• KIISE Transactions on Computing Practices
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• v.21 no.9
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• pp.579-586
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• 2015

As smart-phone usage increases, the number of Social Networking Service (SNS) users has also exponentially increased. SNS allows people to efficiently exchange their personal opinion, and for this reason, it is possible to collect the reaction of each individual to a given event in real-time. Nevertheless, new methods need to be developed to collect and analyze people's opinion in real-time in order to effectively evaluate the impact of a TV advertisement. Hence, we designed and constructed a system that analyzes the effect of an advertisement in real-time by using data related to the advertisement collected from SNS, specifically, Twitter. In detail, Hadoop is used in the system to enable big-data analysis in parallel, and various analyses can be conducted by conducting separate numerical analyses of the degrees of mentioning, preference and reliability. The analysis can be accurate if the reliability is assessed using opinion mining technology. The proposed system is therefore proven to effectively handle and analyze data responses to divers TV advertisement.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.163-172
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• 2018

This study examined what constitutes the factors of the advertisement of Facebook advertisement, and what factors affect the reliability of the advertisement and the purchase intention. Data were collected from Facebook users and analyzed through exploratory factor analysis and multiple regression analysis. The results of this study are as follows: First, the factors of constituting Facebook advertisement were five factors of advertisement interest, customized information, advertisement exposure, peripheral responsiveness, and product late information. Second, it is confirmed that customized information has a statistically significant effect on ad reliability. However, ad exposure has an adverse effect on ad reliability. Third, customized information and advertising interest had a statistically significant effect on purchase intention. The results of this study have implications for the theoretical development of Facebook advertisement and the basic data for establishing Facebook advertisement strategy.

• Journal of Broadcast Engineering
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• v.19 no.6
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• pp.957-966
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• 2014

N-Screen service has experienced rapid business expansion recently, since consumers' watching patterns have been diversified; also business stakeholders including broadcasting companies, internet service providers, and device manufacturers have joined this field. In order to operate N-Screen service in a stable manner, development of advertisement system where it generates continuous advertisement profit is needed. Especially for a streaming service that delivers live TV programs, the new advertising system has to deliver ads in conjunction with the live streaming system that is in use. In this paper, video advertising system that is congenial to N-Screen is proposed. Both real time video/ad converting scheme and direct video ads delivery function were developed and tested. In addition, ad contents management and statistics management functions have been developed for advertisement managers. This system was implemented in a commercial N-Screen service and it is currently being used for delivering video advertisements.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.93-104
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• 2015

In this paper, the design of intelligent_advertisement_operation system(IAdOS) based on user's feedback is proposed for mobile environments. The proposed system stores the advertising contents created by the advertising provider and recommends the personalized advertising contents by analyzing the context information, and then feedback information of the advertisements. Since the proposed system which can recommends provide the smart advertisement contents based on personal preference, it is expected to contribute the new service model development of in the field of advertising market.

• Convergence Security Journal
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• v.18 no.3
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• pp.61-68
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• 2018

As the digital broadcasting era settled in, the TV, which was only used to watch broadcast programs, developed as a medium for operating various data services. This means that an environment, in which the viewers' TV usage behavior can be changed from a passive attitude to an attitude of actively consuming the media, has been established. Since the advertising market is an industry that is heavily influenced by changes in the media, these changes causes changes in the form of advertising and the advertising consumption behavior of viewers. In this environment, the broadcasting industry needs to think about the new growth strategy that links the possibility of data service with the advertisement market. In this study, we designed a data service that provides supplementary information of an ID advertisement, which has the weakness of short exposure time and shortage of information expression space. Specifically, we have designed the usage scenario and user interface of the data service and developed a method, based on the international digital broadcasting standard DV B, that provides the supplementary information defined by the type of ID advertisement to the data service.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.367-382
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• 2009

The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2(store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), 'Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.

• Journal of KIISE:Information Networking
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• v.33 no.5
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• pp.343-354
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• 2006

There has been much research efforts trying to integrate mobile IP that has been proposed to guarantee the mobility of mobile nodes on MANET (Mobile Ad Hoc Networks) and wired integrated networks. To support the mobility service of nodes in MIPMANET, this paper proposes MAAM(Mobility Agent Advertisement Mechanism) and AMAAM protocols. In MAAM, the mobility agent of the mobile IP can maintain the information of ad hoc networks by broadcasting advertisement messages periodically. AMAAM(Aggregation based Mobility Agent Advertisement Mechanism) is an enhancement of MAAM for reducing the number of transmission of advertisement messages by aggregating them. The proposed schemes are applied in MIPMANET for agent advertisement mechanism. For the performance evaluation of both protocols, we simulated them by NS2. We evaluate the protocols by ns2 with such performance metrics as packet delivery ratio, transmission throughput, and energy consumption.

• The Korean Journal of Franchise Management
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• v.9 no.1
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• pp.17-25
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• 2018

Purpose - This study was to investigate the effect of advertising attributes on advertising attitude, brand equity, and advertising effect of TV commercials of chicken franchise brand, which is one of the most popular food service brand in recent years. Research design, data, and methodology - This study aims to see the effect of advertising attributes on advertising effectiveness and the mediating effects of advertising attitude and brand equity. A total of 200 questionaire was collected, 15 respondents were discarded due to missing information. Therefore, a total of 185 respondents were used for this study. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, three-step mediation regression analysis, and path analysis with SPSS 24.0 and AMOS 24.0 statistical program. Result - The results of the study are as follows. First, the effect of brand attitude on brand attitude and brand equity, brand equity and advertising effect on brand attitude, and brand equity on advertising effect were statistically significant. As a result of the mediating effect test, it was confirmed that the attitude of the ad and the brand equity mediates partly between the ad property and the advertisement effect. Conclusions - As a result of the study, it is suggested that the informativeness and notableness affect the consumers among the advertisement attributes, so that it is necessary to be able to convey the accurate information more clearly to the consumers when composing the contents of the advertisement. In other words, in the case of the advertisement of the chicken franchise brand corporation, it will be an effective advertisement campaign if it continuously transmits the correct advertisement message to the consumers in association with the brand.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.87-108
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• 2001

Recently, the user of mobile and cordless internet is growing rapidly. So the advertising methodologies are appeared on stage through the internet and mobile service. But the current advertisement(AD) service into mobile phones supplies a short-sentence AD using letter-message, and gives mobile phone users an inconvenience by making them first listen to and then check the AD. Until now the AD service using mobile has been on the beginning level. In this study, we suggest the new advertising methodologies and propose both target marketing strategies and demand forecast through the data mining techniques.

• Survey Research
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• v.2 no.1
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• pp.87-108
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• 2001

Recently, the user of mobile and cordless internet is growing rapidly. So the advertising methodologies are appeared on stage through the internet and mobile service. But the current advertisement(AD) service into mobile phones supplies a short-sentence AD using letter-message, and gives mobile phone users an inconvenience by making them first listen to and then check the AD. Until now the AD service using mobile has been on the beginning level. In this study, we suggest the new advertising methodologies and propose both target marketing strategies and demand forecast through the data mining techniques.