Fairs for e-commerce: the benefits of aggregating buyers and sellers

In recent years, many new and interesting models of successful online business have been developed. Many of these are based on the competition between users, such as online auctions, where the product price is not fixed and tends to rise. Other models, including group-buying, are based on cooperation between users, characterized by a dynamic price of the product that tends to go down. There is not yet a business model in which both sellers and buyers are grouped in order to negotiate on a specific product or service. The present study investigates a new extension of the group-buying model, called fair, which allows aggregation of demand and supply for price optimization, in a cooperative manner. Additionally, our system also aggregates products and destinations for shipping optimization. We introduced the following new relevant input parameters in order to implement a double-side aggregation: (a) price-quantity curves provided by the seller; (b) waiting time, that is, the longer buyers wait, the greater discount they get; (c) payment time, which determines if the buyer pays before, during or after receiving the product; (d) the distance between the place where products are available and the place of shipment, provided in advance by the buyer or dynamically suggested by the system. To analyze the proposed model we implemented a system prototype and a simulator that allow to study effects of changing some input parameters. We analyzed the dynamic price model in fairs having one single seller and a combination of selected sellers. The results are very encouraging and motivate further investigation on this topic

Technology payment cards communication with banking institutions in the field of cashless payment

The aim is now used to describe the infrastructure of payment cards, ATMs, now used to describe the infrastructure of payment systems, mainly the payment cards and NFC technology and secure payment throw the internet. In this article, we examine a new technology application which is coming into its own around the world, in association with the revolution in wireless connectivity. Our findings are intended to guide in dealing with the economic aspects of mobile payments, and to help identify some important directions for the research

Practices of Using Blockchain Technology in ICT under the Digitalization of the World Economy

Abstract. Pursuing the purpose of effective functioning in today's conditions, the business is forced to transform rapidly, to modernize at all levels. The world is changing, erasing the limits of its certainty. Companies need quality transformations and strategies that are effective in the face of rapid change towards "deep" digitization. Massive corporate management systems increasingly need the flexibility to keep pace with change. And companies with an innovative culture are more in need of creative tasks than implementing detailed regulations. In the post-industrial time of digital economy, issues related to the development of the information sphere, the media and communications, the usage of modern information systems to develop the economy and stabilize social development as a whole, come first. The basic principles of practical application of Blockchain are investigated in the work. The stages of development of Blockchain technology, the stages of development of Blockchain technologies by time, the application of distributed registry technology in Blockchain applications, the principles of construction and operation of Blockchain have been specified. The benefits of using NEM for business are substantiated and the components of Proxima X technology, protocols and service layers, on-line and off-line protocols, decentralized applications are exposed

A dynamic pricing model for unifying programmatic guarantee and real-time bidding in display advertising

There are two major ways of selling impressions in display advertising. They are either sold in spot through auction mechanisms or in advance via guaranteed contracts. The former has achieved a significant automation via real-time bidding (RTB); however, the latter is still mainly done over the counter through direct sales. This paper proposes a mathematical model that allocates and prices the future impressions between real-time auctions and guaranteed contracts. Under conventional economic assumptions, our model shows that the two ways can be seamless combined programmatically and the publisher's revenue can be maximized via price discrimination and optimal allocation. We consider advertisers are risk-averse, and they would be willing to purchase guaranteed impressions if the total costs are less than their private values. We also consider that an advertiser's purchase behavior can be affected by both the guaranteed price and the time interval between the purchase time and the impression delivery date. Our solution suggests an optimal percentage of future impressions to sell in advance and provides an explicit formula to calculate at what prices to sell. We find that the optimal guaranteed prices are dynamic and are non-decreasing over time. We evaluate our method with RTB datasets and find that the model adopts different strategies in allocation and pricing according to the level of competition. From the experiments we find that, in a less competitive market, lower prices of the guaranteed contracts will encourage the purchase in advance and the revenue gain is mainly contributed by the increased competition in future RTB. In a highly competitive market, advertisers are more willing to purchase the guaranteed contracts and thus higher prices are expected. The revenue gain is largely contributed by the guaranteed selling.Comment: Chen, Bowei and Yuan, Shuai and Wang, Jun (2014) A dynamic pricing model for unifying programmatic guarantee and real-time bidding in display advertising. In: The Eighth International Workshop on Data Mining for Online Advertising, 24 - 27 August 2014, New York Cit