Analysis of Stackelberg Leadership Model Output Behavior under the Mechanism of Expanding Market Price

Tyrone T. Lin, Shu Yen Hsu, Chiao Chen Chang

研究成果: 書貢獻/報告類型會議貢獻

摘要

This study explores the competitive mechanism of firms in a duopolistic market and constructs a model of duopolistic firms' optimal output and maximum profit according to the Stackelberg Leadership Model. By taking Taiwan's dairy market as an example, the paper analyzes how the leading firm, in the state of full information disclosure, makes decision analysis to determines its output strategy according to the reaction function of the follower firm. At the same time, the output strategy of the follower firm is determined according to the output strategies of the leading firm. The action of the firms has sequence, and through the dynamic cycle process to achieve the market equilibrium and to maximize the oligopolistic firm profit.

原文英語
主出版物標題2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
發行者IEEE Computer Society
頁面1603-1607
頁數5
ISBN(電子)9781538667866
DOIs
出版狀態已發佈 - 一月 9 2019
事件2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 - Bangkok, 泰国
持續時間: 十二月 16 2018十二月 19 2018

出版系列

名字IEEE International Conference on Industrial Engineering and Engineering Management
2019-December
ISSN(列印)2157-3611
ISSN(電子)2157-362X

會議

會議2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
國家泰国
城市Bangkok
期間12/16/1812/19/18

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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  • 引用此

    Lin, T. T., Hsu, S. Y., & Chang, C. C. (2019). Analysis of Stackelberg Leadership Model Output Behavior under the Mechanism of Expanding Market Price. 於 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018 (頁 1603-1607). [8607624] (IEEE International Conference on Industrial Engineering and Engineering Management; 卷 2019-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2018.8607624