A Sustainability Score Development for a Social Responsibility Network

The social networks are beneficial platforms to organize, plan and approve the social responsibility related actions. In the existing social networks, there is a lack of scoring metric that indicates the performance scores of the users/individuals in terms of any dimensions such as sustainability. In this study, a novel multi criteria decision making method is utilized to offer a way to score the sustainability belongs to activities managed and/or participated by the users. A hesitant fuzzy analytical hierarchy process model (HFAHP) is aimed to use because of its strength on dealing with vagueness originated from subjectivity. A real application will be conducted for a social responsibility Start-Up initiative named GooDeer. The provided methodology’s results will be integrated into the GooDeer mobile application providing social network interaction for goodness ecosystem.