The article explores the role of digital identifiers DOI and ORCID in modern scholarly communication. DOI ensures permanent access to publications, eliminating confusion in citations and promoting research reproducibility. ORCID enables the unambiguous identification of researchers, increasing transparency and accessibility of their scientific achievements. Special attention is paid to the synergistic effect of using DOI and ORCID together, which facilitates the automation of research activity analysis and strengthens trust in research outcomes. The article provides recommendations for authors and editors on integrating these tools into scholarly communication practices.

Introduction: For the first time in modern organizations, representatives of six generations coexist, each with unique expectations and needs. This presents new challenges for management, requiring the adaptation of strategies to the diverse characteristics of these generations.

Purpose: To evaluate the feasibility of implementing Pearce's six-generation interaction model (2020) in Russian organizations, considering generational differences and the specifics of the cultural context.

Materials and Methods: The study was conducted using a survey method among employees of Russian organizations from various generations. The sample included representatives of the Silent Generation, Baby Boomers, Generations X, Y, Z, and Alpha. The analysis covered 250 questionnaires, with data categorized into key topics: cultural characteristics, management strategies, and workplace expectations. Descriptive statistics and content analysis methods were employed for data analysis.

Results: The study confirmed significant differences in expectations and preferences among generations. The Silent Generation and Baby Boomers value stability and mentorship. Generation X prioritizes structured management and long-term prospects. Millennials (Generation Y) focus on career growth and work-life balance, while Generation Z highlights digital technologies and inclusivity as key aspects of the professional environment. Generation Alpha demonstrates readiness for learning and experimentation, focusing on creativity and technology.

Conclusion: Pearce's model (2020) provides effective tools for managing multigenerational teams, but its successful implementation requires consideration of local cultural and organizational specifics. The application of hybrid approaches, combining traditional and innovative strategies, can foster a harmonious work environment and intergenerational collaboration.

Introduction: Modern digitalization trends have significantly influenced the labor market, where the internet has become a key tool for job searching and recruitment. However, an analysis of online resource utilization revealed significant challenges. Many companies fail to effectively leverage the potential of their corporate websites, limiting themselves to basic job postings, while specialized platforms and social networks are only beginning to integrate into recruitment strategies. This reduces the efficiency of interactions between employers and job seekers.

Purpose: To conduct a comprehensive analysis of the practices employed by young professionals in utilizing online resources for job search, to identify the key challenges they encounter, and to explore their expectations and perspectives regarding the development of internet-based recruitment.

Materials and Methods: The study utilized narrative interviews with respondents aged 22 to 26. The data were processed using a mixed-methods approach, combining qualitative and quantitative analyses. The qualitative component involved analyzing open-ended responses from participants, while the quantitative part included the systematization of survey results and scaled evaluations of key parameters.

Results: The study revealed that by 2024, the internet had become the dominant channel for job searching among young people. Over 96% of participants confirmed using online resources for employment, and 80% rated it as a faster method compared to traditional approaches. However, many employers were found to inadequately utilize digital technologies, creating barriers for their workforce. In contrast, young professionals exhibited a high level of adaptation to online formats, as evidenced by their frequent use of platforms like HeadHunter and SuperJob. However, social networks remain an underutilized tool in job searching.

Conclusion: The results indicate that in the mid-2010s, online recruitment in Russia was in its formative stage, facing barriers related to insufficient digital literacy among employers and low levels of digital tool integration. By 2024, demand for online resources had increased, making them an integral part of labor market interactions. To further enhance effectiveness, it is essential to actively implement innovative technologies such as predictive analytics and automated recruitment systems, as well as improve the digital competencies of both job seekers and recruiters.

Introduction: Due to the rapid development of technology, artificial intelligence (AI) and its use in various fields, the education system and the labor market are facing significant transformations. Under such circumstances, it becomes relevant to investigate the impact of artificial intelligence on the career map, which offers both traditional and new career tracks and challenges for teachers and students in higher education. With the development of modern technologies the career map is becoming increasingly complex and diverse, reflecting new realities and demands of learning and labor.

Purpose: To present a systematic analysis of English and Russian language literature on the topic of interaction between AI and career development, to study the role of artificial intelligence in the professional space of higher education and to identify the main aspects of its impact on students' identification of career tracks and career development of teachers.

Materials and methods: A scoping review was performed following the PRISMA-ScR protocol and the “PPC” concept (Population, Context, Concept) to determine the criteria for study selection. Materials were searched in ScienceDirect and RINC databases, 217 original studies published between 2017 and September 2024 were retrieved by keywords.

Results: 51 sources were included in the review (12 in Russian and 39 in English). Synthesis of the selected materials showed that artificial intelligence influences the career map, creating new educational directions, career tracks and activities for learners and teaching staff of higher education institutions. These changes form the need to obtain new knowledge in the field of modern technologies and to master practical skills of using AI by all participants of educational and professional activities.

Conclusion: Career tracks consisting of sequences of professional activities and development opportunities are becoming more and more diverse, which forces the education system to adapt to the rapid development of modern technologies. The review notes that artificial intelligence is not only a working tool in building the career map and determining personalized professional tracks, but also influences technical, psychological, and ethical aspects of career choice.

Background: The psychological consequences of unemployment are an important area of research, as joblessness has a significant impact on a person's psycho-emotional health. Understanding these consequences is crucial for developing strategies to mitigate the negative effects of unemployment on mental health. Despite the growing recognition of this issue, there is limited synthesis of existing research exploring the conceptualization, influencing factors, and theoretical approaches related to the psychological consequences of unemployment.

Purpose: To examine the psychological consequences of unemployment and their impact on mental health, with a focus on defining and conceptualizing these consequences. 

Method: The review was conducted according to best practices, and the extended PRISMA protocol for scoping reviews (PRISMA-ScR) was used for reporting. Data were collected through systematic searches in databases ScienceDirect and Google Scholar, focusing on research from the last decade. All relevant articles were assessed for compliance with pre-established criteria.

Results: The review identified significant psychological consequences of unemployment, including heightened levels of depression, anxiety, and social isolation, as well as reduced self-esteem and cognitive impairments. The analysis revealed that financial pressure and the loss of social identity exacerbate these effects, often leading to chronic stress and long-term mental health challenges. Cultural, gender, and socio-economic factors, along with regional differences, play a significant role in shaping individual experiences of unemployment. For instance, in regions with higher unemployment rates, there is a reduction in stigma, which mitigates some negative effects, whereas in areas with low unemployment, feelings of isolation are intensified. Additionally, gender differences indicate that men often struggle due to societal expectations to be breadwinners, while women face additional stress from balancing domestic responsibilities with job searching. These findings highlight the necessity for targeted interventions, such as social support programs tailored to demographic and regional characteristics, to alleviate the psycho-emotional impacts of unemployment.

Conclusion: The results of this review will help deepen the understanding of the psychological consequences of unemployment, offering insights into how these consequences can be mitigated through targeted interventions. The study will also influence the development of policies and practices aimed at supporting individuals facing unemployment and improving their psycho-emotional health and well-being.