ArticleHeliyon2023
Effect of servitization on performance in manufacturing firms: A mediating effect model of digitalisation moderated by ESG performance.
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, 1 of them a synthesis that pooled 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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Exploring the landscape of digital servitization: A systematic review.F1000Research · 2024Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Servitization and digitalisation are current trends in high-quality sustainable development in manufacturing firms. To clarify how manufacturing companies can improve their environmental, social, and governance (ESG) performance through servitization and digitalisation, this study develops a moderated mediating effects model for analysis and further investigates corporate heterogeneity. This study uses the CSMAR and WIND databases and official website of the National Bureau of Statistics of China to obtain relevant data from 2013 to 2020. Python software was used to crawl corporate annual report data from the CNINFO Website for collation and analysis, obtaining a total of 1261 companies with 9379 sample values. The findings are as follows: (i) Servitization of manufacturing enterprises can significantly enhance their performance. (ii) The service-oriented transformation of manufacturing enterprises can significantly enhance their performance through digitalisation. In contrast to the capabilities of the practical application of digital technology, digital transformation primarily manifests itself as the capability of digital underpinning technology and the practical application of digital technology. (iii) The ESG performance of companies can positively regulate the promotion of service-oriented manufacturing enterprises towards digital transformation, as well as directly foster the development of digital transformation in the manufacturing industry. When examining the individual components of ESG performance, environmental and social performance have a positive effect on regulating the promotion of service-oriented manufacturing towards digital transformation and directly driving the digital transformation of manufacturing companies. However, the governance performance does not have a significant effect. Additionally, environmental performance can restrain the positive effect of digital transformation on performance in manufacturing companies. (iv) Manufacturing companies in the eastern part of the country are improving their performance mainly by promoting digitisation, whereas those in the central and western regions are improving their profitability mainly through servitization. This study reveals the mechanism of ESG performance and the role of servitization and digitalisation of manufacturing companies on performance and suggests new paths for the development of corporate sustainability strategies.
Indexed as
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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.