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Absolving Conflict Through Principles of Servant-Leadership

Stoddard, Brandon·2023·International Journal of Servant-Leadership

Abstract

This article explores the inevitable and unchecked conflicts that arise between people and how it can turn into unmanageable rage and harmed relationships. Both instigators and recipients of conflict are ultimately wounded by its accompanying outcomes. By sharing several examples from my life, including the threat of harm from a deadly weapon towards my three-year-old son by his uncle, I demonstrate the hurt caused by conflict and how principles of servant-leaders can help individuals restore positive associations. When faith is stronger than the bitterness and hostility that often plagues humanity, love offers a longer-term perspective thereby opening a way towards forgiveness. The foundation of healthy relationships and a strong community is established by serving one another rather than focusing on one’s own self-interests. By implementing ten characteristics of servant-leadership including awareness, listening, empathy, and healing, I contend that people can transcend conflict and overcome relational obstacles. This in turn allows people to exhibit a greater capacity for love and forgiveness for the optimal well-being of one another and society at large.

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Metadata

Authors
Stoddard, B.
Affiliations
None
Venue
International Journal of Servant-Leadership
Published
2023-12-16
Volume
17
Issue
1
ISSN
2160-8172
Cited by
0
References
0

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CoChat. (2026). Citation check: Absolving Conflict Through Principles of Servant-Leadership. https://app.cochat.ai/papers/10.33972/ijsl.379
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Stoddard, B. (2023). Absolving Conflict Through Principles of Servant-Leadership. International Journal of Servant-Leadership. https://doi.org/10.33972/ijsl.379

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.