Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation

Arthur Wilson, Brad Carey, Amma Buckley

2023

Abstract

Investment decisions of leaders and managers influence the adoption and use of digital technologies that then transform their organization’s products, services, and operations. To foster transformation, project management methods are commonly used. However, project failure rates often exceed success rates regardless of the industry sector, or project management methodology. While project success has traditionally been measured in terms of time, cost, and quality, recent research suggests that success includes the dynamic interaction between multiple actors in diverse networks. Traditional project management methods may not adequately identify and help mitigate the risks associated with complex and dynamic influence of leadership and management on project success. This study uses actor-network theory (ANT) to examine opportunities to enhance the effectiveness of leadership and management in projects and mitigating associated risks. By doing so, this study aims to provide insights into how organizations can improve project success rates.

Paper Citation

in Harvard Style

Wilson A., Carey B. and Buckley A. (2023). Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-671-2, SciTePress, pages 109-116. DOI: 10.5220/0012153700003598

in Bibtex Style

@conference{kmis23,
author={Arthur Wilson and Brad Carey and Amma Buckley},
title={Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2023},
pages={109-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012153700003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
SN - 978-989-758-671-2
AU - Wilson A.
AU - Carey B.
AU - Buckley A.
PY - 2023
SP - 109
EP - 116
DO - 10.5220/0012153700003598
PB - SciTePress