|
|
The Impact of Alliance Management Capabilities on Enterprise Disruptive Technological Innovation in the Digital Economy Era |
Li Fengshu1,2,Xu Yingjie3,Du Pengcheng1,Xu Jianzhong2 |
(1.School of Business, Anhui University, Hefei 230601, China;2.School of Economics and Management, Harbin Engineering University, Harbin 150001, China;3.School of Business, Nankai University, Tianjin 300071, China) |
|
|
Abstract With the promotion of new technologies such as 5G networks and Artificial Intelligence (AI), the era of digital economy has arrived. However, in the era of the digital economy, a new round of industrial revolution is to take off, with industrial transformation and enterprise disruptive innovation becoming the new trend. Disruptive technological innovation is mainly based on non-mainstream markets, employing non-mainstream technologies to achieve cross-domain and cross-level technological breakthroughs and integration, thus promoting the optimization and upgrading of the innovation path and the ascent of the innovation value chain. It can be seen that disruptive technological innovation differs from incremental technological innovation in that it has an unpredictable innovation cycle, a high risk of innovation, and a consistently high cost of innovation. In such cases, companies usually respond to the scarcity of resources for disruptive technological innovation and the lack of innovation capacity by choosing partners and establishing alliances to obtain innovation resources. However, studies have pointed out that there are differences in corporate culture, organizational practices and benefit distribution among members of innovation alliances, and more than 60% of enterprise alliances end up in failure. Therefore, in the face of the failure of innovation alliances, which is detrimental to enterprise disruptive technological innovation, scholars believe that effective alliance management capabilities, as an ability to maintain, develop and upgrade inter-firm relationships, are conducive to the sustainable cooperation among the subjects of innovation alliance. Therefore, based on the above background, this paper constructs the relationship model between alliance management capabilities and enterprise disruptive technological innovation. In addition, the impact of alliance management capability on enterprise disruptive technological innovation is not a single mechanism of action, but should include both mediating mechanisms and moderating influences. Based on dynamic theory, this paper selects knowledge flow as the mediating variable and knowledge reconstruction ability as the moderating variable to further study the influence mechanism of alliance management capabilities on the enterprise disruptive technological innovation. #br#This paper conducts a questionnaire to obtain research data mainly targeting high-tech companies implementing disruptive technological innovation, involving electronic information industry, biopharmaceutical industry, new materials and high-tech service industry, etc. The research objects are mainly middle and senior managers and some R&D personnel of emerging high-tech enterprises in China. A final sample of 611 companies in the Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta regions of China, as well as 65 enterprises in Chengdu and Chongqing, were selected to obtain data for the study. It took three months to distribute questionnaires to 676 enterprises, and 451 valid questionnaires were collected with an effective rate of 66.7%. #br#This paper verifies the hypothesis by constructing the multiple linear regression model and hierarchical regression analysis. The findings are as follows. (1) Alliance management capabilities generally have a positive impact on enterprise disruptive technological innovation. (2) Knowledge flow plays a partial intermediary role between alliance management capabilities and enterprise disruptive technological innovation. (3) Knowledge reconstruction ability significantly and positively moderates the relationship between alliance management capabilities and knowledge flow. And also, the positive relationship between alliance management capabilities and enterprise disruptive technological innovation is actively moderated by knowledge reconstruction ability. #br#This paper integrates innovation alliances theory, knowledge management theory, and research results in the field of disruptive innovation. Its main contributions lie in three aspects. Firstly this paper explores the impact of alliance management capabilities on enterprises disruptive technological innovation from a holistic perspective of alliance management, expanding the study of antecedent variables of disruptive technological innovation. Secondly it explores the role of alliance management on knowledge flow and knowledge reconstruction from the dynamic perspective of alliance management, enriching the relevant research on knowledge management. Thirdly this study enriches the relevant research on innovation and entrepreneurship management in the era of digital economy, and has a positive reference for enterprises to implement disruptive technological innovation. In addition, the research results of the article also have instructive significance for the disruptive innovation activities of government organization in management practice. Government agencies should take full advantage of the digital and intelligent era, actively introduce favorable innovation policies, guide technological cooperation and interaction between enterprises and research institutions, and promote the cross-border flow of innovative knowledge to enable enterprises to achieve disruptive technological leapfrog development in the ever-changing digital economy era.#br#
|
Received: 06 December 2020
|
|
|
|
|
[1] 逄健,朱欣民. 国外数字经济发展趋势与数字经济国家发展战略[J]. 科技进步与对策,2013,30(8):124-128. [2] 肖静华,胡杨颂,吴瑶. 成长品:数据驱动的企业与用户互动创新案例研究[J]. 管理世界,2020,36(3):183-205. [3] 王超,许海云,方曙. 颠覆性技术识别与预测方法研究进展[J]. 科技进步与对策,2018,35(9):152-160. [4] HALL J,MATOS S V,MARTIN M J C. Innovation pathways at the base of the pyramid:establishing technological legitimacy through social attributes[J]. Technovation,2014,34(5-6):284-294.[5] 殷俊杰,邵云飞.联盟组合管理能力对焦点企业合作创新绩效的影响研究[J].管理学报,2018,15(6):865-873.[6] 郑胜华,芮明杰,池仁勇. 联盟能力的基本架构及其提升联盟绩效的机理研究[J]. 科学学与科学技术管理,2007,28(6):122-128.[7] 段云龙,张新启,刘永松,等.基于管理协同的产业技术创新战略联盟稳定性研究[J].科技进步与对策,2019,36(5):64-72.[8] 殷俊杰,王思梦,邵云飞.联盟组合管理能力、关键资源获取与突破性技术创新绩效研究[J].电子科技大学学报(社科版),2017,19(1):8-14.[9] MIHARDJO, LEONARDUS W, et al. The effect of business alliance and innovation management on sustainable competitive advantages for incumbent telecommunication companies in the disruptive era [J]. Advanced Science Letters, 2018, 24:8342-8346.[10] STIVASTAVA M K, GNYAWAL D R. When do relational resources matter? leveraging portfolio technological resources for breakthrough innovation [J]. IEEE Engineering Management Review, 2017, 45(2):83-96.[11] SARKAR M B, AULAKH P S, MADHOK A. Process capabilities and value generation in alliance portfolios[J]. Organization Science, 2009, 20(3):583-600. [12] 赵健宇,付程,袭希. 知识嵌入性、知识流动与战略联盟结构升级的关系研究[J]. 管理评论,2020,32(1):91-106. [13] 王娟茹,杨苗苗,李正锋. 跨界搜索、知识整合与突破性创新[J]. 研究与发展管理,2020,32(3):111-122. [14] 叶江峰,任浩,郝斌. 外部知识异质度对创新绩效曲线效应的内在机理:知识重构与吸收能力的视角[J]. 科研管理,2016,37(8):8-17. [15] SCHREINER M,KALE P,CORSTEN D. What really is alliance management capability and how does it impact alliance outcomes and success[J]. Strategic Management Journal,2009,30(13):1395-1419. [16] OZCAN P,EISENHARDT K M. Origin of alliance portfolios:entrepreneurs,network strategies,and firm performance[J]. Academy of Management Journal,2009,52(2):246-279. [17] HOANG H,ROTHAERMEL F T. The effect of general and partner-specific alliance experience on joint R&D project performance[J]. Academy of Management Journal,2005,48(2):332-345. [18] CASTRO I,CASANUEVA C,GALáN J L. Dynamic evolution of alliance portfolios[J]. European Management Journal,2014,32(3):423-433. [19] SCHILKE O, COOK K S. Sources of alliance partner trustworthiness: integrating calculative and relational perspectives[J]. Strategic Management Journal,2015,36(2):276-297. [20] TORTORIELLO M,REAGANS R,MCEVILY B. Bridging the knowledge gap:the influence of strong ties,network cohesion,and network range on the transfer of knowledge between organizational units[J]. Organization Science,2012,23(4):1024-1039. [21] TSANG E W K,NGUYEN D T,ERRAMILLI M K. Knowledge acquisition and performance of international joint ventures in the transition economy of Vietnam[J]. Journal of International Marketing,2004,12(2):82-103. [22] CUMMINGS J L,TENG B S. Transferring R&D knowledge:the key factors affecting knowledge transfer success[J]. Journal of Engineering and Technology Management,2003,20(1-2):39-68. [23] O'LEARY D E. Artificial intelligence and big data[J]. IEEE Intelligent Systems,2013,28(2):96-99. [24] 辛德强,党兴华,魏龙. 双元导向创新独占机制、知识流动与联盟绩效[J]. 科学学研究,2017,35(6):931-939. [25] 孙金花,庄万霞,胡健. 隐性知识异质性对知识型团队创造力的影响:以知识重构为有调节的中介变量[J]. 科技管理研究,2020,40(14):174-183. [26] 王建军,曹宁,叶明海. 多维知识搜寻、知识重构与企业持续创新:IT治理的调节作用[J]. 软科学,2020,34(9):85-89. [27] YU D,HANG C C. A reflective review of disruptive innovation theory[J]. International Journal of Management Reviews,2010,12(4):435-452. [28] STEENSMA H K,HOWARD M,LYLES M,et al. The compensatory relationship between technological relatedness,social interaction,and knowledge flow between firms[J]. Strategic Entrepreneurship Journal,2012,6(4):291-306. [29] ZHAO J Y,XI X,YI S. Resource allocation under a strategic alliance: how a cooperative network with knowledge flow spurs co-evolution[J]. Knowledge-Based Systems,2015,89:497-508. [30] KARIM S,MITCHELL W. Path-dependent and path-breaking change:reconfiguring business resources following acquisitions in the US medical sector,1978-1995[J]. Strategic Management Journal,2000,21(10-11):1061-1081. [31] 周丹. “资源整合”与“资源重构”两大构念比较:基于资源观视角[J]. 外国经济与管理,2012,34(8):18-25. [32] PODSAKOFF P M,MACKENZIE S B,LEE J Y,et al. Common method biases in behavioral research:a critical review of the literature and recommended remedies[J]. The Journal of Applied Psychology,2003,88(5):879-903. [33] FAUL F,ERDFELDER E,BUCHNER A,et al. Statistical power analyses using G*Power 3.1:tests for correlation and regression analyses[J]. Behavior Research Methods,2009,41(4):1149-1160. [34] HAYES A F. Beyond Baron and Kenny:statistical mediation analysis in the new millennium[J]. Communication Monographs,2009,76(4):408-420. |
|
|
|