• Korean Journal of Environment and Ecology
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• v.32 no.5
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• pp.532-540
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• 2018

Importance-performance analysis (IPA) is a simple and effective technique that can assist practitioners in prioritizing customer attributes to enhance service quality and visitor's satisfaction. The purpose of this study is to use the IPA-Kano model to examine the correlation of visitor's satisfaction and management matters and deduce the management priority. It classifies 14 visiting satisfaction attributes into basic factors (forest environments and staff/information center), performance factors (the natural landscape, trail facilities, forest status, easy access, and historical and cultural resources), and excitement factors (the value of natural monument, educational experiences, and entrance fee) to select the management priority according to the achievement (satisfaction). The management priority according to the performance is staff/information center > easy access > forest environment > trail facilities, historical and cultural resources, forest status, and natural landscape > entrance fee and educational experience > value of natural monument. By considering their performance, it further identifies development priorities for visitor's satisfaction improvement. These priorities allow local governments to deploy scarce resources to improve satisfaction.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.291-308
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• 2022

The purpose of this study is to suggest an effective marketing method for product advertising. With regards to this, 148 copies of survey data were collected from consumers, and the hypothesis of this study was verified using SPSS 25.0. The results revealed that (1) Human Brand attractiveness had a positive effect on Human Brand attachment among the products of low involvement. (2) The uniqueness and the intimacy of Human Brand had a positive effect on Human Brand attachment among the products of high involvement. Through this study, the effect of reliability, expertise, attractiveness, uniqueness, and intimacy among human brand characteristics on human brand attachment, human brand attitude, and product purchase intention was confirmed, and it was also possible to confirm the difference in influence on human brand characteristics and purchase intention according to the product characteristics involved. This study has expanded the research scope of Human Brand, which has been studied mainly by entertainers and entrepreneurs, to sports stars and through empirical analysis, it has tried to identify influencing factors to improve purchasing intent based on high and low-contention characteristics of advertising products.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.145-155
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• 2018

This study aims to extract additional elements to the existing game value evaluation using Delphi technique to 23 game experts. As a result of reviewing the characteristics of the development model using the evaluation model of the existing game contents, it was found that the evaluation factor was selected when selecting the content. The Delphi analysis was conducted two times, the first was the expert FGI and the second was the Delphi questionnaire. More detailed elements were presented in the related items such as results, technology transfer and dissemination, and details for promoting commercialization. Through focus group interviews, we extracted additional factors and predicted market size, growth potential, regulatory and market appeal and risk through market analysis of content success in the game industry. This will allow the industry to understand market size, growth potential, regulation, market appeal and risk through a market analysis of its success targets. This study suggests that the proposed evaluation factors can be applied to the entire game and cultural contents industry and will also help to construct market factors such as market value evaluation of contents, goal and goal setting, selection of entry method, and strategic factors.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.325-333
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• 2019

This study was conducted to investigate the factors affecting satisfaction and dissatisfaction of e-learning learner students using Kano model and Timko's customer satisfaction coefficient. The results of the analysis showed that firstly, the students are highly satisfied when it is convenient to learn visually and audibly, when the students can ask questions at any time, and when the professor was interested in the students. Second, the rational criteria and accurate evaluation of grades and assignments were confirmed as factors that should be satisfied. Third, unlike the results of the basic study that the students use e-learning due to the convenience of learning time and learning space and the ease of learning process, it is no longer an attractive factor to use e-learning. The results of this study suggest that it is possible to present effective directions for the development of e-learning education and strategic application of each factor classified by the two-dimensional recognition method.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.224-239
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• 2022

Despite an impressive growth of online sales, the bricks-and-mortar bandwagon still remain high-profile in the realm of consumer channel switching behavior. Different from the existing research exploring the consumer switching behavior from the offline to the online retailer, this study is an effort to investigate why and when do consumers switch from the online to the offline channel by applying the push-pull-mooring framework. Thus, structural equation modeling and SPSS were used to test the established hypotheses. The results, as expected, show that both push factors (i.e., perceived risk and dissatisfaction) and pull factors (alternative attractiveness and perceived ownership) are positively related to a consumer's intention to switch from the online to the offline channel. Moreover, all of expected interactions between push factors and mooring factors (i.e., switching costs, variety seeking, and subjective norms), and between pull factors and mooring factors are supported, except for the interactions between push factors and switching costs as well as between pull factors and subjective norms. Finally, implications and limitations are discussed.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.225-234
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• 2021

This study is a cross-cultural study examining whether differences in perceptions of social gender roles in Korea and Uzbekistan have different effects on ad attitudes and product attitudes through the endorsers' gender. In particular, this study was focused on the difference between the facial expression of the endorser and the moderating effect of the ad situation in these relationships. The research results are as follows. First, the difference in the perception of social gender roles was larger in Uzbekistan than in Korea. Second, the influence of gender of endorser on ad attitude was perceived to be higher in Uzbekistan than in Korea. Third, the moderating effect of facial expression(Placid vs. Cold) in the effect of gender of advertising model on advertising attitude was found only in Uzbekistan. Fourth, the moderating effect of the ad situation (Office work vs. Family life) in the relationship between the endorsers' Gender and ad attitude was also found only in Uzbekistan. Fifth, the effect of consumer's ad attitude on product attitude showed a statistically significant positive relationship in both countries. This study reveals that cultural differences in the masculinity (or femininity) dimension between Korea and Uzbekistan are also affecting the effectiveness of ads. Therefore, this study suggests that global marketers should consider not only the existing information source effects such as reliability, professionalism, and attractiveness, but also the gender, facial expression, and ad situation of the endorser according to cultural differences when selecting an ad model.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.42-57
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• 2022

This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.104-120
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• 2011

This study is to make an empirical analysis of star marketing used as die means of sales promotion for Christmas cakes regardless of high advertising cos1s, by understanding the influence of attributes of celebrity advertising models for advertisements of bakery companies over die Christmas season on advertising attitude, corporation reputation and reliability which are recognized by consumers. The verification results were judged as important core elements for successful management in bakery industry. Since bakery brands are losing their differentiations in both functional and physical aspects, the study aimed to offer strategic suggestions to bakery industry. The result of study modelling were GFI=0.911, AGFI=0.887, NFI=0.935, CFI=0.979, RMR=.126 at the level of $x^2$=313.294(df-=218, p<0.001). First, model credibility and model attractiveness of advertising models bad a positive(+) influence on advertising attitude. Second, advertising attitude bad a positive(+) influence on corporation reputation and reliability. Third, corporate reputation also bad a positive(+) influence on corporate reliability.

• The Journal of the Korea Contents Association
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• v.7 no.12
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• pp.179-190
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• 2007

This paper examines fast food restaurant users consequent attitude and customer satisfaction. For this purpose, fast food restaurant user's trust and commitment is proposed to influence customer satisfaction. This study, which used data from customers of fast food restaurant, showed satisfactory data fit the proposed model and supported three of the three research hypotheses. The empirical results indicated that trust and commitment take significant effect on customer satisfaction, and the trust and commitment in turn have strong indirected influence on customer satisfaction. It was confirmed that commitment variables are effective mediator linking fast food restaurant user's customer satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.2
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• pp.49-68
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• 2007

This paper develop self pre-checkup lists for the validity of business model as web business starters can utilize to open business. In particular, self pre-checkup lists invented by Dr. Bruce Merrifield, is reapplied and modified in appropriate to internet shopping mall business. This paper complete many literature reviews to identify appropriate factors of evaluation such as about the characters of internet business, business validity testing theory for internet business model, pros and cons of e-business and startup ventures, factor analysis of technology valuation, and pros and cons for internet shopping mall. This paper define six different factors; scale of sales, the growth rate of market, competitiveness, risk portfolio, industry upside down, and social conditions, as the factors of evaluating the business attractiveness. Meanwhile, it define characters of CEO, content's power, mutual inclusion, commerce, fulfillment, marketing power as the factors of business appropriateness. This paper also conducts several case studies; company I, D, G of applying the former model. This paper sort out internet business model in imaginations by utilizing self pre-checkup lists of business evaluation. Also, the outcomes of evaluation is expected to provide meaningful future business implications.