This research delves into the correlation between institutional quality and tourism development in a panel of nine Mediterranean countries within the European Union spanning from 1996 to 2021. The study gauges tourism development by examining tourist arrivals, while considering GDP growth rate, inflation, higher education, environmental quality, and trade as control variables representing factors influencing tourism. Institutional quality is measured through indicators such as regulatory quality, rule of law, and control of corruption. Utilizing Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models, the study aims to quantify the impact of these factors on tourism development. The findings indicate a positive relationship between institutional quality and tourism, shedding light on the pivotal role of institutions in tourism management and their influence on the sector. These results have implications for shaping national development strategies.

This paper discusses the use of workforce ecosystems to manage human intellectual capital. The need for work ecosystems has emerged in the digital age because of the rapid growth in the number of engaged partners and freelancers in the digitalization of enterprises. It is shown that this growth is directly related to the use of agile management systems in design and development: agile, DevOps, microservice architecture, turquoise practices, etc. The information systems needed to manage workforce ecosystems should have competency-based metrics to link business needs, recruitment and training, and finding new partners. At the same time, training should be prioritized over recruitment and the search for new partners in the context of staff shortages. When automating workforce ecosystems, a platform approach should be used to integrate both corporate HR, time and business process management systems, and similar systems from partners.

Ostensibly, theories from the eastern and western worlds have emphasized different aspects of character, while in India, greater importance is attached to character building. We must understand that character building establishes surroundings for the human being with distinct values and virtues persisting inside him. This study attempts to explain the importance of the character merits of young managers in mitigating volatile, uncertain, complex, and ambiguous (VUCA) challenges encountered in a business journey. This scholarly effort, with a framework of being reflective and expressive, attempts to capture empirical and qualitative data, hence presenting a model and explaining the connection between the character of young managers and VUCA. The authors initially mine on what character implies and how it could be plausibly examined. Character, as a manifestation, is qualitatively distinguished as a sum of one’s bent of mind, embracing the brighter part of good qualities and consolidating a frame to capture the countenance of a genuine personality. We must understand that for organisation’s growth and sustainability, it is vital for the human resources department to maintain a training methodology that is systematic and focused on character building.

This research aimed to explore the concerning characteristics of information literacy in the physical education faculty of higher education institutions in Yunnan Province. This study provides a systematic meta-analysis of 33 peer-reviewed papers from 2019 to 2023. It discusses that information literacy includes basic research skills, critical thinking, and problem-solving, which include their application in the learning process. The paper describes some approaches that can be used to implement information literacy into teaching and learning, including courses with learning objectives, learner-centered approaches, and institutional support. The study also explored technology and its relation to adopting competencies for the growing technologies’ evolution within the region’s education sector. In addition, the following factors could have enhanced the process: time constraints, differences in discipline, and variations in the usage of information technology. The results indicate the need for context-specific professional learning and policy intervention to facilitate the practice of physical education faculty in Yunnan. The information collected here serves as the framework for effective regional policies regarding education, curriculum, and teacher training, among other related aspects.

Many financial crises have occurred in recent decades, such as the International Debt Crisis of 1982, the East Asian Economic Crisis of 1997–2001, the Russian economic crisis of 1992–1997, the Latin American debt Crisis of 1994–2002, the Global Economic Recession of 2007–2009, which had a strong impact on international relations. The aim of this article is to create an econometric model of the indicator for identifying crisis situations arising in stock markets. The approach under consideration includes data for preprocessing and assessing the stability of the trend of time series using higher-order moments. The results obtained are compared with specific practical situations. To test the proposed indicator, real data of the stock indices of the USA, Germany and Hong Kong in the period World Financial Crisis are used. The scientific novelty of the results of the article consists in the analysis of the initial and given initial moments of high order, as well as the central and reduced central moments of high order. The econometric model of the indicator for identifying crisis situations arising considered in the work, based on high-order moments plays a pivotal role in crisis detection in stock markets, influencing financial innovations in managing the national economy. The findings contribute to the resilience and adaptability of the financial system, ultimately shaping the trajectory of the national economy. By facilitating timely crisis detection, the model supports efforts to maintain economic stability, thereby fostering sustainable growth and resilience in the face of financial disruptions. The model's insights can shape the national innovation ecosystem by guiding the development and adoption of monetary and financial innovations that are aligned with the economy's specific needs and challenges.