Vassil Kirov

Twin green and digital transitions (TTs) are framed as mutually reinforcing pathways toward climate neutrality and economic modernisation. However, local realities in peripheral, coal regions in Southeastern Europe (SEE) indicate a more complex and contested picture. The paper traces how TTs are shaped, perceived, negotiated, and implemented in two historically lignite-dependent areas, Stara Zagora (Southeast Region, Bulgaria) and Kozani (Western Macedonia, Greece), through qualitative comparative research drawing on 24 semi-structured interviews with energy workers, institutional stakeholders, local government representatives, and industry actors, conducted between June and October 2025, triangulated with statistical, institutional, and policy documentation. The conceptualisation integrates labour regimes, Varieties of Capitalism, and Europeanisation, while the analysis examines divergent local pathways produced by common European policy architecture. The findings indicate that TTs are not experienced nor understood as unified synergistic agendas but as asymmetric and differentiated processes, with green transition dominating the discourse while digital transition remains detached from the materialised understandings of transition. Governance is perceived as centralised and distant, labour market interventions such as retraining programmes serve as fund absorption mechanisms, while renewable energy projects generate neither quality employment nor community ownership. Instead of transformative processes, TTs in both cases function as a renewed modality of deindustrialisation. The paper moves from empirical findings of local transition realities to normative arguments about the democratic governance conditions that just transition requires.

Platform cooperatives, namely, businesses that sell goods or services primarily through a website, mobile app, or protocol and commit to the principles of democratic governance and shared ownership, have lately been proposed as a more sustainable, equitable and, under certain conditions, even efficient alternative to the organizational model of commercial platforms. Accordingly, they have been presented as economic institutions capable of involving all their relevant stakeholders in an extended and inclusive governance structure. Nevertheless, this emerging literature is still characterized by the lack of a holistic and analytic framework connecting the dispersed studies on the topic through the lens of stakeholder theory and detailing strategic complementarities between these different stakeholders. Related to this point, while dealing with the competitive advantages and challenges of platform cooperatives, little reference has been made to the existing debate in governance theory about the advantages and challenges of cooperative firms as compared to capitalist ones. These research gaps motivated our literature review, which is the first comprehensive systematic review specifically focused on this topic. Given the still‐emerging character of the research object, our work also makes way for future updates as new contributions are gradually published.

This article discusses the interconnection between the green transition and the digital transformation, known as the twin transition. The article analyses the specific role of digitalisation and its impact on a regional entrepreneurial ICT ecosystem in Sofia, Bulgaria, where the digital transformation has led to decent work in the ICT sector but is completely disconnected from the green transition. The article argues that these processes need a policy lever to develop in parallel with one another and connect, as they are rather disconnected.

Eleven Central and Eastern European (CEE) countries joined the European Union in 2004, 2007 and 2013. While one of the objectives of European integration – economic convergence – has been at least partly achieved between new and old member states, it has not been accompanied by convergence in industrial relations systems (Delteil & Kirov, 2016). In fact, the characteristics of Eastern European capitalism and its subtypes vary across new member states (Bohle & Greskovits, 2012). Nevertheless, most of these countries share the common trend of eroding trade union membership and influence. Despite these trends, the social models in CEE countries were able to generate some compromises and responded to economic crises in the post-enlargement period, such as the Great Recession of 2008. Political responses to these crises reflected national institutional settings (Johnstone et al., 2019), and the role of trade unions in shaping anti-crisis measures varied across EU countries and industrial relations systems (e.g., Geary, 2015; Kahancová, 2013). During the COVID-19 pandemic, social partners in CEE have been active in efforts to mitigate the negative consequences of the economic downturn; however, evidence on the scope, scale, and effects of their roles in shaping policy responses to the pandemic remains scant.

Artificial intelligence (AI) is a leading technology in the digital transformation. AI is expected to cause job losses in general, initially in professions associated with routine activities, and subsequently in the field of creative professions. The present article analysed the results of the authors’ own empirical sociological survey of the attitude of Bulgarian translators towards AI, and the ways in which it will change their profession. Most of them perceive artificial intelligence and automatization as threats to the profession. According to them, digital technologies and AI will modify the profession by relieving human translators of the routine, technical part of the job. Hence, translators will predominantly edit machine-translated texts, and teach artificial intelligence to perform machine translation. The conclusion of the analysis demonstrates that, in the case of Bulgarian translators, such pessimistic scenarios about mass jobs destruction are not justified. In addition, expectations of a deterioration in quality of work as a result of digitalization in the near future are not justified in the case of the translating profession. The present survey results serve as a basis for further research about the impact of artificial intelligence on other creative professions.

The article compares the process of digitalisation and outcomes from work restructuring in two banks from the United Kingdom and Luxembourg. The banking sectors in both countries have been challenged by digitalisation pressures such as online and mobile banking, pressures from ‘Fintech’ banks, and the automation of back-office operations. Yet, the adjustment paths in the two countries differed. In Luxembourg, there is an adjustment via limited lay-offs, and increased training and reskilling; however, in the United Kingdom, the main outcomes revolve around branch downsizing and offshoring of employment. These outcomes are explained by differences in institutional supports for collective voice institutions, as well as the role of the state. The findings demonstrate that the embedded employment relations’ institutions and actors have shaped distinct paths of adjustment to digitalisation; and show how the impact of technology on work is neither deterministic nor unidirectional.