Reporting on corporate social responsibility (CSR) has broadened widely within the last decade. A great deal of research on sustainability reporting (SR) has focused on American and Western Europe companies. Only fragmentary studies exist that compare reporting patterns of CEE countries. There is substantial room for investigating how and to what extend companies in CEE disclose sustainability information. This study examined the reporting behaviour of the 50 largest companies in nine CEE countries and two WE countries in order to investigate the practice and divergence of sustainability reporting in CEE countries. Reporting on corporate social responsibility (CSR) has broadened widely within the last decade. A great deal of research on sustainability reporting (SR) has focused on American and Western Europe companies. Only fragmentary studies exist that compare reporting patterns of CEE countries. There is substantial room for investigating how and to what extend companies in CEE disclose sustainability information. This study examined the reporting behaviour of the 50 largest companies in nine CEE countries and two WE countries in order to investigate the practice and divergence of sustainability reporting in CEE countries. The Journal of East European Management Studies aims to promote dialogue and cooperation among scholars seeking to examine,explore and explain the behaviour and practices of management within the transforming societies of Central and Eastern Europe. The theoretical interests of the journal are organisational and management change, Central and East European societies (including those on the fringes of Europe) undergoing processes of transition or transformation, and scientific issues of business, management and organisation that arise in such contexts. The JEEMS aims to attract social scientific contributions from scholars of any nation and region, but particularly wishes to encourageauthors from those countries directly experiencing transformational change. Its potential readership is international, comprising academicsand practitioners with an involvement or interest in the management of change in transforming societies in Central and Eastern Europe.

The transition to sustainable energy is crucial for mitigating climate change impacts. This study addresses this imperative by simulating a green hydrogen supply chain tailored for residential cooking in Oman. The supply chain encompasses solar energy production, underground storage, pipeline transportation, and residential application, aiming to curtail greenhouse gas emissions and reduce the levelized cost of hydrogen (LCOH). The simulation results suggest leveraging a robust 7 GW solar plant. Oman achieves an impressive annual production of 9.78 TWh of green hydrogen, equivalent to 147,808 tonnes of H₂, perfectly aligning with the ambitious goals of Oman Vision 2040. The overall LCOH for the green hydrogen supply chain is estimated at a highly competitive 6.826 USD/kg, demonstrating cost competitiveness when benchmarked against analogous studies. A sensitivity analysis highlights Oman’s potential for cost-effective investments in green hydrogen infrastructure, propelling the nation towards a sustainable energy future. This study not only addresses the pressing issue of reducing carbon emissions in the residential sector but also serves as a model for other regions pursuing sustainable energy transitions. The developed simulation models are publicly accessible at https://hychain.co.uk, providing a valuable resource for further research and development in the field of green hydrogen supply chains.

The construction industry is undergoing a significant transformation due to the increasing influence of digital technology, sustainability requirements, and diverse stakeholder expectations, which highlights the need to update the existing service quality models accordingly. However, the traditional service quality models often fail to address these evolving demands comprehensively. This study systematically reviews 44 peer-reviewed articles to identify the key service quality dimensions and offer clear guidance for future research that can address the complexities of modern construction. The findings reveal that reliability, tangibles, and communication remain the most emphasized dimensions across the reviewed literature, whereas critical areas, such as digital integration, sustainability indicators, and service recovery, are significantly underexplored. This contrast explicitly links the limitations of the classic frameworks to these emerging demands, highlighting their difficulty in accommodating the industry’s growing reliance on real-time data, an environmentally friendly performance, and multi-stakeholder collaboration. Because the construction industry typically contributes 6–10 per cent of the national GDP and underpins wider economic development, inadequate service quality models can propagate cost overruns, productivity losses, and reputational damage across the economy; conversely, improved models enhance project efficiency, and thus support sustained economic growth. This review is limited by its reliance on the Scopus and Web of Science databases, which may exclude relevant regional or non-English studies. Furthermore, many reviewed articles are context-specific, potentially reducing the generalizability of the findings. Despite these limitations, this review offers an evidence-based framework that integrates advanced digital tools, sustainability measures, and diverse stakeholder perspectives. Future studies should demonstrate this framework’s efficacy and applicability in different circumstances.

Canned water is one of the thriving markets in the food and beverage industry. Given the tight competition in this market, realistic analysis in such production lines has become even more attractive for all participating parties. In this paper, we apply a KPI-driven simulation-based approach to a smart production plant of a key player in the European beverage market. The project covers realistic discrete-event modeling and analysis of the system together with the suggested scenario-based optimization for performance improvement. Here, the smart line management system is modeled and re-coded while considering machine characteristics, failures, and their overall influence on the production process. Our proposed optimized scenario demonstrates noticeably better results in all performance indicators when compared to the existing state of the system. The total increment of the production speed reaches up to 45 percent, resource utilization is evenly optimal, and the overall work-in-progress inventory is reduced significantly.