A dynamic model of repositioning with a Markov-switching regime

Author:

Ebina TakeshiORCID,Nishide KatsumasaORCID

Abstract

AbstractRepositioning products and services to entice customers is a key management strategy that requires careful planning, timing, and budget allocation. This study is the first to investigate repositioning strategies by considering a Hotelling-type location model where consumer preferences change over time with short- and long-term uncertainty. This requires the firm to adjust its product positioning to continue to appeal to consumers. A key assumption is that the parameters describing the dynamics of consumer preferences are modulated by a Markov-switching regime representing long-term uncertainty. Further, this study investigates the effects of regime shift intensity on repositioning strategies. We numerically solve a simultaneous ordinary differential equation system to derive a firm’s optimal strategy, represented by repositioning thresholds that depend on the regimes. We find that in the two-regime case, one threshold is monotonic with respect to the regime shift intensity, whereas the other can be non-monotonic. This suggests that a firm should simultaneously consider the value of the current regime and option value of waiting for a regime shift, thus effectively demonstrating the significance of the uncertainty associated with regime-switching.

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

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