In today’s competitive and globalized world, innovation is essential for organizational survival, offering a means for companies to address environmental impacts and social challenges. As innovation processes accelerate, managers need to rethink the entire value-creation chain, with digital transformation emerging as a continuous process of organizational adaptation to the evolving societal landscape. The research question focuses on how digital technologies—such as artificial intelligence, Big Data, cloud computing, industrial and service robots, and the Internet of Things—influence innovation-driven revenues among enterprises within the European Union (EU). The paper examines, using neural network analysis, the specific impact of each digital technology on innovation revenues while exploring how these technologies affect various types of social innovation within organizations. Through cluster analysis, the study identifies patterns among EU countries based on their digital technology adoption, innovation expenditures, and revenues and the proportion of enterprises engaged in innovation activities. The findings highlight the central role of digital technologies in enhancing innovation and competitiveness, with significant implications for managers and policymakers. These results underscore the necessity for companies to strategically integrate digital technologies to sustain long-term competitiveness in the rapidly evolving digital landscape of the EU.

In an era characterized by rapid changes and uncertainty, organizational resilience emerges as a critical factor for the survival and prosperity of businesses. Confronted with a progressively volatile and unpredictable organizational landscape, an organization’s capacity to swiftly and effectively address challenges and adapt to changes becomes indispensable. This paper investigates the role of strategic human resource management (SHRM) practices and organizational culture (OC) in enhancing organizational resilience (OR). The research employed a questionnaire distributed to 501 employees within public institutions, with data analysis conducted using structural equation modeling. The study assesses the direct effects of SHRM practices on organizational resilience while also investigating the mediating effects of organizational culture on the relationship between these practices and resilience. The primary findings highlight both the direct and indirect impacts of SHRM practices on organizational resilience. The study underscores the importance of adopting an integrated approach, wherein SHRM practices and organizational culture are strategically aligned to bolster organizational resilience and secure sustainable success in a dynamic and turbulent organizational landscape.

The pandemic caused by the SARS-CoV-2 virus (COVID-19) has significantly affected the tourism industry. Tourist destinations have adopted emergency measures and restrictions that have affected the mobility of individuals around the world. Beaches and resorts were empty, cities were deserted, people’s movements were stopped, and travel among different territories was strictly controlled. COVID-19-caused quarantine around the world has harmed people’s livelihoods and the world economy. This study aims to analyze the effects of the COVID-19 pandemic on the tourism industry and overall economic performance. Based on the research results and exploratory research of the literature, we listed in a synthesizing manner several measures to ensure the resilience of the tourism sector during the COVID-19 pandemic period.

Digital transformation generates challenges and opportunities at the individual and organizational levels. Implementing digital technologies impacts all countries’ economic growth and orientation toward sustainability. This paper aims to evaluate the effects of digital transformation on the economic performance and sustainability of European Union (EU) countries. The paper employs artificial neural network analysis, structural equation modeling, and cluster analysis to investigate the relationships among digital transformation, economic performance, and sustainability. Economic performance is measured using GDP per capita, while SDG scores represent sustainability. The use of computers and the Internet in enterprises, the volume of e-commerce, and the percentages of implementing new digital technologies, such as cloud computing, Big Data, and the Internet of Things, illustrate digital transformation. The research findings reveal the extent of digital transformation in each country and the significant influence of digital transformation on economic performance and sustainability. The main drivers of digital transformation are the use of computers and the Internet in enterprises and e-commerce. However, new digital technologies exert increasingly noticeable effects, particularly in developed European countries. This study elucidates the profound implications of digital transformation on economic performance and sustainability. It underscores the pivotal role of digital technologies, especially in advanced European countries, in driving economic growth and sustainability. The results can be helpful to regulators in developing digitization strategies that underpin sustainable economic performance.

Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting productivity while ensuring sustainability and resilience becomes increasingly tangible. The objective of this study is to understand how the adoption of digital technologies influences agricultural productivity within the diverse socioeconomic and agricultural landscapes of EU nations. The research of this study aims to address questions concerning the impact of digital technology use on agricultural productivity across EU countries. This study employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, and cluster analysis. SEM analysis reveals significant associations and influences between digital technology use and productivity related to the total labor force across EU countries. Moreover, cluster analysis outlines distinct clusters of EU member states distinguished by varying degrees of digital technology incorporation and corresponding agricultural productivity, emphasizing the diverse socioeconomic contexts that influence these associations. These findings underscore the significance of embracing digital technology as a catalyst for enhancing agricultural productivity across EU nations. Future research could focus on devising strategies to promote the widespread adoption of digital technologies in agriculture across EU member states, and longitudinal analyses could offer insights into the dynamic relationship between digital technology use and agricultural output, informing policy interventions.

The last decades have seen continuous increases in electronic commerce (e-commerce) and particularly mobile commerce (m-commerce). These sharp increases, especially during the COVID-19 pandemic, have led companies to become aware of the potential of this trade channel. This paper investigates the effects of antecedents on behavioral intention in m-commerce and the role of consumer satisfaction in the buyer decision process. In our investigation, we used the modified technology acceptance model (TAM). The research was conducted through a survey based on a self-administered questionnaire, with the data being analyzed by structural equation modeling and cross-tabulation. Following the investigation, we found that perceived usefulness (PU) and perceived ease of use (PEU) positively influence behavioral intention. Consumer satisfaction also plays a significantly positive role in m-commerce actual use, influencing future behavioral intention. The results also showed that generational and gender differences strongly affect behavioral intention, with younger generations and male respondents being more inclined to use m-commerce.