The theory of the firm initially developed by Ronald Coase has made explicit the political nature of firms by putting hierarchy at the heart of the economic process. Theories of workplace democracy articulate this intuition in the normative terms of the conditions under which this political power can be legitimate. This paper presents an organizational theory of workplace democracy, and contends that the democratization of firms requires that we take their organizational dimension explicitly into account. It thus construes democracy as (...) an organizational principle and juxtaposes it to market, hierarchy, and norm-compliance as rival principles for the organization of economic activities. Attempts to construe democracy as an organizational principle with unique features in the tradition of transaction-cost economics are discussed before proposing an innovative solution based on an updated version of grid/group cultural theory of politics, adjusted to accommodate the basic requirements of democratic theory. (shrink)

The pervasiveness of AI-empowered technologies across multiple sectors has led to drastic changes concerning traditional social practices and how we relate to one another. Moreover, market-driven Big Tech corporations are now entering public domains, and concerns have been raised that they may even influence public agenda and research. Therefore, this chapter focuses on assessing and evaluating what kind of business model is desirable to incentivise the AI for Social Good (AI4SG) factors. In particular, the chapter explores the implications of this (...) discourse for SDG #17 (global partnership) and how this goal may encourage Big Tech corporations to strengthen multi-stakeholder partnerships that promote effective public-private and civil society partnerships and the meaningful co-presence of non-market and market values. In doing so, the chapter proposes an analysis of the sociological notion of "social license to operate" (SLO) elaborated in the mining and extractive industry literature and introduces it into the discourse on sustainable digital business models and responsible management of risks in the digital age. This serves to explore how such a social license can be adopted as a practice by digital business models to foster trust, collaboration and coordination among different actors - AI researchers and initiatives, institutions and civil society at large - for the support of SDGs interrelated targets and goals. (shrink)

Digital technologies are rapidly transforming economies and societies. Scholars have approached this rise of digital capitalism from various angles. However, relatively little attention has been paid to digital capitalism’s cultural underpinnings and the beliefs of those who develop most digital technologies. In this paper, we argue that a solutionist order of worth – in which value derives from solving social problems through technology – has become central to an emerging spirit of digital capitalism. We use supervised learning to trace the (...) relative importance of different orders of worth in three novel text corpora. We find that solutionism is indeed central to the normative beliefs of digital elites and the broader digital milieu, but not to capitalist discourse at large. We illustrate the importance of these findings by discussing how the spirit of digital capitalism motivates, legitimates, and orients the actions of digital capitalists. (shrink)

Self-sovereign identity solutions implemented on the basis of blockchain technology are seen as alternatives to existing digital identification systems, or even as a foundation of standards for the new global infrastructures for identity management systems. It is argued that ‘self-sovereignty' in this context can be understood as the concept of individual control over identity relevant private data, capacity to choose where such data is stored, and the ability to provide it to those who need to validate it. It is also (...) argued that while it might be appealing to operationalise the concept of ‘self-sovereignty’ in a narrow technical sense, depreciation of moral semantics obscures key challenges and long-term repercussions. Closer attention to the normative substance of the ‘sovereignty’ concept helps to highlight a range of ethical issues pertaining to the changing nature of human identity in the context of ubiquitous private data collection. (shrink)

This article provides an introduction to the special issue on post-neoliberalism. It does so by considering challenges to the neoliberal order that have come, post-financial crisis, from the political right. It looks closely at the relation of neoliberalism to conservatism, on one hand, and libertarianism, on the other, in order to address the threat posed to the neoliberal order by paleoconservatism, neoreactionary politics, ordonationalism, libertarian paternalism, and different forms of sovereignty and elite power. The final section of this introduction reflects (...) on the challenge to the neoliberal orthodoxy posed by the current COVID-19 crisis. For while events of 2020–21 have facilitated new forms of privatization of many public services and goods, they also signal, potentially, a break from the neoliberal orthodoxies of the previous four decades, and, in particular, from their overriding concern for the market. (shrink)

With the digitalization of the economy and society, varieties of "platform capitalism" appeared in the world. The article presents the first attempt at a critical understanding of the "gig economy" model that is taking shape in contemporary Russia. By problematizing the narratives that dominate foreign studies of platform employment, the author shows the embeddedness of platformization in the current economic system. Unlike countries with a developed market economy, labor platforms in Russia are part of giant platform ecosystems controlled by oligarchic (...) businesses and the state, which, in the course of "creeping nationalization", increases its influence through ownership and management structures. In key sectors of platform employment, quasi-monopolies are formed with the dominance of one company. In the context of geopolitical tensions, the process of "sovereignization" and the closure of the platform economy is being completed. Having successfully platformized informal labor markets in some sectors, platforms are becoming a tool for the legalization of employment in the hands of the state, driven primarily by fiscal interests. In Russia, a neoliberal model of regulation of the gig economy is being formed based on the legal introduction of the category of 'self-employed' in the absence of due attention to labor rights and the social protection of workers. With the strengthening of the authoritarian nature of the state, the possibilities of self-organization and collective defense of the interests of platform workers are blocked. The author concludes that in the Russian model of "platform capitalism", the state enters an alliance with big capital and consumers against labor: the state strengthens control over the economy and tax revenues, large platform companies use labor at lower costs, and consumers receive cheap services through convenient digital services. The author calls for an integration of the issues of platform capitalism into broader discussions about the Russian model of socio-economic development. (shrink)

Platform companies use techniques of algorithmic management to control their users. Though digital marketplaces vary in their use of these techniques, few studies have asked why. This question is theoretically consequential. Economic sociology has traditionally focused on the embedded activities of market actors to explain competitive and valuation dynamics in markets. But restrictive platforms can leave little autonomy to market actors. Whether or not the analytical focus on their interactions makes sense thus depends on how restrictive the platform is, turning (...) the question into a first order analytical concern. The paper argues that we can explain why platforms adopt more and less restrictive architectures by focusing on the design logic that informs their construction. Platforms treat markets as search algorithms that blend software computation with human interactions. If the algorithm requires actors to follow narrow scripts of behavior, the platform should become more restrictive. This depends on the need for centralized computation, the degree to which required inputs can be standardized, and the misalignment of interests between users. The paper discusses how these criteria can be mobilized to explain the architectures of four illustrative cases. (shrink)