Improving Corporate Governance Using DAO

Seyed Saman Hashemi-Khiabani, Daniel Polónia, Daniel Polónia

2023

Abstract

This study analyzes the transformative potential of Decentralized Autonomous Organizations (DAOs) in reshaping traditional corporate governance through Knowledge Management (KM) and Information Systems (IS). By highlighting the limitations of centralized governance models, such as power centralization, opacity, and stakeholder conflicts, this study argues for the efficacy of DAOs, which are undergirded by blockchain technology and smart contracts. DAOs epitomize non-hierarchical structures, autonomous functionality, and consensus-driven decision making. By leveraging decentralized platforms for transparent transactions and decision recording, DAOs augment organizational accountability and compliance. Through smart contracts, DAOs can effectively codify and manage business rules, ethical standards, and legal requirements, thereby enhancing the utilization of organizational knowledge and information systems. The study concludes that while DAOs may not universally replace traditional organizational structures, they can significantly reduce governance deficiencies and optimize knowledge and resource management, thereby offering a more effective corporate governance model in specific sectors.

Download


Paper Citation


in Harvard Style

Hashemi-Khiabani S. and Polónia D. (2023). Improving Corporate Governance Using DAO. 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 150-156. DOI: 10.5220/0012164600003598


in Bibtex Style

@conference{kmis23,
author={Seyed Saman Hashemi-Khiabani and Daniel Polónia},
title={Improving Corporate Governance Using DAO},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2023},
pages={150-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012164600003598},
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 - Improving Corporate Governance Using DAO
SN - 978-989-758-671-2
AU - Hashemi-Khiabani S.
AU - Polónia D.
PY - 2023
SP - 150
EP - 156
DO - 10.5220/0012164600003598
PB - SciTePress