Guiding the governance system for the future using dynamic modelling techniques
This study develops an equation allowing family businesses to have an optimal board structure in terms of size and composition through a dynamic mathematical modelling technique. The project- or product-type, growth opportunity and objectives that the business needs to achieve and the CEO influence...
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| Format: | article |
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2017
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| Online Access: | http://hdl.handle.net/10725/7338 https://doi.org/10.1504/IJCG.2017.085236 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.inderscienceonline.com/doi/abs/10.1504/IJCG.2017.085236 |
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| _version_ | 1864513482088513536 |
|---|---|
| author | Fahed-Sreih, Josiane |
| author2 | Khalife, Joe |
| author2_role | author |
| author_facet | Fahed-Sreih, Josiane Khalife, Joe |
| author_role | author |
| dc.creator.none.fl_str_mv | Fahed-Sreih, Josiane Khalife, Joe |
| dc.date.none.fl_str_mv | 2017 2018-04-11T13:06:51Z 2018-04-11T13:06:51Z 2018-04-11 |
| dc.identifier.none.fl_str_mv | 1754-3037 http://hdl.handle.net/10725/7338 https://doi.org/10.1504/IJCG.2017.085236 Fahed-Sreih, J., & Khalife, J. (2017). Guiding the governance system for the future using dynamic modelling techniques. International Journal of Corporate Governance, 8(1), 25-43. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.inderscienceonline.com/doi/abs/10.1504/IJCG.2017.085236 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | International Journal of Corporate Governance |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Guiding the governance system for the future using dynamic modelling techniques |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This study develops an equation allowing family businesses to have an optimal board structure in terms of size and composition through a dynamic mathematical modelling technique. The project- or product-type, growth opportunity and objectives that the business needs to achieve and the CEO influence on board, are not considered as determinants of the board size. It was also found that firm size and network links are positively related to both board size and composition. The only factor that is negatively related to board size and composition is market competitiveness. Those that are negatively related to board composition, are the project or product type, inside ownership, growth opportunity and age of the family business. Through this study and the unique mathematical model technique adopted, family businesses can identify which factor can be a determinant of board size and composition, and their relation with each, developing an optimal board structure. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_0bd47bdd1f177de7e83fa7723039331a |
| identifier_str_mv | 1754-3037 Fahed-Sreih, J., & Khalife, J. (2017). Guiding the governance system for the future using dynamic modelling techniques. International Journal of Corporate Governance, 8(1), 25-43. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/7338 |
| publishDate | 2017 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Guiding the governance system for the future using dynamic modelling techniquesFahed-Sreih, JosianeKhalife, JoeThis study develops an equation allowing family businesses to have an optimal board structure in terms of size and composition through a dynamic mathematical modelling technique. The project- or product-type, growth opportunity and objectives that the business needs to achieve and the CEO influence on board, are not considered as determinants of the board size. It was also found that firm size and network links are positively related to both board size and composition. The only factor that is negatively related to board size and composition is market competitiveness. Those that are negatively related to board composition, are the project or product type, inside ownership, growth opportunity and age of the family business. Through this study and the unique mathematical model technique adopted, family businesses can identify which factor can be a determinant of board size and composition, and their relation with each, developing an optimal board structure.PublishedN/A2018-04-11T13:06:51Z2018-04-11T13:06:51Z20172018-04-11Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1754-3037http://hdl.handle.net/10725/7338https://doi.org/10.1504/IJCG.2017.085236Fahed-Sreih, J., & Khalife, J. (2017). Guiding the governance system for the future using dynamic modelling techniques. International Journal of Corporate Governance, 8(1), 25-43.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.inderscienceonline.com/doi/abs/10.1504/IJCG.2017.085236enInternational Journal of Corporate Governanceinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/73382021-03-19T09:10:13Z |
| spellingShingle | Guiding the governance system for the future using dynamic modelling techniques Fahed-Sreih, Josiane |
| status_str | publishedVersion |
| title | Guiding the governance system for the future using dynamic modelling techniques |
| title_full | Guiding the governance system for the future using dynamic modelling techniques |
| title_fullStr | Guiding the governance system for the future using dynamic modelling techniques |
| title_full_unstemmed | Guiding the governance system for the future using dynamic modelling techniques |
| title_short | Guiding the governance system for the future using dynamic modelling techniques |
| title_sort | Guiding the governance system for the future using dynamic modelling techniques |
| url | http://hdl.handle.net/10725/7338 https://doi.org/10.1504/IJCG.2017.085236 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.inderscienceonline.com/doi/abs/10.1504/IJCG.2017.085236 |