The role of social acceptance is crucial in securing the commitment and cooperation of prosumers (i.e. contraction of producer and consumer), which are essential for the optimal operation and regulation of micro smartgrids. Although designing for social acceptance in smart grid diffusion within energy communities is increasingly recognized in both research and policy domains, its widespread implementation and empirical validation remain limited. This study aims to promote the widespread adoption of the micro smart grid paradigm to advance energy transition initiatives. To achieve this goal, it is necessary to actively engage with prosumers, local communities, and regulatory bodies, demonstrate sustained commitment from stakeholders, and ensure optimal microgrid orchestration through social acceptance. To tackle these challenges, we developed a Share-of-Choice optimization model that aims to determine the most cost-effective setup for smart grid energy communities. This method starts by identifying social characteristics (i.e. salient attributes), such as the frequency of community meetings, to encourage efficient co-participation among prosumer roles and related demand-side management practices. Next, using conjoint analysis, we will calculate part-worth utilities to inform the Share-of-Choice optimization models. These models integrate cost structures and prosumer profiles to design roles that maximize social acceptance in achieving CO2 reduction goals. The model is currently theoretical, but we offer an illustrative example based on fictional data to showcase its potential outcomes. By using the Share-of-Choice approach, we aim to offer policymakers and stakeholders practical insights to guide the development and implementation of socially sustainable microgrid initiatives.