Economic growth is the mandate of the global economy and with our planet’s population poised to reach 10 billion people, economists are searching for sustainable economic growth approaches that do not increase raw materials consumption nor deplete and damage our environment. This mandate is the heart of the Circular Economy (CE), a challenge to theoreticians and practitioners alike to continue global economic growth, but with fewer resources and protective methods for our environment. The European Union (EU) economies were early adopters of CE and are now demanding similar adoptions from its recently integrated members from the East. Romania is one of the laggard states in this transition, given its heritage and lack of economic sophistication. Our paper identifies the practices and performance of Romanian producers regarding the implementation of the CE principles, so future recommendations can be formulated. In surveying the Romanian firms, we applied a cluster analysis based on their level of green-oriented supply chain cooperation (GSCC) practices. The respondents were grouped into two clusters: “low green-oriented supply chain cooperation (GSCC) scorers” and “high green-oriented supply chain cooperation (GSCC) scorers’. The results suggest that cluster membership partially influence CE practices and fully influence CE-targeted performance.

The purposed longitudinal study analyzes the evolution of students’ Entrepreneurial Intentions (EI) and its antecedents over the COVID-19 pandemic period and explores the inter-individual differences and the intra-individual changes. Our main contribution consists of proposing two-panel estimations techniques: first, a Latent Change Score model (LCS) approach to analyze the stability of our constructs, and second, a Generalized Least Squares (GLS) Random-Effect estimation of a complex network of relationships that we have identified within the Theory of Planned Behavior (TPB) framework. Our empirical results show that students’ EI enrolled in an entrepreneurship education (EE) program increased during the COVID-19 pandemic. Individuals with initial higher scores for EI have changed less than those with lower initial scores, and a gender difference exists in the initial level of EI and its antecedents. Our results also document the moderation effects of entrepreneurial self-efficacy and the importance of inspiration and resources in building students’ EI and provide valuable policy recommendations for universities regarding the design of EE programs to contribute to the economic recovery in the post-pandemic era.

The present paper presents findings of entrepreneurial intentions of a group of 313 undergraduate students of the University of Oradea, Romania, from different non-economic fields of study (engineering, health, social sciences, mathematics, natural sciences, humanities, and arts), including students from rural areas and other disadvantaged groups enrolled in an entrepreneurship education project financed through European Social Fund. A complex mediation chain is set in place in a net of relationships linking the benefits of entrepreneurial education to entrepreneurship self-efficacy, entrepreneurship attitudes, perceived behavioral control, and subjective norms in our estimation of entrepreneurial intentions. Using a multigroup analysis, we address the OECD inclusive entrepreneurship perspective of students ‘at-risk’ on the labor market and under-represented in entrepreneurship, identifying how the benefits of entrepreneurship education can be better capitalized by each category. The present paper advocates the necessity to extend entrepreneurship education outside the economics and business specializations.

Our study introduces an enhanced version of the Importance–Performance Analysis (IPA) method, a powerful tool that can be applied across various domains. This method plays a crucial role in our research, aiding in making well-informed decisions about smart tourism destination attributes. We achieved this by evaluating how 911 consumers from four different generations (Baby Boomers, Generation X, Millennials, and Generation Z) rated these attributes based on their most recent tourist destination visit. Unlike traditional methods that often rely on subjective opinions or complex statistical models, the Improved IPA (IIPA) method offers a clear approach to decision-making. It enables decision-makers to focus on the most crucial attributes that drive consumer interest, thereby optimizing resource allocation and marketing efforts. Specifically, to remain competitive, decision-makers for smart tourist destinations should focus on queuing-time forecast and applications, websites, and content accessible for travelers with disabilities for Baby Boomers; e-complaint handling for Generation X; smart emergency response system for Millennials; and tourist-flow forecast, real-time traffic broadcast, electronic-entrance guard systems, and accessible data about physical design features of accommodation, restaurants, and tourist attractions for Generation Z. Theoretically, this study advances the research on managerial decision-making by demonstrating the effectiveness of the IIPA as a clear and straightforward method for making optimal decisions about product or service attributes. In practice, the study provides decision-makers with valuable insights into the importance of different categories of smart attributes in shaping the overall holiday experience at a tourist destination for Baby Boomers, Generation X, Millennials, and Generation Z tourism consumers.

The Importance-Performance Analysis is a widely used diagnostic tool in many fields of economic activity, such as: transport, health, construction, public food industry, finance, banking, sustainable activities, etc. Despite its use for over 40 years in many economic and social fields, this tool has some important drawbacks that affect the accuracy of managerial decisions. Over time, many variants for improving the standard Importance-performance matrix have been proposed. The aim of our research is to propose a method to solve one of the biggest problems of the standard Importance-Performance Analysis, respectively a method of boosting confidence in the positioning of attributes in the matrix. We use a mathematical method, inspired by classification theory tools, to apply the nine categories division of attributes in the importance-performance plane. Moreover, we introduce a level of confidence in a nine categories Importance-performance matrix, which helps the practitioners to prioritize a decision on attributes, according to the resources, managerial plan, competition, etc. We test and discuss the effectiveness of the new method on two studies: on the green practices in educational restaurant operations and on the financial performance evaluation.

The addition of Generation Z/Centennials to the workplace landscape will bring about new challenges for the management of any organization. To tackle the changing work environment and workforce, we conducted a survey-based empirical exploratory study among students in economics from two universities located in the western part of Romania. Our study proposes an alternative view of the motivational potential, including the feeling of belonging to an organization in work settings. The aim was to explore the potential for the feeling of belonging to play the role of mediator between four distinct career attitudes and the turnover intention in the specific case of Romanian Generation Z members. Additionally, we investigated which variables are significant predictors for the feeling of belonging to an organization. The results indicate that is efficient to invest in creating belongingness for those Generation Z members inclined towards making moves between jobs and organizations (OMPA), for those who present the mental capacity to be mobile (BMA) and for those who can be adaptive in terms of performance and learning demands (SDA). For those Romanian Generation Z members who use their internal values to provide guidance and measure for success, including the feeling of belonging to an organization in work settings seems to be inefficient.