Evidence map›Paper›PMID 33299363›Full record

ArticlePsychology research and behavior management2020

How Inclusive Leadership Enhances Follower Taking Charge: The Mediating Role of Affective Commitment and the Moderating Role of Traditionality.

Qiao Wang, Jianmin Wang, Xiaohu Zhou, Fangyuan Li, Mengze Wang

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Article in Psychology research and behavior management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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3 · Its place in the literature

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14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qiao WangSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of China.
Jianmin WangCollege of Public Management, Guizhou University of Finance and Economics, Guiyang, People's Republic of China.
Xiaohu ZhouSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of China.
Fangyuan LiSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of China.
Mengze WangSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeaders try to stimulate follower taking charge to promote organizational change and effectiveness in current increasingly complex and changing environment. Based on social identity theory, we developed a mediated moderation model in which affective commitment was theorized as a mediating mechanism underlining why followers feel motivated to taking charge with the supervision of inclusive leadership. Furthermore, traditionality should be a relevant boundary condition to moderate such a relationship in China.

methodsThere was three times lagged research conducted at the city of Shanghai, Shenzhen, and Nanjing. A series of valid questionnaires were accomplished by 246 participants, including the inclusive leadership, affective commitment, traditionality, and follower taking charge. Our model adopted hierarchical regression analysis to explore hypothesis.

resultsInclusive leadership is positively related to affective commitment (β= 0.589, p < 0.001). Affective commitment was positively related to follower taking charge (β= 0.165, p < 0.01). Affective commitment mediates the relationship between inclusive leadership and taking charge with 95% bias-corrected confidence intervals [0.068, 0.233]. Interactive effect of affective commitment and traditionality on follower taking charge was also significant (β=-0.189, p <0.001), and the effect of affective commitment on follower taking charge was more pronounced and positive with low (b = 0.361, p <0.001) rather than high (b =0.172, ns.) level of affective commitment. Moreover, the indirect effect of inclusive leadership on taking charge through affective commitment was significant when traditionality was low (b = 0.270, 95% CI = [0.179, 0.371]), the indirect effect became insignificant with high traditionality (b = 0.046, 95% CI = [-0.034, 0.123]).

conclusionOur study shows that affective commitment mediates the relationship between inclusive leadership and follower taking charge. Moreover, the influence of affective commitment on follower taking charge was moderated by traditionality. Affective commitment was positively associated with taking charge only for followers with low traditionality. Additionally, the mediated moderation relationship between inclusive leadership and follower taking charge via affective commitment was stronger under low traditionality.

Indexed as

affective commitmentfollower taking chargeinclusive leadershipsocial identity theorytraditionality

Identifiers

PMID33299363
PMCPMC7720287

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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.