A Two-Stage Pricing Study of Product Line Considering Value-Added Services

With the advancement of society and technology, consumers are becoming more personalized and more willing to buy new products. To meet the diverse needs of consumers, the design and development of product lines have become an important strategic issue of enterprises. Based on the consumer choice model, this paper aims at the design and development of product lines and the purchase behavior of consumers. A two-stage pricing model is constructed under the condition of bundled sales of products and services. This paper analyzes the impact that enterprises should consider products with value-added services and consumers’ purchasing behavior on product line two-stage pricing. Research shows that the level of product value-added services and the degree of enterprise strategy will have an impact on the price of the product line and the enterprise’s profit. When the service level is higher, the enterprise’s product line price and profit will increase, and when the enterprise discount higher, the enterprise’s total profit and product line price will decrease.

[1]  Ying Tang,et al.  Stochastic Hybrid Discrete Grey Wolf Optimizer for Multi-Objective Disassembly Sequencing and Line Balancing Planning in Disassembling Multiple Products , 2022, IEEE Transactions on Automation Science and Engineering.

[2]  Mengchu Zhou,et al.  A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems , 2021, Inf. Sci..

[3]  Lifei Sheng,et al.  Incentivized Actions in Freemium Games , 2016 .

[4]  Chunguang Bai,et al.  Inventory and pricing decisions when dealing with strategic consumers: A comprehensive analysis , 2021, Comput. Oper. Res..

[5]  Abdullah Abusorrah,et al.  Disassembly Sequence Planning: A Survey , 2021, IEEE/CAA Journal of Automatica Sinica.

[6]  MengChu Zhou,et al.  Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem , 2021, IEEE/CAA Journal of Automatica Sinica.

[7]  Chi Zhou,et al.  Two-period discount pricing strategies for an e-commerce platform with strategic consumers , 2020, Comput. Ind. Eng..

[8]  Debabrata Ghosh,et al.  Sponsored search advertising and dynamic pricing for perishable products under inventory-linked customer willingness to pay , 2019, Eur. J. Oper. Res..

[9]  Yang Yu,et al.  Product Line Pricing under Marginal Moment Model with Network Effect , 2019, Complex..

[10]  Kannan Srinivasan,et al.  Freemium as an Optimal Strategy for Market Dominant Firms , 2018, Mark. Sci..

[11]  Elif Dogu,et al.  Criteria evaluation for pricing decisions in strategic marketing management using an intuitionistic cognitive map approach , 2018, Soft Comput..

[12]  Xiaobo Zhao,et al.  A newsvendor problem with boundedly rational strategic customers , 2017, Int. J. Prod. Res..

[13]  Jihwan Moon,et al.  Product Line Bundling: Why Airlines Bundle High-End While Hotels Bundle Low-End , 2017, Mark. Sci..

[14]  Zizhuo Wang,et al.  Optimal Pricing for a Multinomial Logit Choice Model with Network Effects , 2016, Oper. Res..

[15]  Yogesh V. Joshi,et al.  Turf Wars: Product Line Strategies in Competitive Markets , 2015, Mark. Sci..

[16]  T. C. Edwin Cheng,et al.  Make-or-buy service capacity decision in a supply chain providing after-sales service , 2014, Eur. J. Oper. Res..

[17]  S. Gilbert,et al.  Product Line Extensions and Technology Licensing with a Strategic Supplier , 2013 .

[18]  Hongmin Li,et al.  Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications , 2011, Manuf. Serv. Oper. Manag..

[19]  Joseph M. Milner,et al.  Revenue Management with End-of-Period Discounts in the Presence of Customer Learning , 2010 .

[20]  Yuri Levin,et al.  Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition , 2009, Manag. Sci..

[21]  Ward Hanson,et al.  Optimizing Multinomial Logit Profit Functions , 1996 .