Evidence map›Paper›PMID 34249123›Full record

ArticleEURASIP journal on wireless communications and networking2021

Research on enterprise business model and technology innovation based on artificial intelligence.

Sunping Qu, Hongwei Shi, Huanhuan Zhao, Lin Yu, Yunbo Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EURASIP journal on wireless communications and networking, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sunping QuSchool of Management, JiangSu University, Zhenjiang, 212013 China.
Hongwei ShiSchool of Management, JiangSu University, Zhenjiang, 212013 China.
Huanhuan ZhaoCollege of Management, Wuxi Institute of Technology, Wuxi, 214121 China.
Lin YuCollege of Management, Wuxi Institute of Technology, Wuxi, 214121 China.
Yunbo YuCollege of Management, Wuxi Institute of Technology, Wuxi, 214121 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Artificial intelligenceBusiness model designBusiness performanceEnterprise sizeTechnological innovation

Identifiers

PMID34249123
PMCPMC8254430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.