Location Check-in Model with New Rewarding, Valuation and Event Schemes

• Main Authors: Benjamin Pin-Chun Chen, 陳稟鈞
• Other Authors: 游張松
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/58301024185810141072

碩士 === 國立臺灣大學 === 商學研究所 === 99 === Location-based social network (LBSN) has been realized in mobile marketing as a new medium in attracting customers for actual store visits. While it has its schemes in delivering values to both the business and users, it remains to be seen how the model can evolve and take off to win mass majority of user adoptions. This research focuses on the current landscape of LBSN and proposes alternate models to compensate and improve upon the existing scheme. Based on the LBSN framework derived for study, key elements include analyzing the limitation in reward incentive scheme; the effect of biased review valuation and the lack of location event in current presentation. The results of the analysis are as follows: 1. Proposing reward exchange and alliance reward schemes to enable users more fun in committing to the rewarding scheme and accumulate higher value of perceived rewards among users and alliance businesses; 2. Proposing a menu-ranking valuation scheme to balance the effect of subjective, biased reviews and help businesses to gain exposure over the consensus of ordered dishes; 3. Proposing the addition of time-dependent variables associated with location data to enable announcement, guiding and booking of event-based services.