Social stratification in transitional economies: property rights and the structure of markets

In transitions from state socialism, property rights are re-allocated to organizations and groups, creating new markets and new forms of economic enterprise that reshape the stratification order. A generation of research has estimated individual-level outcomes with income equations and mobility models, relying on broad assumptions about economic change. We redirect attention to the process of economic change that structures emerging markets. The process varies across market sectors, depending on the entity that is granted rights formerly exercised by state organs, and on the combination of rights they are granted. The transformation of three sectors in China—agriculture, steel manufacturing, and real estate—shows how different allocations of property rights alter the stratification order in strikingly different ways. Historical analysis of the evolution of markets and enterprises integrates insights from economic sociology into research on social stratification, providing a structural perspective on transitions from state socialism.     

The Role of Blended Value Accounting in the Evaluation of Socio-Economic Impact of Social Enterprises

Social enterprise has become a key phenomenon in providing public services in many developed countries. The debate on the evaluation of the socio-economic impact generated by this kind of organization has gone hand in hand with the growth of social entrepreneurship. This study provides an exploratory analysis of the emerging practice of measuring the socio-economic impact of social enterprises using the theoretic construct called “Blended Value Accounting” (BVA). Among the models and tools proposed by BVA, we examine in particular the Social Return on Investment (SROI)—an instrument of causal contribution analysis—conducting a literature review on its application to the evaluation of socio-economic impact of social enterprises and on its implications for BVA. Finally, we reach a conclusion as to the role that these tools of mixed accounting and assessment might play—particularly the one examined—with respect to the positivist, critical, and interpretative theories of accounting, thus identifying the areas for further research.     

Why social status matters for understanding the interrelationships between testosterone,economic risk‐taking,and gender

We conduct an extensive review of the literature on testosterone and economic risk‐taking behavior. In sum, there is evidence of a positive association between testosterone and economic risk taking, although it is unlikely to be a strong association given the abundance of null results. However, we argue that the existing literature may overstate the causal effects of testosterone on economic risk taking (or even report a spurious correlation) because this research has not considered the potentially confounding role of social status. Status could concurrently influence both testosterone and economic risk taking, given that testosterone is a social hormone with a reciprocal relationship with social status, and social status has been found to drive risk‐taking behavior. We also argue against using findings from this literature to make gender essentialist claims, primarily because social phenomena influence the size—and existence—of gender differences in economic risk‐taking behavior. We conclude with suggestions for future research.     

Unpacking the Biographical Antecedents of the Emergence of Social Enterprises: A Narrative Perspective

Despite the burgeoning research on social enterprise (SE), there is a dearth of research that investigates the biographical factors that influence the emergence of SEs in the form of hybrid organizations on a large scale. Drawing on the emerging narrative perspective of SE, we examine the biographical narratives of 317 self-identified social entrepreneurs who were selected as fellows by two of the world’s largest SE support organizations: Ashoka and the Schwab Foundation. We employ Gioia’s methodology and principal component analysis to derive and subsequently classify the biographical antecedents of SE emergence. This study makes a novel contribution to the SE-as-hybrid-organization literature by revealing eight biographical antecedents of SE emergence, four of which can be categorized into social skills, and four others can be categorized into economic skills, which constitute SE’s social position. We also develop a typology of SE based on different combinations of individuals’ social skills and social position. Finally, we discuss the implications of this study for the SE-as-hybrid-organization literature, highlight its limitations, and present possible avenues for future research.     

The determination of enterprise groupings through combined ownership and directorship ties

Recent work on economic structure has tended to focus around discovering general or global mappings to represent complex patterns of binary or multiplex ties. By contrast, this paper seeks to define an intermediate level of structure—the “enterprise ”—and to measure it concretely using a combination of ownership and director/officership or executive board membership ties.In the first section, we outline the theoretical and substantive basis of the concept of “enterprises” as it is used in the literature. Difficulties in the operationalization of this concept are then surveyed and some tentative solutions suggested. In the second section, we describe in detail the methods used to implement our definition of enterprises for a set which includes the 5306 firms which most directly shape the Canadian economy. The third section outlines the impact of the use of four slightly different versions of this definition on arrays of enterprise memberships. Finally, the larger implications of our findings—both for the measurement of intermediate levels of structure and for the study of cross-national economic connections—are discussed.     

Spatial microsimulation for rural policy analysis in Ireland: The implications of CAP reforms for the national spatial strategy

Microsimulation attempts to describe economic and social events by modelling the behaviour of individual agents. These models have proved useful in evaluating the impact of policy changes at the micro level. Spatial microsimulation models contain geographic information and allow for a regional or local approach to policy analysis. This paper builds on previous work on urban systems by employing similar modelling techniques for the analysis of rural areas [Birkin, M., Clarke, M., 1988. SYNTHESIS—a synthetic spatial information system for urban and regional analysis: methods and examples. Environment and Planning A 20, 1645–1671; Ballas, D. et al., 1999. Exploring microsimulation methodologies for the estimation of household attributes. The Fourth International Conference on GeoComputation, 25–28 July 1999, Fredericksburg, Virginia, USA (paper presentation); Ballas, D, Clarke, G. P., 2000. GIS and microsimulation for local labour market policy analysis. Computers, Environment and Urban Systems 24, 305–330; Ballas, D., Clarke, G. P., 2001a. Modelling the local impacts of national social policies: a spatial microsimulation approach. Environment and Planning C: Government and Policy 19, 587–606; Ballas, D., Clarke, G. P., 2001b. Towards local implications of major job transformations in the city: a spatial microsimulation approach. Geographical Analysis 33, 291–311]. It describes the development of the simulation model for the Irish local economy (SMILE) model. SMILE is a static and dynamic spatial microsimulation designed to analyse the impact of policy change and economic development on rural areas in Ireland. This paper focuses on the static model. First, we describe the European and Irish policy environment and indicate the importance of building spatial models to analyse change in rural Ireland. Second, we review existing literature on regional and local modelling techniques and the use of spatial models as tools for policy analysis. Third, we describe the SMILE static model. The model generates synthetic spatially referenced population for the Irish Republic at the small area level—the population micro data is produced for district electoral divisions (DEDs). Finally, we show how data from other sources can be linked to the static model output. We link data from the Irish National Farm Survey on farm system, income and off-farm employment of operator to the SMILE static model. We use this example to show its potential as a tool for policy analysis.     

Readiness for practice: social work students' perspectives in England,Italy, and Sweden

The aim of this article is to present the views of social work students from three different welfare regimes—Italy, Sweden, and England—and to analyze in what way at the end of their training they feel ready to practice. Primarily, it considers the findings of a comparative pilot study conducted in the three countries. Specifically, the paper initially offers general comments on the European context of standards of social work competence and how these impact on the countries involved here. It then briefly discusses the three different welfare regimes that these countries reflect. Social work education is then given some consideration, including reflection on similarities and differences in each curriculum. We then review examples of previous research on students' readiness to practice, also referencing models of competence previously developed. After this we look in detail at the research study itself, with a short discussion of its methodological—primarily phenomenological—approach and modest scope, before we consider tentative findings in relation to the themes of theory, practice, and personal growth. The paper concludes with reflections on levels of competence attained and how the research might best be extended.     

A comparative study on Italian new communities abroad: the cases of Tunisia and South Africa1

This paper presents two case studies about Italian new communities abroad: one Tunisian and one South African. These case studies were conducted – in a larger international research project on 14 countries – with different types of interview: focus interviews, in-depth interviews, focus groups, etc. The mixed interview modes brought to light how – with a different research strategy (methodological triangulation): quantitative and qualitative data – our complex social experience can be inquired into, in particular migration processes. The authors decided to utilise semi-standardised and non-standardised techniques. This paper discusses how the mixed research logic – utilised in both of these cases – is very productive in terms of knowledge. It seems that focus group interviewing techniques (and others) have been used progressively more and more over the past years as both a self-contained method for conducting qualitative research and in combination with other research methods. In the authors’ opinion, mixed-methods research (or multiple research strategies) represents a smaller corpus of literature that is getting increased attention. The essays in our paper are grouped along four themes: (a) economic development and globalisation; (b) perceptions and discourses; (c) the new migration phenomenon; and (d) fragmentation of identity. The authors believe that rebuilding a morceau de vie of Italian emigration helps to better analyse the role of the communities of immigrants in the construction of national processes. As a result of this, their survey introduces reflections on theoretical—methodological logic and concurs with placing such aspects in a global and social structural dimension. However, the universal and social structural dimension can be extended to the specific case. Its contribution in the first part investigates a variety of linkages of migration with broader processes of social–economic development and social globalisation. That global patterns of migration and the processes of globalisation are linked in various ways has long been recognised. The second part of the paper stresses the meaning of perceptions and discourses linked with the migration phenomenon and underlines the importance of an accurate methodological approach in order to provide new sociological points of view and appropriate research strategies.     

Participatory Governance in Social Enterprise

This paper emphasizes the importance of participative governance in the study of social enterprise. Furthermore, it argues that social enterprise must be analyzed through a multi-dimensional perspective. The EMES approach is based on three dimensions emphasizing the social, economic, and political dimension, while many Anglo-American definitions tend to use a one-dimensional spectrum framework. The latter often see social enterprise as a simple phenomenon that can be arranged along a continuum, ranging from economic to social, where more of one means less of the other. However, this fails to acknowledge the multi-disciplinary nature of social enterprise. Scholars inspired by the EMES approach should devote greater attention to exploring the interactive and interrelated nature of the three dimensions of social enterprise, especially the governance dimension.     

Social work as gendered issue from a generational point of view

Social work is a gendered activity in terms both of its workforce and of the students who enter this profession. In this paper we analyse the underlying dynamics of this phenomenon in the Italian context, according to the characteristics and points of view of different generations of social workers. Data from a 2008 survey of 1000 interviews and 50 in-depth informant interviews are considered. Two multinomial linear models have been included in order to analyse the perceptions of younger and older social workers with regard to social work as ‘female work’ or ‘male work’. The results show that the perception of social work as a matter of gender is stronger among younger social workers, and that the younger generations appear to be less oriented towards equal gender roles. Longer work experience contributes to explaining different gender models. The chronological age of social workers, however, seems to be a less important variable in explaining the differences between generations.     

Bridges to learning: international student mobilities,education agencies and inter‐personal networks

International education is a fundamentally transnational project. It relies on the movement of individuals or knowledge across national borders, disturbs the centrality of the nation‐state in educational reproduction, and is facilitated by economic and social networks that act as bridges between countries of origin and education. In this article, I address this latter point through reference to research conducted with South Korean international students in Auckland, New Zealand. In particular, I discuss the emergence of transnational social and economic activities that are facilitating the movement of international students from South Korea to Auckland — activities that might usefully be understood as forming ‘bridges to learning’. These include the activities of education agencies, immigrant entrepreneurs and the interpersonal relationships with which many students engage in the negotiation of their transnational lives. In a broader sense I illustrate how the emerging mobilities of international students cannot be viewed as independent of other phenomena but must be seen as embedded within transnational processes that take place at different geographic and social scales.     

Defining the Universe of Social Enterprise: Competing Metaphors

After more than a decade of research the debate over social enterprise definitions and classifications continues. EMES network in Europe argues that there is an ideal type of social enterprise to which all ventures should aspire. The spectrum approach emphasizes the trade-off between pure profit-making and social impact, locating organizations on this continuum. The Schumpeterians take innovation as its central focus, arguing that the disruption of the status quo is an important differentiator. We argue that each falls short of providing an adequate framework for future research, policy, and practice. Instead we offer an alternative metaphor, that of a social enterprise zoo; many different “animals” combine social and market goals in substantially different ways and each species has distinct environments and needs. Using the metaphor we consider the important components of a meaningful research agenda and examine the place of social entrepreneurs within the social enterprise zoo.     

Narrative analysis in aging studies: A typology for consideration

This article seeks to expand our understanding on narrative and the analysis of stories researchers invite and collect in the domain of aging studies. To do so, we first offer an understanding of what narrative inquiry can be by laying out a theoretical basis for this kind of research, and making a case for the relevance of narrative as an alternative methodology. Painting with broad strokes, narrative analysis as a method is then considered before a typology of different ways in which stories can be analyzed is introduced. Illuminated by the typology are two contrasting standpoints toward narrative analysis—storyteller and story analyst—and three specific methods—structural, performative, and autoethnograpic creative analytic practices—that each standpoint might use to analyse the whats and hows of storytelling. The article closes by suggesting that in order to assist us to understand the complexities of aging researchers might consider using a variety of analyses.     

White Ethnic Diversity in Small Town Iowa: A Multilevel Analysis of Community Attachment

Community attachment is the feeling of being connected to community life. Within the community attachment literature, two classic approaches frame scholars’ understanding of this important dimension of community life: the linear development and systemic models. Our empirical models emphasize different factors for community attachment, including population size, density, and heterogeneity for the linear development model and age, length of residence, and social status for the systemic model. Surprisingly, heterogeneity has been omitted from analyses of the linear development model throughout the literature since its introduction, a shortcoming our study addresses. Though heterogeneity can be conceptualized in a number of ways, a large—and growing—body of literature focuses on the effects of race and ethnicity for communities. Here, we focus on a particular type of ethnic heterogeneity—European ancestry—and reincorporate this essential dimension of communities back into the linear development model of community attachment. Using data from the 2004 wave of the Iowa Community Survey and multilevel modeling techniques, we explore how white ethnic diversity matters for community life. We conclude with a discussion of the implications of our study, including potential avenues for future research focusing on other ethnicities that are often subsumed under broader racial and panethnic labels.     

Measuring to Improve Versus Measuring to Prove: Understanding the Adoption of Social Performance Measurement Practices in Nascent Social Enterprises

Social enterprises are described as organizations with dual objectives—social and commercial. While the measurement of commercial performance is relatively straightforward and well understood, our understanding of the factors related to measuring social performance is more ambiguous. Is the adoption of social performance measurement (SPM) practices more related to external pressures, such as the need to demonstrate legitimacy to funders and peers, or is it more closely related to the growing rationalization within the social sector? We examine the relationship between external and internal factors and the adoption of SPM using a novel dataset of 1864 nascent social enterprises from around the world. Our findings suggest support for the argument that the adoption of SPM in social enterprise is related to the growing rationalization of the social sector, which challenges some of the past research on this topic, and provides a more nuanced perspective of SPM in social enterprise.     

Social Enterprise in Mental Health: An Overview

ABSTRACT

This article provides an overview of the models and concepts of social enterprise utilized for and by people with serious mental illness histories. Although social enterprise in mental health is not new, the naming of it as social enterprise and the attention these efforts have garnered is new. This article will provide a brief history of social enterprise in formal social services; review some conceptual issues and differences between social enterprise in Europe and North America—the two major current centers of its activity; and conclude with some observations of the ways in which mental health social enterprises are developing.     

Rethinking the European countryside—can we learn from the South?

A new paradigm of multi-dimensional rural development has emerged which advocates a broader conception of the rurality where the rural is no longer the monopoly of the farmer. This new, broader paradigm needs to be reflected in the methodology of social scientific research, both generic and applied. In this paper we are primarily concerned with transfer of research methodologies utilised in development studies in the South to explore their usefulness for rethinking the European countryside. Such a transfer of methodology may be helpful, because integrated rural development can build on a long legacy in the South, while it has only recently been advocated in the EU context. The paper reflects upon the application of two such analytical concepts originating from development studies, which we have applied for research on the rural geographies in the European countryside, namely Sen's livelihood capabilities approach and Chambers’ concept of participatory rural appraisal (PRA). Having the sustainable livelihoods approach as overall framework, both methodologies are qualitative in nature and address people's survival strategies and livelihood practices with a focus on micro-level analysis at individual, household (Sen) and community level (PRA), while reflecting their embeddedness in wider social, political and economic structures. Our comparative studies suggest that the prospects for bottom-up development, as orchestrated by PRA or similar approaches, is constrained by structural factors, which define the boundaries for local development. The capabilities approach is useful to detect the capabilities to act and be within which bottom-up approaches may take their—though limited—role in rural development.     

Missing data in networks: exponential random graph (p1) models for networks with non-respondents

Survey studies of complete social networks often involve non-respondents, whereby certain people within the “boundary” of a network do not complete a sociometric questionnaire—either by their own choice or by the design of the study—yet are still nominated by other respondents as network partners. We develop exponential random graph (p¹) models for network data with non-respondents. We model respondents and non-respondents as two different types of nodes, distinguishing ties between respondents from ties that link respondents to non-respondents. Moreover, if we assume that the non-respondents are missing at random, we invoke homogeneity across certain network configurations to infer effects as applicable to the entire set of network actors. Using an example from a well-known network dataset, we show that treating a sizeable proportion of nodes as non-respondents may still result in estimates, and inferences about structural effects, consistent with those for the entire network.If, on the other hand, the principal research focus is on the respondent-only structure, with non-respondents clearly not missing at random, we incorporate the information about ties to non-respondents as exogenous. We illustrate this model with an example of a network within and between organizational departments. Because in this second class of models the number of non-respondents may be large, values of parameter estimates may not be directly comparable to those for models that exclude non-respondents. In the context of discussing recent technical developments in exponential random graph models, we present a heuristic method based on pseudo-likelihood estimation to infer whether certain structural effects may contribute substantially to the predictive capacity of a model, thereby enabling comparisons of important effects between models with differently sized node sets.     

Social Enterprise Innovation: A Quantitative Analysis of Global Patterns

Social enterprise and innovation are inextricably linked in the literature (Chell et al. in Entrepr Reg Dev 22(6):485–493, 2010; Dees in Harv Bus Rev 76:54, 1998; Light in Stanf Soc Innov Rev 4(3):47–51, 2006). To date, research on social enterprise innovation has predominantly focused on micro-level factors, such as the social entrepreneur or organizational attributes. Inversely, recent empirical advances on social enterprise find a country’s social enterprise sector is influenced by macro-institutional factors, including form of government, stage of economic development, culture and model of civil society (Monroe-White and Coskun, in: Shaping social enterprise: understanding institutional context and influence, Emerald Publishing Limited, London, pp 27–48, 2017). Given the link between social enterprise and innovation, recent empirical findings around social enterprise beg the question, do macro-institutional factors similarly predict innovation by social enterprises? This paper uses a hierarchical linear model to examine the influence of national-level variables on social enterprise innovation. Results indicate that similar to social enterprise, macro-institutional factors predict social enterprise innovation. More specifically, macro-institutional factors influence the various types of innovations (product, process and marketing) differently. Moreover, country-level innovation is traditionally defined by economic factors, such as R&D funding and STEM workforce, however, these factors do not help explain social enterprise innovation. Given the social aspects of social enterprise innovation, to capture the full scope of innovation within countries, expanded definitions of national-level innovation should be considered.     

Integrating normative values and/in value creation: A strategic management decision aid tool for social enterprises' values practices

Normative values are one of the most central motives for the creation of nonprofits and social enterprises. Nevertheless, their actual role in the management of these organizations has been little explored. Furthermore, the social enterprise literature has typically approached the concept of value from a value creation perspective. This paper looks at the role played by normative values in the strategic management decisions of a nonprofit social enterprise and unpacks the dynamics between the enactment of these values and the creation of social and economic value. In terms of practical implications, this research allows for proposal of a value‐based, strategic management decision aid tool that emerged from the in‐depth, longitudinal study of a work integration social enterprise. Our findings suggest that the enactment of normative values can actually feed in economic value creation, which, in turn, allows for strengthened respect of the normative values, thus generating virtuous cycles that ultimately help the organization to find a coherence between its social mission and market.