Open Science Research Excellence
@article{(International Science Index):,
  title    = {Assessment Tool for Social Responsibility Performance According to the ISO 26000},
  author    = {W. Fethallah and  L. Chraibi and  N. Sefiani},
  country   = {Morocco},
  institution={National School for Applied Sciences},
  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.},
  {International Journal of Industrial and Manufacturing Engineering },  volume    = {10},
  number    = {10},
  year      = {2016},
  pages     = {3533 - 3537},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 118, 2016},