Evidence map›Paper›PMID 39108861›Full record

ArticleHeliyon2024

Evaluation of the value of Internet platform Enterprises in the digital economy by the big data cooperation asset valuation model.

Huijun Gao, Jianfang Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

2 authors.

Huijun GaoBusiness school, Nantong Institute of Technology, Nantong, 226000, Jiangsu, China.
Jianfang ZhangBusiness school, Nantong Institute of Technology, Nantong, 226000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the innovation of information technology, the national industry has been adjusted and upgraded, and the development of the Internet industry has had a huge impact on economic development. The investment and financing of network enterprises and the merger and acquisition of network companies need to evaluate the value of network companies. In this regard, this paper evaluated the value of Internet platform enterprises under the digital economy based on the Big Data (BD) cooperation asset valuation model. This paper analyzed the factors affecting the value evaluation of Internet enterprises and discussed the advantages of BD cooperative asset valuation model in the value evaluation of Internet enterprises in the digital economy. The BD cooperation asset valuation model was constructed, and the value evaluation experiment of Internet platform enterprises under the digital economy was carried out. The experimental results of this paper showed that in the evaluation of the profitability value of Internet enterprises, the difference between the net sales interest rate was 0.14%-0.51 %. The difference between the net interest rate of equity was 0.09%-0.67 %, and the difference between the net interest rate of total assets was 0.19%-0.92 %; in terms of the evaluation of the operating capacity of Internet enterprises, the difference between the current asset turnover rate was 0.05-0.16. The difference of non-current asset turnover rate was 0.02-0.15, and the difference of total asset turnover rate was 0.01-0.16. The evaluation value based on the BD cooperation asset valuation model was not different from the actual enterprise value, which showed that the BD cooperation asset valuation model had good advantages in the evaluation of the value of Internet enterprises.

Indexed as

Asset valuationBig dataDigital economyEnterprise value

Identifiers

PMID39108861
PMCPMC11301191

What OpenQuestion holds

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Registered trials

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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.