Empresas sociales y tecnología: aliados al servicio de la inclusión

María Fernanda Figueroa Herrera
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Abstract

Social Enterprises (SE) are organizations with a social or environmental mission and they develop a business model that makes the mission sustainable (Alter, 2007; Hockerts, 2015; Mair & Martí, 2006; Mair & Noboa, 2003). The social or environmental mission guides the business logic but both are part of the organizational core. While companies are expected to prioritize the value captured for their owners (profit) and social organizations prioritize the value creation for their beneficiaries (impact), the SE intends to reconcile these conflicting expectations and do so comprehensively and systemically (Santos, et. al. 2015). The technology associated with the SE´s mission has generated innovative solutions to structural problems of society, breaking down access barriers to essential products and services, generating employment for people in groups excluded from the labor market, among others. This study aims to analyze the business model of two Argentine Social Enterprises that use technology to achieve their social mission, that balance the business and social logic in their organizational core and that are in a scaling stage. The sampling will be directed or non-probabilistic and the data collection will be carried out through a literature review and information search in secondary sources (enterprise websites, case studies, among others). Finally, the data analysis will be performed following the Osterwalder business canvas structure (2004), identifying and explaining the elements that compose it.
社会企业和技术:为包容服务的盟友
社会企业(SE)是具有社会或环境使命的组织,它们开发了一种使使命可持续发展的商业模式(Alter, 2007;Hockerts, 2015;maair & Martí, 2006;maair & Noboa, 2003)。社会或环境使命指导业务逻辑,但两者都是组织核心的一部分。虽然公司被期望优先为其所有者(利润)获取价值,而社会组织优先为其受益人(影响)创造价值,但SE打算协调这些相互冲突的期望,并全面和系统地这样做(Santos等人,2015)。与SE的使命相关的技术为社会结构性问题提供了创新的解决方案,打破了获得基本产品和服务的障碍,为被排除在劳动力市场之外的人群创造了就业机会。本研究旨在分析两家阿根廷社会企业的商业模式,这两家企业利用技术来实现其社会使命,在其组织核心中平衡商业和社会逻辑,并处于规模化阶段。抽样将是直接的或非概率的,数据收集将通过文献审查和二手来源(企业网站、案例研究等)的信息搜索来进行。最后,将按照Osterwalder业务画布结构(2004)执行数据分析,确定并解释组成该结构的元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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