Imagining people’s functions in everyday life and work without the use of ICT, seems difficult. Their application is ubiquitous everywhere, regardless of which aspect it is viewed from, because it has a strong function in ensuring the competitiveness of various systems at the micro and macro levels. Numerous national and multinational strategies try to encourage educational systems to put a greater focus on ICT to more efficiently acquire skills, competencies, and knowledge, which should represent added value to all generations in the future. This article analyzes the progress of the ICT development index (IDI) in Scandinavian countries by comparing these countries in the European region. It is known that the Scandinavian countries belong to that part of the countries that have recognized the importance of involving ICT in education programs, which improves the economy of a certain country. Given this, the research reveals how ICTs play a key role in improving socio-economic development in Scandinavian countries.

In the trend of the 4th Industrial Revolution and the trend of digital transformation, along with the orientation of building ecologically sustainable agriculture, modern countrysides, civilized knowledge farmers, meeting the requirements of international economic integration. More than ever, countries’ agriculture requires human resources from managers to researchers and those directly getting involved in agricultural production that meet the standards of professional qualifications, capacity and quality of work performance. In Vietnam, in terms of resources in the agricultural sector, there is a surplus of manual and simple labor but a shortage of high-skilled workers and lack of good managers and organizers. In terms of policies and laws in the field of agriculture, it is relatively complete when there are 15 laws passed in 4 production sectors: fisheries, forestry, horticulture and animal husbandry. This is an important legal basis to mobilize resources, including agricultural human resources in order to develop the country. However, the legal system on human resource development in the field of agriculture in general and on training, education, compensation and support in particular is still lacking and scattered. Thus, the article focuses on analyzing the current status of regulations and practices of implementing regulations on human resource development in the agricultural sector, thereby proposing corresponding policies and laws in Vietnam in the next time.

Atomic interaction between mediator protein of human prostate cancer (PHPC) and Fe/C720 Buckyballs-Statin is important for medical science. For the first time, we use molecular dynamics (MD) approach based on Newton’s formalism to describe the destruction of PHPC via Fe/C720 Buckyballs-Statin with atomic accuracy. In this work, the atomic interaction of PHPC and Fe/C720 Buckyballs-Statin introduced via equilibrium molecular dynamics approach. In this method, each PHPC and Fe/C720 Buckyballs-Statin is defined by C, H, Cl, N, O, P, S, and Fe elements and contrived by universal force field (UFF) and DREIDING force-field to introduce their time evolution. The results of our studies regarding the dynamical behavior of these atom-base compounds have been reported by calculating the Potential energy, center of mass (COM) position, diffusion ratio and volume of defined systems. The estimated values for these quantities show the attraction force between Buckyball-based structure and protein sample, which COM distance of these samples changes from 10.27 Å to 2.96 Å after 10 ns. Physically, these interactions causing the destruction of the PHPC. Numerically, the volume of this biostructure enlarged from 665,276 Å3 to 737,143 Å3 by MD time passing. This finding reported for the first time which can be considered by the pharmaceutical industry. Simulations indicated the volume of the PHPC increases by Fe/C720 Buckyballs-Statin diffusion into this compound. By enlarging this quantity (diffusion coefficient), the atomic stability of PHPC decreases and protein destruction procedure fulfilled.

The aim of this paper is to introduce a research project dedicated to identifying gaps in green skills by using the labor market intelligence. Labor Market Intelligence (LMI). The method is primarily descriptive and conceptual, as the authors of this paper intend to develop a theoretical background and justify the planned research using Natural Language Processing (NLP) techniques. This research highlights the role of LMI as a tool for analysis of the green skills gaps and related imbalances. Due to the growing demand for eco-friendly solutions, there arises a need for the identification of green skills. As societies shift towards eco-friendly economic models, changes lead to emerging skill gaps. This study provides an alternative approach for identification of these gaps based on analysis of online job vacancies and online profiles of job seekers. These gaps are contextualized within roles that businesses find difficult to fill due to a lack of requisite green skills. The idea of skill intelligence is to blend various sources of information in order to overcome the information gap related to the identification of supply side factors, demand side factors and their interactions. The outcomes emphasize the urgency of policy interventions, especially in anticipating roles emerging from the green transition, necessitating educational reforms. As the green movement redefines the economy, proactive strategies to bridge green skill gaps are essential. This research offers a blueprint for policymakers and educators to bolster the workforce in readiness for a sustainable future. This article proposes a solution to the quantitative and qualitative mismatches in the green labor market.

This study critically examines the multifaceted dynamics of foreign employee integration within the Czech Republic, with a specific focus on the Mladá Boleslav region. Conducted prior to the Ukrainian crisis, this research serves as a crucial baseline for understanding integration in a pre-crisis context and provides comparative insights into the evolving challenges and opportunities amid the subsequent migration movements. The study explores various aspects of integration and inclusion, drawing upon migration theories, economic factors, and sociological perspectives to understand the motivators and challenges faced by foreigners, particularly in light of the majority society’s perception, which often leans towards skepticism and negativity. The research methodology builds on grounded theory and integrates both quantitative and qualitative approaches, utilizing surveys and semi-structured interviews to explore the experiences of foreign nationals, with an emphasis on immigrant women. A key finding of the study is the significant role of employers in facilitating integration. The paper discusses how businesses, through inclusive policies and practices, can profoundly influence the integration experience. Cooperation between employers, local integration centers, and other relevant organizations emerges as vital, providing additional resources and support systems to enhance the integration process. The study concludes by emphasizing the critical role of various stakeholders, particularly employers, in shaping sustainable human resources practices that foster a more inclusive and harmonious society.

Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within the realm of Supply Chain Management (SCM). While the integration of these technologies has promised improved operational efficiency and decision-making capabilities, concerns about complexities and potential overreliance on technology persist. The study aims to provide insights into achieving a balance between data-driven insights and qualitative factors in SCM for sustained competitiveness. Design/methodology/approach: The research executed interviews with ten Arab Gulf-based consulting firms. These companies’ ability to successfully complete BI projects is well recognised. Findings: Through examining the interplay of human judgement and data-driven strategies, addressing integration challenges, and understanding the risks of excessive data reliance, the research enhances comprehension of the modern SCM landscape. It underscores BI’s foundational role, the necessity of balanced human input, and the significance of customer-centric strategies for lasting competitive advantage and relationships. Practical implications: The research provided information for organizations seeking to effectively navigate the complexities of integrating data-driven technologies in SCM. The research is a foundation for future studies to delve deeper into quantitative measurement methodologies and effective data security strategies in the SCM context. Originality: The research highlights the value of integrating BI, BDA, and AI in SCM for improved efficiency, cost reduction, and customer satisfaction, emphasising the need for a balanced approach that combines data-driven insights, human judgement, and customer-centric strategies to maintain competitiveness.