This study identifies predictors of retention and turnover among volunteers in three Israeli community centers. The entire service volunteer population was examined at two points in time with an interval of 6 months. At T2 a distinction was made between "stayers", "leavers for objective reasons" (uncontrollable turnover), and "leavers by choice" (controllable turnover). On the basis of their responses at T1, discriminant analysis was used to identify the specific personal, organizational and attitudinal variables which could distinguish the "stayers" (41) from the "leavers by choice" (35). In the combined analysis of all three categories of independent variables, one organizational (preparation for task) and three attitudinal variables (task achievement, relationship with the other volunteers, and the work itself) were identified as best discriminating between the two groups. The classification analysis found that these variables could better predict retention than turnover. The findings are compared to s...

The Impact Tech Startup (ITS) is a new, rapidly developing type of organizational category. Based on an entrepreneurial approach and technological foundations, ITSs adopt innovative strategies to tackle a variety of social and environmental challenges within a for-profit framework and are usually backed by private investment. This new organizational category is thus far not discussed in the academic literature. The paper first provides a conceptual framework for studying this organizational category, as a combination of aspects of social enterprises and startup businesses. It then proposes a machine learning (ML)-based algorithm to identify ITSs within startup databases. The UN’s Sustainable Development Goals (SDGs) are used as a referential framework for characterizing ITSs, with indicators relating to those 17 goals that qualify a startup for inclusion in the impact category. The paper concludes by discussing future research directions in studying ITSs as a distinct organizational category through the usage of the ML methodology.

This paper focuses on an analysis of market-oriented social enterprises providing employment opportunities for marginalized populations as hybrid organizations, needing to balance their divergent institutional logics. The paper introduces a welfare angle into the discourse on the topic to complement the business administration focus in the literature. It challenges the traditional separation between the world of regular work and the world of welfare and provides conceptual frameworks that enable certain marginalized populations to be involved in market-oriented social enterprises and consequently integrate in the community. It provides both a rationale for the existence of market-oriented social enterprises and an analysis of their organizational characteristics. That analysis is based on a conceptualization of a dual hybridity of these entities: The hybridity of form that has to do with structure and can be seen as a combination between a for-profit and a non-profit organization and the hybridity of substance, which emanates from the traditional negation between the business and the welfare paradigms and can be seen as a combination between a for-profit workplace and a human service agency.