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Nowadays there are many digital tools and mediatised ways for self-tracking for the sake of gaining self-knowledge through numbers. In his recent book ‘Resonance’, Hartmut Rosa suggests that artefacts can indeed resonate with people (Rosa, 2016, p. 381ff.) by affecting emotion, intrinsic interests and self-efficacy expectations. In contrast, Rosa characterises self-tracking as an attempt to measure the resource potential of individuals, confounding it with the good life itself (Rosa, 2016, p. 47). That is why we want to challenge Rosa’s concept of a good life and enhance the assertion of individual and social practices that can generate resonance.

With several case studies, we want to study empirically how people ‘resonate’ (or not) with and in self-tracking practices and to which degree Rosa’s hypothesis is verifiable or not. By empirically contrasting the quantifying practices and metric culture of self-tracking with the recently emerging sociological field of ‘world relationships’ and ‘resonance’, new insights on the embedding of the quantified with the qualified self will be gained.

Bloomington scholars are critical of the rather wide-spread “Model Platonism” of both Austrian and Chicago economists. Their empirical, B, perspective avoids the more extreme views of both Austrian “mindful economics,” A, and Chicago “mindless economics,” C. Yet the B is not a mere convex combination of A and C. It is rather a psychologically grounded empirical evidence-oriented approach that keeps clear of the non-empirical spirit of von Mises’ and Selten’s methodological dualism on one hand and the instrumentalist and behaviorist spirit of much of neo-classical economics on the other hand.

In the years 2003–2008, the Russian economy experienced a period of strong and sustained growth, which was accompanied by large worker turnover and rising informality. We investigate whether the burden of informality falls disproportionately on job separators (displaced workers and quitters) in the Russian labor market in the form of informal employment and undeclared wages in formal jobs. We also pursue the issues whether displaced workers experience more involuntary informal employment than workers who quit and whether informal employment persists. We find a strong positive link between separations and informal employment as well as shares of undeclared wages in formal jobs. Our results also show that displacement entraps some of the workers in involuntary informal employment. Those who quit, in turn, experience voluntary informality for the most part, but there seems a minority of quitting workers who end up in involuntary informal jobs. This scenario does not fall on all separators but predominantly on those with low human capital. Finally, informal employment is indeed persistent since separating from an informal job considerably raises the probability to be informal in the subsequent job.

Background: Insurance was discovered many centuries before Christ (BC). In the second and third millennia BC, Chinese and Babylonian traders traded risks. Insurance is now the backbone of the economy, but penetration is low in developing countries. Big data, internet of things (IoT), and InsurTech have recently ushered in the fourth industrial revolution in insurance.

Objective: This study examines the Indian challenges and solutions of using Big Data Analytics (BDA).

methodology: A SLR was used to extract themes/variables related to challenges and solutions in adopting BDA in the Indian insurance sector. Google Scholar was searched for relevant literature using keywords. Inclusion and exclusion criteria were used to filter the studies.

Findings: This study identified several barriers to BDA adoption in the Indian insurance industry. Policymakers could use the suggestions to improve insurance service delivery.

Practical implication: Insurers can understand the challenges, and accordingly, they can adopt the proposed solution in this study to enhance the insurance penetration in India.

The perception that a particular place is unsafe to live can significantly affect the quality of life of individuals who live there. In Brazil, crime rates in urban centres increase every year, which leads to a constant sense of fear shared by the population. Safety perception may affect the way people move in their neighbourhood and interact with the public environment. In the present study, we addressed the question of safety perception of residents of three areas of the Federal District, the capital of Brazil, and how this perception impacts walking behaviour. Seventeen residents participated in go-along ethnographic interviews, being accompanied in their daily journeys. Each interview recorded the interaction of the participants with the surroundings during their journey. The observations were submitted to content analysis to verify how perception of safety, insecurity and fear of crime affect the decision to walk. The results indicate that the decision to walk interacted with a more positive view of the neighbourhood, that is, perception of safety enhances walking. On the other hand, perception of insecurity and fear of crime discourage the occurrence of this behaviour. The more people fear crime and perceive a place as unsafe, the less they walk and the more they avoid walking in certain places. We conclude with a short note about the use of participatory mobile methods for the study of complex social phenomena such as perceptions and fear of crime.

In this paper, we investigate the connection between ethics and aesthetics with a supporting case from the international tourism industry. Researchers in sustainable tourism have ignored, resisted or simply been reluctant to include the aesthetic perspective in the analysis of sustainable development, social responsibility or climate adaptation. The consequence is that we know very little about the ways aesthetic affects ethical considerations among guests and travellers. A more comprehensive reconciliation of the ethical and aesthetic dimensions may lead to the recognition that a stronger emphasis on aesthetics can enhance the guest’s experience of sustainable tourism within a responsible experience economy. We argue that this economy can thrive under sophisticated capitalism.

The purpose of this chapter is to investigate the nature and range of solutions that can empower and (re-)engage vulnerable and marginalized populations so that they can fully participate in the social, economic, cultural, and political life. These innovative social solutions may be viewed as interactive, generative, and contextualized phenomena that are driven by individuals, organizations and institutional actors at micro, meso, and macro levels.

The use of Middle Range Theory (MRT) as an integrative approach provides an understanding of the processes and mechanisms that govern social phenomena including social innovations. Middle range theorizing focuses on empirical phenomenon and creates general statements that can be verified by data. As such MRT provides an appropriate framework to investigate social innovation trajectory and dynamics.

MRT has been used within the context of SIMPACT, a research project funded under the European Commission’s 7th Framework Program and is the acronym for “Boosting the Impact of Social Innovation in Europe through Economic Underpinnings.” The application of MRT to selected case studies has permitted to identify the micro (individual actions) and macro (structures) links in a variety of social and economic contexts across Europe.

This chapter provides new insights as how different themes studied in the SIMPACT project (i.e., migration, unemployment, education, gender, etc.) in different economic and geographic zones (i.e., Anglo-Saxon, Continental, East-European, and Scandinavia) have been treated by social innovators in response to problems of welfare, economic exclusion, and vulnerability. The research findings are susceptible to be of use in other countries with different economic, political, and social structures.

The significance of vulnerability is well-recognized by social innovators, intermediaries, and impact investors including governments and policy-makers. This requires greater policy and practical interventions, guidelines, and support. However the capacity to intervene is conditioned by financial and human resources. Further investigation about alternative social innovation business models will shed light on the resources and policies that would be needed to foster social innovation.

The analysis of social innovations' economic factors by case studies represents a pioneering effort to highlight social innovation path dependency and building as an effort to overcome the problems of vulnerability and exclusion.

This chapter studies the effect of increasing formality via tax reduction and simplification schemes on micro-firm performance. We develop a simple theoretical model that yields two intuitive results. First, low- and high-ability entrepreneurs are unlikely to be affected by a tax reduction and therefore, the reduction has an impact only on a segment of the micro-firm population. Second, the benefits to such reduction, as measured by profits and revenues, are increasing in the entrepreneur's ability. Then, we estimate the effect of formality on the entire conditional distribution (quantiles) of revenues using the 1996 Brazilian SIMPLES program and a rich survey of formal and informal micro-firms. The econometric approach compares eligible and non-eligible firms, born before and after SIMPLES in a local interval about the introduction of SIMPLES. We develop an estimator that combines both quantile regression and the regression discontinuity design. The econometric results corroborate the positive effect of formality on micro-firms’ performance and produce a clear characterization of who benefits from these programs.