Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Digital Innovation and Business Models Empirical Research Based on Text Mining of Annual Reports of 280 Listed Companies

Authors
Simin Zeng1, Weihong Xie1, Tiepeng Peng2, *, Haorui Cheng3
1School of Economics and Commerce, Guangdong University of Technology, Guangdong Manufacturing Big Data Innovation Research Center, Guangdong Provincial Key Think Tank, Guangzhou, China
2General Committee Office, Guangdong University of Technology, GDUT Guangzhou, China
3School of Economics and Commerce, Guangdong University of Technology, Digital Economy and Data Governance Laboratory, Guangdong Provincial Key Laboratory of Philosophy and Social Sciences , Guangzhou, China
*Corresponding author. Email: 121723788@qq.com
Corresponding Author
Tiepeng Peng
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_200How to use a DOI?
Keywords
digital innovation; business model; text mining; empirical research
Abstract

The era of the digital economy has promoted a new round of globalization driven by digital technology, and digital innovation will affect the business model of enterprises in all aspects. This paper uses computer language technology to mine the annual report texts of 280 listed companies in the information transmission, software and information technology service industries in Shenzhen and Shanghai, and conducts an empirical analysis of the association rule Apriori algorithm for digital innovation and business models. Two indicators, descriptive digital innovation and true digital innovation, are used to comprehensively evaluate the level of digital innovation of enterprises. It also portrays the business model of the enterprise from three dimensions: value creation, value transmission and value realization. The empirical results show that: digital innovation is an important factor of the business model; the value creation of the business model is significantly negatively correlated with the digital innovation; the value transmission and value realization of the business model is significantly positively correlated with the digital innovation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_200How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Simin Zeng
AU  - Weihong Xie
AU  - Tiepeng Peng
AU  - Haorui Cheng
PY  - 2022
DA  - 2022/12/29
TI  - Digital Innovation and Business Models Empirical Research Based on Text Mining of Annual Reports of 280 Listed Companies
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1375
EP  - 1380
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_200
DO  - 10.2991/978-94-6463-042-8_200
ID  - Zeng2022
ER  -