Study on the Relationship between Enterprises Social Network Position and R&D Efficiency: Based on the Method of Three-stage DEA Model

Abstract

Abstract:

This study is mainly concerned with the short-term and long-term impact of social networking environment on R&D efficiency of enterprises, and the evaluation of actual R&D efficiency of listed companies in China. Many enterprises are consciously developing their own external knowledge resources in R&D activities. However, there are some debates about the direction of social network's impact on R&D efficiency. In order to study the different influence on the R&D performance of firms which are in different positions of social network, this paper constructs a two-mode social network model of the listed companies in China, and 178 listed companies' R&D performances are analyzed by a three-stage DEA model which considers time lag of both the network location indicators and the input-output indicators. The results show that the social network position has a significant effect on the listed enterprise' R&D performance, but different indicators of social network position have different effects, in particular, the number of the social network connections of the firm (such as degree and structural holes) has a short-term impact on R&D performance, and the centrality of the firm in the network (such as closeness and betweenness) has a long-term effect on the R&D performance. At the end of the study, we sum up the empirical results by use of some existing theories.

Key words: social network position, listed companies, R&D performance, three-stage DEA

Chen Wei, Wei Xuan, Li Jinqiu, Feng Zhijun. Study on the Relationship between Enterprises Social Network Position and R&D Efficiency: Based on the Method of Three-stage DEA Model[J]. , 2020, 32(3): 97-109.

References

[1] Pakes A. On Patents, R&D, and the Stock Market Rate of Return[J]. Journal of Political Economy, 1985,93(2):390-409
[2] DeCarolis D. M., Deeds D. L. The Impact of Stocks and Flows of Organizational Knowledge on Firm Performance:An Empirical Investigation of the Biotechnology Industry[J]. Strategic Management Journal, 1999,20(10):953-968
[3] 江旭. 基于社会网络视角的学习导向与企业外部知识获取研究[J]. 管理评论, 2015,27(8):141-149
[4] 徐建中,徐莹莹. 企业协同能力、网络位置与技术创新绩效——基于环渤海地区制造业企业的实证分析[J]. 管理评论, 2015,27(1):114-125
[5] Giannoccaro I., Carbone G. An Ising-based Dynamic Model to Study the Effect of Social Interactions on Firm Absorptive Capacity[J]. International Journal of Production Economics, 2017,194(9):214-227
[6] Quatraro F., Usai S. Knowledge Flows, Externalities and Innovation Networks[J]. Regional Studies, 2017,51(8):1133-1137
[7] Chesbrough H. W. Open Innovation:The New Imperative for Creating and Profiting from Technology[M]. Boston:Harvard Business School Press, 2003
[8] 何郁冰. 国内外开放式创新研究动态与展望[J]. 科学学与科学技术管理, 2015,36(3):3-12
[9] Newell S., Swan J. Trust and Inter-Organizational Networking[J]. Human Relations, 2000,53(10):1287-1328
[10] Sieg J. H., Wallin M. W., von Krogh G. Managerial Challenges in Open Innovation:A Study of Innovation Intermediation in the Chemical Industry[J]. R&D Management, 2010,40(3):281-291
[11] Gassmann O., von Zedtwitz M. New Concepts and Trends in International R&D Organization[J]. Research Policy, 1999,28(2):231-250
[12] Cassiman B., Valentini G. Open Innovation:Are Inbound and Outbound Knowledge Flows Really Complementary?[J]. Strategic Management Journal, 2016,37(6):1034-1046
[13] Grigoriou K., Rothaermel F. T. Organizing for Knowledge Generation:Internal Knowledge Networks and the Contingent Effect of External Knowledge Sourcing[J]. Strategic Management Journal, 2017,38(2):395-414
[14] Hung C. Social Networks, Technology Ties, and Gatekeeper Functionality:Implications for the Performance Management of R&D Projects[J]. Research Policy, 2017,46(1):305-315
[15] Chesbrough H., Vanhaverbeke W., West J. Open Innovation:Researching a New Paradigm[M]. New York:Oxford University Press, 2006
[16] Chesbrough H., Vanhaverbeke W., West J. New Frontiers in Open Innovation[M]. New York:Oxford University Press, 2014
[17] Leenders R. T. A. J., Dolfsma W. A. Social Networks for Innovation and New Product Development[J]. Journal of Product Innovation Management, 2016,33(2):123-131
[18] Martinez-Torres R., Olmedilla M. Identification of Innovation Solvers in Open Innovation Communities Using Swarm Intelligence[J]. Technological Forecasting and Social Change, 2016,109(8):15-24
[19] Weng C. S. Innovation Intermediaries in Technological Alliances[J]. International Journal of Innovation and Technology Management, 2017,14(2):1740013
[20] Alberti F. G., Pizzurno E. Oops, I did It Again! Knowledge Leaks in Open Innovation Networks with Start-Ups[J]. European Journal of Innovation Management, 2017,20(1):50-79
[21] 程聪,谢洪明,陈盈,等. 网络关系、内外部社会资本与技术创新关系研究[J]. 科研管理, 2013,34(11):1-8
[22] 汤小莉,田高良,孙笑明,等. 占据合作网络切割点位置与关键研发者创造力[J]. 系统工程理论与实践, 2016,36(12):3152-3163
[23] Tang C. Accessed External Knowledge, Centrality of Intra-Team Knowledge Networks, and R&D Employee Creativity[J]. R&D Management, 2016,46(S3):992-1005
[24] Michelfelder I., Kratzer J. Why and How Combining Strong and Weak Ties within a Single Interorganizational R&D Collaboration Outperforms Other Collaboration Structures[J]. Journal of Product Innovation Management, 2013,30(6):1159-1177
[25] 刘凤朝,张娜,孙玉涛,等. 基于优先连接的纳米技术合作网络演化研究[J]. 管理评论, 2016,28(2):74-83
[26] 高太山,柳卸林. 企业国际研发联盟是否有助于突破性创新?[J]. 科研管理, 2016,37(1):48-57
[27] 陈祖胜,任浩,林明. 知识互补性对研发网络内异位势企业间联盟的影响——基于知识基础结构的调节效应[J]. 预测, 2015,34(2):28-33
[28] Huang Z., Zeng D. D. Why does Collaborative Filtering Work? Transaction-Based Recommendation Model Validation and Selection by Analyzing Bipartite Random Graphs[J]. INFORMS Journal on Computing, 2011,23(1):138-152
[29] Henttonen K., Ojanen V., Puumalainen K. Searching for Appropriate Performance Measures for Innovation and Development Projects[J]. R&D Management, 2015,46(5):914-927
[30] Wang H., Wu M. Business Type, Industry Value Chain, and R&D Performance:Evidence from High-Tech Firms in an Emerging Market[J]. Technological Forecasting and Social Change, 2012,79(2):326-340
[31] 梁彤缨,雷鹏,陈修德. 管理层激励对企业研发效率的影响研究——来自中国工业上市公司的经验证据[J]. 管理评论, 2015,27(5):145-156
[32] 康华,王鲁平,杨柳青. 民营上市公司政治关系对研发活动的影响研究[J]. 科研管理, 2013,34(8):9-16
[33] 俞立平. 企业性质与创新效率——基于国家大中型工业企业的研究[J]. 数量经济技术经济研究, 2007,24(5):108-115
[34] Hung C. Social Networks, Technology Ties, and Gatekeeper Functionality:Implications for the Performance Management of R&D Projects[J]. Research Policy, 2017,46(1):305-315
[35] 胡元木. 技术独立董事可以提高R&D产出效率吗?——来自中国证券市场的研究[J]. 南开管理评论, 2012,15(2):136-142
[36] Lu Y., Karpova E. An Investigation of Chinese Textile Firms' R&D Performance[J]. Clothing and Textiles Research Journal, 2012,30(3):217-231
[37] Fried H. O., Lovell C. A. K., Schmidt S. S., et al. Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis[J]. Journal of Productivity Analysis, 2002,17(1):157-174
[38] 刘满凤,李圣宏. 基于三阶段DEA模型的我国高新技术开发区创新效率研究[J]. 管理评论, 2016,28(1):42-52
[39] Banker R. D., Charnes A., Cooper W. W., et al. Constrained Game Formulations and Interpretations for Data Envelopment Analysis[J]. European Journal of Operational Research, 1989,40(40):299-308
[40] 陈洪转,羊震,刘思峰,等. 基于滞后DEA的我国高校科研经费使用效率评价[J]. 管理评论, 2011,23(8):72-77
[41] 程时雄,柳剑平. 中国工业行业R&D投入的产出效率与影响因素[J]. 数量经济技术经济研究, 2014,31(2):36-51
[42] 冯锋,马雷,张雷勇. 两阶段链视角下我国科技投入产出链效率研究——基于高技术产业17个子行业数据[J]. 科学学与科学技术管理, 2011,32(10):21-26
[43] 任胜钢. 企业网络能力结构的测评及其对企业创新绩效的影响机制研究[J]. 南开管理评论, 2010,13(1):69-80
[44] Huang S., Bai Y., Tan Q. How does the Concentration of Determinants Affect Industrial Innovation Performance?——An Empirical Analysis of 23 Chinese Industrial Sectors[J]. PloS One, 2017,12(1):e169473
[45] Boeing P., Mueller E., Sandner P. China's R&D Explosion-Analyzing Productivity Effects Across Ownership Types and Over Time[J]. Research Policy, 2016,45(1):159-176
[46] Connolly R. A., Hirschey M. Firm Size and the Effect of R&D on Tobin's Q[J]. R&D Management, 2005,35(2):217-223
[47] 麦勇,胡文博,于东升. 上市公司资本结构调整速度的区域差异及其影响因素分析——基于2000-2009年沪深A股上市公司样本的研究[J]. 金融研究, 2011,54(7):196-206
[48] 吴晓伟,楼文高. 基于社会网络分析的企业合作竞争研究及其实证分析[J]. 情报理论与实践, 2010,33(5):52-57
[49] 常晓红,王海云. 上市公司交叉持股网络化形成的动因研究——基于社会网络视角[J]. 金融理论与实践, 2016,38(7):95-100
[50] 陈艳莹,夏一平. 社会网络与市场中介组织行为异化——中国省份面板数据的实证研究[J]. 中国工业经济, 2011,29(11):148-157
[51] Shu C., Page A. L., Gao S., et al. Managerial Ties and Firm Innovation:Is Knowledge Creation a Missing Link?[J]. Journal of Product Innovation Management, 2012,29(1):125-143
[52] 张敏,童丽静,许浩然. 社会网络与企业风险承担——基于我国上市公司的经验证据[J]. 管理世界, 2015,(11):161-175
[53] Zhang J., Yu H. Venture Capitalists' Experience and Foreign IPOs:Evidence from China[J]. Entrepreneurship:Theory and Practice, 2017,41(5):677-707
[54] 罗吉,党兴华,王育晓. 网络位置、网络能力与风险投资机构投资绩效:一个交互效应模型[J]. 管理评论, 2016,28(9):83-97
[55] Bruynseels L., Cardinaels E. The Audit Committee:Management Watchdog or Personal Friend of the CEO?[J]. The Accounting Review, 2013,89(1):113-145
[56] 刘凤朝,默佳鑫,马荣康. 高管团队海外背景对企业创新绩效的影响研究[J]. 管理评论, 2017,29(7):135-147
[57] 李德辉,范黎波,杨震宁. 企业网络嵌入可以高枕无忧吗——基于中国上市制造业企业的考察[J]. 南开管理评论, 2017,20(1):67-82
[58] 林敏,李南,吴贵生. 研发团队知识交流网络结构的实证研究[J]. 科研管理, 2012,33(9):63-70
[59] Burt R. S. Structural Holes and Good Ideas[J]. American Journal of Sociology, 2004,110(2):349-399
[60] Zhang W., Zhang Q., Karimi H. Seeking the Important Nodes of Complex Networks in Product R&D Team Based on Fuzzy AHP and TOPSIS[J]. Mathematical Problems in Engineering, 2013,2013(1):1-9
[61] 张艳辉,李宗伟,陈滇. 社会网络与企业技术创新绩效的关系研究:以苏州电子信息产业为例[J]. 管理评论, 2012,24(6):42-49
[62] 彭伟,周晗鹭,符正平. 团队内部社会网络对团队创新绩效的影响机制——以企业R&D团队为样本的实证研究[J]. 科研管理, 2013,34(12):135-142
[63] 高良谋,马文甲. 开放式创新:内涵、框架与中国情境[J]. 管理世界, 2014,(6):157-169
[64] Hansen M. T., Nohria N. How to Build Collaborative Advantage[J]. MIT Sloan Management Review, 2004,46(1):22-30
[65] 刘学元,丁雯婧,赵先德. 企业创新网络中关系强度、吸收能力与创新绩效的关系研究[J]. 南开管理评论, 2016,19(1):30-42