Behavior-based pricing in service differentiated industries

Ma Dong-Sheng; Song Hua-Ming

doi:10.3934/jdg.2020027

Article Contents

2020, Volume 7, Issue 4: 351-364. Doi: 10.3934/jdg.2020027

This issue Previous Article Pricing equilibrium of transportation systems with behavioral commuters Next Article Replicator dynamics: Old and new

Behavior-based pricing in service differentiated industries

Ma Dong-Sheng and
Song Hua-Ming^,

School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China

^* Corresponding author: Hua-Ming Song
^* Corresponding author: Hua-Ming Song

Received: June 2020

Revised: June 2020

Early access: August 2020

Published: October 2020

This paper is supported by NSFC grant 71172105 and 71571102

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Abstract

Firms often upgrade service level to enhance their profitability, which leads to competing firms at service disadvantages using behavior-based pricing (BBP) strategy to fight back. The interaction between service differentiation and BBP affects the profits of both competitors. In order to explore the impact of BBP on the competition of firms with service differentiation, we use game theory method to construct a two-period dynamic pricing model. We explore the optimal BBP strategy by comparing and analyzing firms sub-game equilibrium profits. The main conclusions are as follows: (ⅰ) the degree of service differentiation and the relative service cost interact to influence firms optimal pricing strategy. Specifically, when the degree of service differentiation is low (high) and the relative service cost is small (large), both firms do not adopt (adopt) BBP. When the degree of service differentiation is low (high) but the relative service cost is large (small), competing firms have mixed strategic Nash equilibrium, and both firms have a certain probability to adopt BBP. (ⅱ) BBP can help low-service firms to make up for the profits loss caused by the service disadvantage under certain conditions. However, it can lead to fierce price competition, which will damage the profits of both.

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Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.

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Figure 1. Products market share segmentation

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Figure 2. Firms optimal pricing strategy with service differentiation

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Figure 3. Impact of BBP on firms' profits with service differentiation

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Table 1. Revenue matrix for firms with service differentiation

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Table 2. Revenue matrix for firms without service differentiation

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References

[1]	C. Choe, S. King and N. Matsushima, Pricing with cookies: Behavior-based price discrimination and spatial competition, Manag. Sci., 64 (2018), 5669-5687. doi: 10.1287/mnsc.2017.2873.
[2]	A. Dumrongsiri, M. Fan, A. Jain and K. Moinzadeh, A supply chain model with direct and retail channels, Eur. J. Oper. Res., 187 (2008), 691-718. doi: 10.1016/j.ejor.2006.05.044.
[3]	C. Fan, Y. Liu and and X. Chen, Pricing and service cooperation in BOPS implementation: Considering channel competition and consumer behavior, J. Syst. Eng., 147 (2018), 101-111.
[4]	L. Flees and T. Senturia, Its the after-sales service, stupid, Business Week Online, 2008.
[5]	D. Fudenberg and J. Tirole, Customer Poaching and Brand Switching, Rand J. Econom., 31 (2000), 634-657. doi: 10.2307/2696352.
[6]	Y. Jeong and M. Maruyama, Positioning and pricing strategies in a market with switching costs and staying costs, Inform. Econom. Policy, 44 (2018), 47-57. doi: 10.1016/j.infoecopol.2018.03.001.
[7]	B. Jing, Customer recognition in experience vs. inspection good markets, Manag. Sci., 62 (2016), 216-224. doi: 10.1287/mnsc.2014.2114.
[8]	B. Jing, Behavior-based pricing, production efficiency, and quality differentiation, Manag. Sci., 147 (2017), 2365-2376. doi: 10.1287/mnsc.2016.2463.
[9]	H. Kurata and S. H. Nam, After-sales service competition in a supply chain: Does uncertainty affect the conflict between profit maximization and customer satisfaction?, Internat. J. Prod. Econom., 144 (2013), 268-280. doi: 10.1016/j.ijpe.2013.02.014.
[10]	K. J. Li, Behavior-based pricing in marketing channels, Marketing Sci., 37 (2018), 310-326.
[11]	W. Li and J. Chen, Pricing and service competition in a brand-differentiated supply chain, Internat. J. Prod. Econom., 202 (2018), 97-108.
[12]	K. J. Li and S. Jain, Behavior-based pricing: An analysis of the impact of peer-induced fairness, Manag. Sci., 62 (2016), 2705-2721. doi: 10.1287/mnsc.2015.2265.
[13]	K. Liu, Y. Lan and W. Li, Behavior-based pricing between organic and general food enterprises, British Food J., 122 (2019), 107-121. doi: 10.1108/BFJ-08-2018-0500.
[14]	X. Qin, Q. Su, S. H. Huang, U. J. Wiersma and M. Liu, Service quality coordination contracts for online shopping service supply chain with competing service providers: Integrating fairness and individual rationality, Oper. Res., 19 (2017), 269-296. doi: 10.1007/s12351-016-0288-z.
[15]	Q. Shen and J. M. Villas-Boas, Behavior-based advertising, Manag. Sci., 64 (2018), 2047-2064. doi: 10.1287/mnsc.2016.2719.
[16]	C. R. Taylor, Supplier surfing: Competition and consumer behavior in subscription markets, RAND J. Econom., 34 (2003), 223-246.
[17]	L. Tian and Y. Xu, Dynamic channel selection and pricing based on customer behavior, J. Manag. Sci. China, 18 (2015), 39–51, 94.
[18]	J. M. Villas-Boas, Price cycles in markets with customer recognition, RAND J. Econom., 35 (2004), 486-501. doi: 10.2307/1593704.
[19]	L. Wang, H. Song and Y. Wang, Pricing and service decisions of complementary products in a dual-channel supply chain, Comput. Indust. Eng., 144 (2017), 223-233. doi: 10.3934/jimo.2018046.
[20]	C. H. Wu, Price and service competition between new and remanufactured products in a two-echelon supply chain, Internat. J. Prod. Econom., 140 (2012), 496-507. doi: 10.1016/j.ijpe.2012.06.034.
[21]	J. Xie, W. Zhang, Y. Xia, J. Yin and G. Yang, The revenue and cost sharing contract of pricing and servicing policies in a dual-channel closed-loop supply chain, J. Cleaner Prod., 191 (2018), 361-383. doi: 10.1051/ro/2019024.
[22]	F. Zhang, Y. Zhang and X. Xu, Retailer's return policy based on strategic consumer behavior, J. Manag. Sci. China, 11 (2017), 105-118.