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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Friday 06 December 2024

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IPO decision: Explanatory models


[ Decisión de salida a bolsa: Modelos explicativos ]

Volume 75, Issue 2, November 2024, Pages 235–242

 IPO decision: Explanatory models

Sanae Ait Jillali1 and Mohammed Belkasseh2

1 Hassan First University of Settat, ENCG, LARFAGO Laboratory, Morocco
2 Hassan First University of Settat, ENCG, LARFAGO Laboratory, Morocco

Original language: Spanish

Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Many companies are spurred on by the reward of the decision to go public. Following the objectives they pursue and the problems they want to solve with it, they can decide whether they want to go public or not, it is also a decision related to the degree of tolerance of the company’s owners regarding the information shared with the public and shared ownership. So it is interconnected with three crucial elements, namely; information, profitability, organization, or capital structure. The purpose of this article is to provide a review of the literature that highlights the explanatory factors of an IPO decision. In particular, through the theoretical foundations underlying the decision to go public and its effect on control, capital structure, and other characteristics of companies. This article provides a more holistic and integrated view of the IPO as a corporate event and a strategic and managerial decision, and the way companies judge it when deciding whether or not to go public, and the conclusion offers avenues for future research.

Author Keywords: Advantages of IPO, Explanatory Models, IPO, Restrictions of IPO.


How to Cite this Article


Sanae Ait Jillali and Mohammed Belkasseh, “IPO decision: Explanatory models,” International Journal of Innovation and Scientific Research, vol. 75, no. 2, pp. 235–242, November 2024.