中国管理科学 ›› 2023, Vol. 31 ›› Issue (4): 56-65.doi: 10.16381/j.cnki.issn1003-207x.2020.0997cstr: 32146.14.j.cnki.issn1003-207x.2020.0997
刘靓晨1, 翟昕2
收稿日期:2020-05-29
修回日期:2020-08-06
出版日期:2023-04-20
发布日期:2023-05-06
通讯作者:
翟昕(1975-),女(汉族),北京人,北京大学光华管理学院,副教授,博士生导师,研究方向:运营管理、供应链与物流管理,Email:xinzhai@gsm.pku.edu.cn.
E-mail:xinzhai@gsm.pku.edu.cn
基金资助:LIU Jing-chen1, ZHAI Xin2
Received:2020-05-29
Revised:2020-08-06
Online:2023-04-20
Published:2023-05-06
Contact:
翟昕
E-mail:xinzhai@gsm.pku.edu.cn
摘要: 本文研究企业的最优产品创新策略及其对企业运营的影响。通过构建两阶段动态博弈模型,分析企业在渐进式创新与突破式创新两种模式下和策略型消费者之间的定价与购买博弈,以及企业和消费者的策略性程度对于最优产品创新策略的影响。研究结果表明,第一,企业的最优产品创新策略受到高创新产品相对于低创新产品的创新提升程度、二者成本差异,以及消费者的策略性程度的共同影响。第二,在考虑策略型消费者购买行为的背景下,当高创新产品的创新程度足够高,或者二者成本差异有限时,突破式创新策略对于企业而言不仅能提供更高的利润,还能占据更大的市场份额。第三,消费者与企业策略性程度的增加,均在一定程度上提高了突破式创新相比渐进式创新而言的优势。
中图分类号:
刘靓晨,翟昕. 面对策略型消费者的企业最优创新与定价策略[J]. 中国管理科学, 2023, 31(4): 56-65.
LIU Jing-chen,ZHAI Xin. Optimal Product Innovation and Pricing Strategies in the Presence of Strategic Consumers[J]. Chinese Journal of Management Science, 2023, 31(4): 56-65.
| [1] Frambach R T, Schillewaert N. Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research[J]. Journal of Business Research, 2012, 55(2): 163-176. [2] 盛光华, 张志远. 补贴方式对创新模式选择影响的演化博弈研究[J]. 管理科学学报, 2015, 18(9): 34-45.Sheng Guanghua, Zhang Zhiyuan. Allowance methods’ influence on the innovation model choice in evolutionary game[J]. Journal of Management Sciences in China, 2015, 18(9): 34-45. [3] Christensen C M. The innovator’s dilemma: when new technologies cause great firms to fail[M]. Boston: Harvard Business School Press, 1997. [4] Esteve A. Open versus closed innovation: a model of discovery and divergence[J]. Academy of Management Review, 2010, 35(1): 27-47. [5] De Van A H. Central problems in the management of innovation[J]. Management Science, 1986, 32(5): 590-607. [6] Kortum S, Lerner J. Stronger protection or technological revolution: what is behind the recent surge in patenting?[J]. Journal of Monetary Economics, 1997, 48(1): 247-304. [7] Schankerman M. How valuable is patent protection: estimates by technology fields[J]. The RAND Journal of Economics, 1998, 29(1): 77-107. [8] 杨建君, 张峰, 孙丰文. 企业内部信任与技术创新模式选择的关系[J]. 科学学与科学技术管理, 2014, 35(10): 94-104.Yang Jianjun, Zhang Feng, Sun Fengwen. Research on relationship between intra-firm trust and the choice of technology innovation modes[J]. Science of Science and Management of S. & T., 2014, 35(10): 94-104. [9] 孙永风, 李垣, 廖貅武. 基于不同战略导向的创新选择与控制方式研究[J]. 管理工程学报, 2007, 21(4): 24-30.Sun Yongfeng, Li Yuan, Liao Xiuwu. A study of corporate innovation and internal controls under heterogenous strategic orientations[J]. Journal of Industrial Engineering/Engineering Management, 2007, 21(4): 24-30. [10] 孙永风, 李垣. 转型经济下中国企业创新选择的实证研究: 环境与组织因素[J]. 管理工程学报, 2007, 21(1): 41-46.Sun Yongfeng, Li Yuan. One research of behaviors of innovation-selection in transitional China’s firms[J]. Journal of Industrial Engineering/Engineering Management, 2007, 21(1): 41-46. [11] Nair H. Intertemporal price discrimination with forward-looking consumers: application to the US market for console video-games[J]. Quantitative Marketing and Economics, 2007, 5(3): 239-292. [12] Li Jun, Granados N, Netessine S. Are consumers strategic? Structural estimation from the air-travel industry[J]. Management Science, 2014, 60(9): 2114-2137. [13] Parlakturk, A K. The value of product variety when selling to strategic consumers[J]. Manufacturing & Service Operations Management, 2012, 14(3): 371-385. [14] Aviv Y, Pazgal A. Optimal pricing of seasonal products in the presence of forward-looking consumers[J]. Manufacturing & Service Operations Management, 2008, 10(3): 339-359. [15] Su Xuanming. Intertemporal pricing with strategic customer behavior[J]. Management Science, 2007, 53(5): 726-741. [16] Su Xuanming, Zhang Fuqiang. Strategic customer behavior, commitment, and supply chain performance[J]. Management Science, 2008, 54(10): 1759-1773. [17] Yin Rui, Aviv Y, Pazgal A, et al. Optimal mark-down pricing: implications of inventory display formats in the presence of strategic customers[J]. Management Science, 2009, 55(8): 1391-1408. [18] Cachon G P, Feldman P. Price commitments with strategic consumers: why it can be optimal to discount more frequently than optimal[J]. Manufacturing & Service Operations Management, 2015, 17(3): 399-410. [19] Cachon G P, Swinney R. Purchasing, pricing, and quick response in the presence of strategic consumers[J]. Management Science, 2009, 55(3): 497-511. [20] Cachon G P, Swinney R. The value of fast fashion: quick response, enhanced design, and strategic consumer behavior[J]. Management Science, 2011, 57(4): 778-795. [21] Liu Jingchen, Zhai Xin, Chen Lihua. The interaction between product rollover strategy and pricing scheme[J]. International Journal of Production Economics, 2018, 20: 116-135. [22] Liu Jingchen, Zhai Xin, Chen Lihua. Optimal pricing strategy under trade-in program in the presence of strategic consumers[J]. Omega: The International Journal of Management Science, 2019, 84: 1-17. [23] Shen Zuojun Max, Su Xuanming. Customer behavior modeling in revenue management and auctions: a review and new research opportunities[J]. Production and Operations Management, 2007, 16(6): 713-728. [24] 刘晓峰, 黄沛. 基于策略型消费者的最优动态定价与库存决策[J]. 管理科学学报, 2009, 12(5): 18-26.Liu Xiaofeng, Huang Pei. Optimal dynamic pricing and inventory policy under strategic customers[J]. Journal of Management Sciences in China, 2009, 12(5): 18-26. [25] 李贺, 张玉林, 仲伟俊. 考虑战略消费者行为风险的动态定价策略[J]. 管理科学学报, 2012, 15(10): 11-25.Li He, Zhang Yulin, Zhong Weijun. Dynamic pricing strategies in the presence of strategic consumer behavior risks[J]. Journal of Management Sciences in China, 2012, 15(10): 11-25. [26] 刘靓晨, 陈丽华, 翟昕. 基于策略型消费者行为和以旧换新的持续创新产品定价策略研究[J]. 营销科学学报, 2018, 14(1): 21-43.Liu Jingchen, Chen Lihua, Zhai Xin. Optimal pricing strategy for sequential innovation products considering strategic consumer behavior and trade-in program[J]. Journal of Marketing Science, 2018, 14(1): 21-43. [27] 巩天啸, 王玮, 陈丽华, 等. 面对策略型消费者的产品创新换代方式[J]. 管理科学学报, 2015, 18(9): 1-11.Gong Tianxiao, Wang Wei, Chen Lihua, et al. Optimal product rollover strategy in presence of strategic consumers[J]. Journal of Management Sciences in China, 2015, 18(9): 1-11. [28] 刘靓晨, 陈丽华, 翟昕. 考虑以旧换新时的企业最优产品更新换代策略[J]. 管理学报, 2018, 15(6): 908-917.Liu Jingchen, Chen Lihua, Zhai Xin. Optimal product rollover strategy under trade-in program[J]. Chinese Journal of Management, 2018, 15(6): 908-917. [29] Ray S, Boyaci T, Aras B. Optimal prices and trade-in rebates for durable, remanufacturable products[J]. Manufacturing & Service Operations Management, 2005, 7(3): 208-228. [30] Zhou Erfeng, Zhang Juzhi, Gou Qinglong, et al. A two period pricing model for new fashion style launching strategy[J]. International Journal of Production Economics, 2015, 160: 144-156. [31] Bala R, Carr S. Pricing software upgrades: the role of product improvement and user costs[J]. Production and Operations Management, 2009, 18(5): 560-580. [32] Swinney R. Selling to strategic consumers when product value is uncertain: the value of matching supply and demand[J]. Management Science, 2011, 57(10): 1737-1751. [33] Shum S, Tong Shilu, Xiao Tingting. On the impact of uncertain cost reduction when selling to strategic customers[J]. Management Science, 2017, 63(3): 587-900. [34] Liang Chao, Cakanyildirim M, Sethi S. Analysis of product rollover strategies in the presence of strategic customers[J]. Management Science, 2014, 60(4): 1033-1056. [35] Yin Rui, Li Hongmin, Tang C S. Optimal pricing of two successive-generation products with trade-in options under uncertainty[J]. Decision Sciences, 2015, 46(3): 565-595. [36] Yin Rui, Tang C S. Optimal temporal customer purchasing decisions under trade-in programs with up-front fees[J]. Decision Sciences, 2014, 45(3): 373-400. [37] 刘靓晨, 翟昕. 竞争环境下的以旧换新策略[J]. 中国管理科学, 2018, 26(9): 75-84.Liu Jingchen, Zhai Xin. Trade-in strategy in competitive markets[J]. Chinese Journal of Management Science, 2018, 26(9): 75-84. [38] Dhebar A. Durable-goods monopolists, rational consumers, and improving products[J]. Marketing Science, 1994, 13(1): 100-120. |
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