Cargando…

The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing

The internet has provided a new means for manufacturers to reach consumers. On the background of the widespread multichannel sales in China, based on a literature review of the service game and multichannel supply chain, this paper builds a multichannel dynamic service game model where the retailer...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Yimin, Chen, Xingli, Li, Qiuxiang, Ma, Xiaogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512421/
https://www.ncbi.nlm.nih.gov/pubmed/33266582
http://dx.doi.org/10.3390/e20110858
_version_ 1783586154086400000
author Huang, Yimin
Chen, Xingli
Li, Qiuxiang
Ma, Xiaogang
author_facet Huang, Yimin
Chen, Xingli
Li, Qiuxiang
Ma, Xiaogang
author_sort Huang, Yimin
collection PubMed
description The internet has provided a new means for manufacturers to reach consumers. On the background of the widespread multichannel sales in China, based on a literature review of the service game and multichannel supply chain, this paper builds a multichannel dynamic service game model where the retailer operates an offline channel and the manufacturer operates an online channel and offers customers the option to buy online and pick up from the retailer’s store (BOPS). The manufacturer and the retailer take maximizing the channel profits as their business objectives and make channel service game under optimal pricing. We carry on theoretical analysis of the model and perform numerical simulations from the perspective of entropy theory, game theory, and chaotic dynamics. The results show that the stability of the system will weaken with the increase in service elasticity coefficient and that it is unaffected by the feedback parameter adjustment of the retailer. The BOPS channel strengthens the cooperation between the manufacturer and the retailer and moderates the conflict between the online and the offline channels. The system will go into chaotic state and cause the system’s entropy to increase when the manufacturer adjusts his/her service decision quickly. In a chaotic state, the system is sensitive to initial conditions and service input is difficult to predict; the manufacturer and retailer need more additional information to make the system clear or use the method of feedback control to delay or eliminate the occurrence of chaos.
format Online
Article
Text
id pubmed-7512421
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75124212020-11-09 The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing Huang, Yimin Chen, Xingli Li, Qiuxiang Ma, Xiaogang Entropy (Basel) Article The internet has provided a new means for manufacturers to reach consumers. On the background of the widespread multichannel sales in China, based on a literature review of the service game and multichannel supply chain, this paper builds a multichannel dynamic service game model where the retailer operates an offline channel and the manufacturer operates an online channel and offers customers the option to buy online and pick up from the retailer’s store (BOPS). The manufacturer and the retailer take maximizing the channel profits as their business objectives and make channel service game under optimal pricing. We carry on theoretical analysis of the model and perform numerical simulations from the perspective of entropy theory, game theory, and chaotic dynamics. The results show that the stability of the system will weaken with the increase in service elasticity coefficient and that it is unaffected by the feedback parameter adjustment of the retailer. The BOPS channel strengthens the cooperation between the manufacturer and the retailer and moderates the conflict between the online and the offline channels. The system will go into chaotic state and cause the system’s entropy to increase when the manufacturer adjusts his/her service decision quickly. In a chaotic state, the system is sensitive to initial conditions and service input is difficult to predict; the manufacturer and retailer need more additional information to make the system clear or use the method of feedback control to delay or eliminate the occurrence of chaos. MDPI 2018-11-08 /pmc/articles/PMC7512421/ /pubmed/33266582 http://dx.doi.org/10.3390/e20110858 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Yimin
Chen, Xingli
Li, Qiuxiang
Ma, Xiaogang
The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title_full The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title_fullStr The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title_full_unstemmed The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title_short The Complexity and Entropy Analysis for Service Game Model Based on Different Expectations and Optimal Pricing
title_sort complexity and entropy analysis for service game model based on different expectations and optimal pricing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512421/
https://www.ncbi.nlm.nih.gov/pubmed/33266582
http://dx.doi.org/10.3390/e20110858
work_keys_str_mv AT huangyimin thecomplexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT chenxingli thecomplexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT liqiuxiang thecomplexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT maxiaogang thecomplexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT huangyimin complexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT chenxingli complexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT liqiuxiang complexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing
AT maxiaogang complexityandentropyanalysisforservicegamemodelbasedondifferentexpectationsandoptimalpricing