Reference Buyer problem Seller problem The number of rounds The number of attributes Disclosure of buyer’s information Disclosure of seller’s information For other sellers Buyer [15 ] Determining the highest score by the scoring function Equilibrium solution for bayesian games Multiround Two Open Cost distribution function Sealed [14 ] Predicting the cost function of sellers by using reverse optimization and maximizing utility Utility function Multiround Two or more Sealed Open Estimating the parametric form of the cost function [18 ] Maximizing the efficiency Maximizing the efficiency Single-round Two or more Open Open Cost function [23 ] Data envelopment analysis model with goal of maximizing utility function — Two-round Two or more The function of prioritizing in first round and private attributes in second round Sealed Sealed [22 ] The data envelopment analysis model aims to maximize the probability of determining the winner in the next round — Multiround Two or more Sealed Sealed Providing the level of attributes for previous winning bids, minimum threshold levels for noncompetitive attributes, and the relative importance of attributes by the online platform [19 ] Maximizing the expected score Maximizing expected utility Single-round Two Scoring distribution function Sealed Bids distribution function [17 ] Maximizing the utility function Maximizing the profit Multiround Two or more Estimation of the Sealed Sealed [7 ] Fuzzy minimization of cost of purchase (price) and expected delivery time difference, with proposed delivery time and objective function of the seller Profit maximization considering the satisfaction of the constraints on the seller’s production program Single-round Two or more Master production schedule Sealed Sealed [20 ] Minimizing the purchase costs Maximizing the profit Single-round Two or more Open Sealed Sealed [16 ] Maximizing the utility function Maximizing the utility function Multiround Two or more Sealed Sealed Sealed [26 ] Maximizing the score by BOCR-uRTODIM framework — Single-round Two or more Sealed Sealed Sealed [21 ] Maximizing the payoff based on evolutionary game — Multiround Two or more Sealed Sealed Sealed The current paper Determining the highest score by the scoring function Profit maximization and minimizing the distance to the ideal buyer’s bid Multiround Two or more Estimation of scoring function by online auction service provider using artificial neural network Sealed Sealed
