Commenced in January 2007
Paper Count: 32007
Assessment Tool for Social Responsibility Performance According to the ISO 26000
Abstract:The present paper is concerned with a statistical approach involving latent and manifest variables applied in order to assess the organization's social responsibility performance. The main idea is to develop an assessment tool and a measurement of the Social Responsibility Performance, enabling the company to characterize her performance regarding to the ISO 26000 standard's seven core subjects. For this, we conceptualize a structural equation modeling (SEM) which describes various causal connections between the Social Responsibility’s components. The SEM’s resolution is based on the Partial Least squares (PLS) method and the implementation is running in the XLSTAT software.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128931Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 938
 Bayart, S. Bertezene, and D. Vallat “Les serious games: des leviers en faveur du knowledge management,”2013.
 C. Fornell, D.F. Larcker. ‘’Evaluating structural equation models with unobservable variables and measurement error’’, Journal of Marketing Research, Vol.18, N°1, pp.39-50, 1981.
 C. Fornell, M. Johnson, and E. Anderson, “The American customer satisfaction index: nature, purpose, and findings,” J. Mark., vol. 60, no. October, pp. 7–18, 1996.
 Data analysis XLSTAT software, https://www.xlstat.com/fr.
 E. Jakobowicz, Thése: “Contributions aux modèles d’équations structurelles à variables latentes,” pp. 1–204, 2007.
 G. Joreskog and D. A. G. Sorbom. “Recent Developments in Structural Equation Modeling”: Journal of Marketing Research, Vol. 19, No. 4, Special Issue on Causal Modeling, pp. 404-416, 1982.
 G. K. Kanji and W. Wallace “Business excellence through customer satisfaction,” Total Qual. Manag., vol. 11, no. 7, pp. 979–998, 2000.
 G. K. Kanji and P. K. Chopra “Corporate social responsibility in a globaleconomy,” Total Qual. Manag. Bus. Excell. vol. 21, no. 2, pp. 119–143, 2010.
 G. Giannarakis, D. Galani, C. Georgia, and N. Litinas, “The weight of Corporate Social Responsibility indicators in measurement procedure,” World Acad. Sci. Eng. Technol., vol. 4, no. 6, pp. 341–349, 2010.
 G. Joreskog. “Structural analysis of covariance and correlation matrices,” Psychometrika,vol. 43, no. 4, pp. 443–477, 1978.
 H. Wold “Partial least squares,” Encycl. Stat. Sci., no. 2, pp. 581–591,path modeling in accounting research,” Int. J. Account. Inf. Syst., vol. 12, no. 4, pp. 305–328, 1985.
 ISO 26000 Guidelines Corporate Social Responsibility. Geneva, ISO, 127p, 2010.
 J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial Least Squares: The Better Approach to Structural Equation Modeling?,” Long Range Plann., vol. 45, no. 5–6, pp. 312–319,2012.
 J. Hulland “Use of partial least squares (PLS) in strategic management research: A review of four recent studies,” Strateg. Manag. J., vol. 20, no. 2, pp. 195–204, 1999.
 P. K. Chopra and G. K. Kanji, “Environmental health: Assessing risks to society,” Total Qual. Manag. Bus. Excell. vol. 22, no. 4, pp. 461–489, 2011.
 W. W. Chin, “The partial least squares approach to structural equation modeling,” Mod. Methods Bus. Res., no. October, pp. 295–336, 1998.
 W. W. Chin, “Structural Equation Modeling Analysis with Small Samples Using Partial Least Squares,” 1999.