Interprofessional education requires that two or more professionals learn from and with each other to allow effective collaboration and improve health outcomes. Thus far, the interprofessional collaboration of healthcare students might be assessed using the Readiness for Interprofessional Learning Scale (RIPLS), which is currently not available in its Italian version. This study aimed to provide the intercultural adaptation of the RIPLS in Italian (I-RIPLS) and assess its validity and reliability. A two-phase validation study was performed in 2020, using a single-centre approach in students enrolled in the medical degree, physiotherapy, nursing, and dentistry courses at an Italian-speaking university in Albania. The first phase of the study determined the cross-cultural adaptation of the items by involving two translators who followed a forward and backward translation process. In the second phase, a sample of 414 students was enrolled. The preliminary corrected item-total correlations showed that five items did not show significant item-to-total correlations. Even if their deletion was not mandatory for generating a suitable correlation matrix for factor analysis, the advantages of keeping only items contributing to a more stable measurement with a shorter scale represented the rationale for removing items with non-significant item-to-total correlation from the correlation matrix before testing the dimensionality of the I-RIPLS with factor analysis. The answers from the first 50% of responders (n = 207) were used to determine the most plausible dimensionality of the I-RIPLS by employing an exploratory factor analysis (EFA), and the second 50% were used to cross-validate the most plausible dimensionality derived from EFA by employing confirmatory factor analysis (CFA) models. The most plausible dimensionality from EFA, by acknowledging the interpretation of the scree plot, the eigenvalues greater than 1, a parallel analysis, and the previous theoretical dimensions of the tool had two factors with adequate internal consistency. The CFA confirmed the two-factor solutions and the internal consistency for each domain. The I-RIPLS has 14 items with adequate evidence of validity and reliability. Future research should revise the tool for pursuing cross-cultural multigroup measurement invariance.

Objective: The objective of this study is to investigate the impact of years of education and life expectancy on the economic development of the Western Balkan Countries (Southeast Europe). Theoretical Framework: This study considers the impact of exogenous and endogenous theories of economic growth, with a particular focus on the role of human capital (human resources) in driving economic development. Method: We have proposed a panel data regression methodology in which the dependent variable is the GDP per capita. The countries analyzed are covered from 2012 to 2021 and the total number of observations in the panel is 50. This study used secondary data from the WorldBank databases. Findings: The results reveal a positive correlation between the Education Index and Labor Force Participation, while the Gross Enrollment Rate in Tertiary School and Life Expectancy show a negative correlation. Research Implications: The demographic, economic, and educational conditions in the Western Balkan countries required immediate action by policymakers to avoid a situation that cannot be sustained over the medium or long term. The governments of these nations must take action to shift the focus of higher education to a more qualitative approach.

Objective: In the first step, this paper aims to evaluate the tourism efficiency in East European Countries and later to identify factors that can determine the international tourism development in this European Region. Theoretical Framework: This study considers the impact of tourism demand on economic productivity (efficiency), with a particular focus on the role of sustainable tourism in driving economic development. Method: An input-oriented Data Envelopment Analysis model with a constant return to scale was applied for 6 years from 2014 to 2019 focusing on 22 countries in the area (except Kosovo due to lack of data) to estimate efficiency scores for each country. In the second stage, a Tobit Regression Model was used to stress the role of some characteristic factors influencing the efficiency of the international tourism industry. Findings: This study points out the greater attention of public and private institutions toward sustainability tourism (SDG target 8.9) associated with some factors such as environmental pollution (SDG target 3.9), friendly environment urbanization (SDG 11), educational level of the population (SDG 4), and tourism seasonality. Research implications: The study indicates that most East European Countries run inefficiently. Productivity is low, and efficiency needs to be improved in terms of capital- and labor production implementing consistently sustainable development principles.

This paper aims to evaluate the determinants of international tourism demand in Albania following the existing literature and particulars of the tourism sector in Albania using Dynamic Panel Data from 2011 to 2019. The analysis is conducted on the sample of 20 countries of origin using the Two-Step GMM Model. The analysis highlights the importance of word-of-mouth effect in the tourism industry in Albania marked at the same time by inferior goods and services, as defined by the microeconomic theory. While on the one hand, tourism becomes very useful in terms of social cohesion (converging familiars and relatives), on the other hand, it can support better the general economic development. At the same time, this study underlines the relative importance of Government Spending. The National strategy on tourism must look not only at the tourism demand quantity but mostly at the sustainable and greater added value tourism segments.

Objective: The objective of this study is to investigate the impact of years of education and life expectancy on the economic development of the Western Balkan Countries (Southeast Europe). Theoretical Framework: This study considers the impact of exogenous and endogenous theories of economic growth, with a particular focus on the role of human capital (human resources) in driving economic development. Method: We have proposed a panel data regression methodology in which the dependent variable is the GDP per capita. The countries analyzed are covered from 2012 to 2021 and the total number of observations in the panel is 50. This study used secondary data from the WorldBank databases. Findings: The results reveal a positive correlation between the Education Index and Labor Force Participation, while the Gross Enrollment Rate in Tertiary School and Life Expectancy show a negative correlation. Research Implications: The demographic, economic, and educational conditions in the Western Balkan countries required immediate action by policymakers to avoid a situation that cannot be sustained over the medium or long term. The governments of these nations must take action to shift the focus of higher education to a more qualitative approach.

Reflections on the factors that influence the delocalization of Italian companies to other countries, arising from a rapidly changing world economy, offer invaluable insight into companies facing similar tough choices. Usually, this decision is attributed to economic, fiscal, and institutional factors. This article examines the process of delocalization of Italian enterprises and empirically verifies the main factors which influence the delocalization of Italian enterprises to East European Countries. The results suggest that “labor market regulation”, “business regulation”, and “size of government” or better said, the labor cost the host country, is the main incentive of Italian enterprises to delocalize their production. Empirical results also show that institutional factors such as “rule of law”, “control of corruption”, “political stability”, and “broadband infrastructure” have a positive and significant correlation with the delocalization of Italian enterprises to the East European Countries. The results in this case suggest that Italian companies are looking for an environment in which the state knows how to enforce their own rules, but also a state that is somewhat “corruptible”.