Design and implementation of location-based service for targeted advertising

Nowadays, mobile phones have been increasingly advertised. These performance advertisement tools altered to be one of the beneficial factors in order to promote products and services in national or local companies. One of the outstanding features of mobile phones is that everybody has accessibility in different circumstances and times. Companies struggle to draw customers attention by providing information, stimulating text or image to advertise their products by which high cost have been consumed. In this study, a system is designed and implemented for efficient and effective interaction between companies and customers. It is worth mentioning here this system has some great feature like being aware of text, owning mobile user Interface and presenting location-based service. These features enable companies to design an advertisement in a purposeful way. Such these advertisements can effectively be sent to the population company which are on target. Finally, the system was evaluated. Reduction in cost and effectiveness of advertising are grounded in the result of the study

Prospective Analysis of the Mobile Health Information Systems in China

With the rapidly growing economy in the past few decades, people of China (mainland) are now enjoying increasingly more economic benefits than ever before. Of many growing technologies, mobile devices, especially cell phones, have been gaining popularity throughout the country. According to the latest statistics in 2007, more than one third of Chinese have cell phones. In addition to the basic uses of voice communication, cell phones have many other promising applications. Particularly, as a pervasive technology, mobile devices offer a great opportunity to deliver health information directly to people with an affordable cost. This paper analyzes the potential of mobile health information systems in China. This prospective analysis will be conducted from four important perspectives: technology, market demand, business model, and government policy

Market-Based Models for Digital Signage Network Promotion Management

Digital signage network (DSN) is capable of delivering customized content to designated screens in a real-time or near real-time manner, which provides tremendous potential for building dynamic demand stimulation tools. However current DSN media buying process is mainly carried out through manually conducted negotiation between the DSN operator and the advertisers. This practice does not capitalize the unique technology advantage offered by the newly emerged advertising medium. We propose automated DSN media buying models which allow advertisers to customize their promotion schedules in a highly responsive manner. Specifically, we design a direct revelation mechanism and an iterative bidding model for DSN promotion scheduling. We show that the direct revelation mechanism computes optimal solutions. We evaluate the revenue performance of the iterative bidding model through a computational study. The implementation of the iterative bidding mechanism is also described

Improving Inventory Control through Narrowcasting Promotion Management

Narrowcasting is a business-centric network management solution which integrates media devices such as digital screens, high-bandwidth communication channels, and media management systems for media content distribution. The real time integration of inventory management with the emerging narrowcasting promotion systems promises a new level of supply chain efficiency. We investigate system modeling and design aspects of narrowcasting-based inventory control, which are of importance in terms of developing software systems to materialize the potentials of narrowcasting as a highly responsive promotion media. We propose an extension to the classical news-vendor inventory model, which integrates the narrowcasting advertising component into the dynamic inventory management process. We also present a promotion scheduling model for narrowcasting-based inventory management. To demonstrate the application of the proposed models, we provide a complete case study in the context of quick service restaurant industry