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Action from activists is at the origin of many initiatives that end up injecting moral concerns into the way companies operate. In such instances, activists function as moral entrepreneurs that lastingly change the definition of what constitutes morally acceptable corporate behavior. Yet, in order to have such a lasting effect on companies, activist efforts need to pass through multiple stages that deal with both the effective mobilization of their own constituents and the triggering of corporate responses that can induce broader change in the economy. In the present chapter, the authors study how local shareholder activists initiated and helped sustain the process that led to the establishment of active ownership in Switzerland between 1997 and 2011. Active ownership refers to the active engagement of shareholders with firms to push them toward considering environmental, social, and corporate governance criteria in their decision-making. The case illustrates the processual nature of moralizing dynamics initiated by activists and emphasizes the long-term and cumulative nature of many moralization projects.

Organizations are increasingly confronted with legitimacy threats related to the perceived social costs of their business activities. Despite a significant amount of research on the responses of individual organizations, surprisingly limited attention has been paid to the collective activities firms may engage to address such issues. In this paper, we use institutional theory as a lens for an exploratory case study of Issue-Based Industry Collective (IBIC) action in the alcohol industry. Our findings identify a new organizational form, the IBIC and inspire new research avenues at the intersection of business collective action, social issues, and institutional theory.

Moral struggles in and around markets abound in contemporary societies where markets have become the dominant form of economic coordination. Reviewing research on morality and markets across disciplinary boundaries, this introductory essay suggests that a moral turn can currently be observed in scholarship, and draws a direct connection to recent developments in the sociology of morality. The authors introduce the chapters in the present volume “The Contested Moralities of Markets.” In doing so, the authors distinguish three types of moral struggles in and around markets: struggles around morally contested markets where the exchange of certain goods on markets is contested; struggles within organizations that are related to an organization’s embeddedness in complex institutional environments with competing logics and orders of worth; and moral struggles in markets where moral justifications are mobilized by a variety of field members who act as moral entrepreneurs in their striving for moralizing the economy. Finally, the authors highlight three properties of moral struggles in contemporary markets: They (1) arise over different objects, (2) constitute political struggles, and (3) are related to two broader social processes: market moralization and market expansion. The introduction concludes by discussing some of the theoretical approaches that allow particular insights into struggles over morality in markets. Collectively, the contributions in this volume advance our current understanding of the contested moralities of markets by highlighting the sources, processes, and outcomes of moral struggles in and around markets, both through tracing the creation, reproduction, and change of underlying moral orders and through reflecting the status and power differentials, alliances, and political strategies as well as the general cultural, social, and political contexts in which the struggles unfold.

This short text argues that a single moral – the notion’s etymology refers to the mores of a group or a society – must not be contested, but as soon as more than one morality is in play, there is a great chance that at least one or both are contested. It is also argued that man is moral by definition. Markets come, by definition, with struggles, but not all struggles in markets are moral. Most struggles in markets are economic, and most markets are not contested. Future research in the field of moral struggles could benefit from clearer distinctions of types of struggle.

Previous theories discuss how corporate managers can stir anti-discrimination laws away from their initial social goal by managerializing the law. Yet, other actors – notably insider activists – can contribute to move corporate regulations beyond merely symbolic compliance. I demonstrate this influence of activists with three cases studies: (1) LGBT activists for same-sex parental leave; (2) disability rights activists for implementing a quota; and (3) Muslim activists to secure accommodations in French workplaces. Through these cases, I show how activists can move corporate laws beyond compliance, pressure firms to go from merely symbolic to substantive compliance, and analyze mechanisms that explain their unequal success. Bringing together insights from the legal endogeneity theory and social movements theory, I analyze these activist legal intermediaries as actors faced with unequal structure of opportunities, and examine what factors hinder or favor an activist-driven legal endogeneity. I demonstrate the impact of more prescriptive regulations, the institutional power of union representatives (and their alignment with activists’ claims), reputational stakes for companies, and the resources of activists themselves (legal expertise, ability to reframe laws, and informal power within their organizations). Last, I show how activists leverage organizational and legal tools (collective agreement, diversity policies) to induce recoupling between formal commitments and informal practices.

This study aims to explore the main concerns and attitudes Basque adolescents have regarding online privacy. It analyzes their motivations for sharing private information and the kind of information they share. Likewise, it examines whether they consider the potential consequences of revealing certain information online and analyzes if there are any differences between the motivations and attitudes of young people from Gipuzkoa and Labourd.

For this study, three methods were combined to collect the data in 17 schools in the Basque provinces of Gipuzkoa and Labourd: a survey carried out among 1,133 students, out of which 242 also completed a diary and 482 took part in discussion groups.

The data from this research does not fully support the “youth cultures of disclosure” (James, 2009) in the Basque Country; however, some of these practices have been observed.

Time spent online by adolescents has increased sharply in recent years. This increase has brought with it concerns about youth’s level of awareness regarding online privacy. This is the first cross-border study conducted in the Basque Country addressing this topic (in the Basque Autonomous Community, administratively belonging to Spanish territory, and in the Northern Basque Country, administratively in French territory).

The displaced commercial risk is one of the specific risks in the Islamic finance that creates a serious debate among practitioners and researchers about its management. The purpose of this paper is to assess a new approach to manage this risk using machine learning algorithms.

To attempt this purpose, the authors use several machine learning algorithms applied to a set of financial data related to banks from different regions and consider the deposit variation intensity as an indicator.

Results show acceptable prediction accuracy. The model could be used to optimize the prudential reserves for banks and the incomes distributed to depositors.

However, the model uses several variables as proxies since data are not available for some specific indicators, such as the profit equalization reserves and the investment risk reserves.

Previous studies have analyzed the origin and impact of DCR. To the best of authors’ knowledge, none of them has provided an ex ante management tool for this risk. Furthermore, the authors suggest the use of a new approach based on machine learning algorithms.