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The Configuration Path of Corporate Innovation Flexibility: A Fuzzy-set Qualitative Comparative Analysis |
Zhu Xuechun1,Xu Xin1,Zhang Wei2 |
(1. School of Management, Jiangsu University, Zhenjiang 212013, China;2. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China) |
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Abstract Innovation is the primary engine of development and the strategic support for constructing modern economic system. Enterprise is the most important force for innovation and playing a significant role in building innovation-oriented country. The rapidly changing external environment intensifies market competition.It is the key to win competitive advantages if a company can achieve innovation at low cost and obtain good innovation flexibility. The promoting effect of innovation flexibility on enterprise development is emphasized, but the research on antecedent factors of innovation flexibility is not rich at present. Existing literature cannot provide sufficient guidance for enterprises to enhance innovation flexibility. Therefore, how to effectively improve corporate innovation flexibility is a practical and scientific problem to be solved urgently. The effect of network capability and knowledge co-creation on corporate innovation has attracted academic attention. Network capability can help enterprises identify the value and opportunity in the external environment and effectively obtain innovation resources so that they can improve innovation ability. Knowledge co-creation can help enterprises reduce the cost of knowledge acquisition, carry out innovation activities, accelerate innovation and improve innovation performance at last. Innovation flexibility is affected by multiple factors, and different combinations of factors may produce the same results. However, the existing literature about corporate innovation flexibility does not systematically study the effect of different combinations of factors, and fails to effectively reveal the interaction between network capability and knowledge co-creation on corporate innovation flexibility. The qualitative comparative analysis (QCA) method from the configuration perspective can overcome the limitation of traditional research methods. It helps to deeply explore the configuration effect of multiple factors from systematic and comprehensive perspective. The configuration perspective is more suitable for studying the synergistic effect of network capability and knowledge co-creation on corporate innovation flexibility.#br#From the configuration perspective, the study uses the fuzzy-set qualitative comparative analysis (fsQCA) method to explore the linkage effect and path selection of corporate innovation flexibility from two levels of network capability and knowledge co-creation with five variables. The study uses a questionnaire survey to collect data and it is divided into two stages including pre-survey and formal survey, with 323 valid questionnaires at last.#br#The main conclusions are as follows. Firstly, network vision, network construction, network management, joint knowledge co-creation, and embedded knowledge co-creation are not necessary conditions for high or non-high innovation flexibility. A single antecedent condition has weak explanatory power for innovation flexibility. This shows that there are multifactors to enhance corporate innovation flexibility. Secondly, there are three ways to improve corporate innovation flexibility including resource acquisition, development-management and monotype. Lastly, there are two non-high-innovation flexibility paths and they are asymmetrically related to the influencing factors of high innovative flexibility paths.#br#The research incorporates network capability and knowledge co-creation into the theoretical framework. It studies the combined effect of network capability and knowledge on corporate innovation flexibility.It reveals the complex causal mechanism of network capability and knowledge on corporate innovation flexibility, and deeply analyzes the influence of synergistic linkage among multiple variables on corporate innovation flexibility. It can not only make up for the inadequacy of studying corporate innovation flexibility from a single-dimensional perspective, but also reveals the synergistic effect mechanism of network capability and knowledge co-creation on corporate innovation flexibility. At the same time, the paper studies innovation flexibility with QCA method and finds multiple paths and key elements for improving corporate innovation flexibility. The research findings can help to expand the application field of QCA method. Meanwhile, the study finds three high-innovation flexibility paths and two non-high-innovation flexibility paths which can better explain diversified paths to improve innovation flexibility. There arepractical implications for enterprises. Firstly, facing the uncertain external environment, the company can choose suitable paths based on its own technical features and management level with concentrating resources on key capabilities. Secondly, the company should choose the appropriate mode of knowledge co-creation and network, and make use of knowledge and other network resources effectively. Finally, the company needs systematic analysis and scientific judgment to accurately understand the relationship between knowledge co-creation and network capability to grasp the core elements for innovation flexibility.#br#
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Received: 26 September 2021
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[1] KANOVSKA L, DOUBRAVSKY K. Does provision of smart services depend on cooperation flexibility, innovation flexibility, innovation performance or business performance in SMEs[J]. Periodica Polytechnica Social and Management Sciences, 2021, 29(1): 64-69.[2] 孟凡生, 赵刚. 创新柔性对制造企业智能化转型影响机制研究[J].科研管理, 2019, 40(4): 74-82.[3] 邢蕊, 王国红. 创业导向、创新柔性和科技在孵企业创新绩效[J].科学学与科学技术管理, 2014, 35(7): 116-127.[4] LIAO Y, BARNES J. Knowledge acquisition and product innovation flexibility in SMEs[J].Business Process Management Journal, 2015, 21(6): 1257-1278.[5] 倪渊. 核心企业网络能力与集群协同创新:一个具有中介的双调节效应模型[J].管理评论, 2019, 31(12): 85-99.[6] 郑胜华, 李俊生. 从关系能力到网络能力:合作能力演化阶段研究及展望[J].科技进步与对策, 2020, 37(21): 152-160.[7] MOLLER K, HALINEN A. Business relationships and networks:managerial challenge of networks era[J].Industrial Marketing Management, 1999, 28(5): 413-427.[8] RUSANEN H, HALINEN A, JAAKKOLA E. Accessing resources for service innovation:the critical role of network relationships[J].Journal of Service Management, 2014, 25(1): 2-29.[9] ADLER P S, KWON S W. Social capital: prospects for a new concept[J].Academy of Management Review, 2002, 27(1): 17-40.[10] 杜运周, 李佳馨, 刘秋辰,等.复杂动态视角下的组态理论与QCA方法: 研究进展与未来方向[J].管理世界, 2021, 37(3): 180-197,12-13.[11] BACON E, WILLIAMS M D, DAVIES G. Coopetition in innovation ecosystems: a comparative analysis of knowledge transfer configurations[J].Journal of Business Research, 2020, 115:307-316.[12] 张司飞, 王琦. “同归殊途”区域创新发展路径的探索性研究——基于创新系统共生体理论框架的组态分析[J].科学学研究, 2021, 39(2): 233-243,374.[13] DOUGLAS E J, SHEPHERD D A, PRENTICE C. Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship[J].Journal of Business Venturing, 2020, 35(1): 1-17.[14] TEHSEEN S, SAJILAN S. Network competence based on resource-based view and resource dependence theory[J].International Journal of Trade & Global Markets, 2016, 9(1): 60-82.[15] 季桓永. 网络能力视角下开放式创新对企业绩效的影响机制研究[D].北京: 北京邮电大学, 2017.[16] KOKA B R, PRESCOTT J E. Designing alliance networks:the influence of network position, environmental change,and strategy on firm performance[J].Strategic Management Journal, 2008, 29(6): 639-661.[17] 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.[18] 朱秀梅, 陈琛, 蔡莉. 网络能力、资源获取与新企业绩效关系实证研究[J].管理科学学报, 2010, 13(4): 44-56.[19] CROZET M, MILET E. Should everybody be in services? the effect of servitization on manufacturing firm performance[J].Journal of Economics & Management Strategy, 2017, 26(4): 820-841.[20] MOHAGHAR A, JAFARNEJAD A, MIRKAZEMI M, et al. A framework to evaluate customer knowledge co-creation capacity for new product development[J].African Journal of Business Management, 2012, 6(21): 6401-6414.[21] LICHTENTHALER U, ERNET H. Attitudes to externally organizing knowledge management tasks a review, reconsideration and extension of the NIH syndrome [J].R&D Management, 2006, 36(4): 367-386.[22] ZAHEER A, BELL G G. Benefiting from network position: firm capabilities, structural holes, and performance[J].Strategic Management Journal, 2005, 26(9): 809-825.[23] 屠兴勇, 王泽英, 张琪,等. 基于动态环境的网络能力与渐进式创新绩效:知识资源获取的中介作用[J].管理工程学报, 2019, 33(2): 42-49.[24] RAGIN C C.The comparative method: moving beyond qualitative and quantitative strategies[M].Berkeley: University of California Press, 1987.[25] 杜运周. 组织与创业领域: 组态视角下的创业研究[J].管理学季刊, 2019, 4(3): 31-41,140.[26] NARASIMHAN R, DAS A. Manufacturing agility and supply chain management practices[J].Production and Inventory Management, 1999, 40(1): 4-11.[27] 张培, 杨迎. 行动主体参与度、知识共创与服务创新绩效[J].软科学, 2019, 33(9): 113-119.[28] 谭海波, 范梓腾, 杜运周. 技术管理能力、注意力分配与地方政府网站建设:一项基于TOE框架的组态分析[J].管理世界, 2019, 35(9): 81-94.[29] SCHNEIDER C Q, WAGEMANN C. Set-theoretic methods for the social sciences: a guide to qualitative comparative analysis[J].International Journal of Social Research Methodology, 2012, 16(2): 165-166.[30] RITTER T, GEMUNDEN H G. Inter-organizational relationships and networks: an overview[J].Journal of Business Research, 2003, 56(8): 691-697.[31] KLINGEBIEL R, RAMMER C. Resource allocation strategy for innovation portfolio management[J].Strategic Management Journal, 2014, 35(2): 246-268.[32] KRAUS S, RIBEIRO-SORIANO D, SCHUSSLER M. Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research: The rise of a method[J].International Entrepreneurship and Management Journal, 2018, 14(1): 15-33. |
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