• 한국지역사회생활과학회지
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• 제26권1호
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• pp.75-85
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• 2015

This study investigates the impact of livestock diseases, including FMD(foot-and-mouth disease) and MCD(mad-cow disease), on pork demand in Korea. TV news stories about the livestock diseases were considered as negative advertising, and therefore the carry-over effect of negative advertising was combined with the pork demand model in conjunction with an exponential distributed lag function. The asymmetry hypothesis was imposed, however it was accepted that demand response does not show different sensitivities to increases and decreases in the livestock disease news. FMD news had a negative effect on pork demand, whereas MCD news had a positive effect, yet FMD news had a greater effect on pork demand than MCD news. The pork demand elasticity estimates for FMD and MCD news were -0.0071 and 0.0028, respectively. The cross-elasticity of the imported beef price to pork demand was highly inelastic, but it was elastic during the beef import embargo.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.155-166
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• 2020

This study investigates the importance of professional models in the promotion of the corporate brand attitude through differentiated marketing strategies in the saturated low-cost carrier (LCC) aviation market. The attributes of professional models affect brand attitude and brand loyalty. The study seeks to identify the factors affecting brand loyalty through the contribution of professional models. The empirical analysis is based on a questionnaire survey conducted online and off line over a seven-month period, from January to July 2019. Some 292 valid samples could be used. The study conducted a positive factor analysis using AMOS 18.0 and a reliability analysis using SPSS 18.0. Reliability of measurement tools was performed using Cronbach's alpha. The attributes of professional models relating to airline advertising include: reliability, attractiveness and expertise. These attributes are shown to have a significant impact on brand attitude and brand loyalty toward LCCs. The findings reveal that reliability and expertise have a significant influence on the brand attitude and the formation of brand loyalty. Professional models' attractiveness has no significant impact on brand attitudes and brand loyalty. The mediating effect of professional models' attributes on the relationship between brand attitude and brand loyalty also show a significant positive effect.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2012년도 제46차 하계학술발표논문집 20권2호
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• pp.441-444
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• 2012

본 논문에서는 디지털 사이니지와 스마트폰간의 양방향 광고 및 정보 전송이 가능한 차세대 광고 모델을 제안한다. 디지털 사이니지는 옥외라는 공간의 특성상 지나가는 사람들에게 짧은 시간 동안 주목을 유도해 광고를 노출시켜야 하고 설명형 광고 표출이 어려운 공간적인 한계를 가지고 있다. 반면 스마트폰은 사용자들과 물리적으로나 심리적 거리상으로 가장 밀접한 위치에 있고 언제 어디서나 무선인터넷과 애플리케이션을 활용할 수 있어 광고효과가 뛰어난 매체이다. 따라서 디지털 사이지니 앞을 지나가며 관심있는 정보나 광고를 스마트폰으로 전송 받고 원하는 시간과 장소에서 스마트폰으로 본다면 디지털 사이지니 광고매체의 공간적 한계를 극복하고 광고효과를 높일 수 있을 것이다. 본 논문에서는 이러한 디지털 사이니지를 활용한 개인형 모바일 광고에 대한 요구사항을 도출하였고, 향후 실제 시스템을 구축할 계획이다.

• 유통과학연구
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• 제21권3호
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• pp.13-23
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• 2023

Purpose: Low-Cost Carrier airlines attempt to provide the best service for their customers. However, the pandemic has forced airline companies to keep developing new strategies. Moreover, in this digital era, airlines must intensely market their service through social media to reach as many customers as possible. This research aims to study the impact of advertisements on Instagram and the customer experience concerning customer loyalty and satisfaction in the aviation industry. Research design, data, and methodology: This study uses a quantitative explanatory with the combination of the positivism paradigm. The data collection technique is by distributing questionnaires to related airline Instagram followers. Meanwhile, the sample calculation uses using the Slovin formula in which 414 respondents are gained. The collected data is analyzed with Structural Equation Model and using Smart-PLS software. Results: The study results indicate that advertising on Instagram and customer experience significantly positively affect customer satisfaction and loyalty. In addition, the variable customer satisfaction has a significant positive on customer loyalty. Conclusions: The study results indicate that the ease of obtaining information via Instagram can affect satisfaction and will increase when customers have made a flight so that they will become loyal customers.

• International journal of advanced smart convergence
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• 제11권3호
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• pp.132-141
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• 2022

We look at the rocket life stages of NaverZ's metaverse platform scaling and investigate the ignition and scale-up stage of its metaverse platform brand, Zepeto based on the Rocket Model (RM). The results are derived as follows: Firstly, NaverZ shows the event strategy by collaborating with K-pops, the piggybacking strategy by utilizing other SNSs, and the VIP strategy by investing in game and entertainment content genres in the 'attract' function. In the second 'match' function, based on the matching rule of Zepeto, the users can generate their own characters and "World" with Zepeto Studio. However, for strengthening the matching quality, NaverZ is investing in the artificial intelligence (AI) based companies consistently. In the 'connect' function, NaverZ's maximization of the positive interaction is possible by inducing feed activities in Zepeto & other SNSs and by uploading attractive content for viral effects in the ignition. For facilitating this, NaverZ expands the scale to other continents like Southeast Asia and Middle East with the localization strategy inclusive investment. Lastly, in the 'transact' function, based on three monetization experiments like Coin & ZEM, user generated content (UGC) fee, and advertising revenue in the ignition, NaverZ starts to invest in NFT platforms and abroad blockchain companies.

• 유통과학연구
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• 제21권6호
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• pp.51-68
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• 2023

Purpose: This study aims to explore the impact of green products' claim skepticism on green purchase intention and further investigates the moderating role of environmental concern in the relationship. This study, by drawing the persuasion knowledge model expected that ambiguity avoidance penalizes less familiar brands than familiar brands. Further, the present study building on Hofstede's cultural dimension, specifically, uncertainty avoidance, undertook a scenario to understand any difference that exist between uncertainty avoidance cultural groups. This study also investigates gender differences in green claim skepticism and proclivity to purchase green products. Research design, data, and methodology: For analyzing the relationship relevant hypotheses were designed, and R-programming software was used. To test the hypotheses two independent sample t-test and regression analysis were carried out. Results: The results suggest that consumers' skepticism toward green claims influenced the intention to purchase eco-friendly products. The study finding also confirms the effect is moderated by environmental concern. Also, the findings of two scenarios reveal that consumers in high uncertainty avoidance culture exhibited a greater level of skepticism for green print advertising and green packaging claims when the brand in the advertising and packaging was unfamiliar than when it was familiar. Conclusions: To alter the negative effect of skepticism the consumer should believe the environmental claims are valid so that they can contribute to solving sustainability issues.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 추계학술대회
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• pp.177-188
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• 2005

Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.149-160
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• 2006

Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.

• 지식경영연구
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• 제12권5호
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• pp.41-57
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• 2011

Social commerce is simply a kind of e-commerce by adopting SNS(Social networking service). It has been spread as SNS is widely used all over the world. In this situation, companies attempt to make the best use of social commerce to understand its advertising effect and to sell more products and/or services they provide. Although social commerce is a recent trend in Korea, it is necessary for companies to find a way to effectively adopt and utilize the social commence. Therefore, the focus of this study is to identify critical success factors for social shopping. We generated 40 items to measure 8 constructs. Using data collected from 300 respondents who have experienced both SNS and social shopping, we analyzed our model and its hypotheses. The analysis result shows that social shopping customers don't use SNS to get information when they purchase products and/or services in social shopping web sites.

• 한국국방경영분석학회지
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• 제29권1호
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• pp.76-87
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• 2003

This paper proposes that we need a simpler method for developing the Website strategy for public institutions. The research objectives are threefold: (1) A model that relates to the monitoring of Website strategy in the public sector is proposed. The model includes basic dimensions and a $2{\times}3$ matrix that is a simplified version of the Mohammed et dl.s Marketspace Matrix. (2) The model is tested empirically with a sample of 56 Websites selected from govemment agencies, military organizations and police stations in Korea. (3) The effect of dimension/factors on the innovation level is tested. A special attention is paid to online attracting that is important for public institutions which usually do not use offline advertising aggressively. Results from regression analyses show that main dimensions (Marketing Drivers and relationship Stages) and three factors (Basic Information, Support Information, and Participation) in the matrix are all significantly influential on the innovation level, but the Attracting is not. Colorful designs and attracting features of a homepage have not necessarily anything to do with innovation. This message can offer a good piece of advice for managers of Websites.