市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真

doi:10.12005/orms.2019.0034

运筹与管理 ›› 2019, Vol. 28 ›› Issue (2): 67-73.DOI: 10.12005/orms.2019.0034

市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真

李斌^1,2, 韩菁^2,3

1. 西安财经大学经济学院,陕西西安 710062;
2. 陕西师范大学国际商学院,陕西西安 710062;
3. 西安交通大学管理学院,陕西西安 710049

收稿日期:2016-10-25 出版日期:2019-02-25
作者简介:李斌(1985-),男,宁夏回族自治区固原人,讲师,博士,研究方向:创新扩散与技术经济;韩菁(1979-),男,河北黄骅人,副教授,博士,研究方向:协同行为与管理决策分析,
基金资助:
国家自然科学基金项目“基于协同行为的高效创新团队选择机理与模式研究”(71403158);中国博士后科学基金“不同利益诉求主体协同行为下的知识服务网络重构研究”(2016M590960);陕西省社会科学基金项目“基于DEA-Malmquist指数模型的陕西省区域创新能力研究”(2016D005)

Market Orientation, Multi-agent Collaboration and Innovation Diffusion: Based on Complex Network Dynamic Simulation

LI Bin^1,2, HAN Jing^2,3

1. School of Economics, Xi'an University of Finance and Economics, Xi'an 710062, China;
2. International Business School, Shaanxi Normal University, Xi'an 710062, China;
3. School of Management, Xi'an Jiao Tong University, Xi'an 710049, China

Received:2016-10-25 Online:2019-02-25

摘要/Abstract

摘要： 市场导向与多主体协同关系密切,是提升创新扩散效率的主要驱动要素。本文首先从协同关系和创新收益两个层面,构建空间结构和有效预期的演化机制,生成复杂网络模型,对多主体协同的创新扩散过程进行动态仿真。其次通过细化市场导向理论在用户需求、竞争驱动和职能协同等不同维度的作用路径,深入分析了市场导向对多主体协同的影响机制。研究表明:(1)市场导向对多主体协同的影响与网络结构动态特征具有高度相关性;(2)少量的用户需求与竞争驱动导向对多主体协同的效益提升最为显著,职能协同导向的影响则呈现周期性“倒U型”波动特征;(3)用户需求导向对多主体协同的创新收益驱动效应最明显,竞争驱动导向的推动效果次之。

关键词: 市场导向, 多主体协同, 创新扩散, 复杂网络, 动态仿真

Abstract: There exists very close relationship between market orientation and multi-agent collaboration which are the main driving factors for innovation diffusion efficiency improvement. In this paper, firstly the complex network model is built from the evolution mechanism of space structure and effective anticipation in two dimensions——collaborative relationship and innovation benefit, and the innovation diffusion process of multi-agent collaboration is analyzed. And then the influencing mechanism from market orientation on multi-agent collaboration is described by refining the operation paths of customer needs, competitive driving and functional collaboration in market orientation theory. The results show that: (1)there is obviously correlative relationship between networks structure dynamics and the market orientation influence on multi-agent collaboration; (2)the driving effects of low level customer needs and competition driving orientation are more remarkable, and the evolution trend of functional collaboration shows itself as inverted U type; (3)the driving force of the customer needs orientation is the most obvious, and the competition driving orientation takes the second place.

Key words: market orientation, multi-agent collaboration, innovation diffusion, complex networks, dynamic simulation

中图分类号:

F202

李斌, 韩菁. 市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真[J]. 运筹与管理, 2019, 28(2): 67-73.

LI Bin, HAN Jing. Market Orientation, Multi-agent Collaboration and Innovation Diffusion: Based on Complex Network Dynamic Simulation[J]. Operations Research and Management Science, 2019, 28(2): 67-73.

参考文献

[1] 科学技术部创新发展司.科技统计报告:2014年国家主体科技计划成果转化应用情况统计分析[R].2016,575(3):1-8.
[2] 白俊红,蒋伏心.协同创新、空间关联与区域创新绩效[J].经济研究,2015(7):174-187.
[3] Shuangling L, Yanyan D, Peng L, et al.. A study on coevolutionary dynamics of knowledge diffusion and social network structure[J]. Expert Systems with Applications,2015,42 (12): 3619-3633.
[4] 高霞,陈凯华.合作创新网络结构演化特征的复杂网络分析[J].科研管理,2015,36(6):28-36.
[5] 杜斌,张治河.技术创新市场导向机制——基于三位一体的系统模型研究[J].财经科学,2016(5):123-132.
[6] 解学梅,刘丝雨.协同创新模式对协同效应与创新绩效的影响机理[J].管理科学,2015,28(2):27-39.
[7] Isabel S, Cristina S, Margarida F. Topologies of innovation networks in knowledge-intensive sectors: sectoral differences in the access to knowledge and complementary assets through formal and informal ties[J]. Technovation, 2012,32(4): 380-399.
[8] Dassisti M, Carnimeo L. A small-world methodology of analysis of interchange energy-networks: the european behaviour in the economical crisis[J]. Energy Policy, 2013, 400 (2): 887-899.
[9] Jiancheng G, Jingjing Z, Yan Y. The impact of multilevel networks on innovation[J]. Research Policy, 2015, 44(4): 545-559.
[10] Ivan S, Abiodun E. Emergence of innovation network s from R&D cooperation with endogenous absorptive capacity[J]. Journal of Economic Dynamics & Control, 2016, 64 (1): 82-103.
[11] Liaquat H, Daniel F. The social networks of collaborative process[J]. Journal of High Technology Management Research, 2009, 20(2): 119-130.
[12] 冯锋,王亮.产学研合作创新网络培育机制分析——基于小世界网络模型[J].中国软科学,2008,11:82-86+95.
[13] Daekook K, Bomi S, Byoungun Y, Youngjo L, Yongtae P. Diffusion pattern analysis for social networking sites using small-world network multiple influence model[J]. Technological Forecasting & Social Change, 2014, 95(2):73-86.
[14] 陈子凤,官建成.合作网络的小世界性对创新绩效的影响[J].中国管理科学,2009,17(3):115-120.
[15] 林敏,李南,季旭.基于小世界网络的知识交流对象选择研究[J].科研管理,2012,33(1):35-40.
[16] Chaug-Ing H, Hsien-Hung S. Small-world network theory in the study of network connectivity and efficiency of complementary international airline alliances[J]. Journal of Air Transport Management, 2008, 14(3): 123-129.
[17] Zifeng C, Jiancheng G. The impact of small world on innovation: an empirical study of 16 countries[J]. Journal of Informetrics, 2010,4(7): 97-106.
[18] Cemal Z, Mahmut K, Hacer Y. The mediating role of innovation capability on market orientation and export performance: an implementation on SMEs in turkey[J]. Procedia-Social and Behavioral Sciences, 2015, 207(10): 700-708.
[19] Faraz Z. Small world networks and clustered small world networks with random connectivity[J]. Social Network Analysis & Mining, 2012, 3(1): 51-63.
[20] Cheng L W, Heney F L C. The moderating role of managerial ties in market orientation and innovation: an asian perspective[J]. Journal of Business Research, 2013, 66(12): 2431-2437.
[21] Robert A W K, Wim G B. Creating a market-oriented product innovation process: a contingency approach[J]. Technovation, 2009,29 (8): 517-526.
[22] Colin C C, Dennis K. The role of service innovation in the mark et orientation——new service performance linkage[J]. Technovation, 2012, 32(7): 487-497.
[23] 曹霞,刘国巍.基于博弈论和多主体仿真的产学研合作创新网络演化[J].系统管理学报,2014,23(1):21-29.
[24] 曹霞,张路蓬.利益驱动对创新网络合作行为演化的影响机理及仿真——基于复杂网络拓扑结构视角[J].运筹与管理,2015,24(6):160-169.
[25] Yinghong W, Kwaku A. The moderating role of reward systems in the relationship between market orientation and new product performance in China[J]. International Journal of Research in Marketing, 2009, 26(2): 89-96.
[26] Hanny N N, Felix T M, Margaret J M, Nelson ON. Entrepreneurship: Its relationship with market orientation and learning orientation and as antecedents to innovation and customer value[J]. Industrial Marketing Management,2011,40 (3): 336-345.
[27] Erkan OH, Cornelia D, Tomas GMH, et al.. Market orientation, knowledge competence, and innovation[J]. International Journal of Research in Marketing, 2015, 32(3): 309-318.
[28] Henry F L C. Market orientation, guanxi, and business performance[J]. Industrial Marketing Management, 2011, 40(4): 522-533.
[29] 王国红,周建林,唐丽艳.小世界特性的创新孵化网络知识转移模型及仿真研究[J].科学学与科学技术管理,2014,35(5):53-63.

市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真

Market Orientation, Multi-agent Collaboration and Innovation Diffusion: Based on Complex Network Dynamic Simulation

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