Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (6): 240-254.doi: 10.16381/j.cnki.issn1003-207x.2021.0813
Previous Articles Next Articles
Received:2021-04-25
Revised:2021-11-14
Online:2024-06-25
Published:2024-07-03
Contact:
Feng Li
E-mail:fenglee@scut.edu.cn
CLC Number:
Feng Li,Qianni Wang. Optimal Pricing and Entry Time for Successive Generations of New Product in a Duopoly[J]. Chinese Journal of Management Science, 2024, 32(6): 240-254.
"
| 变量 | 变量含义 | 变量 | 变量含义 | 变量 | 变量含义 |
|---|---|---|---|---|---|
| 第1代产品市场总量 | 广告手段对消费者的说服率 | 第1代产品A的累计销售量 | |||
| 第2代产品市场总量 | 第1代产品口碑对消费者的说服率 | 第1代产品B的累计销售量 | |||
| 第1代产品A的价格策略 | 第2代产品口碑对消费者的说服率 | 第2代产品A的累计销售量 | |||
| 第1代产品B的价格策略 | 广告手段对产品A购买的影响 | 第2代产品B的累计销售量 | |||
| 第2代产品A的价格策略 | 购买产品A用户对他人购买A产品的说服率 | 已购买第1代产品A的“活跃”消费者 | |||
| 第2代产品B的价格策略 | 购买产品B用户对他人购买B产品的说服率 | 已购买第1代产品B的“活跃”消费者 | |||
| 第2代产品A上市后,第1代产品A的折扣价格 | 消费者的平均“活跃”时间 | 已购买第2代产品A的“活跃”消费者 | |||
第2代产品B上市后, 第1代产品B的折扣价格 | FINAl TIME(终止时间) | 已购买第2代产品B的“活跃”消费者 | |||
| 第2代产品A上市时间 | 第1代产品A的销售收益 | 第1代产品B的销售收益 | |||
| 第2代产品B上市时间 | 第2代产品A的销售收益 | 第2代产品B的销售收益 | |||
| 两代产品A的销售总收益 | 两代产品B的销售总收益 |
| 1 | Bass F M. A new product growth for model consumer durable[J].Management Science, 1969,15(5): 215-227. |
| 2 | Norton J A, Bass F M. A diffusion theory model of adoption and substitution for successive generations of high-technology products[J]. Management Science, 1987, 33(9): 1069-1086. |
| 3 | Savin S, Terwiesch C. Optimal product launch times in a duopoly: Balancing life-cycle revenues with product cost[J]. Operations Research. 2005, 53(1): 26-47. |
| 4 | Shen W, Duenyas I, Kapuscinski R. Optimal pricing, production, and inventory for new product diffusion under supply constraints[J]. Manufacturing & Service Operations Management, 2014, 16(1): 28-45. |
| 5 | Ho T H, Savin S, Terwiesch C. Managing demand and sales dynamics in new product diffusion under supply constraint[J].Management Science, 2002,48(2): 187-206. |
| 6 | 段永瑞, 尹佳. 基于巴斯模型的消费者推荐奖励和广告投入动态定价问题[J]. 中国管理科学, 2020, 28(8): 65-75. |
| Duan Y R, Yin J. Optimal dynamic pricing of consumer referral reward and advertising investment based on Bass model[J]. Chinese Journal of Management Science, 2020, 28(8): 65-75. | |
| 7 | Krishnan T V, Jain D C. Optimal dynamic advertising policy for new products[J]. Management Science, 2006, 52(12): 1957-1969. |
| 8 | Peers Y, Fok D, Franses P H. Modeling seasonality in new product diffusion[J]. Marketing Science, 2012, 31(2): 351-364. |
| 9 | Fibich G, Gibori R. Aggregate diffusion dynamics in agent: Based models with a spatial structure[J]. Operations Research, 2010, 58(5): 1450-1468. |
| 10 | 危小超, 李岩峰, 聂规划, 等. 基于后悔理论与多Agent模拟的新产品扩散消费者决策互动行为研究[J]. 中国管理科学, 2017, 25(11): 66-75. |
| Wei X C, Li Y F, Nie G H, et al. Research on consumer decision-making interaction behavior in new product diffusion based on regret theory and multi-agent simulation[J]. Chinese Journal of Management Science, 2017, 25(11): 66-75. | |
| 11 | 魏莹,李锋.广告和口碑共同作用下的两阶段产品定价问题[J].计算机集成制造系统,2017,23(11): 2541-2552. |
| Wei Y, Li F. Impact of advertising and word-of-mouth effect on two-stage pricing decisions[J]. Computer Integrated Manufacturing Systems,2017, 23(11): 2541-2552. | |
| 12 | Negahban A, Smith J S. The effect of supply and demand uncertainties on the optimal production and sales plans for new products[J]. International Journal of Production Research, 2016, 54(13): 3852-3869. |
| 13 | Li H. Optimal pricing under diffusion-choice models [J]. Operations Research, 2020, 68(1): 115-133. |
| 14 | Nadar E, Kaya B E, Guler K. New-product diffusion in closed-loop supply chains[J]. Manufacturing & Service Operations Management, 2020, 23(6): 1413-1430. |
| 15 | Guo Z, Chen J. Multigeneration product diffusion in the presence of strategic consumers[J]. Information Systems Research, 2018, 29(1): 206-224. |
| 16 | Lobel I, Patel J, Vulcano G, et al. Optimizing product launches in the presence of strategic consumers[J]. Management Science, 2016, 62(6): 1778-1799. |
| 17 | Neganhban A, Smith J S. Optimal production-sales policies and entry time for successive generations of new products[J]. International Journal of Production Economics, 2018, 199: 220-232. |
| 18 | Krankel R M, Duenyas I, Kapuscinski R. Timing successive product introductions with demand diffusion and stochastic technology improvement[J].Manufacturing & Service Operations Management,2006,8(2): 119-135. |
| 19 | Sale R S, Mesak H I, Inman RA. A dynamic marketing-operations interface model of new product updates[J]. European Journal of Operational Research, 2017, 257: 233-242. |
| 20 | Jiang Z, Jain D C. A generalized norton-bass model for multigeneration diffusion[J]. Management Science. 2012, 58(10): 1887-1897. |
| 21 | Ke T T, Shen Z J M, Li S. How inventory cost influences introduction timing of product line extensions[J]. Production and Operations Management, 2013, 22(5): 1214-1231. |
| 22 | McKie E C, Ferguson M E, Galbreth M R, et al. How do consumers choose between multiple product generations and conditions? An empirical study of iPad sales on eBay[J]. Production and Operations Management, 2018, 27(8): 1574-1594. |
| 23 | Libai B, Muller E, Peres R. The role of within-brand and cross-brand communications in competitive growth [J]. Journal of Marketing, 2009, 73(3): 19-34. |
| 24 | 王展昭. 考虑重复购买因素的品牌竞争对新产品扩散的影响研究——基于小世界网络的仿真环境[J]. 中国管理科学, 2019, 27(12): 164-174. |
| Wang Z Z. The analysis of affect mechanism of the brand competition to new products diffusion with repeat purchase: Based on the small-world network[J]. Chinese Journal of Management Science, 2019, 27(12): 164-174. | |
| 25 | Klastorin T, Tsai W. New product introduction: Timing, design, and pricing[J]. Manufacturing & Service Operations Management, 2004, 6(4): 302-320. |
| 26 | 李佩,魏航.基于企业技术水平的改进型新产品最优上市时间研究[J]. 管理工程学报, 2019, 33(1): 144-158. |
| Li P, Wei H. Optimal timing on introduction new generation products with the different technical level of the enterprise[J]. Journal of Industrial Engineering/Engineering Management, 2019, 33(1): 144-158. | |
| 27 | Shi X, Chumnumpan P. Modelling marketing dynamics of multi-brand and multi-generational products[J]. European Journal of Operational Research, 2019, 279: 199-210. |
| 28 | 张磊,李一军, 闫相斌. 基于竞争的多代产品扩散模型及其实证研究[J]. 系统工程理论与实践, 2008,28(12): 94-92. |
| Zhang L, Li Y J, Yan X B. Diffusion model and empirical study of the multi-generations products based on competition[J]. Systems Engineering-Theory & Practice, 2008,28(12): 94-92. | |
| 29 | Shi Y, Zou B, Yao X, et al. Do positive reviews of a previous-generation product benefit a next-generation product?[J]. Journal of Consumer Behaviour, 2021, 20(6): 1617-1628. |
| 30 | 李锋,魏莹.病毒式营销策略下的损失规避报童问题[J]. 系统管理学报, 2020, 29(4): 816-823. |
| Li F, Wei Y. Impact of viral marketing strategies on loss-averse newsvendor problem[J]. Journal of Systems & Management, 2020, 29(4): 816-823. |
| [1] | Xiaoqing Zhang, Xigang Yuan, Jiajia Chen, Qiang Wei, Baofeng Huo. Research on Trade-in Pricing Strategies for Consumer Goods Considering Customer Privacy Concerns [J]. Chinese Journal of Management Science, 2026, 34(6): 291-302. |
| [2] | Jianhong Chang, Peng Song, Lirong Wu. Personalized Pricing Strategy for Online Merchant Driven by Data Transactions [J]. Chinese Journal of Management Science, 2026, 34(6): 36-49. |
| [3] | Yiyi Jiang, Chen Hu, Yongbo Xiao, Shuna Wang. Pricing Strategy of a Ride-hailing Platform with Concern on Driver Welfare [J]. Chinese Journal of Management Science, 2026, 34(6): 228-238. |
| [4] | Xiaoyan Zhu, Jing Cui, Ting Zhang, Yunzhi Cao. Optimum of Pricing and Reimbursement Policy for Mixed Online and Offline Medical Service Considering Heterogeneous Patients [J]. Chinese Journal of Management Science, 2026, 34(6): 239-249. |
| [5] | Pan Gao, Zeao Xu, Xueying Zhang, Xu Zhao. Research on Cooperative Strategy of Ship Crossing Dam for Traffic Congestion of Cascade Lock [J]. Chinese Journal of Management Science, 2026, 34(5): 153-165. |
| [6] | Lin Zhang, Zhongquan Hu, Jun Tian. Research on Government's Decisions on Procurement Pricing in a Multiple-to-One Emergency Material Supply Chain [J]. Chinese Journal of Management Science, 2026, 34(5): 206-218. |
| [7] | Jie Xu, Wen Hu, Chunlin Luo, Dongdong Yu. Pricing Strategies for the Echelon Utilization of New Energy Vehicle Power Batteries Enabled by Blockchain Technology [J]. Chinese Journal of Management Science, 2026, 34(5): 285-294. |
| [8] | Bilin Zou, Xiaohui Lyu, Xiaohong Zhang. Joint Pricing and Fulfillment Optimization for Omni-channel Retailers Considering Fulfillment Location Selection and Resources Sharing among Channels [J]. Chinese Journal of Management Science, 2026, 34(4): 178-191. |
| [9] | Xinyu Wu, Xuebao Yin, Haibin Xie, Chaoqun Ma. Option Pricing with Component Realized EGARCH Model [J]. Chinese Journal of Management Science, 2026, 34(4): 22-33. |
| [10] | Zezhou Wang, Qifa Xu, Cuixia Jiang. Can Interaction and Dissemination of Mixed-Frequency Information in Companies' Multi-Layer Relationship Networks Improve Asset Pricing? Asset Pricing Study Based on Graph Neural Networks [J]. Chinese Journal of Management Science, 2026, 34(4): 47-62. |
| [11] | Hao Li, Nina Yan, Jizhou Lu, Kin Keung Lai. Online Consumer Reviews in a Supply Chain with Horizontal Competition [J]. Chinese Journal of Management Science, 2026, 34(3): 104-113. |
| [12] | Chuan Zhao, Ziyang Guo, Kun Wang, Kangyin Dong. Research on the Scale of Group-buying and Differential Pricing Decisions in Social E-commerce Considering Market Information Value [J]. Chinese Journal of Management Science, 2026, 34(3): 242-252. |
| [13] | Yuyan Wang, Junhong Gao, Yulin Sun, Ying Cui. Research on Service and Pricing in a Dual-channel Supply Chain Based on Demand Shift and Quality Perception Induced by Free-riding Behavior [J]. Chinese Journal of Management Science, 2026, 34(3): 253-262. |
| [14] | Tao Li, Jun Zhao, Yang Liu, Bin Liu. Pricing Strategy in a Competitive Supply Chain under Retailers’“Virtual Bargaining” [J]. Chinese Journal of Management Science, 2026, 34(3): 275-285. |
| [15] | Liangjie Xia, Ying Huang, Jinru Feng, Jun Wang, Youdong Li. Pricing and Ordering Policies of Overconfident Retailers Considering Strategic Consumers [J]. Chinese Journal of Management Science, 2026, 34(3): 297-308. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
|
||
