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In this paper, we use data from the US census to document the history of the relationship between fertility choice and key economic indicators at the individual level for women born between 1826 and 1960. We find that this data suggests several new facts that should be useful for researchers trying to model fertility. (1) The reduction in fertility known as the Demographic Transition (or the Fertility Transition) seems to be much sharper based on cohort fertility measures compared to usual measures like Total Fertility Rate; (2) The baby boom was not quite as large as is suggested by some previous work; (3) We find a strong negative relationship between income and fertility for all cohorts and estimate an overall income elasticity of about −0.38 for the period; (4) We also find systematic deviations from a time invariant, iso-elastic, relationship between income and fertility. The most interesting of these is an increase in the income elasticity of demand for children for the 1876–1880 to 1906–1910 birth cohorts. This implies an increased spread in fertility by income which was followed by a dramatic compression.

This chapter explores social media and athlete mental health and well-being from a sociological perspective. The chapter provides an overview of current literature and encourages future research to address the mental health and well-being impacts of social media use among athletes.

The chapter synthesizes existing literature focusing on sociological approaches to mental health, social media's impact on mental health, and athlete mental health and well-being. Focus is given to the ways social media can impact athlete mental health and well-being through virtual maltreatment and using the platforms for social change and challenging stigmatization.

Virtual maltreatment typically manifests in the intersectionality between gender, race, and sexual orientation adding to mental health challenges of vulnerable groups. Conversely, athletes could help challenge stigmatization of mental health and use their status to create social change among social groups experiencing higher rates of mental health challenges.

The chapter reveals that sociological perspectives around athlete mental health and well-being related to social media are growing, yet predominately concentrate on publicly available social media content. Therefore, more concentrated efforts are needed to fully understand these impacts in the short and long-term.

The chapter provides one of the first insights on social media and athlete mental health and well-being from a sociological perspective and argues that athletes contend with unique stressors compared to the general population which can exacerbate mental health challenges. The chapter advances that more research is needed to inform practice and help safeguard vulnerable populations of athletes.

A synthesis of the various strands of macro-sociology that is commensurate with a more robust theory of evolutionary institutionalism.

Drawing from what may be conceived of as classical institutionalism and from neo-evolutionary sociology and other related traditions, this chapter endeavors to provide a general theory of evolutionary institutionalism as an overview of institutions and institutional autonomy (along with the underlying forces driving the process of autonomy), to present a theory of institutional evolution that delineates the relevant units of selection and evolution, the types of mechanisms that facilitate institutional evolution, and a typology of the sources of variation.

The chapter constitutes the attempt to provide a theoretical framework intended to engender an improved historical-comparative institutionalism inspired by the works of Max Weber and Herbert Spencer.

The purpose of the theoretical framework presented should not be misconstrued as a general, “grand” theory for the discipline of the sociology as a whole, but rather understood as the model of a common vocabulary for sociologists interested in macro-sociology, institutions, and socio-cultural evolution designed to complement other available models.

As a synthesis, the originality of the theoretical framework presented lies in (1) elucidation of the idea that institutional autonomy as the “master” process of institutional evolution, (2) more precise delineation of the link between meso-level institutional entrepreneurs and institutional evolution, and (3) combination of a body of complementary – yet often loosely linked – bodies of scholarship.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

Recent scholarship in neo-evolutionary sociology has rejected stage-models in favor of multilinear theories that shift the study of sociocultural change away from teleological arguments toward those that emphasize selection pressures and macrodynamics. The paper below adopts a neo-evolutionary frame to revisit one of the most epochal moments in human sociocultural evolution, the urban revolution (about 5,000 years ago in Mesopotamia, China, Egypt, and perhaps the Indus Valley) and the rise of the first political units. Shifting the analysis from conventional perspectives, this paper asks the question why the polity was the first autonomous institution besides kinship and what consequences did this have on the trajectory of the human societies, and more generally, human sociocultural evolution. By doing so, a slightly different historiography is presented in which institutional autonomy corresponds not with stages, but rather an historical “phasing” that emphasizes the role that institutional entrepreneurs have played in driving institutional evolution via structural opportunities and historical contingencies.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

This chapter outlines the extent to which the traditional characteristics of masculinity in sport – initially played out in sports stadia and the traditional media in the late nineteenth and throughout most of the twentieth century – are now also a feature of social media and digital technology platforms in the twenty-first century. At the outset, this chapter discusses the historical association between masculinity and sporting competition and how this has played an important role in presenting a normative heterosexual identity among players, fans, and the traditional media. The chapter then discusses the introduction of social media and digital technology platforms and the impact this history is having in these rapidly consumed spaces, with a particular focus on language, such as hate speech.

This chapter examines and discusses a myriad of literature from inside and outside of academia that explores masculinity, sport, and the internet. These discussions are backgrounded within a historical context and connected to contemporary examples.

Social media and digital technology platforms have provided opportunities for athletes, the media, and fans, to engage in more of an active debate on masculinity in sport than existed in the twentieth century. However, the chapter also addresses the traditional characteristics of masculinity that remain in the culture of sport and in online environments, especially surrounding hate speech.

This chapter, while engaging in an emerging topic of discussion, offers important recommendations for future research and the ways in which this can be methodologically carried out on the internet on a variety of topic areas surrounding masculinity in sport from a sociological perspective.

This chapter is an examination of what is meant by the term ‘Good Farmer’ and whether or not this is compatible with being a good businessperson. The term ‘Feckless Farmer’ is introduced to describe someone who is the opposite of a Good Farmer. And all of this is considered with reference to the farmers of the village of Ambridge in the West Midlands, with special emphasis on the practices of Brian Aldridge and his recent issues with contamination of his land and neighbouring watercourses. This work starts by defining key terms before moving on to consider the similarities and differences between farms and other types of businesses. The different philosophical paradigms that can underlie different definitions and practices of a Good Farmer are also explored. The ways that the economies of farms differ from most businesses will also be discussed. With some conclusions being drawn as to whether Mr Aldridge is a Good Farmer or a Feckless one, and if he deserved to be lauded as an award-winning businessperson.

We develop a Bayesian approach for modeling brain activation and connectivity from functional magnetic resonance image (fMRI) data. Our approach simultaneously estimates local hemodynamic response functions (HRFs) and activation parameters, as well as global effective and functional connectivity parameters. Existing methods assume identical HRFs across brain regions, which may lead to erroneous conclusions in inferring activation and connectivity patterns. Our approach addresses this limitation by estimating region-specific HRFs. Additionally, it enables neuroscientists to compare effective connectivity networks for different experimental conditions. Furthermore, the use of spike and slab priors on the connectivity parameters allows us to directly select significant effective connectivities in a given network.

We include a simulation study that demonstrates that, compared to the standard generalized linear model (GLM) approach, our model generally has higher power and lower type I error and bias than the GLM approach, and it also has the ability to capture condition-specific connectivities. We applied our approach to a dataset from a stroke study and found different effective connectivity patterns for task and rest conditions in certain brain regions of interest (ROIs).