Europe is in the middle of an energy crisis, exacerbated in large part by skyrocketing gas costs. Renewable energy is critical in this environment for decreasing Europe’s reliance on imported energy; boosting renewables in Europe requires a ‘New Energy Compact’—a coordinated effort throughout Europe to build more renewable energy capacity. The purpose of this research is to examine the structure of renewable energy production in Romania between 2010 and 2020, as well as the green employment produced by the renewable energy sector in Romania between 2010 and 2019. Using the Markov chain approach, it was predicted that in 2025, the hydropower industry’s employees would account for the biggest proportion of the overall average number of workers engaged in the renewable energy production sector in Romania (74.68%). Solar energy production employees will account for 14.31% of the average number of workers in the renewable energy production sector, biomass energy production employees will account for 5.8%, and wind energy production employees will account for 5.2% of the average number of workers in the green energy sector.

This article presents a bibliometric analysis of scientific publications investigating technological megatrends at the societal level, through the parallel analysis of 549 documents from Scopus and 291 documents in Web of Science (WoS) using the VOSviewer software and the Excel component of the MS Office 365 package. The main purpose of this study was to obtain an overview of the evolution of the research on the subject of technological megatrends from the perspective of interest, domains, geographical areas, sources, authors and cocitation networks, research clusters of countries, and cluster-related concepts. The results showed that publications on technological megatrends started in 1982, but from a scientific point of view they started in 1983 (Scopus) and 1984 (WoS), and that they display an increasing trend after 2010. Technological Forecasting and Social Change, Nature, SAE Technical Papers, VDI Berichte, Harvard Business Review, Advances in Intelligent Systems and Computing, and Sustainability represent the most important sources, and Gibbs, Kraemer, Dedrick, Kim, Chmiela, Sauceda, Müller, Tkatchenko, Pratt, Sarmiento, Montes, Ogilvie, Marcus, Perez, Brownson, D. Mourtzis, M. Doukas, and Bernidaki are the most notorious researchers in the field. At the societal level, technological megatrends are closely related to foresight, globalization, industry 4.0, the internet of things, digitalization, technology, artificial intelligence, innovation, the future, and sustainability. This study is original and useful for researchers in the context of the lack of similar studies on this subject.

In terms of sustainability, traditional disclosure does not provide the necessary information to all stakeholders, mainly addressing the company’s shareholders’ expectations. As a result, organisations need to disclose more non-financial information, which implies social and environmental issues. Many organisations currently provide sustainability reports in addition to the annual management reports containing financial and economic data. Several studies have focused on adopting practices and tools in the sustainability area and their overlap with traditional managerial techniques and tools. Nevertheless, integration involves a harmonising process, compatibility and alignment between different management practices. This study aims to assess the impact that the inclusion of sustainable reporting practices in corporate management reports has on economic performance, and to support filling the gap in the specific literature by proposing an integrated reporting model achieved through a harmonising process, compatibility and alignment.

The pandemic crisis has meant a challenge for SMEs and a factor that can change the way of doing business. The current paper analyses the correlations between financial resources, turnover, sustainability, and digital technologies and how these components can be adapted to changes in the economy triggered by the pandemic crisis in the structure of activities carried out by SMEs. Resting on the importance of integrating the innovative, digital component to the activities of SMEs, in close connection with the financial resources component, a multicriteria research model for business has been developed, assessing the correlations between key variables and their influence on European SMEs. In order to fully define the concepts envisaged and to emphasise these correlations, multiple linear regression, clustering techniques, and correlation analysis were used. In the end, the proposed solution provided a common language through which companies can evaluate traditional processes and bring together the research components into business activities.

In an era marked by rapid technological advancements, the relationships among organizational digitalization, innovation, and sustainability are receiving growing academic and managerial attention. This paper employs bibliometric analysis to examine the scientific literature on these interconnected terms, based on 775 relevant publications retrieved from the Web of Science database and analyzed using MS Excel, Bibliometrix, and VOSviewer software packages. The findings reveal a rapid increase in research on digital transformation and sustainability since 2017, with key themes including Industry 4.0, artificial intelligence, blockchain, and circular economy. However, the analysis also highlights notable conceptual fragmentation, emphasizing the need for a more integrated theoretical framework, especially in fields such as performance measurement and corporate social responsibility. From a practical standpoint, the study identifies research gaps—including CSR alignment, SME digitalization, and evaluation metrics—where organizations and policymakers continue to face challenges. These findings can support targeted capacity building, policy development, and strategic research funding aligned with sustainability-oriented innovation. By synthesizing key patterns from the literature, this study contributes to a deeper understanding of how digital transformation drives sustainable innovation, while suggesting several directions for further investigation in both academia and practice.

Artificial intelligence (AI) is a key driver of the energy transition and sustainable economic development. However, the specific mechanisms through which AI adoption impacts renewable energy production versus consumption remain poorly understood. This study addresses this research gap by empirically analyzing how three AI dimensions (investments, readiness, and projects) differently influenced renewable energy production and consumption across 30 countries (EU-27, USA, China, and UK) during 2020–2023. Additionally, the AI–energy transition nexus is analyzed in relation to economic development (GDP per capita) and carbon emissions (CO₂). Employing robust regression, Gaussian graphical modeling, and cluster analysis, the study provides robust multidimensional validation. Empirical findings reveal that AI investments predominantly stimulate renewable energy production, while AI readiness and institutional ecosystems primarily drive renewable energy consumption. The following two country clusters emerge: advanced economies (USA, China, Germany, UK, and France) characterized by higher AI readiness and superior green-energy integration, and developing economies with significant catch-up potential. The study demonstrates AI’s dual role as both direct determinant and systemic mediator in the energy transition. Moreover, CO₂ emissions show an asymmetric role, being positively correlated with renewable energy production but negatively linked with renewable energy consumption. These insights highlight the need for targeted policies that bridge economic and technological divides, thereby accelerating the renewable energy transition and enriching academic debates on technology-driven sustainability.