Evidence map›Paper›PMID 36312089›Full record

ArticleFrontiers in psychology2022

Re-discussion of servitization strategy and firm performance.

Kang Li, Jinfeng Wang, Lijie Feng, Lei Zhu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. 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. Review
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

4 authors.

Kang LiInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.
Jinfeng WangChina Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China.
Lijie FengChina Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China.
Lei ZhuSchool of Economics and Management, Shanghai Maritime University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Servitization innovation is critical for manufacturing firms to strengthen their sustainable competitive advantage in a dynamic business environment. Current research on the relationship between servitization and firm performance has matured, but many conclusion remain divergent. That cannot only hinder the development of servitization theory, but also make manufacturers lack a scientific basis for deciding whether to develop servitization. Thus, this study aims to systematically analyze the quantitative research results in this field through Meta-analysis methods to reveal the reasons for the disagreement. After collecting 59 independent articles on servitization and firm performance, this study performed statistical analysis using Meta-analysis. Then, the relationship between servitization and firm performance was explored, as well as the effects of different potential moderating variables. The moderate positive relationship between servitization strategies and their different orientations and firm performance is found. For the moderating variables, the servitization strategy has a more significant effect on non-financial performance. And they are more correlated when there are mediator variables. The impact of firm servitization transformation in developing regions is better than in developed areas. A stable market environment is more beneficial to the servitization transformation. The transformation effect of high-tech manufacturing is better than that of traditional manufacturing. And the transformation effect of large companies is better than that of small and medium-sized companies.

Indexed as

manufacturing firm performancemeta-analysismoderator variableservitization paradoxservitization strategy

Identifiers

PMID36312089
PMCPMC9606808

What OpenQuestion holds

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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.