Application Analysis of Big Data in Innovation Management in Enterprises

Jinhan Guo, Yuan Ma, Yuyuan Yang

2022

Abstract

Under the background of big data, the rapid integration of domestic and foreign markets has provided new opportunities for enterprises, but also brought some problems. Under such circumstances, enterprises are facing the elimination of the market, and they need to improve their competitiveness, do a good job in the structural adjustment and management innovation of the enterprise, improve the management ability of the enterprise, solve the problems in the development of the enterprise, and realize the sustainable development of the enterprise. Meet future challenges. According to the concept and relationship between big data and innovation management, through the mode and strategy of innovation management, this paper analyzes the development trend of innovation management in the era of big data, and solves the problem of innovation management of enterprises.

Paper Citation

in Harvard Style

Guo J., Ma Y. and Yang Y. (2022). Application Analysis of Big Data in Innovation Management in Enterprises. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 361-365. DOI: 10.5220/0012033100003620

in Bibtex Style

@conference{icemme22,
author={Jinhan Guo and Yuan Ma and Yuyuan Yang},
title={Application Analysis of Big Data in Innovation Management in Enterprises},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={361-365},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012033100003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Application Analysis of Big Data in Innovation Management in Enterprises
SN - 978-989-758-636-1
AU - Guo J.
AU - Ma Y.
AU - Yang Y.
PY - 2022
SP - 361
EP - 365
DO - 10.5220/0012033100003620
PB - SciTePress