Research on digital intelligence business model based on artificial intelligence in post-epidemic era
ISSN: 0025-1747
Article publication date: 9 June 2023
Issue publication date: 5 September 2024
Abstract
Purpose
The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.
Design/methodology/approach
This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.
Findings
The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.
Originality/value
The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.
Keywords
Acknowledgements
Funding statement: The authors acknowledge financial support from the National Natural Science Foundation of China (Grant No. 72103221). The authors declare that they have no relevant or material financial interests that relate to the research described in this paper.
Author contributions: Yue Deng and Zeyu Wang are Co-Corresponding Authors.Bo Lv and Zeyu Wang. Conceptualization, Bo Lv and Yue Deng; Methodology, Zeyu Wang and Wei Meng; Software, Zeyu Wang and Yue Deng; Validation, Zeyu Wang and Wei Meng; Formal Analysis, Bo Lv and Wei Meng; Investigation, Zeyu Wang and Yue Deng; Resources, Zeyu Wang and Zeyu Wang; Data Curation, Bo Lv and Yue Deng; Writing – Original Draft Preparation, Zeyu Wang and Yue Deng; Writing – Review and Editing, Bo Lv, Tingting Tang and Wei Meng; Visualization, Wei Meng; Supervision, Bo Lv and Wei Meng; Project Administration, Bo Lv and Zeyu Wang; Funding Acquisition, Zeyu Wang and Bo Lv.
Data availability statement: The data used to support the findings of this study are included within the article.
Conflicts of Interest: The authors declare that they have no competing interest.
Expression of concern: The publisher of Management Decision is issuing an Expression of Concern for the following article “Lv, B., Deng, Y., Meng, W., Wang, Z. and Tang, T. (2023), “Research on digital intelligence business model based on artificial intelligence in post-epidemic era”, Management Decision, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/MD-11-2022-1548”, which was submitted to the guest-edited special issue ‘Navigating the role of circular economy in entrepreneurship: Opportunities and challenges’. An investigation by the publisher found a number of articles with multiple concerns, including but not limited to compromised editorial handling and reviewing, undisclosed conflicts of interest, and lack of suitability for the scope of the journal. As a result of these concerns and as trust in the content is central to the integrity of the publication process, the Editor-in-Chief and publisher have taken the decision to publish an Expression of Concern for all articles within this special issue. The authors of this article would like to note that they do not agree with the content of this notice. The journal has not been able to confirm whether the authors were aware of these concerns. An investigation is ongoing and is currently unresolved. Further information will be provided by Management Decision as it becomes available.
Citation
Lv, B., Deng, Y., Meng, W., Wang, Z. and Tang, T. (2024), "Research on digital intelligence business model based on artificial intelligence in post-epidemic era", Management Decision, Vol. 62 No. 9, pp. 2937-2957. https://doi.org/10.1108/MD-11-2022-1548
Publisher
:Emerald Publishing Limited
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