• Asia Marketing Journal
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• v.14 no.2
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• pp.1-22
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• 2012

Gifticon is an innovative new service of SK Marketing & Company. Launched in the end of 2006 for the first time in the world, the mobile gift certificate is in the form of a SMS message that bears a bar code to exchange with real products sent to the intended recipient through internet portal, messenger or/and mobile phones. The service started by connecting individuals (B2C business) and was expanded to the new marketing tools of companies (B2B business). While the business took off with soft progress in the initial year of launch, Gifticon business finally gained its momentum in the growth of sales in its second and third year. Yet, the data showed that the growth of user-base was getting stagnant that the number of users remained flat for the past few months. Moreover, competition from latecomers such as Giftishow from KTF and Heartcon from LG Telecom gets fierce. Particularly in B2B sector where Gifticon has made minimal profit, competitors started aggressive promotional activities, taking away shares from Gifticon. Under these circumstances, team is facing tough strategic decisions for its long-term growth; How can they further grow the business? Should they go after more massive targets for broader user-base? Should they pursue B2B business more aggressively? This case study asks students to come up with solutions for these questions by understanding concepts, theories and models for diffusion of innovations and strategies to overcome a chasm.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.131-140
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• 2017

Gift-giving is a special behavior where both givers and receivers are interactively involved. Thus, emotion and satisfaction for both sides are core factors in gift-giving research. Recently, gift-giving expands to a mobile venue by the growth of the industries in Korea. In accordance with this trend, some studies have been conducted regarding mobile gifts called 'Gifticon'. However, most of them focused on the phenomenon based on the usage patterns and motives from the perspectives of givers. This study aimed (1) to figure out the emotional differences according to the action of giving Gifticons, and (2) to understand the effects of role and intimacy on the level of gift satisfaction. The results showed that, recipients felt higher levels of positive emotions such as excitement and thrill than givers whereas givers had different levels of gift-satisfaction depending on the intimacies to the receivers. This study is expected to suggest marketing strategies by providing psychological contemplations to a new form of gift-giving behavior, which is expanding toward a new mobile market. Further, it also suggests managerial implications by understanding the level of consumers' satisfaction from the role in Gifticon-giving situations and the intimacies between givers and recipients.

• The Journal of Information Systems
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• v.26 no.2
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• pp.1-23
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• 2017

Purpose Facebook is a social network service that has the highest number of Monthly Active Users around the world. Hence, marketers have selected Facebook as the most important platform to get customer engagement. With respect to the customer engagement enhancement, the most popular and engaging post type in the Facebook brand fan pages related to what was usually classified as 'sweepstakes'. Sweepstakes refer to a form of gambling where the entire prize may be awarded to the winner. Which makes customers more engaged with the brand. This study aims to explore sweepstakes-oriented social media marketing approaches based on the application of big data analytics. Design/methodology/approach we collect sweepstakes data from each company based on the data crawling from the Facebook brand fan pages. The output of this study explains how companies in each category of FCB grid can design and apply sweepstakes for their social media marketing. Findings The results show that they have one thing in common across the four quadrants of FCB grid. Regardless of the quadrants, most frequently observed type is 'Simple/Quiz or Comments/Quatrains [event type of sweepstakes] + Gifticon [type of reward prize] + Image [type of message display] + No URL [Link toother website] +Single-Gift-Offer [type of reward prize payment]'. So, if the position of the brand is hard to be defined by the FCB grid model, then this general rule can be applied to all types of brands. Also some differences between the quadrants of the FCB grid were observed. This study offers several research implications by analyzing Sweepstakes-oriented social media marketing approaches in Facebook brand fan pages. By using the FCB grid model, this study provides guidance on how companies can design their sweepstakes-oriented social media marketing approaches in the context of Facebook brand fan pages by considering their context.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.333-340
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• 2015

Mileage system in some online media, I have a lot of use. In addition, there are a lot of companies that are making money by using the mileage system. A mileage system is the first airline in such a way that the service in the late 1980s, many states now listed sungineung and features. In addition, there are many industries that reported good results using a mileage system used by carriers in other industries. However, mileage of the current game industry has not been introduced, it is not the service by using the concept of point returning to the user is purely a function of mileage. So a lot of developed payment systems in the mobile industry since 2010, proposed a better and more current online payment systems industry has an easy hybrid revenue model for mobile games service convergence mileage using this system.

• Asia Marketing Journal
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• v.12 no.3
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• pp.1-24
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• 2010

Typically, marketing literature on innovation diffusion has focused on the pre-adoption process and only a few studies explicitly examined consumers' post-adoption behavior of innovative mobile services. Besides, prior use diffusion research has considered the variables that determine the consumers' initial adoption in explaining the post adoption usage behavior. However, behavioral sciences and individual psychology suggest that social influences are a potentially important determinant of usage behavior as well. The purpose of this study is to investigate into the effects of network factor and brand identification as social influences on the consumers' use diffusion or continued usage intention of a mobile service. Network factor designates consumer perception of the usefulness of a network, which embraces the concept of network externality and that of critical mass. Brand identification captures distinct aspects of social influence on technology acceptance that is not captured by subjective norm in situations where the technology use is voluntary. Additionally, this study explores the effect of the use diffusion on the brand switching intention, a generally unexplored form of post-adoption behavior. There are only a few empirical studies in the literature addressing the issue of IT user switching. In this study, the use diffusion comprises of rate of use and variety of use. The research hypotheses are as follows; H1. Network factor will have a positive influence on the rate of use of mobile services. H2. Network factor will have a positive influence on variety of use of mobile services. H3. Network factor will have a positive influence on continued usage intention. H4. Brand identification will have a positive influence on the rate of use. H5. Brand identification will have a positive influence on variety of use. H6. Brand identification will have a positive influence on continued usage intention. H7. Rate of use of mobile services are positively related to continued usage intention. H8. Variety of Use of mobile services are positively related to continued usage intention. H9. Rate of use of mobile services are negatively related to brand switching intention. H10. Variety of Use of mobile services are negatively related to brand switching intention. With the assistance of a marketing service company, a total of 1023 questionnaires from an online survey were collected. The survey was conducted only on those who have received or given a mobile service called "Gifticon". Those who answered insincerely were excluded from the analysis, so we had 936 observations available for a further stage of data analysis. We used structural equation modeling and overall fit was good enough (CFI=0.933, TLI=0.903, RMSEA=0.081). The results show that network factor and brand identification significantly increase the rate of use. But only brand identification increases variety of use. Also, network factor, brand identification and the use diffusion are positively related to continued usage intention. But the hypotheses that the use diffusion are positively related to brand switching intention were rejected. This result implies that continued usage intention cannot guarantee reducing brand switching intention.