This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Research
Hongwei Shi
Jiangsu University
Corresponding Author
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Small and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of have great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance (BP) 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.
Keywords
Technological innovation, Business model design, Business performance, Enterprise size, Artificial intelligence
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CURRENT STATUS: Under Review
Version 1
Posted 17 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 22 Mar, 2021
Review #1 received
Received 20 Mar, 2021
Review #2 received
Received 17 Mar, 2021
Reviewer #3 agreed
On 14 Mar, 2021
Reviewer #2 agreed
On 12 Mar, 2021
Reviewers invited
Invitations sent on 12 Mar, 2021
Reviewer #1 agreed
On 12 Mar, 2021
Review #? received
Received 12 Mar, 2021
Editor assigned
On 03 Mar, 2021
First submitted
On 03 Mar, 2021
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On 03 Mar, 2021
Editor invited
On 03 Mar, 2021
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This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Hongwei Shi
Jiangsu University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 17 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 22 Mar, 2021
Review #1 received
Received 20 Mar, 2021
Review #2 received
Received 17 Mar, 2021
Reviewer #3 agreed
On 14 Mar, 2021
Reviewer #2 agreed
On 12 Mar, 2021
Reviewers invited
Invitations sent on 12 Mar, 2021
Reviewer #1 agreed
On 12 Mar, 2021
Review #? received
Received 12 Mar, 2021
Editor assigned
On 03 Mar, 2021
First submitted
On 03 Mar, 2021
Submission checks complete
On 03 Mar, 2021
Editor invited
On 03 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Small and medium-sized enterprises (SEMs) are the important part of economic society whose innovation activities are of have great significance for building innovative country. In order to investigate how technological innovation (TI) and business model design (BMD) affect the business performance (BP) 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.
Figure 1
Figure 2
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