技术环境动荡性增加、技术迭代周期缩短的背景下，如何持续不断从创新中获益成为企业面临的重大挑战。技术创新成果一方面具备为企业带来经济收益的原生价值，同时也具备作为未来创新的知识基础激发后续技术创新的“衍生价值”。本文认为，持续从创新中获益的关键在于获取技术的衍生价值。结合创新获利理论与企业内部网络视角，本文探究企业内部知识网络与合作网络动态性对企业获取技术衍生价值的影响。基于我国制药领域企业数据的实证结果表明：企业内部知识网络动态性与内部合作网络动态性均有助于企业获取自身技术创新成果的衍生价值，但在企业组织间研发网络中心度高的情况下，这种积极作用被削弱。通过动态调整内部网络结构，企业能够更好地应对技术环境的快速变化，持续从创新中获利。
Abstract
With shortened technological lifecycle and rapid technological change, it is a major challenge for firms to continuously benefit from innovation. Technological inventions not only have an intrinsic value as solutions to specific technical problems, but also create generative value as the knowledge base and springboard for future technological inventions. Many existing studies focus on the primary appropriability to obtain revenues from technological inventions by incorporating them into products and licensing them in the market for technology. However, to continuously benefit from innovation, firms must also consider how to enhance generative appropriability, i.e., enhance the effectiveness of capturing greatest share of value from existing inventions by spawning from these existing technologies to generate future inventions. On the one hand, firms should promote sequential inventions and prevent their inventions from being imitated and exploited by competitors to sustain their competitive advantages. On the other hand, building on prior inventions would help firms to obtain subsequent products with improved performance, create higher commercial prospects than the original ones, and capture more revenue from their prior innovation efforts. Thus, enhancing generative appropriability is vital for firms to continuously benefit from innovation and sustain competitive advantage. Most existing literature focuses on primary appropriability. However, studies on generative appropriability remain relatively few. How to capture the generative value of inventions and continuously benefit from innovation is still under-explored. While primary appropriability emphasizes the effectiveness of achieving profits from innovation by commercializing inventions, generative appropriability highlights the importance of capturing value from subsequent technologies spawned by a firm′s existing technologies. There are still some theoretical gaps to be filled. First, prior literature indicates that appropriability mechanisms such as intellectual property regimes, trade secrets and complementary assets help protect and commercialize inventions to enhance primary appropriability. The effectiveness and potential roles of other types of informal appropriability mechanisms, such as internal networks, has yet to be thoroughly analyzed. To enhance generative appropriability, firms may need to dynamically change the structure of their internal knowledge network and collaboration network to promote sequential innovation and prevent imitation from competitors. Second, although prior literature has extensively investigated the impact of internal networks on innovation performance, relatively few studies have examined how internal network influence value capture, especially the dynamics of internal networks.To address these gaps, this study integrates profiting from innovation framework and internal network perspective to examine the impact of the dynamics of a firm′s internal knowledge network and collaboration network on generative appropriability. We argue that internal knowledge network dynamics, which promote knowledge recombination and sequential innovation and form imitation barriers, will lead to higher generative appropriability. Internal collaboration network dynamics also enhance generative appropriability by facilitating learning among inventors to effectively exploit existing technology, as well as by intensifying social complexity and increasing the imitation cost of competitors. In addition, the two positive relationships are weakened when the firm′s inter-organizational R&D network centrality is high due to frequent knowledge outflow and inter-organization interactions.We conduct an empirical analysis using a panel dataset of 965 Chinese pharmaceutical companies from 2005 to 2020. Results based on the panel data fixed effects model show that both the dynamics of the internal knowledge network and collaboration network help firms to capture the generative value of their technological inventions, but this positive effect is weakened when the inter-organizational R&D network centrality of firms is high. The results show that by dynamically adjusting the internal network structure, firms can better adapt to the rapid changes in the technological environment and continuously profit from innovation. This paper′s contributions are twofold. First, this paper enriches the studies on profiting from innovation by identifying internal knowledge network and collaboration network dynamics as the antecedents of generative appropriability. Secondly, this paper extends the studies on internal networks. By differentiating the mechanisms of internal knowledge network and collaboration network dynamics on generative appropriability, our study also provides empirical evidence that internal networks work effectively not only as a way for value creation but also for value appropriation.
关键词
创新获利 /
价值独占 /
衍生占有性 /
知识网络 /
合作网络
Key words
profit from innovation /
value appropriability /
generative appropriability /
knowledge network /
collaboration network
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参考文献
[1] Teece D J. Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy[J]. Research policy, 1986,15(6):285-305.
[2] Teece D J. Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world[J]. Research Policy, 2018,47(8):1367-1387.
[3] Hurmelinna-Laukkanen P, Yang J. Distinguishing between appropriability and appropriation: A systematic review and a renewed conceptual framing[J]. Research Policy, 2022,51(1):104417.
[4] Grimpe C, Hussinger K. Resource complementarity and value capture in firm acquisitions: The role of intellectual property rights[J]. Strategic Management Journal, 2014,35(12):1762-1780.
[5] Ahuja G, Lampert C M, Novelli E. The Second Face of Appropriability: Generative Appropriability and Its Determinants[J]. Academy of Management Review, 2013,38(2):248-269.
[6] Arrow K. Economic welfare and the allocation of resources for invention[M]//The rate and direction of inventive activity: Economic and social factors. Princeton University Press, 1962:609-626.
[7] 应瑛, 张浩, 孔小磊. 从架构创新中获益: 持续价值独占机制研究[J]. 科学学研究, 2021,39(7):1305.
[8] Hurmelinna P, Kyl?heiko K, Jauhiainen T. The Janus face of the appropriability regime in the protection of innovations: Theoretical re-appraisal and empirical analysis[J]. Technovation, 2007,27(3):133-144.
[9] James S D, Leiblein M J, Lu S. How firms capture value from their innovations[J]. Journal of management, 2013,39(5):1123-1155.
[10] 沈慧君, 孙嘉悦, 黄灿, 等. 知识来源的地理范围、研发模式与创新价值获取[J]. 科学学研究, 2020,38(07):1285-1293.
[11] Schillebeeckx S J D, Lin Y, George G, et al. Knowledge Recombination and Inventor Networks: The Asymmetric Effects of Embeddedness on Knowledge Reuse and Impact[J]. Journal of Management, 2021,47(4):838-866.
[12] Carnabuci G, Operti E. Where do firms' recombinant capabilities come from? Intraorganizational networks, knowledge, and firms' ability to innovate through technological recombination[J]. Strategic management journal, 2013,34(13):1591-1613.
[13] Guo Y, Zheng G. Recombinant Capabilities, R&D Collaboration, and Innovation Performance of Emerging Market Firms in High-Technology Industry[J]. IEEE Transactions on Engineering Management, 2021.
[14] Yayavaram S, Ahuja G. Decomposability in knowledge structures and its impact on the usefulness of inventions and knowledge-base malleability[J]. Administrative science quarterly, 2008,53(2):333-362.
[15] Yayavaram S, Chen W. Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity[J]. Strategic Management Journal, 2015,36(3):377-396.
[16] Alcácer J, Zhao M. Local R&D strategies and multilocation firms: The role of internal linkages[J]. Management Science, 2012,58(4):734-753.
[17] Inkpen A, Minbaeva D, Tsang E W K. Unintentional, unavoidable, and beneficial knowledge leakage from the multinational enterprise[J]. Journal of international business studies, 2018,50(2):250-260.
[18] Zhao M. Conducting R&D in countries with weak intellectual property rights protection[J]. Management science, 2006,52(8):1185-1199.
[19] Yan Y, Li J, Zhang J. Protecting intellectual property in foreign subsidiaries: An internal network defense perspective[J]. Journal of international business studies, 2021.
[20] Wang C, Rodan S, Fruin M, et al. Knowledge networks, collaboration networks, and exploratory innovation[J]. Academy of Management Journal, 2014,57(2):484-514.
[21] Brennecke J, Rank O. The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study[J]. Research Policy, 2017,46(4):768-783.
[22] Ahuja G. Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study[J]. Administrative science quarterly, 2000,45(3):425-455.
[23] Gulati R, Nohria N, Zaheer A. Strategic networks[J]. Strategic management journal, 2000,21(3):203-215.
[24] Laursen K, Moreira S, Reichstein T, et al. Evading the boomerang effect: using the grant-back clause to further generative appropriability from technology licensing deals[J]. Organization Science, 2017,28(3):514-530.
[25] Eisenman M, Paruchuri S. Inventor knowledge recombination behaviors in a pharmaceutical merger: The role of intra-firm networks[J]. Long Range Planning, 2019,52(2):189-201.
[26] Tandon V, Ertug G, Carnabuci G. How do prior ties affect learning by hiring?[J]. Journal of Management, 2020,46(2):287-320.
[27] Sharapov D, MacAulay S C. Design as an Isolating Mechanism for Capturing Value from Innovation: From Cloaks and Traps to Sabotage[J]. The Academy of Management review, 2022,47(1):139-161.
[28] Kim M. Geographic scope, isolating mechanisms, and value appropriation[J]. Strategic Management Journal, 2016,37(4):695-713.
[29] 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.
[30] Moreira S, Markus A, Laursen K. Knowledge diversity and coordination: The effect of intrafirm inventor task networks on absorption speed[J]. Strategic management journal, 2018,39(9):2517-2546.
[31] Phelps C, Heidl R, Wadhwa A. Knowledge, Networks, and Knowledge Networks[J]. Journal of Management, 2012,38(4):1115-1166.
[32] Khanna R, Guler I. Degree assortativity in collaboration networks and invention performance[J]. Strategic Management Journal, 2022,43(7):1402-1430.
[33] Aggarwal V A, Hsu D H, Wu A. Organizing knowledge production teams within firms for innovation[J]. Strategy Science, 2020,5(1):1-16.
[34] Fleming L. Recombinant Uncertainty in Technological Search[J]. Management science, 2001,47(1):117-132.
[35] Schumpeter J A. Business cycles[M]. McGraw-Hill New York, 1939.
[36] Yan Y, Guan J. Social capital, exploitative and exploratory innovations: The mediating roles of ego-network dynamics[J]. Technological Forecasting and Social Change, 2018,126:244-258.
[37] Kumar P, Zaheer A. Ego-Network Stability and Innovation in Alliances[J]. Academy of Management Journal, 2019,62(3):691-716.
[38] Ahuja G, Soda G, Zaheer A. The genesis and dynamics of organizational networks[J]. Organization science, 2012,23(2):434-448.
[39] Wang J, Yang N. Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks[J]. Scientometrics, 2019,121(2):1067-1084.
[40] Wang J, Yang N, Guo M. Ego-network stability and exploratory innovation: the moderating role of knowledge networks[J]. Management Decision, 2020,59(6):1406-1420.
[41] 曾德明, 张志东, 赵胜超. 科学合作网络、伙伴动态性与企业创新绩效[J]. 科学学研究, 2022,40(05):906-914.
[42] Fleming L, Sorenson O. Technology as a complex adaptive system: evidence from patent data[J]. Research policy, 2001,30(7):1019-1039.
[43] Tzabbar D, Cirillo B, Breschi S. The Differential Impact of Intrafirm Collaboration and Technological Network Centrality on Employees’ Likelihood of Leaving the Firm[J]. Organization science, 2021.
[44] Zhang G, Tang C. How could firm's internal R&D collaboration bring more innovation?[J]. Technological Forecasting and Social Change, 2017,125:299-308.
[45] Seo E, Kang H, Song J. Blending talents for innovation: Team composition for cross-border R&D collaboration within multinational corporations[J]. Journal of international business studies, 2020,51(5):851-885.
[46] 杨博旭, 王玉荣, 李兴光. “厚此薄彼”还是“雨露均沾”——组织如何有效利用网络嵌入资源提高创新绩效[J]. 南开管理评论, 2019,22(03):201-213.
[47] 应瑛, 刘洋, 魏江. 开放式创新网络中的价值独占机制:打开“开放性”和“与狼共舞”悖论[J]. 管理世界, 2018,34(02):144-160.
[48] Laursen K, Salter A J. The paradox of openness: Appropriability, external search and collaboration[J]. Research policy, 2014,43(5):867-878.
[49] Alnuaimi T, George G. Appropriability and the retrieval of knowledge after spillovers[J]. Strategic Management Journal, 2016,37(7):1263-1279.
[50] 张娜, 刘凤朝. 双层次合作网络构建对企业探索性创新绩效的影响[J]. 管理工程学报, 2021,35(01):1-11.
[51] 刘娜, 嵇金星, 毛荐其, 等. 发明者网络社群动态配置及对创新能力的影响[J]. 科研管理, 2021,42(09):44-51.
[52] Guan J, Liu N. Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy[J]. Research Policy, 2016,45(1):97-112.
[53] 厉娜, 林润辉, 谢在阳. 多重网络嵌入下企业探索式创新影响机制研究[J]. 科学学研究, 2020,38(01):169-179.
[54] 王海花, 王蒙怡, 刘钊成. 跨区域产学协同创新绩效的影响因素研究：依存型多层网络视角[J]. 科研管理, 2022,43(02):81-89.
基金
国家自然科学基金青年项目：“校企技术许可情境中企业衍生占有性研究:基于‘技术-主体’的分析框架”（72202214）；国家自然科学基金面上项目：“基于专利交易数据的中国高校和科研院所技术转移的机制和政策分析”（71874152）；国家社会科学基金重点项目：“聚焦关键核心技术突破的企业技术创新能力提升研究”（21AZD010）。
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