Evidence map›Paper›PMID 35735374›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Is Heterogeneity Better? The Impact of Top Management Team Characteristics on Enterprise Innovation Performance.

Haihong Wang, Wenjun He, Yufan Yang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Haihong WangDepartment of Tourism Management, School of Business, Liaoning University, Shenyang 110036, China.
Wenjun HeDepartment of Marketing and Tourism Management, School of Economics and Management, Wuhan University, Wuhan 430072, China.
Yufan YangSchool of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China.

Funding

the National Social Science Foundation of China No. 18BGL159
6 · The paper itself

Abstract

Although the importance of the top management team's characteristics has attracted research attention, its influence remains undetermined. This paper considers the influence of top management team characteristics' heterogeneity on GEM-listed enterprises' innovation performance. From the perspective of optimizing top management team human capital and improving enterprise innovation performance, this study analyzes 634 GEM-listed enterprises via regression analysis. The results show that the effect of shallow-factor heterogeneity of the top management team on enterprise innovation performance is not significant, but deep-factor heterogeneity has a negative effect. These findings indicate that deep-factor heterogeneity is more important than shallow-factor heterogeneity and is subject to closer attention. If a GEM-listed enterprise wants to set up a strong top management team that contributes to the improvement of enterprise innovation performance, it must examine the consistency of each member's educational background and extend their tenure as long as possible without considering the gender ratio or age structure of the team.

Indexed as

deep-factor heterogeneityenterprise innovation performanceGEM-listed enterpriseshallow-factor heterogeneitytop management team characteristics heterogeneity

Identifiers

PMID35735374
PMCPMC9220677

What OpenQuestion holds

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LicenceCC BY
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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.