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The purpose of this study is to explore and prioritize the factors that determine the social insurance contribution of unorganized workers.

A two-stage procedure was adopted to recognize and prioritize factors influencing the social insurance participation of unorganized workers: first, crucial factors influencing unorganized workers’ contribution towards social insurance were identified by employing exploratory factor analysis, and in the second phase, the fuzzy analytical hierarchal process was applied to rank the specified criteria and then sub-criteria by assigning weights.

Four broad factors were identified, namely, economic, political, operational and socio-psychological, that significantly influence unorganized workers’ contribution towards social insurance. Later findings revealed that the prime influencer of unorganized workers’ contribution is employment contracts followed by average earnings, delivery of quality services, eligibility and accessibility.

The research findings are feasible as the basic propositions are based on real-world scenario. The identification and ranking of factors have the potential to be used as a checklist for policymakers when designing pension and social insurance for unorganized workers. If it is not possible to consider all, the criteria and sub-criteria assigned upper rank can be given priority to extend pension coverage for a large group of working poor.

The key factors driving social insurance contributions have been highlighted by studying the stakeholders’ perceptions at a micro level. By comprehending the challenges, there is a possibility of covering a large section of the working poor into social insurance coverage.

This paper is believed to be one of its kinds to acknowledge a combination of factors that determine the contribution of unorganized workers to social insurance. This study is an empirical investigation to prioritize the essential drivers of social insurance participation by low-income cohorts in the context of emerging countries. The present approach of employing fuzzy logic has also very limited use in social insurance literature yet.

The purpose of this paper is to examine how the practices, processes and expertise embedded within Social Impact Bonds (SIBs) distinctively mediate the tensions between outcome payers’ competing and contradictory programmatic discourses.

We use qualitative research methods and employ concepts drawn from the governmentality literature to analyse interviews with SIB outcome payers.

SIBs are shown to challenge the degree of negative influence of biopolitics, neoliberalism and financialization by highlighting a broader and more holistic set of influences. SIB operations pre-empt and counteract perceived risks and are refined through a “learning by doing” effect. In contrast to other approaches to funding social interventions, the SIB structure attributes and independently validates outcomes. Payments to investors are based on the achievement of outcomes and are funded by the outcome payers. SIBs’ operational processes allow the responsibilities of the various parties to be explicitly assigned and contracted. The interests are aligned, yet the cultural differences harnessed.

This paper is one of the first to apply governmentality concepts to SIBs. By focusing on outcome payers, the paper provides new perspectives on the practices, processes and expertise of governing and the programmatic discourses of governing, as well as their relationship. The insights offered are supported by one of the largest and most diverse empirical SIB samples including 34 interviews where 43 individuals reflect on their experiences across 32 unique outcome payer organisations.