Abstract
In this paper, the differentiated incentive effect of patent pool formation on specific technology learning of high-tech companies is empirically analyzed, based on open innovation theory and innovation network theory. The patents applied by companies in the MPEG-2 patent pool from 1997 to 2018 are collected as panel data. From the open innovation perspective, the logical relationship between patent pool formation, network position, and specific technology learning is revealed. The research results show that establishing a patent pool promotes specific technology learning among enterprises in the pool; compared to enterprises at the edge of the network, establishing a patent pool can more effectively promote specific technology learning among enterprises in the center of the network.
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References
Lampe, R., and P. Moser. 2010. Do patent pools encourage innovation evidence from the 19th-century sewing machine industry. The Journal of Economic History 70 (04): 898–920.
Vakili, K. 2016. Collaborative promotion of technology standards and the impact on innovation, industry structure, and organizational capabilities: evidence from modern patent pools. Organization Science 27 (6): 1504–1524.
Wenpin, Tsai. 2001. Knowledge transfer in intraorganizational networks: effects of network position and absorptive capacity on business unit innovation and performance. The Academy of Management Journal 44 (5): 996–1004.
Chesbrough, H., and A.K. Crowther. 2006. Beyond high tech: early adopters of open innovation in other industries. R & D management 36 (3): 229–236.
Gentile-Ludecke, S., R. Torres De Oliveira, and J. Paul. 2019. Does organizational structure facilitate inbound and outbound open innovation in SMEs? Small Business Economics 55 (4): 1022–1091.
Reisinger, M., and E. Tarantino. 2019. Patent pools, vertical integration, and downstream competition. The Rand Journal of Economics 50 (1): 168–200.
Cheng, C.C.J., and E.C. Shiu. 2015. The inconvenient truth of the relationship between open innovation activities and innovation performance. Management Decision 53 (3): 625–647.
Joshi, A.M., and A. Nerkar. 2011. When do strategic alliances inhibit innovation by firms? Evidence from patent pools in the global optical disc industry. Strategic Management Journal 32 (11): 1139–1160.
Yang, H., Y. Zheng, and A. Zaheer. 2015. Asymmetric learning capabilities and stock market returns. Academy of Management Journal 58 (2): 356–374.
Ceccagnoli, M., and L. Jiang. 2013. The cost of integrating external technologies: Supply and demand drivers of value creation in the markets for technology. Strategic Management Journal 34 (4): 404–425.
Gulati, R. 1999. Network location and learning: the influence of network resources and firm capabilities on alliance formation. Strategic Management Journal 20 (5): 397–420.
Kim, H. 2019. How a firm’s position in a whole network affects innovation performance. Technology Analysis & Strategic Management 31 (2): 155–168.
Lampert, H., and D. Wettstein. 2020. Patents and pools in pyramidal innovation structures. International Journal of Industrial Organization 69: 102580.
Gallini, N. 2014. Cooperating with competitors: patent pooling and choice of a new standard. International Journal of Industrial Organization 36: 4–21.
Juneja, S., A. Gupta, S. Moon, et al. 2017. Projected savings through public health voluntary licences of HIV drugs negotiated by the Medicines Patent Pool (MPP). PLoS ONE 12 (5): e177770.
Zaheer, A., and G.G. Bell. 2005. Benefiting from network position: Firm capabilities, structural holes, and performance. Strategic Management Journal 26 (9): 809–825.
Ahuja, G. 2000. Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly 45: 425–456.
Kale, P., H. Singh, and H. Perlmutter. 2000. Learning and protection of proprietary assets in strategic alliances: Building relational capital. Strategic Management Journal 21 (3): 217–237.
Sampson, R.C. 2007. R & D alliances and firm performance: The impact of technological diversity and alliance organization on innovation. Academy of Management Journal 50 (2): 364.
Gomes-Casseres, B., J. Hagedoorn, and A.B. Jaffe. 2006. Do alliances promote knowledge flows? Journal of Financial Economics 80 (1): 5–33.
Hoetker, G., and R. Agarwal. 2007. Death hurts, but it isn’t fatal: the postexit diffusion of knowledge created by innovative companies. Academy of Management Journal 50: 446–467.
Ahujia, G., and R. Katila. 2001. Technological acquisitions and the innovation performance of acquiring firms: a longitudinal study. Strategic Management Journal 22 (3): 197–220.
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Chen, S. (2022). Research on the Differential Incentive Effect of Patent Pool on Specific Technology Learning. In: Wang, T., Patnaik, S., Ip, A.W., Tavana, M. (eds) Advances in Decision Science and Management. ICDSM 2021. Advances in Intelligent Systems and Computing, vol 1391. Springer, Singapore. https://doi.org/10.1007/978-981-16-2502-2_15
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DOI: https://doi.org/10.1007/978-981-16-2502-2_15
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