Customer engagement has emerged as a vital component in social media marketing strategies, prompting considerable interest from both marketers and academics. This study investigates customer engagement (CE) in a framework that includes three antecedents and a main outcome (loyalty). Based on the survey method, we test a proposed model on social media users. The data analysis focuses on exploratory and confirmatory factor analyses, as well as structural equation modeling to test the hypotheses, and a multi-group analysis. The results validate CE as a multidimensional construct and support all hypotheses of the conceptual model. As key contributions, the study reveals involvement as the strongest antecedent of customer engagement and emphasizes the importance of CE in predicting and fostering customer loyalty. This paper adds to the existing body of knowledge on customer–brand relationships by establishing the main drivers for customer engagement in digital settings, with valuable theoretical and practical perspectives. Finally, our findings provide managerial recommendations on the development of social media marketing strategies conveyed to enhance customer engagement.

The tourism industry has been gravely affected by the COVID-19 pandemic. In this context, the purpose of this study was to explore residents’ support for sustainable tourism development in an integrative model that considered well-established factors and the impact of the COVID-19 pandemic. Addressing various research gaps caused by the pandemic, this study aimed to examine a model based on eight hypotheses. Using the premises of a cross-sectional study, data was gathered from residents from Sibiu. Data analysis implied various steps to provide an accurate understanding of the hypotheses and the model was developed based on structural equation modeling. Considering the results of hypothesis testing, our study reconfirmed the applicability of social exchange theory in describing residents’ attitudes toward tourism development and positioned quality of life as an important predictor for this construct. Also, the outcomes highlighted a negative relationship between the host community’s perceptions of the coronavirus pandemic and their subsequent support for sustainable tourism development. Overall, the results focused on offering contributions for a better understanding of residents’ behavior and the influence of the COVID-19 outbreak on their support for sustainable tourism development. The conceptual and practical ramifications of the study were addressed in the article’s conclusion.

The primary goal of this study was to determine the impact of mergers and acquisitions (M&A) and the environmental, social, and governance (ESG) sustainability scores of companies. In this regard, efforts to measure and analyze the evolution of a company’s performance, taking into account financial and non-financial measures using a score function, are adapted to the pharmaceutical sector. The sample consisted of 100 leading pharmaceutical companies, ranked by stock market capitalization, who registered 30% (n = 492) of the total M&A transactions over the study period (2010–2020). There was a direct and positive link between the M&A process and the evolution of company performance. The ESG score, as an indicator for measuring sustainability, has a positive and direct impact on company performance, indicating that a high ESG score determines an increase in company performance. A similar impact is identified for companies involved in M&A processes, meaning that companies in the pharmaceutical sector tend to register a performance improvement.

This study aims to test the correlation between the effects, effort and efficiency of health expenditure in the European Union and Human Development Index (HDI). Although we observe a correlation between HDI, effects and effort in the health system, however, HDI is not correlated with the health system efficiency calculated as the ratio between effect and effort. This aspect shows that the elasticity of the effects of health system reported on the financial allocation (effort of the health system which is expressed as a percentage of GDP) decreases, as the increase of financial allocation in GDP.

The problem of tax policy design has been an important concern over the years, involving comprehensive scientific research. In this study, our major goal was to examine and map the optimal taxation research thematic structure by using bibliometric analysis. The analysis was carried out with the CiteSpace software on publications indexed by Web of Science (WoS) between 1975 and 2021. This document offers an actual bibliometric analysis of the current research climate in terms of optimal taxation, based on the following aspects: (1) descriptive characteristics of publication outputs (distribution by years, authors, countries, journals); (2) collaboration analysis of authors, institutions, and countries; (3) co-citation analysis of cited journals, cited authors, and cited references; and (4) keywords’ co-occurrence analysis. We constructed a knowledge map about optimal taxation research to provide a wide visual brief of the actual research in the domain of optimal tax policy. The current study adds knowledge by presenting the state of the art of the most significant studies published in the field of optimal taxation research.