine objects by touching or manipulating them after bringing out the corresponding 3D objects from the screen. Our touchable video technique proposed in this paper can lead us to feel maximum satisfaction the haptic-audio-vidual effects directly on the video scenes of movies or home-shopping video contents.