Evidence map›Paper›PMID 37366734›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

The Effect of Follower Identity on Followership: The Mediating Role of Self-Efficacy.

Weixi Zeng, Zheming Xu, Lixia Zhao

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weixi ZengYangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China.
Zheming XuSchool of Public Administration, University of Electronic Science and Technology of China, Chengdu 611731, China.
Lixia ZhaoSchool of Public Administration, University of Electronic Science and Technology of China, Chengdu 611731, China.

Funding

Chengdu Philosophy and Social Science Plan Project 2022CS077
6 · The paper itself

Abstract

Followership is as crucial as leadership for organizational success. Significant efforts have been made by numerous researchers to examine how leadership influences followership; however, not enough attention has been paid to the influence of internal factors of followers on followership from the followers' perspective. This study relies on identity theory to understand the relationship between the influence of followers' perceived self-following traits (FTP) and followership prototype (FP) on followership, and the mediation role of self-efficacy in the relationship between FTP-FP consistency and followership. In order to avoid common method bias and ensure good discriminant validity of the variables, a two-wave time-lagged data collection design was used to collect 276 valid questionnaires from front-line business staff and junior supervisors in private and public sector organizations of China. Polynomial regression and response surface analysis were used to investigate the effect of FTP-FP consistency on followership. The empirical findings indicated that (1) the more consistent FTP-FP, the stronger the followership; (2) compared to the 'low FTP-low FP', employees with 'high FTP-high FP' had stronger followership; (3) employees with 'high FTP-low FP' had stronger followership than 'low FTP-high FP'; (4) self-efficacy played a mediating role between FTP-FP consistency and followership. These findings contribute to management practice by revealing antecedents to followership from the perspective follower identity and the effect of follower identity on followership.

Indexed as

follower identityfollowershipfollowership prototypesself-efficacy

Identifiers

PMID37366734
PMCPMC10295024

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.