A Novel Auction Blockchain System with Price Recommendation and Trusted Execution Environment

Online auctions are now widely used, with all the convenience and efficiency brought by internet technology. Despite the advantages over traditional auction methods, some challenges still remain in online auctions. According to the World Business Environment Survey (WBES) conducted by the World Bank, about 60% of companies have admitted to bribery and manipulation of the auction results. In addition, buyers are prone to the winner’s curse in an online auction environment. Since the increase in information availability can reduce uncertainty, easy access to relevant auction information is essential for buyers to avoid the winner’s curse. In this study, we propose an Online Auction Price Suggestion System (OAPSS) to protect the data from being interfered with by third-party programs based on Intel’s Software Guard Extensions (SGX) technology and the characteristics of the blockchain. Our proposed system provides a smart contract by using α-Sutte indicator in the final transaction price prediction as a bidding price recommendation, which helps buyers to reduce the information uncertainty on the value of the product. The amount spent on the smart contract in this study, excluding deployed contracts, plus the rest of the fees is less than US$1. Experimental results of the simulation show that there is a significant difference (p < 0.05) between the recommended price group and the actual price group in the highest bid. Therefore, we may conclude that our proposed bidder’s price recommendation function in the smart contract may mitigate the loss of buyers caused by the winner’s curse.

Exploring Sellers' Experiences in the C2C Online Auction Environment

<p>Online auction websites are becoming increasingly important as an intermediary for both sellers and buyers. They offer consumers an alternative source of goods to those sold at retail stores and other second-hand traditional consumer-to-consumer (C2C) channels, such as garage sales or flea markets. They also represent a new market model which incorporates a new distribution channel and a new means of establishing prices. Some researchers predict that retailers are now facing a new competition and the potential for declining sales as a result of the cannibalisation effect of the C2C online auction market. Noticeably, although much research has been carried out in an attempt to understand online auctions in relation to buying behaviour, little effort has been made to investigate the dynamic nature of individual sellers, in particular C2C sellers, in the online auction environment. Therefore, this study is aimed at filling in the gaps by exploring the sellers' behaviour and experiences in the C2C online auction environment. Its objectives are: (1) to explore the learning process that individual sellers go through in the C2C online auction environment; and (2) to find out what skills and techniques are commonly used by sellers and how these skills have been applied when marketing their products in the online auction environment. This study used a qualitative method, and a market-oriented ethnography was adopted. Data was collected through semi-structured in-depth interviews with sellers on TradeMe and from a wide range of archival documents. Nineteen sellers were recruited to participate into this study. Consequently, a learning model has been built, based on the consumer socialisation model, to explain the learning process of sellers as they become experienced in the C2C online auction environment. The findings from this study highlighted that sellers went through a learning process to become more experienced in online auctions. Moreover, different learning methods occurred at different stages of the learning process, including social interaction, observing and imitating, rewards and punishments, and other sources of information. This study also demonstrated the fact that sellers both implicitly and explicitly perceived the importance of marketing strategies and tactics and had extensively applied them. Several implications and recommendations arise from this study, including the need for more in-depth research on sellers' behaviour and experiences, using a longitudinal approach. Additionally, it is recommended that TradeMe should continue to improve their auction site in order to attract more sellers which, in turn, will lead to a greater number of buyers.</p>

Exploring Sellers' Experiences in the C2C Online Auction Environment

<p>Online auction websites are becoming increasingly important as an intermediary for both sellers and buyers. They offer consumers an alternative source of goods to those sold at retail stores and other second-hand traditional consumer-to-consumer (C2C) channels, such as garage sales or flea markets. They also represent a new market model which incorporates a new distribution channel and a new means of establishing prices. Some researchers predict that retailers are now facing a new competition and the potential for declining sales as a result of the cannibalisation effect of the C2C online auction market. Noticeably, although much research has been carried out in an attempt to understand online auctions in relation to buying behaviour, little effort has been made to investigate the dynamic nature of individual sellers, in particular C2C sellers, in the online auction environment. Therefore, this study is aimed at filling in the gaps by exploring the sellers' behaviour and experiences in the C2C online auction environment. Its objectives are: (1) to explore the learning process that individual sellers go through in the C2C online auction environment; and (2) to find out what skills and techniques are commonly used by sellers and how these skills have been applied when marketing their products in the online auction environment. This study used a qualitative method, and a market-oriented ethnography was adopted. Data was collected through semi-structured in-depth interviews with sellers on TradeMe and from a wide range of archival documents. Nineteen sellers were recruited to participate into this study. Consequently, a learning model has been built, based on the consumer socialisation model, to explain the learning process of sellers as they become experienced in the C2C online auction environment. The findings from this study highlighted that sellers went through a learning process to become more experienced in online auctions. Moreover, different learning methods occurred at different stages of the learning process, including social interaction, observing and imitating, rewards and punishments, and other sources of information. This study also demonstrated the fact that sellers both implicitly and explicitly perceived the importance of marketing strategies and tactics and had extensively applied them. Several implications and recommendations arise from this study, including the need for more in-depth research on sellers' behaviour and experiences, using a longitudinal approach. Additionally, it is recommended that TradeMe should continue to improve their auction site in order to attract more sellers which, in turn, will lead to a greater number of buyers.</p>

Bidding Better Online in Belgium: The Value of Auction House Expertise during the COVID-19 Pandemic

In this article, we present our analysis of how one of Belgium’s largest auction houses has creatively dealt with the forced transition to online auctions during the COVID-19 pandemic. Based on in-depth qualitative interviews and participant observation conducted at Bernaerts Auctioneers in Antwerp over a period of three months between February and April 2021, we show how the auction house has succeeded at maintaining relations with its clients and the public while exclusively moving its sales online. Our specific focus was on the mediation of expertise. Drawing on recent publications from the fields of economic sociology and anthropology, we analyzed how expert narratives of origin, authenticity, and uniqueness are communicated online to affect an object’s auction value. Based on our empirical research, which also includes narrative analyses of Bernaerts Auctioneers’ internet publication Prelude, as well as content shared online via social media, we argue that expert knowledge and practices of expertise are resilient and—contrary to what neoclassical economic theory might suggest—that they continue to be central to negotiations of value, as well as in online auctions.

Bundling Decisions for Selling Multiple Items in Online Auctions

Fueled by the widespread use of the internet, more and more ordinary people have now become merchandise sellers who sell their own possessions, such as antique collections and limited souvenirs, to buyers who are interested in such goods via online auctions. This study examines the decision making related to the bidding strategies used in online auctions by both sellers and buyers. When selling goods for which there is a limited supply, sellers consider whether to sell the single homogenous items in multiple, simultaneous auctions or all the items in a single auction. Moreover, when selling heterogeneous but associated goods, sellers may decide to bundle the items for sale or not with an aim of increasing the potential buyers’ willingness to make a purchase. We investigate the effects that various factors related to the bidding strategies used in online auctions, such as the base price and duration of the auction determined by the seller and the bidding price decided by the buyer, have on the seller’s profit, and the utilities of both parties are considered to derive the equilibrium solutions. This study contributes to the literature by proposing an online auction framework that focuses more on individual sellers selling a limited quantity of items with an aim to establish a favorable online auction for both sellers and buyers and earn more profits for sellers. The results show that the base prices and direct purchase prices should be unestablished to achieve the most attractive characteristics of online auctions, which would encourage more buyers to freely place bids. As a result, the bidding items would have more chances to be eventually obtained by the buyer who places the highest bid, which, thus, maximizes the seller’s profit.

Design and Implementation of an online auction in Al-Somhan showroom with Information Technology and Information

E-commerce is one of the best current trade because it contains many advantages and ease of traditional trade, especially at the time of the current pandemic. Therefore, most governmental and private institutions are trying to electronic transformation as soon as possible to stay on the commercial scene. Among these institutions is the Al Somhan Used Cars Exhibition. Therefore, this research paper will discuss the process of design and implementation of an online auction site for the Al Somahan Used Cars Exhibition. First, there will be a study and strategies on the transition from the traditional auction to the electronic auction, and what are the strategies for the technology that will be used in this transformation. Some comparisons will be made between online auctions such as eBay, Amazon, Copart ... and others. The paper will also contain some advantages and disadvantages in the online auction, the most important of which are security and fraud. The website design method will also be explained using the Visual Studio program. Also, the researcher will insert some diagrams, such as the use case diagram, class diagram, ERD...etc. Now a day people like to use their mobile phone too much so the mobile phone application will be design and implement to make life easy for the customers.

Online Auction System

Online auctions are now an immensely popular component of the electronic marketplace.Online Auction management system is a web based application which will help users to buy or sell item.This application will allow users to post their products for auction; bidder can register and can bid for any available product around their location.It is developed with the objective of making the system reliable, easier and fast and to sell or order the products on the website from our house.The online auction system is based on the concept where a product is valued for the highest price.In most online auctions, the products listed for an auction are located away from the bidders location.In our auction system, the bidders or buyers can view the products in auction process which is located around his surroundings.So that the bidder or buyer can participate in auction for his nearby products.