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Research on enterprise business model and technology innovation based on artificial intelligence
Small- and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance of SM...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254430/ https://www.ncbi.nlm.nih.gov/pubmed/34249123 http://dx.doi.org/10.1186/s13638-021-02025-y |
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author | Qu, Sunping Shi, Hongwei Zhao, Huanhuan Yu, Lin Yu, Yunbo |
author_facet | Qu, Sunping Shi, Hongwei Zhao, Huanhuan Yu, Lin Yu, Yunbo |
author_sort | Qu, Sunping |
collection | PubMed |
description | Small- and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance of SMEs, samples of 268 SMEs in the artificial intelligence industry and hierarchical regression models are used in the analysis. The results indicate that TI, BMD, and the matching of them have different effects on the innovation of SMEs of different sizes. These findings are helpful for enriching the theory of the fit between TI and BMD and providing theoretical guidance for the innovation activities in SEMs. |
format | Online Article Text |
id | pubmed-8254430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82544302021-07-06 Research on enterprise business model and technology innovation based on artificial intelligence Qu, Sunping Shi, Hongwei Zhao, Huanhuan Yu, Lin Yu, Yunbo EURASIP J Wirel Commun Netw Research Small- and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance of SMEs, samples of 268 SMEs in the artificial intelligence industry and hierarchical regression models are used in the analysis. The results indicate that TI, BMD, and the matching of them have different effects on the innovation of SMEs of different sizes. These findings are helpful for enriching the theory of the fit between TI and BMD and providing theoretical guidance for the innovation activities in SEMs. Springer International Publishing 2021-07-03 2021 /pmc/articles/PMC8254430/ /pubmed/34249123 http://dx.doi.org/10.1186/s13638-021-02025-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Qu, Sunping Shi, Hongwei Zhao, Huanhuan Yu, Lin Yu, Yunbo Research on enterprise business model and technology innovation based on artificial intelligence |
title | Research on enterprise business model and technology innovation based on artificial intelligence |
title_full | Research on enterprise business model and technology innovation based on artificial intelligence |
title_fullStr | Research on enterprise business model and technology innovation based on artificial intelligence |
title_full_unstemmed | Research on enterprise business model and technology innovation based on artificial intelligence |
title_short | Research on enterprise business model and technology innovation based on artificial intelligence |
title_sort | research on enterprise business model and technology innovation based on artificial intelligence |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8254430/ https://www.ncbi.nlm.nih.gov/pubmed/34249123 http://dx.doi.org/10.1186/s13638-021-02025-y |
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