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Reverses the traditional approach of defining classes or status groups before investigating patterns of social interaction by using patterns of interaction between more basic units such as occupational groups to determine the nature of stratification order. Outlines the theoretical basis and compares this to other methods before giving examples of applications.

A growing body of literature shows how intragenerational occupational mobility affects economic dynamics and social stratification. In this article the authors aim to carry out a structured review of this literature, outlining a systemic overview for more comprehensive research and public policies.

The authors use methods from structured literature reviews and network science to reveal the segmented research landscape of occupational mobility literature. The authors made an in-depth analysis of the most important papers to summarize the main contributions of the literature and identify research gaps.

The authors reveal a segmented research landscape around three communities: (1) human capital theory, (2) social stratification theory and (3) migration studies. Human capital research uses microfounded mathematical modeling to understand the relationship between skills and mobility. Nevertheless, it cannot explain social segregation and generally does not focus on the importance of local labor demand. Social stratification research can explain the social and institutional barriers to occupational mobility. Migration research studies the relationship between migration, labor demand and social mobility.

This paper is the first literature review that uses network analysis to perform a systematic review of the intragenerational occupational mobility literature. Moreover, this review identifies opportunities for mutual learning and research gaps in the research landscape.

The papers in this section investigate a range of conventional educational stratification topics – gender inequality, class-based differences, and social mobility – as they relate to pre-primary through higher education in Asia. Yet, the authors are able to move beyond typical tests of stratification theories. While all of the papers are grounded in comparative frameworks, they also draw on the authors’ deep, country-specific knowledge. This local knowledge enables authors to consider institutional organization, educational policy, and the cultural or economic context of schooling in their interpretation of results.

In this paper, we examine the social stratification in the favelas, urban slums, both in general and how it correlates with technology. The analysis is based on Weberian stratification theory, since it provides for a broad understanding of the different factors that make up the digital inequalities.

Based on a 10-month critical ethnographic research dealing with LAN houses and state supported telecenters in the favelas of Vitória, Brazil, we analyze how the use of technology by residents of such marginalized areas expands our understanding of Weber’s axes of stratification, namely class, status and political power. The data was drawn from user observations, Facebook interactions, and 76 semi-structured interviews.

The drug cartel members belonged to the higher class of favela residents due to their access to material resources and ability to afford smartphones and data plans. However, in terms of status groups, they did not represent the pinnacle of the community. Where status was concerned, the highest stratum of the community was composed of the “Facebook’s celebrities,” the few teenagers who knew how to produce content online, such as images and videos. An additional axis of social differentiation, related to political power, was observed during the 2013 protests in Brazil. Favela residents arrived late to the event and found themselves “fighting” for demands stipulated previously by the organizers who belonged to upper classes.

We highlight what access to ICTs can, and cannot, accomplish in a “highly disorganized,” conflict-ridden, and institution-poor environment. With that we hope to encourage academics and practitioners to do a better job in developing appropriate policies and technologies.

The study of business ethics has seldom shed light on small- and medium-sized enterprises (SMEs) despite their theoretical and practical significance. Drawing from strain perspective, the purpose of this paper is to address this insufficiency and investigate SME owners’ ethical attitudes toward money-related deviances.

Based on a large sample of 741 Chinese SMEs, an OLS regression analysis was employed to test associated hypotheses. The robustness of results was additionally checked.

The results suggest that for stratification variables, education level is positively related to ethical attitudes, whereas household income level is surprisingly negatively associated with ethical attitudes; for materialism facets, success and happiness exert a negative impact on ethical attitudes as hypothesized, but centrality has no associated impact.

This study has examined both structural and motivational sources of personal strains on the ethical attitude of SME owners, while the characteristics of these strains could be explored in the future studies.

This study advances and complements the dominant behavior approach that emphasizes cognitive and other psychological processes in explaining individual ethical attitudes. It is also seemingly the first study to examine the influence of three materialism facets on entrepreneurial ethical attitudes.

Within the past twenty years, the transition to adulthood has become a burgeoning area of research. The status attainment process, an early model for transition to adulthood research, has given way to research focusing on singular outcomes such as completing formal education, leaving home, obtaining employment, forming a union through marriage or cohabitation, and becoming a parent. As young adults continue to delay family formation, some argue that one’s first experience of heterosexual intercourse is also a symbol of adult status (Meier, 2001). Although most scholars agree that these outcomes along with chronological age symbolize being an adult, relatively few empirical studies examine them as inter-dependent transitions. A recent comparison of these indicators by gender, race, and social class is also needed.

The purpose of this study is to consider how a local government authority may present a tree asset register of street trees for the decision-making of the authority's stakeholders.

Using the tenets of population density theory, urban form theory and social stratification theory, the approach of the study is to develop a tree asset register in a local government authority's setting that could be modelled using many different attributes to derive important information for decision-making purposes.

Tree asset registers represent a critical tool in managing street trees across local government authorities.

Although the efficacy of an asset tree register may be curtailed by lack of internal audit or yearly updates, the practical consequence of an asset tree register is that local administrators may use the register to gather summarised, organised and parsimonious measures of a wide range of environmental, historical, cultural, aesthetic and scientific values of street trees.

Tree asset registers affords ratepayers, developers, tree managers and valuers a technology to plan, coordinate and manage street trees to support ecosystem services.

Asset tree registers offer planners a means to bring about sustainable change management.

The originality of the study rests in introducing tree registers as a means to meet diverse strategies for street tree management by interested stakeholders.