On Pure-Strategy Nash Equilibria in a Duopolistic Market Share Model

Author:

Binner J. M.1,Ciardiello F.2,Fletcher L. R.3,Kolokoltsov V. N.45

Affiliation:

1. Birmingham Business School, University of Birmingham, Edgbaston Park Rd, Birmingham B15 2TY, UK

2. Management School, University of Sheffield, Conduit Rd, Sheffield B15 2TY, UK

3. School of Computing and Mathematical Sciences, Liverpool John Moores University, Byrom St, Liverpool L3 3AF, UK

4. Department of Statistics, University of Warwick Coventry CV4 7AL, UK

5. Faculty Applied Mathematics and Control Processes, St. Petersburg State University (Russia), FRC CSC Russian Academy of Science, Russia

Abstract

This paper develops a duopolistic discounted marketing model with linear advertising costs and advertised prices for mature markets still in expansion. Generic and predatory advertising effects are combined together in the model. We characterize a class of advertising models with some lowered production costs. For such a class of models, advertising investments have a no-free-riding strict Nash equilibrium in pure strategies if discount rates are small. We discuss the entity of this efficiency at varying of parameters of our advertising model. We provide a computational framework in which market shares can be computed at equilibrium, too. We analyze market share dynamics for an asymmetrical numerical scenario where one of the two firms is more effective in generic and predatory advertising. Several numerical insights on market share dynamics are obtained. Our computational framework allows for different scenarios in practical applications and it is developed, thanks to Mathematica software.

Publisher

World Scientific Pub Co Pte Lt

Subject

Statistics, Probability and Uncertainty,Business and International Management,General Computer Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3