Abstract

Considering digital start-ups as agents of social innovation, this study highlights the Potential for Social Value Frame (PSVF) method. The latter helps examine how projects inherently frame the social domain beyond ranking techniques, and measures their potential for social value creation from a structural perspective, relying on Coleman’s Boat and the model of levels of agency. Based on a mixed method of multi-stage coding, content analysis, and scaling, the model was tested on an 8-year sample. Plotted over time, digital solutions show increasing potential for creating significant social value, especially related to AI and big data.

摘要

将数字初创企业视为社会创新的推动者，本研究强调了社会价值框架潜力(PSVF) 方法。后者有助于检查项目如何在排名技术之外固有地构建社会领域，并根据 Coleman 的船和代理级别模型，从结构角度衡量它们创造社会价值的潜力。基于多阶段编码、内容分析和缩放的混合方法，该模型在 8 年的样本上进行了测试。随着时间的推移，数字解决方案显示出创造重要社会价值的潜力越来越大，尤其是与人工智能和大数据相关的价值。