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“Kidfluencer” is a relatively new term and refers to where young people actively exert influence on lifestyle and consumer behaviour through the use of social media. This study focused on capturing the complexities of this phenomenon, and issues of concern for policymakers that subsequently occur.

The study used semi-structured interviews to capture the retrospective experiences of ten young people as “kidfluencers” on the social media platforms, Facebook, Instagram, TikTok and YouTube.

The findings identified several issues associated with being a kidfluencer, such as affecting individuals’ work-life balance, their education, how safe they felt online and physically, how they maintained friendships, pressure to increase their profile and their mental health well-being. Overall, the study suggests that kidfluencing has specific negative effects on kidfluencers and their childhood experiences, which should be of concern to policy makers.

All participants were above the age of eighteen. Therefore, their contributions reflect upon their past, rather than speaking about their recent experiences, which can lead to retrospective bias. The sample size is small, reflecting the difficulties in accessing this sensitive area for study.

The study provides support for the decision taken in France to introduce legislation that protects kidfluencers, which may suggest a need for legislation in other countries.

The study is relevant in the context of the new law adopted by the French National Assembly in 2020 to provide a legal framework for the activities of child influencers on a range of online platforms. To date, France is the only country where such laws have been enacted. So far, there has been no specific evaluation of this law, and very little research on welfare issues experienced by kidfluencers themselves, making this study timely.

This research aims to examine how decision-makers’ demographic traits affect the integration of foreign workforce into Tirolean (Austria) companies. With continuous world migrations, Tirol experiences a great inflow of foreign workforce. While integrating into the workforce, the foreign workers interact with various decision-makers whose demographic traits (e.g., age, gender, nationality) potentially influence the success of the integration process. To gather data on the integration levels of a foreign workforce, the author conducted a questionnaire. Furthermore, several statistical analyses were run to determine if the relationship between demographic characteristics and integration success exists. The study reveals that demographic characteristics influence decision-makers’ acceptance of expatriates, as well as their recruitment, integration, and training and development outcomes. The empirical results indicate the strength of relationships identified through analyses. The study is limited to geographical, as well as the scope of the sample size, as the data are obtained from Tirol only. In addition, the results from the study serve as a basis for future discussions and research.

This study aims to examine the impact of halal tourism governance on halal tourist satisfaction by using halal tourism branding as a mediating role to increase tourist satisfaction.

Data is obtained through a questionnaire completed by 400 tourists who have traveled to visit halal tourism destinations on Madurese Island. The collected research data is tested by using partial least squares structural equation modeling (PLS-SEM).

The study revealed that halal tourism governance has positive and significant impact on halal tourist satisfaction and halal tourism branding. The study also revealed that halal tourism branding has no positive and significant impact on halal tourist satisfaction because the community thinks that halal tourism branding is common and commonplace.

This research is on an Island-specific halal tourism destination, which means that the findings cannot be generalized to other geographical areas which have diverse cultures.

The study provides insight into halal tourism and destination governance, which is important for marketers, the Ministry of Tourism and local tourism officials to support halal tourism.

This paper fills a gap by presenting the first comprehensive overview of halal tourism governance that enhances ongoing discussions in the halal tourism field.

The objective of this study is to reevaluate the correlation among pharmaceutical consumption, per capita income, and life expectancy across different age groups (at birth, middle age, and advanced age) within the OECD countries between 1998 and 2018.

We employ a two-step methodology, utilizing two independent approaches. Firstly, we con-duct the Dumitrescu-Hurlin pairwise panel causality test, followed by Machine Learning (ML) experiments employing the Causal Direction from Dependency (D2C) Prediction algorithm and a DeepNet process, thought to deliver robust inferences with respect to the nature, sign, direction, and significance of the causal relationships revealed in the econometric procedure.

Our findings reveal a two-way positive bidirectional causal relationship between GDP and total pharmaceutical sales per capita. This contradicts the conventional notion that health expenditures decrease with economic development due to general health improvements. Furthermore, we observe that GDP per capita positively correlates with life expectancy at birth, 40, and 60, consistently generating positive and statistically significant predictive values. Nonetheless, the value generated by the input life expectancy at 60 on the target income per capita is negative (−61.89%), shedding light on the asymmetric and nonlinear nature of this nexus. Finally, pharmaceutical sales per capita improve life expectancy at birth, 40, and 60, with higher magnitudes compared to those generated by the income input.

These results offer valuable insights into the intricate dynamics between economic development, pharmaceutical consumption, and life expectancy, providing important implications for health policy formulation.

Very few studies shed light on the nature and the direction of the causal relationships that operate among these indicators. Exiting from the standard procedures of cross-country regressions and panel estimations, the present manuscript strives to promote the relevance of using causality tests and Machine Learning (ML) methods on this topic. Therefore, this paper seeks to contribute to the literature in three important ways. First, this is the first study analyzing the long-run interactions among pharmaceutical consumption, per capita income, and life expectancy for the Organization for Economic Co-operation and Development (OECD) area. Second, this research contrasts with previous ones as it employs a complete causality testing framework able to depict causality flows among multiple variables (Dumitrescu-Hurlin causality tests). Third, this study displays a last competitive edge as the panel data procedures are complemented with an advanced data testing method derived from AI. Indeed, using an ML experiment (i.e. Causal Direction from Dependency, D2C and algorithm) it is believed to deliver robust inferences regarding the nature and the direction of the causality. All in all, the present paper is believed to represent a fruitful methodological research orientation. Coupled with accurate data, this seeks to complement the literature with novel evidence and inclusive knowledge on this topic. Finally, to bring accurate results, data cover the most recent and available period for 22 OECD countries: from 1998 to 2018.

Blockchain is an innovative and emerging technology that allows the structuring of open data in a secure and decentralized manner. This technology, coupled with artificial intelligence (AI), is a driver of digital transformation that permeates all sectors of the economy. In this context, it becomes relevant to understand the applicability of AI and blockchain in education, more specifically their use in higher education. Thus, the following problem arises: how can blockchain technology and AI be applied to higher education? To answer this problem, the following objective was set: to map by means of a scoping review how AI and blockchain can be applied in education as a technology for higher education. To this end, a bibliometric search was conducted in the Web of Science (WoS) and Scopus databases, adopting the PRiSM methodology for scoping review. The results showed that blockchain and AI can be used in higher education through a smart contract that serves to motivate teamwork and student involvement in activities performed in the school context and also to increase machine reliability by establishing a chain of information. It is also concluded that these technologies will help form a generation ready to work in a more collaborative way, adopting attitudes of sustainability in its local and global context for solving complex problems of everyday life in the 21st century.

Work environments are undergoing a transition and COVID-19 accelerated this change. Prior studies have associated various physical, digital and social work environment elements with occupational well-being. However, holistic approaches to the social work environment to compare the effects of the different elements have received less attention. The purpose of this study is to examine the relationship of various social work environment elements with hybrid worker well-being. The findings help organizations design their work environments and cultures for the post-COVID era.

The study builds on a quantitative survey with 1,057 respondents. The respondents were randomly selected, the answers were anonymous and the results were based on regression analysis.

The analysis indicated that working methods and practices, leadership and management practices, organizational communality and social interaction associate with hybrid worker well-being. Organizational values, reward systems and organizational structures yield no association with hybrid worker well-being.

The value of this paper is in that it investigates elements of the social work environment, presents a research model that examines the relationship of social work environment elements with hybrid worker well-being and provides new empirical data on their implications in a comparative manner.