Abstract
This paper examined the relationship between knowledge leadership and R&D team’s big data application ability with testing the mediating role of artificial intelligence (AI) technology adoption, and took 113 R&D teams as study samples from 42 Guangzhou enterprises. The structural equation modeling (SEM) test results found that (1) supervisor’s knowledge leadership can help R&D team adopting AI technology, improve big data application ability including big data decision-making ability and big data control ability directly; (2) AI technology adoption can improve R&D team’s big data application ability including big data decision-making ability and big data control ability directly, and mediates the relationship between supervisor’s knowledge leadership and R&D team’s big data application ability including big data decision-making ability and big data control ability significantly.
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References
Gregory, V.: Understanding digital transformation: a review and a research agenda. J. Strat. Inf. Syst. 28(2), 118–144 (2019)
Xu, X.C., Zhang, M.H.: Research on the measurement and calculation of China’s digital economy-based on the perspective of international comparison. China Ind. Econ. 5, 23–41 (2000)
Tao, X.L., Liu, S., Zhong, Y.R., et al.: The co-evolution of big data application and enterprise open innovation-a comparative case study based on grounded theory. Sci. Technol. Prog. Countermeasures 38(5), 69–78 (2021)
Bharadwaj, A., Sawy, O., Pavlou, P.A., et al.: Digital business strategy: toward a next generation of insights. MIS Q. 37(2), 471–482 (2013)
Wamba, S.F., Akter, S., Edwards, A., et al.: How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study. Int. J. Prod. Econ. 165, 234–246 (2015)
Xu, F., Tian, M., Xu, G.H.: Research on the impact of big data application ability on enterprise innovation performance-the intermediary effect of supply chain collaboration and the moderating effect of strategic matching. Macroecon. Res. 3, 101–119 (2020)
Skyrme, D.: Developing a Knowledge Strategy: From Management to Leadership. MIT Press, Cambridge (2000)
Vitala, R.: Towards knowledge leadership. Leadersh. Org. Dev. J. 25(6), 528–544 (2004)
Yang, Y., You, D.M.: Measuring and testing the content structure of enterprise knowledge leadership. Stat. Decis. Mak. 22, 84–87 (2013)
Zhou, J.M., Chen, M., Liu, Y.F.: Analysis on the relationship between knowledge leadership, team knowledge sharing and product innovation performance. Enterp. Econ. 9, 120–125 (2015)
Kaplan, A., Haenlein, M.: Siri, Siri, in my hand: who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Bus. Horiz. 62(1), 15–25 (2019)
Cheung, C.M.K., Lee, M.K.O., Rabjohn, N.: The impact of electronic word-of-mouth- the adoption of online opinions in online customer communities. Internet Res. 18(3), 229–247 (2008)
Li, Y.P., Tao, N.N.: Multi-level dynamic impact model of employee artificial intelligence technology adoption: a literature review. China Hum. Resour. Dev. 39(1), 35–56 (2022)
Xu, Y.J., Wang, P.: Does big data mean big wisdom also on ‘Green Artificial Intelligence’ as a new direction of information technology development. Acad. Res. 10, 28–35 (2016)
Baron, R.M., Kenny, D.A.: The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol. 51(6), 1173–1182 (1986)
Yang, Yi., You, D.M.: Measurement and inspection of enterprise knowledge leadership content structure. Stat. Decis. 22, 86–89 (2013)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Chen, M., Zhou, J.M.: The impact of enterprise culture and knowledge integration mechanism on knowledge transfer performance among enterprises. Stud. Sci. Sci. 4, 102–109 (2009)
Hayes, A.F.: An Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-Based Approach. Guilford Press, New York (2013)
Acknowledgments
This work was supported by Guangdong Soft Science Project (Grant No. 2020A1010020045), Innovative Team Project of Guangdong Universities (Grant No. 2019WCXTD008), Guangzhou Science & Technology Plan Project (Grant No. 202102080243), and Guangdong Provincial Philosophy and Social Science Project (Grant No. GD23YGL10).
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Zhu, S., He, P., Zhou, J., Zhang, P. (2023). Knowledge Leadership, AI Technology Adoption and Big Data Application Ability. In: Jin, Z., Jiang, Y., Buchmann, R.A., Bi, Y., Ghiran, AM., Ma, W. (eds) Knowledge Science, Engineering and Management. KSEM 2023. Lecture Notes in Computer Science(), vol 14120. Springer, Cham. https://doi.org/10.1007/978-3-031-40292-0_36
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DOI: https://doi.org/10.1007/978-3-031-40292-0_36
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