ArticleHeliyon2023
A behavioral model of service-derived manufacturing in e-commerce companies from the innovation chain perspective: A case study from China.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed, 7 citations in OpenAlex.
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the business landscape has been reshaped by the fusion of manufacturing and service industries, driven by the "Internet+" initiative and the integration efforts of the Chinese government. This research focuses on the behavior model of service-derived manufacturing within e-commerce enterprises, specifically emphasizing a well-known Chinese enterprise. The study used a case study approach to analyze the manufacturing transformation process. It also reveals insights into the "reverse penetration" model e-commerce service firms adopt. This study aims to help industry practitioners, policymakers, and researchers understand how digital transformation and innovation can enhance manufacturing excellence within e-commerce enterprises. One key aspect examined is the role of e-commerce platforms in connecting manufacturers with consumers, optimizing production through big data analysis, reducing costs, and improving service integration.
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What OpenQuestion holds
Registered trials
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.