Abstract
Through analyzing the relationship among innovation network characteristics, enterprise absorptive capacity and relationship learning, this study constructs a theoretical model about the impact of enterprise innovation network characteristics on relationship learning, and further introduces absorptive capacity as a mediating variable to discuss the mechanism among them. Based on a sample data of 205 questionnaires, the empirical results show that the relationship strength and relationship quality of enterprise innovation network characteristics have positive impact on relationship learning. Three dimensions of absorptive capacity, namely, knowledge acquisition capacity, knowledge digestion capacity and knowledge application capacity, have positive effects on relationship learning. Among the characteristics of enterprise innovation network, network size, network centrality and relationship quality have positive influence on absorptive capacity of enterprises. Knowledge acquisition capacity, knowledge digestion capacity and knowledge application capacity play a partial mediating role in the influence of relationship strength and relationship quality on relationship learning.
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References
Chang, M.L., Cheng, C.F., Wu, W.Y.: How buyer-seller relationship quality influences adaptation and innovation by foreign MNCs’ subsidiaries. Ind. Mark. Manag. 41(7), 1047–1057 (2012)
Chesbrough, H.W.: Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business Press, Brighton (2003)
Cohen, W.M., Levinthal, D.A.: Absorptive capacity: a new perspective on learning and innovation. Adm. Sci. Q. 35(1), 128–152 (1990)
Dhanaraj, C., Lyles, M.A., et al.: Managing tacit and explicit knowledge transfer in IJVs: the role of relational embeddedness and the impact on performance. J. Int. Bus. Stud. 35(5), 428–442 (2004)
Dyer, J.H., Singh, H.: The relational view: cooperative strategy and sources of interorganizational competitive advantage. Acad. Manag. Rev. 23(4), 660–679 (1998)
Frazier, B.J., Huddleston, P.: The role of market embeddedness in market scanning and marketing competence. J. Small Bus. Entrep. 22(2), 165–180 (2009)
Hongbin, D., Zhengbin, W.: An empirical study on the network structure’s impact to the firm growth performance: the intermediary role of exploitative learning and explorative learning. Nankai Bus. Rev. 14(3), 15–25 (2011). (in Chinese)
Ibarra, H.: Network centrality, power, and innovation involvement: determinants of technical and administrative roles. Acad. Manag. J. 36(3), 471–501 (1993)
Jansen, J.J., Van Den Bosch, F.A., Volberda, H.W.: Managing potential and realized absorptive capacity: how do organizational antecedents matter? Acad. Manag. J. 48(6), 999–1015 (2005)
Lai, C.S., Pai, D.C., et al.: The effects of market orientation on relationship learning and relationship performance in industrial marketing: the dyadic perspectives. Ind. Mark. Manag. 38(2), 166–172 (2009)
Lavie, D.: Alliance portfolios and firm performance: a study of value creation and appropriation in the US software industry. Strat. Manag. J. 28(12), 1187–1212 (2007)
Lenox, M., King, A.: Prospects for developing absorptive capacity through internal information provision. Strat. Manag. J. 25(4), 331–345 (2004)
Liu, C.L.: An investigation of relationship learning in cross-border buyer-supplier relationships: the role of trust. Int. Bus. Rev. 21(3), 311–327 (2012)
Lyles, M.A., Salk, J.E.: Knowledge acquisition from foreign parents in international joint ventures: an empirical examination in the Hungarian context. J. Int. Bus. Stud. 27(5), 877–903 (1996)
Madani, F., Daim, T., Weng, C.: ‘Smart building’ technology network analysis: applying core-periphery structure analysis. Int. J. Manag. Sci. Eng. Manag. 12(1), 1–11 (2017)
Nan, G., Wei, J., Hu, H.: Analysis of the multi-agent’s relationship in collaborative innovation network for science and technology SEMs based on evolutionary game theory. Int. J. Inf. Tchnology Manag. 18(1), 1–15 (2019)
Nasierowski, W., Arcelus, F.J.: Interrelationships among the elements of national innovation systems: a statistical evaluation. Eur. J. Oper. Res. 119(2), 235–253 (1999)
Rampersad, G., Quester, P., Troshani, I.: Developing and evaluating scales to assess innovation networks. Int. J. Technol. Intell. Plan. 5(4), 402–420 (2009)
Ren, S., Wu, J., Wang, L.W.: A study on network embeddedness and enterprise’s innovation performance: test of the moderating effect of network competence. R&D Manag. 23, 16–24 (2011). (in chinese)
Selnes, F., Sallis, J.: Promoting relationship learning. J. Mark. 67(3), 80–95 (2003)
Sun, Y., Wang, T., Gu, X.: A sustainable development perspective on cooperative culture, knowledge flow, and innovation network governance performance. Sustainability 11(21), 6126 (2019)
Uzzi, B.: Social structure and competition in interfirm networks: the paradox of embeddedness. Adm. Sci. Q. 42(1), 35–67 (1997)
Vera, D., Crossan, M.: Strategic leadership and organizational learning. Acad. Manag. Rev. 29(2), 222–240 (2004)
Wang, H., Zhao, Y., et al.: Network centrality and innovation performance: the role of formal and informal institutions in emerging economies. J. Bus. Ind. Mark. 34(6), 1388–1400 (2019)
Ye, Z., Zheng, J.: Network characteristics and corporate entrepreneurship of cluster enterprises: an empirical study based on entrepreneurial competence. Sci. Res. Manag. 35(1), 58–65 (2014). (in Chinese)
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This work was supported by National Natural Science Foundation of China [grant number 71904137] and Ministry of Education of the People’s Republic of China [grant number 18YJC630227].
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Yang, X., Wang, H., Gu, X. (2021). Impact of Enterprise Innovation Network Characteristics on Relationship Learning: Mediating Effect of Absorptive Capacity. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_53
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