Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on the relationship between scientific and technological innovation and corporate social responsibility

Download as PDF

DOI: 10.23977/ferm.2024.070116 | Downloads: 4 | Views: 188


Zhenglong Guo 1


1 China Tianjin City Small to Medium Size Enterprise Economic Development Association, 300041, Tianjin, China

Corresponding Author

Zhenglong Guo


Scientific and technological innovation plays an important role in contemporary society, and it also poses new challenges to the social responsibility of enterprises [1]. This paper aims to study the relationship between technological innovation and corporate social responsibility, and to explore how to fulfill corporate social responsibility while promoting technological innovation. Scientific and technological innovation has brought more opportunities and challenges to enterprises [2]. By introducing new technologies and innovative products, companies can improve efficiency, reduce costs and meet the changing needs of consumers. However, technological innovation may also bring some negative effects, such as layoffs and environmental pollution. Therefore, enterprises need to fully consider their social responsibility when carrying out scientific and technological innovation. scientific and technological innovation and corporate social responsibility are inseparable. Enterprises should be aware of the opportunities and challenges brought about by scientific and technological innovation and actively fulfill their social responsibilities [3]. The government should strengthen supervision and guidance, promote enterprises to assume more social responsibility in scientific and technological innovation, and jointly promote the sustainable development of society.


Technological innovation, Corporate responsibility, social responsibility, relationship


Zhenglong Guo, Research on the relationship between scientific and technological innovation and corporate social responsibility. Financial Engineering and Risk Management (2024) Vol. 7: 107-113. DOI:


[1] Tapscott D. (2016) The digital economy: Promise and peril in the age of network and intelligence. New York. Me Graw-Hill.
[2] Wang X. (2023) A study on the impact of demographic change on the digital economy. Economic System Reform, 0443-0451.
[3] Zhang Y, Pang X, Liu Y et al. (2022) Research on factors influencing the development level of China's inter.provincial digitaleconomy, Business and Economic Research, 22, 185-189.
[4] Jia, Y., Gao, X. and Billings, B.A., (2022). Corporate social responsibility and technological innovation. Journal of Management Accounting Research, 34(1), pp. 163-186.
[5] Lee, H. and Lee, K., (2021). The effects of technology innovation activity on CSR: Emphasizing the nonlinear and heterogenous effects. Sustainability, 13(19), p. 10893.
[6] Koellinger, P., (2008). The relationship between technology, innovation, and firm performance—Empirical evidence from e-business in Europe. Research policy, 37(8), pp. 1317-1328.
[7] Tai, F.M. and Chuang, S.H., (2014). Corporate social responsibility. I business, 6(03), p. 117.
[8] Manheim, K. and Kaplan, L., 2019. Artificial intelligence: Risks to privacy and democracy. Yale JL & Tech., 21, p.106.
[9] Scherer, M.U., (2015). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harv. JL & Tech., 29, p. 353.
[10] Müller, V.C., (2014). Risks of general artificial intelligence. Journal of Experimental & Theoretical Artificial Intelligence, 26(3), pp. 297-301.
[11] Ragin, C.C., Fiss, P.C. (2019). Net Efects Analysis Versus Configurational Anabysis. An Empirical DemonstrationS. 190-212
[12] KrausS, RibeiroSD, Schussler M, (2017) Fuzzy-Set Qualitative Comparative Analysis (fsOCA) in Entrepreneurship and lnnovation Research: The Rise ofa Method. Interational Entrepreneurship and Management Journal. 14 (1).15-33.
[13] Luo X, Wang S. (202 1) Digital Economy, Emplovment and Labour Income Growth - An Empirical Anabysis Baseaon China Family Tracking Survey (CFPS) Data. Jianghan Forum, 11, 5-14
[14] Lin O, Liu X. (2022) Research on the Impact Path of Digital Economy- A Qualitative Study Based on fsOCA Fuzzy Set, Finance and Accounting Newsletter, 12, 87-91.
[15] Fiss, P. C. (2011). Building better causal theories: A fizzy set approach to typologies in organization research Academy of Management. Journal, 54(2).393-420.

Downloads: 18413
Visits: 353789

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.