Validation of a Social Responsibility Measurement Model: a Multivariate Cross-Sectional Study of the Banana Sector

Abstract

Introduction. This research is the result of a literature review and a multivariate statistical validation. This raises the edges of measurement of the current state of social responsibility. Objective. Design a diagnostic tool for the management of social responsibility for the agricultural sector. Therefore, the social responsibility diagnostic instrument was established in reference to ISO 26000 in the banana sector of the province of Los Ríos, Republic of Ecuador. Materials and methods. This study was not experimental. The theoretical method applied corresponded to inductive deductive analysis from five models of social responsibility. The empirical method was used. The information was collected with an instrument structured by Likert scales of 5 options. The statistical procedure used to measure the quality of the instrument was made up of reliability analysis and factor analysis. Results. Reliability indicators show a Cronbach’s Alpha of 0.754 and a Cronbach’s Alpha of two halves of 0.852 and 0.773. The indicators of the factor analysis show a KMO of 0.788, Bartlett’s sphericity test with a Chi square of 1644.521, degrees of freedom of 210 and a statistical significance of 0.000; A total variance explained that shows 7 groups with an accumulated variance of 80.76 %. Discussion and Conclusion. The construct under study and the seven edges in question have a high degree of reliability and validity. In addition, the instrument is suitable for application in companies in the banana sector.