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Through a review of historically famous cases and a chronicle of neurotechnology development, this chapter discusses brain structure and brain function as two distinct yet interrelated paths to understand the relative contributions of anatomical and physiological mechanisms to the human brain–behavior relationship. From an organizational neuroscience perspective, the chapter describes over a dozen neuroimaging technologies that are classified under four groupings: morphologic, invasive metabolic, noninvasive metabolic, and electromagnetic. We then discuss neuroimaging variables that may be useful in social science investigations, and we underscore electroencephalography as a particularly useful modality for the study of individuals and groups in organizational settings. The chapter concludes by considering emerging science and novel brain technologies for the organizational researcher as we look to the future.

While corporate social responsibility (CSR) has been gaining support for the role it plays in employee outcomes, such as organizational identification (OID), the view of CSR from a social identity perspective is underdeveloped. This conceptual chapter explores the role of social identity processes grounded in organizational justice to develop a model of CSR attributions and the moderating role these attributions play in organizational member outcomes. CSR is understood as the relational processes happening with stakeholders, and these relationships engage specific organizational identity orientations. The social identity process flows from there, resulting in CSR attributions including strategic, relational, and virtuous. Using social identity, organizational identity, and organizational justice, this chapter makes two specific contributions: a CSR attribution typology grounded in organizational justice and the moderating impact of these attributions between activated justice dimensions and resulting organizational member outcomes.

This Introduction gives a historical and theoretical overview of this volume on Fields of Knowledge: Science, Politics and Publics in the Neoliberal Age, which showcases original research in political sociology of science targeting the changes in scientific and technological policy and practice associated with the rise of neoliberal thought and policies since the 1970s. We argue that an existing family of field theoretic frameworks and empirical field analyses provides a particularly useful set of ideas and approaches for the meso-level understanding of these historical changes in ways that complement as well as challenge other theory traditions in sociology of science, broadly defined. The collected papers exhibit a dual focus on sciences’ interfield relations, connecting science and science policy to political, economic, educational, and other fields and on the institutional logics of scientific fields that pattern expert discourses, practices, and knowledge and shape relations of the scientific field to the rest of the world. By reconceptualizing the central problem for political sociology of science as a problem of field- and inter-field dynamics, and by critically engaging other theory traditions whose assumptions are in some ways undermined by the contemporary history of neoliberalism, we believe these papers collectively chart an important theoretical agenda for future research in the sociology of science.

In this essay, we seek to understand how international business schools contribute to the development of effective global leaders. To do so, we start by examining the practical needs and challenges faced by multicultural teams operating in diverse global environments. Next, we compare and contrast three models of global leadership skills development used at three international institutions in Poland, Mexico, and Canada. We analyze each approach using Brake’s (1997) global leadership triad and Oddou and Mendenhall’s (2018) transformational axes model. We then discuss the future of global leadership education and the role business schools should play in the development of appropriate skills.

In order to deepen understanding of team processes in dynamic organizational contexts, we suggest that analyses employing techniques to identify and analyze team member interaction patterns and trajectories are necessary. After presenting a brief review of interaction data coding and reliability requirements, we first review examples of two approaches used in the identification and analysis of interaction patterns in teams: lag sequential analysis and T-pattern analysis. We then describe and discuss three statistical techniques used to analyze team interaction trajectories: random coefficient modeling, latent growth modeling, and discontinuous growth analysis. We close by suggesting several ways in which these techniques could be applied to data analysis in order to expand our knowledge of team interaction, processes, and outcomes in complex and dynamic settings.

Sterilisation in India (and globally) has a contentious and deeply politicised history. Despite this troubling legacy, India continues to rely on female sterilisation as the main form of contraception and family planning. Abortion, which has been legal under broad grounds since 1971, intersects with sterilisation at different points over women's reproductive lifecourse. Drawing on three case studies exploring women's abortion trajectories in Karnataka, India (2017), this chapter examines sterilisation as a reproductive technology (RT) in women's abortion narratives. These include experiences of failed sterilisation necessitating abortion, as well as narratives around pre- and post-abortion counselling with sterilisation conditionalities. Women report healthcare workers shaming or scolding them for not being sterilised after their last pregnancy – demonstrating the prominence of sterilisation as an enforced social norm using ‘health’ frames. Using reproductive justice (RJ) as a lens, I analyse how sterilisation interacts with abortion and the narratives of shame and stigma that surround the two technologies and make visible the ways in which it results in the denial and restriction of women's reproductive freedoms.

Purpose – In order to explore how gender and sexual politics are played out in everyday practice within both the extreme right and jihadi-Salafist movements online, this chapter analyzes the content of two women’s only forums: The Women’s Forum on Stormfront.org and Women Dawah, a Turkish language pro-IS group chat on Telegram.

Methodology – The Women’s Forum and the Women Dawah data sets were analyzed using structural topic modeling to uncover the differences and similarities in salient topics between White Nationalist and Islamic State women-only forums.

Findings – The cross-ideological and multi-linguistic thematic analysis suggests that the safety of online spaces enables women to be more active, and serves digital support network for like-minding individuals. It also highlights that religion and ideology, whilst interwoven throughout posts on both platforms, they were more explicitly discussed within Women Dawah data.

Originality/Value – This research uses a unique data set which was collected over one year to conduct a cross-ideological and multi-linguistic thematic analysis, a relatively uncommon approach.