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Cited by 732

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Agency theory: Review of Theory and Evidence on Problems and Perspectives

Panda, Brahmadev, Leepsa, N. M.·2017·Indian Journal of Corporate Governance

Abstract

This article intends to review the theoretical aspects and empirical evidences made on agency theory. It is aimed to explore the main ideas, perspectives, problems and issues related to the agency theory through a literature survey. It discusses the theoretical aspects of agency theory and the various concepts and issues related to it and documents empirical evidences on the mechanisms that diminish the agency cost. The conflict of interest and agency cost arises due to the separation of ownership from control, different risk preferences, information asymmetry and moral hazards. The literatures have cited many solutions like strong ownership control, managerial ownership, independent board members and different committees can be useful in controlling the agency conflict and its cost. This literature survey will enlighten the practitioners and researchers in understanding, analysing the agency problem and will be helpful in mitigating the agency problem.

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Crossref · 10.1177/0974686217701467

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Metadata

Authors
Panda, B., & Leepsa, N. M.
Venue
Indian Journal of Corporate Governance
Published
2017-06
Volume
10
Issue
1
Pages
74-95
ISSN
  • 0974-6862 (ISSN-L)
  • 2454-2482
OpenAlex
W2621123276
Cited by
732
References
72
FWCI
87.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Agency theory: Review of Theory and Evidence on Problems and Perspectives. https://app.cochat.ai/papers/10.1177/0974686217701467
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Panda, B., & Leepsa, N. M. (2017). Agency theory: Review of Theory and Evidence on Problems and Perspectives. Indian Journal of Corporate Governance. https://doi.org/10.1177/0974686217701467

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.