When addressing the ever-increasing role that social media plays in generating a clear image of the travel destination chosen by tourists, the research and specialty literature tends to be rather limited. Despite an increase in social media-generated content, the process is not yet fully understood, although research suggests the importance of two different factors (i.e., tour-operator-generated content and user-generated content) in influencing destination image formation. In this regard, the present paper aims to examine the most significant factors currently affecting the potential behavior of travelers towards the selection of sustainable destinations. What is more, another purpose of this paper is to explore the effects that tour-operator-generated content and user-generated content have upon the formation of the overall mediating destination image through cognitive and affective destination images. For the current analysis, a structural equation modeling (SEM) method was used in order to test the conceptual model. Data from Shanghai, China (n = 425) were used. The results demonstrate and establish that travel information sources (i.e., tour-operator-generated content and user-generated content) have a positive effect on destination image formation. The analytical results also revealed that in order to select a sustainable destination, travelers are influenced by tour-operator-generated content, as well as by user-generated content, with the effect of the latter being more important and influential. Travelers’ use of social media content has played a key role in the formation of the overall destination image through the mediating effect of cognitive and affective destination images. This research thus provides valuable theoretical and practical implications for academics and practitioners alike, implications which are valuable for the fields of destination marketing and management. Furthermore, practitioners of the management of sustainable destinations can thus make use of the results throughout the entire decision-making process.

When traditional financial institutions faced difficulties in the task of assisting micro, small and medium-sized enterprises (MSMEs) with capital allocations, crowdfunding can upsurge as an innovative and vibrant vehicle that can support and assist the activity of such MSME’s, by financing their activity and instrumenting the process of risk-sharing. Simultaneously with its enormous growth and popularity, crowdfunding is faced by several key challenges, one of biggest such challenges referring to the problem of information asymmetry that can exist between fundraisers and potential backers. Based on the signaling theory, a research taxonomy has been developed for a comparative analysis between China and the UK. This has been accomplished by retrieving secondary data from the following crowdfunding platforms: Dreamore (Chinese platform) and Crowdfunder (UK platform). The objective of the study is to investigate both the effect and the impact that signals (goal setting, project comments and updates) have upon mitigating the problem of information asymmetry, in order to make the project successful. We have thus deployed an Ordinary Least Square (OLS) regression and validated the models through a robustness check. The findings reveal that signals actively mitigate the problem of information asymmetry in both countries, but this varies in the sense that higher goal setting has a more positive/impactful relationship with project success in the UK than it does in China. Project comments are more positively associated with project success in China as compared to the UK, whereas project updates are more negatively related to project success in China as compared to the UK. These findings demonstrate the importance that signals have upon successful crowdfunding activities/campaigns, highlighting the theoretical and practical influence and relevance for potential fundraisers in the two aforementioned economies.

The decisive role of the knowledge-based economy, and the importance of the ventures fostering the use of innovation and incorporating knowledge, high technology and creativity are nowadays worldwide recognised, even more so considering that the EU is in a permanent search for innovation as a source of and for competitiveness. Knowledge Intensive Business Services (KIBS) are expected to play a key role in the knowledge-based economy as a source of innovation and knowledge in production, dynamic hubs in knowledge-related networks, or intermediaries of innovation between the manufacturing sector and suppliers, partners and final consumers. Within this context, in the present paper we aim to investigate the complex relation between the knowledge intensive business services (KIBS) and the imperative of fostering the economic activity, both of the entrepreneurial dynamics and their macroeconomic effects. The analysis, performed at EU level, leads to interesting results, revealing a complex but contradictory relation between KIBS and economic activity, which is measured by the following main indicators: entrepreneurial density and macroeconomic dynamics.

Cities are one of the main factors influencing the economic development and prosperity of societies. Smart cities, fueled by innovation and the Internet of Things, are built on three pillars - improving the residents’ quality of life, business competitiveness, and ensuring a sustainable environment. When applied within the six urban areas: economy, mobility, security, education, living conditions, and environment, cities can much faster make the transition to smart cities. The term smart city is often associated with the desire for accelerated modernization of various spatial and urban social interactions, the term “smart city” often being fuelled by technological developments. Proof of this are the terms used to define the same concept: “digital city”, “e-communities”, “intelligent city”, “e-City”, “wired city”. However, a smart city is called upon to respond to the needs of cities and societies alike to approach challenges in a novel and creative manner. The motivations for transforming existing cities into smart ones are obvious and straightforward. They come on one hand, from the threats of current demographic phenomena (population growth, migration, public health, safety, and living conditions), and also from the opportunities of solutions that can be brought by technological developments and innovation, transformations of generations (new “Digital” generations), and civic involvement (participation and inclusion) in the management of modern cities. Thus, the meaning associated to the name of the smart city does not only overlap with the idea of modernization and expansion, but also wants to combine, simultaneously, competitiveness and sustainable urban development. In the present study, by building upon a European vision as regards the development of smart cities, we have attempted to build an image of the European envisioned smart city, which is to be planned out and sought after through a series of strategic partnerships for innovation. Not only is the European vision detailed, but Romanian specific urban development and smart city tendencies shall also be briefly analyzed in this paper.

The term smart city is often associated with the desire for accelerated modernization of space and urban social interactions, especially based on Information and Communications Technologies. Smart cities are creative and sustainable areas that bring improvements on the quality of life, a friendlier environment and where the prospects of/for economic development are stronger. Such cities are to be considered as the sum of the various improvements in urban infrastructure, the quality of services provided to citizens, the operational costs of public administration. Romania has several key cities that have begun their pivot from regular and only digitized cities, to smart cities. According to information from the Romanian Smart City Association (ARSC), in 2018, at Romanian national level, 24 cities could be considered smart, the following cities being most visible in terms of how many projects have been undertaken so as to develop a smart city: Alba Iulia city has 60 such projects, Cluj-Napoca city has 10, Arad has 9, Sibiu and Oradea each have 8 projects, and Bucharest has started six such projects. At 2020 level, we notice an increase in the number of projects in the following way: Alba-Iulia now has 106 projects, Cluj-Napoca has 54 projects, Timisoara 26, Arad and Iasi have each 19 projects, Brasov and Bucuresti (Sector 4) have 18 projects each, Oradea 17, Sibiu 15, and Piatra Neamț 15 projects. The main areas of interest being Smart Mobility, Smart Governance, Smart Living, Smart Economy, Smart Environment, and Smart People. Having set goals of cutting energy costs by 30% in the field of public transportation and an increase of 45% in terms of innovation products that are to be sourced locally, the city of Oradea has attracted project worth 369 million euros, and this entire sum has been achieved through EU funded grants.

National education strategies increasingly function not only as administrative planning instruments but also as economic signaling devices, communicating priorities, institutional credibility, and expected behavioral responses to citizens, firms, and international partners. This study conducts a computational text analysis of Romania’s two flagship policy documents governing adult learning in the 2024–2030 period: the National Strategy for Continuing Adult Education (SNECA) and the National Strategy for Financial Education (SNEF). Using Valence Aware Dictionary and sEntiment Reasoner sentiment analysis and the Gunning Fog readability index, the study evaluates whether these strategies are linguistically aligned with their stated economic and social objectives: increasing adult participation in lifelong learning, improving financial literacy, and supporting Romania’s convergence with European human-capital benchmarks. The study contributes to the economics of education literature by integrating natural language processing tools into policy evaluation, moving beyond outcome indicators toward ex ante institutional communication quality. Results (to be computed empirically) are expected to show a structurally positive but institutionally dense sentiment profile, paired with high readability complexity, reflecting a tension between European alignment and domestic accessibility. The findings have implications for policy effectiveness, labor-market responsiveness, and inclusive growth strategies in emerging European Union economies.