[ Modélisation d’un Indice de Performance de la Responsabilité Sociétale selon la norme ISO 26000 ]
Volume 30, Issue 1, April 2017, Pages 1–13
Widad Fethallah1, Lotfi Chraibi2, and Naoufal Sefiani3
1 Département des Systèmes d’Information et de Communication, Equipe MMAPO, LABTIC, Ecole Nationale des Sciences Appliquées de Tanger, Université Abdelmalek Essaâdi, B.P 1818 Tanger Principale, Morocco
2 Département des Systèmes d’Information et de Communication, Equipe MMAPO, LABTIC, Ecole Nationale des Sciences Appliquées de Tanger, Université Abdelmalek Essaâdi, B.P 1818 Tanger Principale, Morocco
3 Département Génie Mécanique, Laboratoire M.D.F., Faculté des Sciences et Techniques, Université Abdelmalek Essaâdi, BP. 416 : Tanger, Morocco
Original language: French
Copyright © 2017 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.
The aim of the present work is to develop a new model to assess the Corporate Social Responsibility CSR performance of an organization based on a holistic and interdependent approach as described in the foundations and principles of the ISO 26000 standard. The proposed model generates a new Corporate Social Responsibility (CSR) Index, which help the organization to characterize and assess its performance regarding to the seven core subjects of ISO 26000 standard, with the different stakeholders. Inspired by the work of G. K. Kanji and P. K. Chopra, we propose a model of structural equations composed of latent and manifest variables. The model identifies the various connections between the different components (the core subjects). The implementation on the XLSTAT software provides an index for each latent variable that can be analysed in order to improve the CSR performance.
Author Keywords: Corporate Social Responsibility, Structural Equation Model, Latent Variable, Manifest Variable, CSR Index, Stakeholders, XLSTAT Software.
Volume 30, Issue 1, April 2017, Pages 1–13
Widad Fethallah1, Lotfi Chraibi2, and Naoufal Sefiani3
1 Département des Systèmes d’Information et de Communication, Equipe MMAPO, LABTIC, Ecole Nationale des Sciences Appliquées de Tanger, Université Abdelmalek Essaâdi, B.P 1818 Tanger Principale, Morocco
2 Département des Systèmes d’Information et de Communication, Equipe MMAPO, LABTIC, Ecole Nationale des Sciences Appliquées de Tanger, Université Abdelmalek Essaâdi, B.P 1818 Tanger Principale, Morocco
3 Département Génie Mécanique, Laboratoire M.D.F., Faculté des Sciences et Techniques, Université Abdelmalek Essaâdi, BP. 416 : Tanger, Morocco
Original language: French
Copyright © 2017 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
The aim of the present work is to develop a new model to assess the Corporate Social Responsibility CSR performance of an organization based on a holistic and interdependent approach as described in the foundations and principles of the ISO 26000 standard. The proposed model generates a new Corporate Social Responsibility (CSR) Index, which help the organization to characterize and assess its performance regarding to the seven core subjects of ISO 26000 standard, with the different stakeholders. Inspired by the work of G. K. Kanji and P. K. Chopra, we propose a model of structural equations composed of latent and manifest variables. The model identifies the various connections between the different components (the core subjects). The implementation on the XLSTAT software provides an index for each latent variable that can be analysed in order to improve the CSR performance.
Author Keywords: Corporate Social Responsibility, Structural Equation Model, Latent Variable, Manifest Variable, CSR Index, Stakeholders, XLSTAT Software.
Abstract: (french)
Le présent travail consiste à développer un nouveau modèle relatif à l’évaluation de la performance responsabilité sociétale de l’organisation (RSO) basé sur une approche holistique et interdépendante issue des fondements et principes de la norme ISO 26000. Le modèle d’évaluation proposé génère des indices de mesure RSO, qui aideraient l’organisation à caractériser et évaluer sa performance par rapport aux sept questions centrales, dans le but d’améliorer sa démarche RSO, et ce dans une logique participative avec ses diverses parties prenantes. Inspiré des travaux de G. K. Kanji et P. K. Chopra, nous proposons un modèle d’équations structurelles composé de variables latentes et de variables manifestes. L’avantage du modèle permet de mieux cerner les diverses connections et causalités entre les différentes composantes (les questions centrales). L’implémentation du modèle sur le logiciel XLSTAT fournit des indices de mesure pour chaque variable latente qui peuvent être analysés et interprétés afin de développer les plans d’actions et les aspects à améliorer dans la démarche RSO.
Author Keywords: Responsabilité sociétale de l’organisation, Modèle d’équations structurel, Variable latente, Variable Manifeste, Indice RSO, Partie prenante, logiciel XLSTAT.
How to Cite this Article
Widad Fethallah, Lotfi Chraibi, and Naoufal Sefiani, “Modelling a Corporate Social Responsibility performance index according to the ISO 26000 Standard,” International Journal of Innovation and Scientific Research, vol. 30, no. 1, pp. 1–13, April 2017.
