The online auction market has been growing rapidly, but what are the significant effects on Taiwan? Based upon the 80/20 rule and the Long Tail, the paper started its observation by taking Yahoo Auction platform as a case study and found a negative co-variance existing between performance and the number of online sellers. A further analysis showed that these 20% sellers promoted more items of g...

T paper defines a unique type of product or service offering, termed probabilistic goods, and analyzes a novel selling strategy, termed probabilistic selling (PS). A probabilistic good is not a concrete product or service but an offer involving a probability of getting any one of a set of multiple distinct items. Under the probabilistic selling strategy, a multi-item seller creates probabilisti...

We analyze a dynamic version of the Akerlof±Wilson ``lemons'' market in a competitive durable good setting. There is a ®xed set of sellers with private information about the quality of their wares. The price mechanism sorts sellers of different qualities into different time periodsÐprices and average quality of goods traded increase over time. Goods of all qualities are traded in ®nite time. Ma...

The Internet commerce technologies have significantly reduced sellers’ costs of collecting buyer preference information and managing multiple prices, enabling cost efficient custom product design and differentiated pricing. Advanced manufacturing technologies have also improved sellers’ manufacturing flexibility. We show that an early adopter of customization has a firstmover advantage, support...

Although combinatorial reverse auction has attracted much attention recently, most studies focus on problems with single buyer and multiple sellers. In this paper, we will study combinatorial reverse auction with multiple buyers and multiple sellers. We propose the concept of proxy buyer to deal with this problem. The proxy buyer consolidates the demands from the buyers and then holds a reverse...

We consider a simple dynamic “collective reputation” model of a market for an expericence good into which we introduce imperfect quality inspections. In each period two markets operate: a market for sellers who have been “honest” in the past, and a market for sellers who have been “dishonest” in the past. In every period, the quality of produced goods is inspected, and those sellers who have be...

In this paper, we propose a reputation oriented reinforcement learning algorithm for buying and selling agents in electronic market environments. We take into account the fact that multiple selling agents may offer the same good with different qualities. In our approach, buying agents learn to avoid the risk of purchasing low quality goods and to maximize their expected value of goods by dynami...

In this paper, we propose a reputation oriented reinforcement learning algorithm for buying and selling agents in electronic market environments. We take into account the fact that multiple selling agents may offer the same good with different qualities. In our approach, buying agents learn to avoid the risk of purchasing low quality goods and to maximize their expected value of goods by dynami...

Advances in technology enable sellers to price discriminate based upon a customer’s revealed purchasing intentions. E-tailers can track items already in a “shopping cart” and item level RFID tags enable retailers to do the same in bricks and mortar stores. As retailers attempt to leverage the information made available from these technologies, it is important to understand how this new visibili...

In a competitive dynamic durable good market where sellers have private information about quality, I identify certain ineffi ciencies that arise due to heterogeneity in buyers’ valuations. Even if the market induces dynamic sorting among sellers and all goods are eventually traded, ineffi ciency can arise because high valuation buyers buy early when low quality goods are sold, while high qualit...