Guiding the governance system for the future using dynamic modelling techniques

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dc.contributor.author Fahed-Sreih, Josiane
dc.contributor.author Khalife, Joe
dc.date.accessioned 2018-04-11T13:06:51Z
dc.date.available 2018-04-11T13:06:51Z
dc.date.copyright 2017 en_US
dc.identifier.issn 1754-3037 en_US
dc.identifier.uri http://hdl.handle.net/10725/7338
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.title Guiding the governance system for the future using dynamic modelling techniques en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 199590170 en_US
dc.author.department Department of Management Studies (MNGT) en_US
dc.description.embargo N/A en_US
dc.relation.journal International Journal of Corporate Governance en_US
dc.journal.volume 8 en_US
dc.journal.issue 1 en_US
dc.article.pages 25-43 en_US
dc.keywords Board composition en_US
dc.keywords Board of directors en_US
dc.keywords Board size en_US
dc.keywords Corporate governance en_US
dc.keywords Decision making en_US
dc.keywords Family firms en_US
dc.keywords Group decision making en_US
dc.keywords Team decision making en_US
dc.identifier.doi https://doi.org/10.1504/IJCG.2017.085236 en_US
dc.identifier.ctation 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. en_US
dc.author.email jsreih@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.inderscienceonline.com/doi/abs/10.1504/IJCG.2017.085236 en_US
dc.orcid.id en_US
dc.author.affiliation Lebanese American University en_US

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