• Journal of Distribution Science
• /
• v.8 no.1
• /
• pp.35-42
• /
• 2010

This study is for finding out the relationship between reactions on POP per consumer purchase trends and major factor for making final purchasing decisions after being exposed to POP from large supermarkets. The following results were obtained after the research. First, consumers displayed higher reaction scores on End-Cap in general among POP advertisements. The factors for making final purchase decision are in the order of function > price > brand for household electrical goods, price > design > function for sundry goods and design > price > function for clothing (including bedding). Second, the results of analyzing the differences based on age on impulsive purchase showed that the lower the age the higher the tendency. Unplanned purchase trend also showed higher when younger. The results of this study showed that there are discrepancies in the theory related with existing POP advertisements, that is, the theory that impulsive purchasers have higher POP responses.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.8
• /
• pp.970-977
• /
• 2020

The collaborative filtering recommendation technique has been the most widely used since the beginning of e-commerce companies introducing the recommendation system. As the online purchase of products or contents became an ordinary thing, however, recommendation simply applying purchasers' ratings led to the problem of low accuracy in recommendation. To improve the accuracy of recommendation, in this paper suggests the method of collaborative filtering that analyses product reviews and uses them as a weighted value. The proposed method refines product reviews with text mining to extract features and conducts sentiment analysis to draw a sentiment score. In order to recommend better items to user, sentiment weight is used to calculate the predicted values. The experiment results show that higher accuracy can be gained in the proposed method than the traditional collaborative filtering.

• Journal of the Korea Institute of Building Construction
• /
• v.22 no.3
• /
• pp.269-280
• /
• 2022

With property values of buildings rising, interior construction works are also increasing globally. Interior construction technology has developed into building information modeling(BIM) that can estimate and integrate material quantities. Two-dimensional(2D) drawings and three-dimensional (3D) modeling are becoming a trend owing to the demanding on-site cost and process. 2D drawings and 3D modeling have both advantages and disadvantages that give rise to defects during interior construction work. The field problems, 2D drawings, 3D modeling, and preliminary risk factors of interior construction work were analyzed to identify real problems. Based on the problem analysis, various problems were derived, such as (1) communication with purchasers, (2) communication with workers, and (3) comprehension of the drawings. In this study, a checklist for quality improvement of interior construction was proposed to address the aforementioned issues.

• Journal of Internet of Things and Convergence
• /
• v.8 no.1
• /
• pp.11-16
• /
• 2022

Efforts to incorporate blockchain into various fields are continuing as cryptocurrency transactions become more active. Blockchain has the characteristic that once recorded facts cannot be modified or deleted. Due to these characteristics, the use in the field of recording and proving certain facts, such as voting or proof of ownership, is attracting attention. In this paper, users who want to participate in the transaction process using private blockchain, one of the types of blockchain, are divided into real estate brokers, building owners, and purchasers (lessors), and roles are assigned to each user. In addition, we would like to propose a system to increase reliability through the participation of institutions. Through this, we intend to not only present a real estate transaction system that prevents damage from real estate fraud related to false sales and fraudulent contracts, but also enhances reliability and contributes to finding ways to utilize blockchain in the future.

• Information Systems Review
• /
• v.21 no.1
• /
• pp.61-90
• /
• 2019

From the digital perspective, customer journey and customer experience management are emerging as important issues for companies. While digital customer experience has become more important due to the recent surge in online sales of the home appliance products, customers' experience in online is not differentiated as offline-focused traditional methods are maintained. This study aims to analyze the characteristics and mutual influences of customer experiences at each stage of online purchase journey, and to explore the effects on the product repurchase intention, focusing on online purchasers of home appliance which are high-involvement products. As a result, both cognitive and affective experiences of the research phase directly affect satisfaction, whereas affective experience at the purchasing stage indicated indirect effects through cognitive experience. The experience of the research phase positively affects the next phase, the purchasing experience, and the experience of the purchasing phase leads to the intention to repurchase the product. However, it is also found that, depending on the choice of online channels, the experience of research phase may affect the product repurchase intention than the purchase experience.

• The Journal of Society for e-Business Studies
• /
• v.17 no.1
• /
• pp.111-136
• /
• 2012

The global recession has made it more difficult for companies to invest in IT, and they are increasingly aware of the environmental costs of so doing. In these circumstances, cloud computing has emerged as a new paradigm in the business IT sector. Governments, institutes and companies around the world, as well as specifically in Korea since 2009, have turned to this model of providing IT resources. This study is concerned to identify those characteristics of cloud computing that affect its introduction on a company's part; it offers a theoretical framework describing cloud services and seeks to establish causal linkages between antecedent factors and a company's introduction and application of this form of IT provision. The features of cloud computing in particular contexts that the study selected for analysis were its scalability, speed, security, potential compatibility with existing services, efficiency, economic feasibility, dependency and credibility. The study thus related these to whether or not cloud computing was adopted, verifying adjustment effects for cloud services. On the basis of a survey of enterprise IT decision-makers, it emerged through a statistical analysis of correlations that cloud computing's efficiency, economic feasibility and credibility had an effect on its introduction. This study's results should be of use to vendors and potential purchasers of cloud computing services. It is one of the first pieces of research on cloud computing from the customer perspective, based on the perceived characteristics of cloud services as they are seen and valued by users.

• Journal of Digital Convergence
• /
• v.16 no.5
• /
• pp.173-183
• /
• 2018

In this study, we tried to examine the effect of service quality on the current industrial product B2B trading market on the degree of sustainable purchase for employees engaged in industrial product B2B trading market. We gathered data from questionnaires from employees who worked in the industrial product B2B trading market for this research. Empirical analysis is carried out through the collected questionnaire materials and finally the research model is finally verified using reliability analysis, validity analysis, discrimination validity analysis, and structural equation model fitness test, and finally Analysis of differences between cooperating companies and vendor, analysis of differences between companies engaged in purchasing industrial materials and developers. The results of the research analysis did not positively influence the quality of the relationship with relativity satisfaction with ease of information exchange and adaptability did not have a positive influence on the quality of the relationship. However, product service exchange, product development cooperation, adaptability, correspondence, reliability had a positive influence on the quality of relationship with relation satisfaction. Relationship of parameters The satisfaction has a positive influence on the quality of the relationship, the degree of sustainable purchase, and eventually the quality of the relationship has a positive influence on each successive purchase. By using the results of this research it is possible to confirm the factors which directly or indirectly influence the strengthening of the relationship between suppliers and purchasers in the industrial material B2B trading market and provide the basis for strategy to B2B trading companies It seems to be meaningful to offer.

• Journal of Global Scholars of Marketing Science
• /
• v.7
• /
• pp.353-374
• /
• 2001

Price and brand are two major attributes of products that consumer purchases. Price is important because it is often a measure of worth and quality. Some consumers purchase only well-known national brands. However, By reason of the price competition on account of new business condition and depressions, and consumers practical and rational purchasing tendency, consumers tend to purchase private brands(PB hereafter) because as consumers they expect that producers have reasonable and acceptable quality. Accordingly, The study, with intrinsic cue, extrinsic cue, familiarity anything like these cues from the study of Richardson et aI(1994, 1996), intends to present current topics we guide in retailer's promotion strategy for PB. As for investigating how quality evaluation has on effect on the private brands purchasing behavior of discount store grocery items. This study establishes a hypotheses on the basis of the quality evaluation cues of PB and literature review for purchasing behavior and collects materials for consumers about 196, and also analyzes them using a variety of SPSS/PC+package program. Therefore, the findings of this study provide the following managerial implications. 1) Retailer will successful in increasing private brand market share through dramatic improvement in package design, labeling, advertising, and branding strategies. 2) Planned Purchasers have high intention to repurchase PB because they buy them reasonably in accordance with the estimate therefore, they might have word-of-mouth effect for the evaluation of quality and recognition. They need to acknowledge benefits for PB purchases to maintain purchase like that. 3) The main consumers are housewives in their thirties and forties and they something reasonably because they have a lot of family and retailer will work out.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.19-26
• /
• 2008

This paper is related to a new technology allowing a user to have a 360 degree viewpoint of the virtual wearing object, and to an object VR(Virtual Reality)-based 2D virtual textile wearing system using viewpoint vector estimation and textile texture mapping. The proposed system is characterized as capable of virtually wearing a new textile pattern selected by the user to the clothing shape section segmented from multiview 2D images of clothes model for object VR, and three-dimensionally viewing its virtual wearing appearance at a 360 degree viewpoint of the object. Regardless of color or intensity of model clothes, the proposed system is possible to virtually change the textile pattern with holding the illumination and shading properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple textile pattern combinations for individual styles or entire outfits. The proposed system can provide higher practicality and easy-to-use interface, as it makes real-time processing possible in various digital environment, and creates comparatively natural and realistic virtual wearing styles, and also makes semi -automatic processing possible to reduce the manual works to a minimum. According to the proposed system, it can motivate the creative activity of the designers with simulation results on the effect of textile pattern design on the appearance of clothes without manufacturing physical clothes and, as it can help the purchasers for decision-making with them, promote B2B or B2C e-commerce.

• Korean journal of food and cookery science
• /
• v.29 no.4
• /
• pp.367-376
• /
• 2013

The objectives of this study are to provide the food market of internet shopping malls with effective marketing data, to provide basic data for the development of related fields of the study, and ultimately to increase the satisfaction of food consumers of internet shopping malls. To achieve the object of this research, a cluster analysis of the research subjects was carried out based on the following 5 factors of food purchasing attribute that had been deduced by a factor analysis by the types of food purchasers: quality characteristics, informativity, convenience, price and diversity. According to the result of the cluster analysis, the research subjects were classified into the 2 clusters of diversity and informativity. The deduced 2 clusters, together with age and occupation among general characteristics, were used as independent variables to find out food purchasing behaviors and satisfaction at internet shopping malls. The results are as follows: Regarding the frequency of food purchasing experiences at internet shopping malls according to occupation, the highest frequency was shown by those involved in service, sales and self-employed businesses; whereas regarding the frequency according to age, those in their 30s and 40s showed the highest frequency. The total amount of money spent on food purchasing for 1 year at internet shopping malls was shown to increase as age increased. The frequency of the purchasing experiences of agricultural products and fish products was shown to be higher as age increased. However, overall purchase satisfaction was highest among those in their 30s, while lowest among those in their 40s. Regarding satisfaction by the types of food purchased via internet shopping malls, satisfaction was relatively higher with common foods and functional foods, while lower with fish products. Taken together, it was concluded that purchasing behaviors at internet food shopping malls, such as the frequency of purchasing experiences and purchase amount, varied depending on age rather than purchasing attribute. Accordingly, in order to vitalize internet food shopping malls, it would be necessary to provide customized food shopping information for individual age groups.