There is a growing systemic interest in the social benefit and social harm of business activities. As reliance on technology increases, human and cyber interaction may, one day, work in concert for social sustainability. To that end, machines need to be instructed or programmed; however, assessments for social value are complex, costly and often customized to a specific audience. What is missing is a guide, a model that allows us, the stakeholders, to evaluate to what extent these technologies think and operate in line with our expectations and in terms of value and societal requirements. This thesis conceptualizes the patterns that bring together different sets of social value and social impact indicators for systemic alignment with social sustainability.