Auctions are a fundamental mechanism to automate negotiations in electronic commerce. We consider a class of multi-lateral negotiation situations, which requires negotiation on multiple attributes of a deal. These situations are typical for corporate procurement. Current auction implementations do not support these negotiations adequately. In the paper we propose multi-attribute auctions, an ec...

This study seeks to better understand bidding decision support in multi-attribute reverse auctions. It views bidding as a decision making process and attempts to determine how tools that aid different stages of the decision making process affect the quality of the bids submitted. Two experiments reveal that decision support tools that impact all the stages of a bidder's decision making process ...

The advent of the Internet and the development of the Next Generation Network (NGN) have enabled the development of value added services (VAS), while operators’ investments in licenses and their desire to stay competitive on the market have triggered the development. When forming VAS, special attention needs to be paid to the purchase of resources (e.g., transport capacity and content) needed f...

Electronic auction markets collect large amounts of auction field data. This enables a structural estimation of the bid distributions and the possibility to derive optimal reserve prices. In this paper we propose a new approach to setting reserve prices. In contrast to traditional auction theory we use the buyer’s risk statement for getting a winning bid as a key criterion to set an optimal res...

Considering multiple attributes while evaluating request for quotes (RFQs) responses from suppliers is gaining significant importance in industrial procurement. While price has traditionally been the most important factor in evaluating RFQ responses, incorporation of non-price attributes such as quality and delivery performance is becoming essential and critical. Research on multi-attribute RFQ...

Multi-attribute reverse auction-based procurement has been widely used by large organizations. The attributes of the auctioned objects are usually divided into two groups: technical and business attributes. They are reviewed and scored by technical and business experts who act as referees in the bid evaluation process. To analyze their bid evaluation behavior, we built a model for a multi-attri...

Abstract The incentive mechanism of federated learning has been a hot topic, but little research done on the compensation privacy loss. To this end, study uses Local SGD federal framework and gives theoretical analysis under use differential protection. Based analysis, multi‐attribute reverse auction model is proposed to be used for user selection as well payment calculation participation in le...

Recent years have seen an enormous increase in the role of information technology in markets. During the past few years, economists, game theorists, and computer scientists have started to take a direct role by designing various kinds of market mechanisms for electronic markets in various industries. What is so special about "electronic" market design is the fact that a designer has many more p...

We present an innovative intrusion detection model based on autonomic computing to extend the passive detection mechanism in a traditional intrusion detection system (IDS). Centered on an autonomic manager, this model introduces a multi-attribute auction mechanism in the agent coordination layer to perceive environmental changes, manage and allocate resources, and achieve an active response to ...

This study focuses on mechanism design in order to solve multi-attribute e-procurement problems. In particularly, this study addresses two realistic requirements in mechanism design: (1) specifications of request/proposal on multiple attributes, and (2) incentive compatibility on information exchange/disclosure. Taking into account the needs and emergence of advanced mechanisms in eprocurement,...