• Journal of Digital Convergence
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• v.14 no.12
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• pp.85-93
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• 2016

This study attempts to understand the Facebook advertising diffusion behavior in the situation of increasing consumer activeness. Especially, this study focuses on the influence of motives for using Facebook on Facebook advertising diffusion behavior. -Survey for 243 university students was executed after preliminary interview for extracting question items of motives for using Facebook.- This study finds that the experiencer of Facebook advertising diffusion behavior shows stronger motives for using Facebook than non-experiencer of Facebook advertising diffusion behavior. Logistic regression analysis was conducted to find out the impact of verified variables on Facebook advertising diffusion behavior. It was found that 'self-expression motive' influences on the all Facebook advertising diffusion behavior significantly. Based on the results, academic and practical implications are discussed.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.3
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• pp.267-273
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• 2001

While forecasting sales of a new product is very difficult, it is critical to market success. This is especially true when other products have a highly negative influence on the product because of competition effect. In this paper, we develop a choice-based competitive diffusion model and apply to the case where two digital mobile telecommunication services, that is, digital cellular and PCS services, compete. The basic premise is that demand patterns result from choice behavior, where customers choose a product to maximize their utility. In comparison with Bass-type competitive diffusion models, our model provides superior fitting and forecasting performance. The choice-based model is useful in that it enables the description of such competitive environments and provides the flexibility to include marketing mix variables such as price and advertising.

• Korean Management Science Review
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• v.19 no.2
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• pp.125-137
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• 2002

The telecommunications market is expanding rapidly and becoming more substitutive. In this environment, demand forecasting is very difficult, yet important for both practitioners and researchers. in this paper, we adopt the modeling approach proposed dy Jun and Park ［6］. The basic premise is that demand patterns result from choice behavior, where customers choose a product to maximize their utility. We apply a choice-based substitutive diffusion model to the Korean mobile telecommunication service market where digital service has completely replaced analog service. In comparison with Bass-type multigeneration models. our model provides superior fitting and forecasting performance. The choice-based model is useful in that it enables the description of such complicated environments and provides the flexibility to include marketing mix variables such as price and advertising in the regression analysis.

• Information Systems Review
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• v.7 no.2
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• pp.61-84
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• 2005

Previous studies indicate that information and communication technology (ICT) adoption is affected by innovation influence such as usefulness, ease of use and self-efficacy. Most of these studies, how-ever, bypassed imitation influence such as subjective norms, word-of-mouth, and advertising, specifically, interactive innovation having critical mass in technology acceptance research. Thus, this study focuses to investigate imitation influence in individual adoption of mobile communication technology. The purpose of this study is to empirically examine the causal relationships between initial acceptance and the intention to use in terms of a holistic approach. The results of this study show that there is an imitation influence including word-of-mouth and subjective norms, from the prior adopters to potential adopters, and mass advertising through TV or news-paper commercials in the ICT diffusion process. In addition, this imitation influence also stimulates innovation influence such as perceived usefulness. Finally, this study provides a set of guidelines to mobile communication equipment manufacturers and ICT vendors in developing effective strategies for technology diffusion.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.173-183
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• 2017

The purpose of this study is to investigate the causal relationship between new brand awareness and new brand awareness according to type of restaurant menu purchase information. This study will provide basic research data on viral marketing strategy through online marketing of restaurant companies. The purpose of this study is to investigate the effect of information obtained through blog information and SNS advertisement on word effect (information acceptance and information transfer) and to investigate the effect of word of mouth effect on consumers' purchase intention. A total of 206 samples were used for this analysis and regression analysis was performed using SPSS 18.0. The results of the study are as follows. First, experience type, timely relevance and consensus among the characteristics of blog information affect information acceptance. Experience, and accuracy are affecting information delivery. Second, information discomfort among the characteristics of SNS advertising information influences the acceptance of information. Information, entertainment and trust are affecting information dissemination. Third, information acceptance and information diffusion affect purchase intention.