Sharif University of Technology Scientia Iranica 1026-3098 27 3 2020 06 01 Optimal pricing in the presence of advance booking strategies for complementary supply chains 1616 1633 21223 10.24200/sci.2019.50604.1784 EN M. Noori-Daryan School of Industrial Engineering, College of Engineering, University of Tehran, Iran A.A. Taleizadeh School of Industrial Engineering, College of Engineering, University of Tehran, Iran M. Rabbani School of Industrial Engineering, College of Engineering, University of Tehran, Iran Journal Article 2018 03 15 Due to high competition, companies tend to improve their market share by applying different selling mechanisms such as online to offline commerce as an efficient selling mechanism in which the companies sells their products via both online and real stores. This study deals with a selling problem for two complementary supply chains including a supplier and a shopping center where the commodities are sold by a virtual and a traditional shopping center who present items as complementary shopping centers. It is assumed that market demand depends on price and service level so that they can purchase the item via both shopping centers based on their priorities. Also to analyze the reactions of the chain’s partners, different games such as Nash and Stackelberg game are deemed. <br />The aim is to obtain the closed-form solutions of the decision variables of the networks’ members in order to maximize their profits where the prices of different selling periods at each echelon of the chains are the decision variables of the model. The closed-form solutions are derived and the solutions are examined by a numeric example. In following, several sensitivity analyses on key factors are performed to determine efficient ones on the variables and profits. https://scientiairanica.sharif.edu/article_21223_982fb465f52c4285cbc0c680866a6217.pdf