竞争环境下新创企业产量柔性技术战略决策研究

doi:10.16381/j.cnki.issn1003-207x.2016.11.011

中国管理科学 ›› 2016, Vol. 24 ›› Issue (11): 94-102.doi: 10.16381/j.cnki.issn1003-207x.2016.11.011

竞争环境下新创企业产量柔性技术战略决策研究

曹国昭¹, 齐二石²

1. 山西大学经济与管理学院, 山西太原 030006;
2. 天津大学管理与经济学部, 天津 300072

收稿日期:2015-04-01 修回日期:2015-10-10 出版日期:2016-11-20 发布日期:2017-01-23
作者简介:曹国昭(1988-),女(汉族),山西运城人,山西大学经济与管理学院讲师,博士,研究方向:新创企业运作管理、柔性生产,E-mail:caoguozhao@126.com.
基金资助:
国家自然科学基金青年基金资助项目（71202085）；科技部创新方法工作专项基金资助项目（2010IM040300）；山西大学人文社会科学科研基金资助项目（011551801007）；山西省高等学校哲学社会科学基金资助项目（2016203）

Strategic Volume Flexible Technology Decision of Startups under Competitive Setting

CAO Guo-zhao¹, QI Er-shi²

1. School of Economics and Management, Shanxi University, Taiyuan 030006, China;
2. College of Management and Economics, Tianjin University, Tianjin 300072, China

Received:2015-04-01 Revised:2015-10-10 Online:2016-11-20 Published:2017-01-23

摘要/Abstract

摘要： 考虑新创企业与成熟企业相互竞争，重点研究竞争环境下，两企业的产量柔性技术选择及产能投资决策。首先分析了四种不同策略组合下两企业的最优产能决策、新创企业的最大生存概率以及成熟企业的最大利润；然后用传统博弈论的方法得出了二者的竞争均衡，并分析影响两企业产量柔性战略决策的因素；最后用数值实验进行验证。研究结果表明：在竞争中，新创企业更加关注成本因素，倾向于选择成本较小的无柔性技术；成熟企业对市场需求的波动更为敏感，当市场需求波动较大时，选择产量柔性技术能提高其收益；当产量柔性技术单位产量调整成本较大时，选择无柔性技术对两企业更为有利。

关键词: 产量柔性技术, 竞争, 新创企业, 纳什均衡

Abstract: As the main body of entrepreneurial activities, startups face larger demand uncertainty and market competition, and thus need to undertake greater bankruptcy risk. They concern more about survival rather than growth during the operations. Volume flexible technology choice is one of the most important operational decisions of startups, which can help them to reduce the mismatch between supply and demand, and enhance their competitiveness. It also has a higher capacity cost, which leads to a higher investment cost and bankruptcy risk. So, the startups need to weigh the advantages against the disadvantages of volume flexibility. In this paper, the volume flexible technology decision of the startup is analyzed under competitive setting. Using the game theory the model in which a startup company and an established firm engage in output competition in the market is first built. Both of them can choose volume flexible technology or traditional technology. The startup company maximize its survival probability while the established firm maximizes its profit. Then it obtains the optimal capacity investment decisions of the 2 firms, the optimal survival probability of the startup, and the optimal profit of the established firm under different competitive strategies. Nash equilibrium is used to obtain the equilibrium technology choice of the 2 firms. Finally, it conducts a numerical experimentation to analyze the factors that influence the equilibrium strategies of the two firms. The result shows that under competitive setting, the startup company pays more attention to the cost factor, is more likely to choose non-flexible technology, which has a lower cost than the volume flexible technology. However, the established firm is more sensitive to the demand variance, will choose volume flexible technology when the demand variance is high. As the frictional cost of the volume flexible technology increase, both of them prefer non-flexible technology.

Key words: volume flexible technology, competition, startup, Nash-equilibrium

中图分类号:

F273

曹国昭, 齐二石. 竞争环境下新创企业产量柔性技术战略决策研究[J]. 中国管理科学, 2016, 24(11): 94-102.

CAO Guo-zhao, QI Er-shi. Strategic Volume Flexible Technology Decision of Startups under Competitive Setting[J]. Chinese Journal of Management Science, 2016, 24(11): 94-102.

参考文献

[1] Wei M M, Yao Tao, Jiang Bin, et al. Profit seeking vs. survival seeking: An analytical study of supplier's behavior and buyer's subsidy strategy[J]. Production and Operations Management,2013, 22(2):269-282.

[2] Joglekar N, Levesque M. The role of operations management across the entrepreneurial value chain[J]. Production and Operations Management, 2013, 22(6): 1321-1335.

[3] Krishnan V, Operations management opportunities in technology commercialization and entrepreneurship[J]. Production and Operations Management, 2013, 22 (6): 1439-1445.

[4] 曹国昭,齐二石.竞争博弈下新创企业混合柔性技术战略决策研究[J].管理学报,2015, 12 (1) : 118-125.

[5] 倪得兵,李韬韬,唐小我. 需求不确定下生产能力与竞争优势的关系[J]. 中国管理科学, 2012,20(6):133-140.

[6] Gerwin D. Manufacturing flexibility: A strategic perspective[J]. Management Science, 1993,39(4):395-410.

[7] Mishra R, Pundir A K, Ganapathy L. Manufacturing flexibility research: A review of literature and agenda for future research[J]. Global Journal of Flexible Systems Management, 2014, 15 (2): 101-112.

[8] Kesavan S, Staats B R, Gilland W. Volume flexibility in services: The costs and benefits of flexible labor resources[J]. Management Science, 2014, 60(8): 1884-1906.

[9] Goyal M, Netessine S. Volume flexibility, product flexibility, or both: The role of demand correlation and product substitution[J]. Manufacturing & Service Operations Management, 2011, 13(2):180-193.

[10] Egelman C D, Epple D, Argote L, et al. Learning by doing in multiproduct manufacturing: Variety, customizations, and overlapping product generations[J]. Management Science, 2016, articles in advance.

[11] 黄卫来,张子刚,马辉民,等.基于产量柔性的经济生产批量模型研究[J].管理工程学报,1998,12(3):53-58.

[12] Patel P C, Jayaram J. The antecedents and consequences of product variety in new ventures: An empirical study[J]. Journal of Operations Management, 2014, 32(1-2):34-50.

[13] Archibald T W, Thomas L C, Betts J M, et al. Should start-up companies be cautious? Inventory policies which maximize survival probabilities[J]. Management Science, 2002, 48(9):1161-1174.

[14] Swinney R, Cachon G P,Netessine S. Capacity investment timing by start-ups and established firms in new markets[J]. Management Science, 2011, 57(4): 763-777.

[15] Tanrisever F, Erzurumlu S S, Joglekar N. Production, process investment and the survival of debt financed startup firms[J]. Production and Operations Management, 2012, 21(4):637-652.

[16] 梁强,李新春,周莉.新创企业内部资源与外部关系的战略平衡—中国情境下的经验研究[J].管理科学学报,2016,19(4):71-87.

[17] 李逸,买忆媛.新创企业的品牌资产提升:广告投入还是研发投入[J].管理工程学报,2016,30(3):81-89.

[18] Swinney R, Netessine S. Long-term contracts under the threat of supplier default[J]. Manufacturing & Service Operations Management, 2009.11(1):109-127.

[19] 熊恒庆,黄勇,万洁.供应链订货时机协调:一个风险厌恶的视角[J].中国管理科学,2016,24(8):88-97.

[20] 代建生,秦开大.具有风险规避销售商的最优供应链回购契约[J].2016,24(7):72-81.

[21] Goyal M, Netessine S. Strategic technology choice and capacity investment under demand uncertainty[J]. Management Science, 2007, 53(2):192-207.

竞争环境下新创企业产量柔性技术战略决策研究

Strategic Volume Flexible Technology Decision of Startups under Competitive Setting

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