Mobilizing a pluralist theoretical approach to understand microlending digital platforms: the AfricaMC case

Purpose This study aims to explore how a microlending digital platform connects social investors in developed countries and micro-entrepreneurs in Africa. However, additional research is necessary to discuss how online auction models are designed and implemented and how existing theories can explain their use in the so-called developing countries. Design/methodology/approach The research is based on a single case study: an online auction model for microlending named AfricaMC. Two main methods collected empirical data, namely, online participant observation, i.e. real-time participation in the online auction market and in the forum of discussions, where the authors observed the processes of microlending transactions as registered members; analysis of online documents, by reviewing forum discussions, analyzing reports, blogs, chats and other materials. Findings The results suggest that using sociological and information systems theoretical lenses in a complementary manner could provide greater value than using economics. Originality/value The study makes two main contributions. First, it mobilizes a pluralist theoretical approach based on economic, sociological and information systems perspectives to improve the understanding of microlending digital platforms using online auction models. Second, it uses the understanding produced from data analysis of one particular African case to validate propositions derived from these three theoretical approaches that might be applied to other cases.

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.

Auction Application for Beringkit Animal Traditional Market Based on Android

Beringkit Animal Market is one of the large traditional animal markets in Bali which is famous for selling superior cows. In addition to selling superior cows, Beringkit Animal Market also sells dogs and various types of poultry such as chickens, ducks and roosters. However, in the midst of the COVID-19 outbreak, traditional markets are considered as the main cluster for the spread of COVID-19 due to the large number of interactions between buyers and traders. The implementation of Community Activity Restrictions (PPKM) has resulted in a lack of income for traders at the Beringkit Animal Market. This study aims to design an Android-based online animal auction application as a medium for buying and selling animals to minimize physical interaction between buyers and traders, the online auction transaction process is chosen because the auction transaction process can bring together traders and buyers in the same online media and make offers up to reach the highest agreed price. The research method applied is the DSRM method or Design Security Research Method, application development uses Android Studio to develop mobile applications, and uses Visual Studio Code to develop web-based systems. Data storage and web server management in this study using MySQL and Laravel. The results of this study are in the form of an Android-based animal auction application that can be used as a medium for transactions between buyers and traders who have gone through the blackbox testing process with the test results as expected.

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>

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.

Anonymous Sealed-Bid Auction on Ethereum

In a competitive market, online auction systems enable optimal trading of digital products and services. Bidders can participate in existing blockchain-based auctions while protecting the confidentiality of their bids in a decentralized, transparent, secure, and auditable manner. However, in a competitive market, parties would prefer not to disclose their interests to competitors, and to remain anonymous during auctions. In this paper, we firstly analyze the specific requirements for blockchain-based anonymous fair auctions. We present a formal model tailored to study auction systems that facilitate anonymity, as well as a generic protocol for achieving bid confidentiality and bidder anonymity using existing cryptographic primitives such as designated verifier ring signature. We demonstrate that it is secure using the security model we presented. Towards the end, we demonstrate through extensive simulation results on Ethereum blockchain that the proposed protocol is practical and has minimal associated overhead. Furthermore, we discuss the complexity and vulnerabilities that a blockchain environment might introduce during implementation.

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.

Expectation, Disappointment, and Exit: Evidence on Reference Point Formation from an Online Marketplace

We study disappointment and platform exit among new bidders in an online auction marketplace. In particular, we study a hybrid auction format with a “Buy-It-Now” option which, when executed, will abruptly end the auction and cancel any standing bids. When this happens, if the formerly leading bidder is new to the platform, then they are 6 percentage points more likely to exit the marketplace for every additional day they spent in the lead. This is rationalized by disappointment-averse bidders with outside options and rational expectations about the likelihood of winning. Our explanation is validated by three ancillary predictions: when expectations are lowered by higher competing bids, there is no effect; sensitivity of exit is declining in prior experience, and, for bidders who do not exit, time in the lead during the first experience predicts a subsequent preference for fixed-price, rather than auction, listings.