Government subsidy design: knowledge transfer in R&D networks considering risk attitudes and reputation effects

References

• Afcha, S., and A. Lucena. 2021. “The Effectiveness of R&D Subsidies in Fostering Firm Innovation: The Role of Knowledge-Sourcing Activities.” BRQ Business Research Quarterly 24 (4): 302–323. https://doi.org/10.1177/2340944420933629.
   Web of Science ®Google Scholar
• Antonelli, C., and F. Crespi. 2013. “The "Matthew Effect" in R&D Public Subsidies: The Italian Evidence.” Technological Forecasting and Social Change 80 (8): 1523–1534. https://doi.org/10.1016/j.techfore.2013.03.008.
   Web of Science ®Google Scholar
• Arend, R. J. 2009. “Reputation for Cooperation: Contingent Benefits in Alliance Activity.” Strategic Management Journal 30 (4): 371–385. https://doi.org/10.1002/smj.740.
   Web of Science ®Google Scholar
• Barabási, A.-L., and R. Albert. 1999. “Emergence of Scaling in Random Networks.” Science 286 (5439): 509–512. https://doi.org/10.1126/science.286.5439.509.
   PubMed Web of Science ®Google Scholar
• Bednarz, M., and T. Broekel. 2019. “The Relationship of Policy Induced R&D Networks and Inter-Regional Knowledge Diffusion.” Journal of Evolutionary Economics 29 (5): 1459–1481. https://doi.org/10.1007/s00191-019-00621-2.
   Web of Science ®Google Scholar
• Bernal, P., M. Carree, and B. Lokshin. 2022. “Knowledge Spillovers, R&D Partnerships and Innovation Performance.” Technovation 115:102456. https://doi.org/10.1016/j.technovation.2022.102456.
   Web of Science ®Google Scholar
• Bernsteiner, R., J. Strasser, C. Ploder, S. Schlögl, and T. Dilger. 2019. “Knowledge Governance Helps Minimizing the Risks of External Knowledge Transfer.” Knowledge Management in Organizations 1027:379–391. https://doi.org/10.1007/978-3-030-21451-7_33.
   Google Scholar
• Blank, D. B., B. Hadley, and O. Unsal. 2021. “Financial Consequences of Reputational Damage: Evidence from Government Economic Incentives.” Financial Review 56 (4): 693–719. https://doi.org/10.1111/fire.12274.
   Web of Science ®Google Scholar
• Boeing P. 2016. “The Allocation and Effectiveness of China’s R&D Subsidies – Evidence from Listed Firms.” Research Policy 45 (9): 1774–1789. https://doi.org/10.1016/j.respol.2016.05.007.
   Web of Science ®Google Scholar
• Buchmann, T., and M. Kaiser. 2019. “The Effects of R&D Subsidies and Network Embeddedness on R&D Output: Evidence from the German Biotech Industry.” Industry and Innovation 26 (3): 269–294. https://doi.org/10.1080/13662716.2018.1438247.
   Web of Science ®Google Scholar
• Charness, G., and M. Rabin. 2002. “Understanding Social Preferences with Simple Tests.” The Quarterly Journal of Economics 117 (3): 817–869. https://doi.org/10.1162/003355302760193904.
   Web of Science ®Google Scholar
• Chen, J.-Y., S. Dimitrov, and H. Pun. 2019. “The Impact of Government Subsidy on Supply Chains’ Sustainability Innovation.” Omega 86:42–58. https://doi.org/10.1016/j.omega.2018.06.012.
   Web of Science ®Google Scholar
• Chen, H., Y. Hao, and Y. Yan. 2020. “The Introduction Strategy of the Emerging Online Marketplace Considering Risk Attitude and Channel Power.” International Journal of General Systems 49 (5): 470–496. https://doi.org/10.1080/03081079.2020.1748617.
   Web of Science ®Google Scholar
• Choi, J., and J. Lee. 2017. “Repairing the R&D Market Failure: Public R&D Subsidy and the Composition of Private R&D.” Research Policy 46 (8): 1465–1478. https://doi.org/10.1016/j.respol.2017.06.009.
   Web of Science ®Google Scholar
• Davis, C., and K.-I. Hashimoto 2015. “R&D Subsidies, International Knowledge Diffusion, and Fully Endogenous Productivity Growth.” Macroeconomic Dynamics 19 (8):1816–1838. https://doi.org/10.1017/S1365100514000121.
   Web of Science ®Google Scholar
• Dohmen, T., A. Falk, D. Huffman, U. Sunde, J. Schupp, and G. G. Wagner. 2011. “Individual Risk Attitudes: Measurement, Determinants, and Behavioral Consequences.” Journal of the European Economic Association 9 (3): 522–550. https://doi.org/10.1111/j.1542-4774.2011.01015.x.
   Web of Science ®Google Scholar
• Dubois, D., and D. Guyonnet. 2011. “Risk-informed Decision-Making in the Presence of Epistemic Uncertainty.” International Journal of General Systems 40 (2): 145–167. https://doi.org/10.1080/03081079.2010.506179.
   Web of Science ®Google Scholar
• Fu, Y., Z. Chen, and Y. Lan. 2018. “The Impacts of Private Risk Aversion Magnitude and Moral Hazard in R&D Project Under Uncertain Environment.” Soft Computing 22:5231–5246. https://doi.org/10.1007/s00500-017-2960-5.
   Web of Science ®Google Scholar
• Fu, C., M. Xue, W. Chang, D. Xu, and S. Yang. 2020. “An Evidential Reasoning Approach Based on Risk Attitude and Criterion Reliability.” Knowledge-Based Systems 199:105947. https://doi.org/10.1016/j.knosys.2020.105947.
   Web of Science ®Google Scholar
• Furton, G., and A. Martin. 2019. “Beyond Market Failure and Government Failure.” Public Choice 178 (1-2): 197–216. https://doi.org/10.1007/s11127-018-0623-4.
   Web of Science ®Google Scholar
• Galati, F., and B. Bigliardi. 2019. “Redesigning the Model of the Initiation and Evolution of Inter-Firm Knowledge Transfer in R&D Relationships.” Journal of Knowledge Management 23 (10): 2039–2066. https://doi.org/10.1108/JKM-05-2018-0326.
   Web of Science ®Google Scholar
• Gallo, E., and C. Yan. 2015. “The Effects of Reputational and Social Knowledge on Cooperation.” Proceedings of the National Academy of Sciences 112 (12): 3647–3652. https://doi.org/10.1073/pnas.1415883112.
   PubMed Web of Science ®Google Scholar
• Gao, Y., Y. Hu, X. Liu, and H. Zhang. 2021. “Can Public R&D Subsidy Facilitate Firms’ Exploratory Innovation? The Heterogeneous Effects Between Central and Local Subsidy Programs.” Research Policy 50 (4): 104221. https://doi.org/10.1016/j.respol.2021.104221.
   Web of Science ®Google Scholar
• Gong, Y., S. Liu, and Y. Bai. 2020. “Reputation-based co-Evolutionary Model Promotes Cooperation in Prisoner's Dilemma Game.” Physics Letters A 384 (11): 126233. https://doi.org/10.1016/j.physleta.2020.126233.
   Web of Science ®Google Scholar
• Havakhor, T., A. A. Soror, and R. Sabherwal. 2018. “Diffusion of Knowledge in Social Media Networks: Effects of Reputation Mechanisms and Distribution of Knowledge Roles.” Information Systems Journal 28 (1): 104–141. https://doi.org/10.1111/isj.12127.
   Web of Science ®Google Scholar
• Huang, X., P. Guo, X. Wang, and D. Wang. 2021. “Modeling and Analysis of Interorganizational Knowledge Transfer Considering Reputation Mechanisms.” Sustainability 13 (24): 14020. https://doi.org/10.3390/su132414020.
   Web of Science ®Google Scholar
• Jaeger, D. A., T. Dohmen, A. Falk, D. Huffman, U. Sunde, and H. Bonin. 2010. “Direct Evidence on Risk Attitudes and Migration.” Review of Economics and Statistics 92 (3): 684–689. https://doi.org/10.1162/REST_a_00020.
   Web of Science ®Google Scholar
• Jeon, C., J. Lee, and J. Shin. 2015. “Optimal Subsidy Estimation Method Using System Dynamics and the Real Option Model: Photovoltaic Technology Case.” Applied Energy 142:33–43. https://doi.org/10.1016/j.apenergy.2014.12.067.
   Web of Science ®Google Scholar
• Klette, T. J., J. Møen, and Z. Griliches. 2000. “Do Subsidies to Commercial R&D Reduce Market Failures? Microeconometric Evaluation Studies.” Research Policy 29 (4): 471–495. https://doi.org/10.1016/S0048-7333(99)00086-4.
   Web of Science ®Google Scholar
• Koh, Y., and G. M. Lee. 2023. “R&D Subsidies in Permissive and Restrictive Environment: Evidence from Korea.” Research Policy 52 (1): 104620. https://doi.org/10.1016/j.respol.2022.104620.
   Web of Science ®Google Scholar
• Koller, T., D. Lovallo, and Z. Williams. 2012. “Overcoming a Bias Against Risk.” McKinsey Quarterly 4:15–17.
   Google Scholar
• König, M. D., S. Battiston, M. Napoletano, and F. Schweitzer. 2012. “The Efficiency and Stability of R&D Networks.” Games and Economic Behavior 75 (2): 694–713. https://doi.org/10.1016/j.geb.2011.12.007.
   Web of Science ®Google Scholar
• Kozine I. 2018. “On a True Value of Risk.” International Journal of General Systems 47 (3): 263–277. https://doi.org/10.1080/03081079.2017.1415896.
   Web of Science ®Google Scholar
• Li, Y., and H. Ye. 2018. “Effect of the Migration Mechanism Based on Risk Preference on the Evolution of Cooperation.” Applied Mathematics and Computation 320:621–632. https://doi.org/10.1016/j.amc.2017.10.023.
   Web of Science ®Google Scholar
• Lin, M., and N. Li. 2010. “Scale-free Network Provides an Optimal Pattern for Knowledge Transfer.” Physica A: Statistical Mechanics and its Applications 389 (3): 473–480. https://doi.org/10.1016/j.physa.2009.10.004.
   Web of Science ®Google Scholar
• Liu, Y., J. Li, J.-S. Liu, L.-F. Wang, and J. Yi. 2023. “A Government-Subsidies Incentive Mechanism for Research and Development of Industrial Generic Technologies.” IEEE Transactions on Engineering Management 70 (6): 2305–2319. https://doi.org/10.1109/TEM.2021.3069052.
   Web of Science ®Google Scholar
• Low, K. Y. J., and J. A. Robins. 2014. “Finding Knowledge: The Role of Reputation in Knowledge-Transfer to Chinese Companies.” Long Range Planning 47 (6): 353–364. https://doi.org/10.1016/j.lrp.2014.10.001.
   Web of Science ®Google Scholar
• Lu, X., X. Wang, K.-S. Chin, and Y. Qin. 2017. “Competitive Strategy in Remanufacturing and the Effects of Government Subsidy.” Journal of Systems Science and Systems Engineering 26 (4): 417–432. https://doi.org/10.1007/s11518-017-5345-5.
   Web of Science ®Google Scholar
• Majuri, M. 2022. “Inter-firm Knowledge Transfer in R&D Project Networks: A Multiple Case Study.” Technovation 115:102475. https://doi.org/10.1016/j.technovation.2022.102475.
   Web of Science ®Google Scholar
• Nagy, R. L. G., S.-E. Fleten, and L. H. Sendstad. 2023. “Don’t Stop me now: Incremental Capacity Growth Under Subsidy Termination Risk.” Energy Policy 172:113309. https://doi.org/10.1016/j.enpol.2022.113309.
   Web of Science ®Google Scholar
• Ning, L., R. Guo, and K. Chen. 2022. “R&D Subsidies, Novelty of Firm Innovation and Industrial Technological Complexity: The Knowledge Recombinant View” R&D Management 52 (5): 820–837. https://doi.org/10.1111/radm.12523.
   Web of Science ®Google Scholar
• Nishimura, J., and H. Okamuro. 2011. “Subsidy and Networking: The Effects of Direct and Indirect Support Programs of the Cluster Policy.” Research Policy 40 (5): 714–727. https://doi.org/10.1016/j.respol.2011.01.011.
   Web of Science ®Google Scholar
• Qazi, A., and P. Akhtar. 2020. “Risk Matrix Driven Supply Chain Risk Management: Adapting Risk Matrix Based Tools to Modelling Interdependent Risks and Risk Appetite.” Computers & Industrial Engineering 139:105351. https://doi.org/10.1016/j.cie.2018.08.002.
   Web of Science ®Google Scholar
• Qiao, T., W. Shan, M. Zhang, and C. Liu. 2019. “How to Facilitate Knowledge Diffusion in Complex Networks: The Roles of Network Structure, Knowledge Role Distribution and Selection Rule.” International Journal of Information Management 47:152–167. https://doi.org/10.1016/j.ijinfomgt.2019.01.016.
   Web of Science ®Google Scholar
• Qiu, R., Y. Wang, and T. Chen. 2019. “The Intertemporal Evolution Model of Enterprise R&D Cooperative Network.” Discrete Dynamics in Nature and Society 2019:1–12. https://doi.org/10.1155/2019/9241817.
   Web of Science ®Google Scholar
• Quan, J., C. Tang, Y. Zhou, X. Wang, and J.-B. Yang. 2020. “Reputation Evaluation with Tolerance and Reputation-Dependent Imitation on Cooperation in Spatial Public Goods Game.” Chaos, Solitons & Fractals 131:109517. https://doi.org/10.1016/j.chaos.2019.109517.
   Web of Science ®Google Scholar
• Ren, Y., G. Wang, L. Yu, B. Shi, W. Hu, and Z. Wang. 2018. “Rigorous or Tolerant: The Effect of Different Reputation Attitudes in Complex Networks.” Future Generation Computer Systems 83:476–484. https://doi.org/10.1016/j.future.2017.09.006.
   Web of Science ®Google Scholar
• Shanmugam, R. K., and T. Dhingra. 2023. “Outcome-based Contracts – Linking Technology, Ownership and Reputations.” International Journal of Information Management 70:102624. https://doi.org/10.1016/j.ijinfomgt.2023.102624.
   Web of Science ®Google Scholar
• Shao, K., and X. Wang. 2023. “Do Government Subsidies Promote Enterprise Innovation?——Evidence from Chinese Listed Companies.” Journal of Innovation & Knowledge 8 (4): 100436. https://doi.org/10.1016/j.jik.2023.100436.
   Web of Science ®Google Scholar
• Shi, T., F. Han, L. Chen, J. Shi, and H. Xiao. 2023. “Study on Value Co-Creation and Evolution Game of low-Carbon Technological Innovation Ecosystem.” Journal of Cleaner Production 414:137720. https://doi.org/10.1016/j.jclepro.2023.137720.
   Web of Science ®Google Scholar
• Stjerne, I. S., J. Söderlund, and D. Minbaeva. 2019. “Crossing Times: Temporal Boundary-Spanning Practices in Interorganizational Projects.” International Journal of Project Management 37 (2): 347–365. https://doi.org/10.1016/j.ijproman.2018.09.004.
   Web of Science ®Google Scholar
• Sun, X., R. Yu, Y. Wang, and S. R. N. Colombage. 2020. “Do Government Subsidies Stimulate Firms’ R&D Efforts? Empirical Evidence from China.” Asian Journal of Technology Innovation 28 (2): 163–180. https://doi.org/10.1080/19761597.2020.1719018.
   Web of Science ®Google Scholar
• Tarraço, E. L., R. C. Bernardes, F. M. Borini, and D. E. Rossetto. 2019. “Innovation Capabilities for Global R&D Projects in Subsidiaries.” European Journal of Innovation Management 22 (4): 639–659. https://doi.org/10.1108/EJIM-08-2018-0185.
   Web of Science ®Google Scholar
• Temple, J., and R. E. Landaeta. 2020. “Countervailing Risk Management Through Knowledge Transfer.” Engineering Management Journal 32 (4): 242–252. https://doi.org/10.1080/10429247.2020.1753489.
   Web of Science ®Google Scholar
• Wang, C.-Y. 2019. “Cross-over Effects of Corporate Reputation and Store Image: Role of Knowledge and Involvement.” Management Decision 57 (11): 3096–3111. https://doi.org/10.1108/MD-11-2016-0810.
   Web of Science ®Google Scholar
• Wang, L., S. Li, and Z. You. 2020. “The Effects of Knowledge Transfer on Innovation Capability: A Moderated Mediation Model of Absorptive Capability and Network Reliance.” The Journal of High Technology Management Research 31 (1): 100372. https://doi.org/10.1016/j.hitech.2020.100372.
   Google Scholar
• Weber, E. U., A.-R. Blais, and N. E. Betz. 2002. “A Domain-Specific Risk-Attitude Scale: Measuring Risk Perceptions and Risk Behaviors” Journal of Behavioral Decision Making 15 (4): 263–290. https://doi.org/10.1002/bdm.414.
   Web of Science ®Google Scholar
• Wu, A., and H. Li. 2022. “The Impact of Government Subsidies on Contract Design of Green Technology R&D Cooperation.” Technology Analysis & Strategic Management 34 (11): 1263–1279. https://doi.org/10.1080/09537325.2021.1950679.
   Web of Science ®Google Scholar
• Xu, R., Y. Shen, M. Liu, L. Li, X. Xia, and K. Luo. 2023. “Can Government Subsidies Improve Innovation Performance? Evidence from Chinese Listed Companies.” Economic Modelling 120:106151. https://doi.org/10.1016/j.econmod.2022.106151.
   Web of Science ®Google Scholar
• Xu, J., X. Zhu, and J. Guan. 2018. “Evolution of Knowledge Transfer Network of R&D Team in Manufacturing Enterprises Based on Evolutionary Game Theory.” Journal of Systems Engineering 33 (02): 145–156. https://doi.org/10.13383/j.cnki.jse.2018.02.001.
   Google Scholar
• Yström, A., S. Ollila, M. Agogué, and D. Coghlan. 2019. “The Role of a Learning Approach in Building an Interorganizational Network Aiming for Collaborative Innovation.” The Journal of Applied Behavioral Science 55 (1): 27–49. https://doi.org/10.1177/0021886318793383.
   Web of Science ®Google Scholar
• Zeng W., Li M., Chen F., and Nan G. 2016. “Risk Consideration and Cooperation in the Iterated Prisoner’s Dilemma.” Soft Computing 20 (2):567–587. https://doi.org/10.1007/s00500-014-1523-2.
   Web of Science ®Google Scholar