Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia in Greece via a questionnaire survey by using a sample of 360 respondents. The questions focused on the respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), small hydro parks and biomass investments. The classification algorithms of Bayesian Network classifier, Logistic Regression, Support Vector Machine (SVM), C4.5, k-Nearest Neighbors (k-NN) and Long Short Term Memory (LSTM) were used. The Bayesian Network classifier was the best method, with a prediction accuracy of 0.7942. The most important variables for the prediction of willingness to invest were the level of information, the level of acceptance and the contribution to sustainable development. Future studies should include data on state incentives and their impact on willingness to invest.

Cloud computing hastens technology driven innovation by taking advantage of the speed, the cost-effectiveness, the efficiency and the security that such applications offer. By using cloud computing, public organizations can exploit the economies of scale and innovate both efficiency and rapidly. The present study focuses on the factors influencing the adoption of a new technological application within the procedures of change management. It examines the willingness to adopt cloud computing for the case of administrative employees in a higher education institute working environment. A prediction model explores a Ubiquitous cloud computing adoption system (USAS), utilizing the theory of technology acceptance model (TAM) and resulting that end users are welcoming the adoption of the cloud computing. Policy makers should move towards empowering the stakeholders with e-skills to stimulate technology driven innovation, resulting in improvements in effectiveness and efficiency, in the creation of new jobs and in the promotion of sustainable development practices.

In the current dynamic business landscape, digital transformation is recognized as a critical driver of entrepreneurship, innovation, and growth, particularly among small and medium-sized enterprises (SMEs). This study aims to investigate the key factors influencing digital transformation, focusing on their relevance in shaping strategic decisions and fostering innovation. Using a robust methodological approach, data were collected through an online survey, with Likert-scale questions assessing multiple dimensions of digital maturity across companies in various sectors of the Greek economy. The survey, conducted in the first semester of 2024, involved 156 companies from sectors such as retail, communication, technology, and public services, with significant representation from established organizations employing over 250 individuals and reporting annual turnovers exceeding EUR 50 million. The questionnaire items, adapted from existing validated scales, captured aspects such as digital skills, management intensity, business processes, innovation performance, departmental agility, and digital vision. By analyzing the responses, this study identifies critical drivers of digital transformation and highlights their role in guiding strategic decisions, emphasizing the evolving nature of digital entrepreneurship. The findings contribute to the broader discourse on digital transformation, offering actionable insights for organizations aiming to enhance their digital maturity and competitiveness in a rapidly changing global economy.

The digital transformation process gained significant research interest in recent years especially related to achievements in sustainability goals. Even though there exists growing research regarding various aspects of digital transformation and sustainability procedures, a more detailed analysis is needed in different national environments. The proposed study empirically analyzes the Greek managers’ perspective on the relationship between digital transformation intensity and sustainability practices implemented. Almost 156 Greek senior managers from various organizational sectors were interviewed, while a synthetic index already developed from previous studies was used. Results indicate that Greek companies do not fully exploit digital technologies to further develop their environmental practices. A digital transformation strategy contributes effectively to environmental strategies in the case of reducing emissions of waste and avoiding environmental accidents, while in the rest of the cases, emerging technologies play a less important role and not as a part of a holistic digital strategy.

Digital transformation has become a critical priority for small and medium enterprises (SMEs), especially after the pandemic crisis. Despite progress in upgrading their digital maturity, many SMEs still encounter significant challenges in designing and implementing effective digital transformation strategies. This study investigates the factors that shape SMEs’ digital transformation journeys and their digital maturity. A total of 81 academic papers were collected from three databases (ScienceDirect, EBSCO, Scopus) and analyzed using latent dirichlet allocation (LDA) after appropriate text cleaning and preprocessing. The analysis revealed nine key topics influencing SMEs: dynamic and digital capabilities, emerging tech adoption, strategic transformation intensity, digital processes implemented, extrovert opportunities, performance and capabilities, management’s transition to agile structures, digital vision and orientation, and human resources and digital maturity. These topics highlight the technological, organizational, and resource-related complexity of digital transformation for SMEs. The study contributes to existing research by offering a structured view of the digital transformation landscape in the SME ecosystem and proposes a roadmap to help firms navigate this complexity and enhance their performance and efficiency in the digital era.