Введение. Автоматизация в области работы с персоналом является одним из способов увеличить эффективность как службы по управлению человеческими ресурсами, так и организации в целом. Целью проведения систематического обзора является анализ развития научной мысли в области автоматизации управления персоналом за последние 5 лет (с 2019 по 2024 годы).
Методология и методы. При подготовке обзора учитывались рекомендации PRISMA (2020). В качестве базы данных для анализа использовалась платформа OpenAlex. Поиск осуществлялся по ключевым словам - hr human resources automation, в периметр анализа были включены только научные статьи. В исходную выборку для проведения количественного анализа включены 3727 статьи, при этом учитывались продуктивность авторов статей, использование и взаимосвязь ключевых слов. Для анализа и предоставления результатов использовался пакет bibliometrix для языка программирования R (на основании интерфейса biblioshiny). Для проведения качественного анализа на основании тематического соответствия, содержания и наличия в базе данных Scopus были отобраны 46 работ по 5 основным тематическим направлениям публикаций с наибольшей численностью работ. Доступность отобранных для анализа материалов различается и определяется политикой публикующего журнала/ условиями публикации конкретной статьи.
Результаты. Зафиксирован рост количества публикаций по исследуемой теме, выделены наиболее популярные направления исследований: индустрия 4.0 и цифровая трансформация, аналитика в области управления человеческими ресурсами, подходы в области управления персоналом (использование ключевых показателей эффективности, подбор, развитие персонала). Много внимания в рассмотренных работах уделяется потенциалу использования генеративных языковых моделей (подобных ChatGPT) и влиянию автоматизации производственного процесса на работу по управлению персоналом; подчеркивается важность сохранения фокуса на развитии человеческого капитала компаний. Среди сложностей, с которыми приходится сталкиваться организациям, отмечается нехватка профильных компетенций у сотрудников, финансовые издержки при внедрении новых решений и риски нарушения этических норм.
Обсуждение. Дальнейшего изучения требует развитие практик управления персоналом под влиянием технологических изменений. В качестве ограничений обзора можно указать возможную неполноту базы данных, использовавшейся для обзора статей, а также субъективность суждений автора в части отбора и проведения качественного анализа статей.
Введение. Укрепление и развитие связей между территориями разного иерархического уровня, в частности локальными территориями, является важнейшей задачей на пути к достижению стратегических для России целей – сбалансированности экономического пространства и устойчивости социально-экономического развития. Одним из инструментов решения этой задачи является потребительская кооперация. Целью статьи является выявление проблем и обоснование перспектив развития потребительской кооперации как инструмента укрепления связности социально-экономического пространства региона. При этом связность рассматривается с позиции не только наличия, но и качества (интенсивности, устойчивости) связей между системообразующими элементами пространства.
Материалы и методы. Методологической основой исследования выступили положения региональной экономики, касающиеся факторов, методов и инструментов обеспечения связности регионального экономического пространства. В работе использованы методы экспертного опроса (респондентами выступили председатели советов союзов потребительских обществ муниципальных районов и округов Вологодской области), анализа и синтеза, систематизации, а также монографический метод.
Результаты исследования. Выявлены ключевые сферы и направления влияния потребкооперации на развитие и укрепление связности российских территорий. Выделены основные, по мнению кооператоров, факторы, сдерживающие развитие кооперации в России: недостаток трудовых ресурсов; высокий уровень налогообложения кооператоров; депопуляция и миграционный отток сельских жителей в города; критическая изношенность материально-технической базы; недостаточное внимание со стороны органов власти и в целом общества к развитию кооперации. Предложены меры государственной поддержки, которые могут обеспечить активное развитие потребкооперации на основе диверсификации деятельности потребительских обществ, выхода на новые рынки сбыта. Научная новизна исследования заключается в изучении потребительской кооперации через призму проблематики обеспечения связности пространства России.
Обсуждение. Результаты работы могут быть использованы научными сотрудниками при проведении исследований схожей тематики, органами государственной власти субъектов РФ и местного самоуправления при реализации проектов и совершенствовании политики в области укрепления связности территорий, развития потребительской кооперации, обеспечения социально-экономического и пространственного развития территорий.
В статье обосновывается применение методов проектного управления при решении проблем агропромышленного комплекса Российской Федерации в условиях воздействия санкций. В процессе выполнения работы были использованы общенаучные методы, метод структурного анализа и метод обобщения данных, графический метод. По результатам проведенного исследования были выявлены объемы производства сельскохозяйственной и животноводческой продукции; объемы государственного финансирования агропромышленного комплекса Российской Федерации по горизонту 2015/2023 годов и осуществлен анализ динамики данных показателей. Определены ключевые проблемы агропромышленного комплекса Российской Федерации в условиях санкций, связанные с транспортно-логистическими, финансовыми, технологическими, снабженческо-сбытовыми и торговыми ограничениями со стороны стран ЕС, стран G7 и ряда их союзников, разрушающими международную интеграционную кооперацию производственно-хозяйствующих субъектов АПК России со странами мирового сообщества. Сделан вывод о том, что использование методов проектного управления в рамках решения проблем АПК России, ограниченных временными рамками, ресурсами и достижениями конкретных целей - структурирует и систематизирует планирование, организацию, реализацию и контроль управления для предприятий АПК всех категорий, сокращает потери производственно-хозяйствующих субъектов в процессе ведения деятельности в условиях неопределенности, угроз и рисков, и тем самым увеличивает эффективность применяемых принципов, техник, инструментов, методов, процессов и процедур в процессе освоения бюджета специалистами системы управления, направленного на решение проблем в рамках успешного достижения целей агропромышленного комплекса.
Relevance. Corruption remains a persistent issue in many countries, including Kazakhstan. By exploring the relationship between the socio-economic characteristics of specific regions and corruption, this research can provide a foundation for informed policy-making and targeted anti-corruption efforts and thus help mitigate its negative impact on regional development. Research Objective. The research aims to assess the impact of corruption on regional socio-economic development in Kazakhstan through the creation and application of a multifactor corruption index. Data and Methods. The study uses official statistical data on corruption offenses and regional socio-economic indicators, including industrial production, fixed asset investments, household expenditures, unemployment rates, and foreign trade volumes. A multifactor index methodology was employed, using Pearson correlation coefficients to calculate averaged absolute values of sub-indices for each indicator. Results. The study found strong correlations between corruption and socio-economic indicators in regions like East Kazakhstan, Abay, Akmola, and Kostanay. The economic structure of these regions plays a key role: East Kazakhstan and Akmola, with dominant mining industries, are more vulnerable to corruption due to public contracts and licensing. Kostanay’s agricultural sector, central to its economy, is prone to corruption in land allocation, subsidies, and procurement. The economic importance of these sectors amplifies the impact of corruption on development, strengthening the correlation. Conversely, regions with lower index values show weaker correlations in the analysis, likely due to economic diversity, incomplete data, or less effective governance mechanisms. Conclusions. The regional specificity of the interrelation between corruption and socio-economic development in Kazakhstan necessitates tailored approaches that consider the unique conditions of each region. These findings can be of interest to policymakers and other stakeholders. The proposed methodology allows for a more precise assessment of both hidden and visible corruption risks, highlighting critical areas for implementing effective anti-corruption measures.
Relevance. Russia is currently facing sanctions, which have had significant economic and social consequences. These crises have revealed vulnerabilities in the socio-economic system, highlighting the importance of studying them to better address current challenges and mitigate future risks. Objective. The study aims to identify the vulnerabilities in particular aspects of sustainable development across Russia’s regions during the crises of the past 15 years. Data and methods. The study draws on data from the Federal Statistical Service (Rosstat) to calculate a sustainable development index for regions, which tracks the impact of crises on their economic, social, and environmental sustainability. The index is constructed using a classical method, comprising three averaged sub-indices, each representing one of the three components of sustainable development. A higher index value indicates greater sustainability, with the impact of crises varying across regions. Results. During the 2014 crisis, regions specializing in export-oriented industries or those with a significant share of foreign capital in their economies were hit the hardest. Socially, the most vulnerable regions were those along the Chinese border in the Far East, which were impacted by trade restrictions. The 2020 pandemic had economic effects on nearly all regions, with cities of over a million people and their agglomerations suffering the most due to the abrupt suspension of the tertiary sector. The social sphere responds most quickly to crises, while the environmental component is more inert but shows a negative trend despite the crises. Conclusions. For regions with underdeveloped and monocentric economies, support measures should focus on diversifying industries, particularly those aimed at mass consumption. In coal-mining regions, it’s important to develop service sectors related to the industry during stable periods. For the Far Eastern regions, the main support measure is to stimulate industries geared towards meeting Chinese demand.
Relevance. Inter-municipal cooperation is an effective tool for addressing resource deficits faced by municipalities, and its importance has grown in today’s context of socio-economic instability. However, the success of such cooperation largely depends on a careful selection of partners, which raises the question of how the strength of ties between municipalities impacts their ability to collaborate effectively. Research objective. The aim of this study is to explore how the spatial characteristics of interdependence between municipalities influence their interactions and cooperation. Data and methods. The research draws on official statistical data from Russia’s Federal State Statistics Service (Rosstat), as well as information from investment passports and municipal socio-economic development strategies. The study employs spatial correlation methods, cartographic analysis, and general research techniques, including analysis and synthesis. Results. The inter-municipal relationships in Sverdlovsk Region are highly uneven, with significant disparities in the level of involvement across different areas. These relationships are predominantly concentrated around the region’s administrative center and its neighboring municipalities, while the northern and eastern parts exhibit the weakest connectivity. Municipalities in the Ekaterinburg urban agglomeration are the most active participants in joint projects, whereas those in the southwestern part of the region show less involvement. The northern and eastern areas, in particular, demonstrate minimal engagement in forming partnerships with other municipalities, highlighting a stark regional imbalance. Conclusions. The study confirms a strong link between the interdependence of municipalities and the extent of their cooperation. Factors such as territorial and socio-economic proximity play a key role, but additional drivers, such as national or regional policies, also significantly influence inter-municipal collaboration. Interestingly, a lack of resources among potential partners does not appear to impede cooperation.
Relevance. The global imperative for adopting a low-carbon economy resonates worldwide, yet comprehensive assessments specific to the Russian economy remain scant. This is especially important considering the significant differences in the level of transition to sustainable development among Russian regions. Research Objective. This study aims to introduce a robust methodology for evaluating and analyzing the international trade of low-carbon goods (LCGs) across various Russian regions and assessing its effects on fuel combustion emissions. Data and Methods. Data on LCGs trade were obtained from the Federal Customs Service of Russia. In conjunction, datasets from Rosstat and the Central Bank of Russia were incorporated for comprehensive econometric modeling. The analytical framework employed Tobit and quantile regressions. Results. The study uncovers significant disparities among Russian regions regarding the intensity of low-carbon goods exports and imports. This variation highlights the diverse competencies in LCGs production, as well as differing ecological agendas and consumption patterns across regions. Additionally, the research demonstrates that, although the widespread adoption of advanced production technologies is positively correlated with increased fuel combustion emissions, a U-shaped relationship exists where higher LCGs exports are associated with reductions in fuel combustion emissions across Russian regions to a certain degree. Conclusions. This research highlights important implications for both federal and regional industrial and environmental policies. It advocates for the development of targeted incentives that encourage the adoption of low-carbon goods (LCGs) and advanced technologies. By doing so, policymakers can effectively promote sustainable development tailored to the unique needs and conditions of various regions, thereby fostering ecological resilience and economic growth across diverse regional landscapes.
Relevance. The study of inclusive economic growth remains highly relevant as the concept of growth continues to evolve. Measuring and analysing its determinants offers opportunities to foster inclusive growth at both regional and national levels. Research Objective. This study analyses inclusive economic growth in East Java’s districts and cities from 2018-2022 by comparing two measurement models: the Social Mobility Curve (SMC), which focuses on income distribution and economic growth, and the Poverty Equivalent Growth Rate (PEGR), which incorporates poverty, inequality, and unemployment. Data and Method. Using data from Statistics Indonesia (BPS), the National Labour Force Survey (SAKERNAS), and the National Socioeconomic Survey (SUSENAS) for 2018-2022, this study applies the SMC and PEGR models and conducts panel data regression to analyse inclusive growth and its determinants. Results. The findings reveal that economic growth in East Java lacks inclusivity. Income distribution inequality persists across districts and cities, as shown by the SMC results. The PEGR model also indicates ongoing challenges in reducing poverty and unemployment inclusively. Key factors such as the share of manufacturing in GRDP and employment opportunities significantly impact inclusive growth. Conclusions. Encouraging investment growth can create a favourable business climate across all districts/cities, supporting a more equitable contribution to GRDP. As employment opportunities play a significant role in inclusive growth, boosting employment through investment can improve access to education and healthcare, while addressing unemployment. To combat inequality and poverty, the government must refine its data collection on the poor to better target beneficiaries.
Relevance. External shocks can disrupt stable industrial development and technological modernization, especially in open single-industry regions that are highly vulnerable to global market fluctuations. The dominance of a single sector results in structural inertia, making it difficult for these regions to shift their economic trajectory. This path dependence amplifies the risks posed by economic turbulence, highlighting the need for changes in the economic structure and strategic guidelines for regional industrial policies. Objective. This study aims to describe the current, strategic, and future development paths for single-industry regions amid economic turbulence. It focuses on changes in the industrial profiles of metallurgical regions in Russia, including Lipetsk, Vologda, Murmansk, Sverdlovsk, Chelyabinsk, and Krasnoyarsk. Data and methods. The research uses publicly available statistics from 2008 to 2021, grounded in regional development theory. Methodologically, the study relies on coefficient analysis, positional-dynamic analysis, and assessment of technological connections between sectors. Results. The study has detected significant differences in regional adaptation: Lipetsk and Chelyabinsk are shifting towards low-tech sectors, Sverdlovsk maintains its metallurgical focus, Vologda is balancing metallurgy and a medium-high-tech chemical industry, while Murmansk and Krasnoyarsk are transforming with a focus on low-tech mineral extraction. Promising specializations include machine engineering in Sverdlovsk and Vologda, as well as machine engineering and electrical equipment production in Lipetsk and Chelyabinsk. However, we found discrepancies between the declared strategic goals and actual priorities in Lipetsk and Chelyabinsk. Conclusions. The findings offer valuable insights for policymakers and authorities, helping to update strategies for fostering the growth of promising industrial sectors.
Relevance: The stability of money demand is essential for effective monetary policy, especially in Sub-Saharan African (SSA) countries that face various economic challenges. These challenges include volatile exchange rates, fluctuating foreign interest rates, and high inflation, all of which can disrupt money demand stability. Understanding how these dynamics interact with different income levels-upper middle, lower middle, and low-is crucial for developing effective regional monetary policies and achieving economic stability. Research Objective: This study aims to evaluate the stability of money demand across different income levels-upper middle, lower middle, and low-in SSA. By applying the cash-in-advance theory, the study seeks to provide insights and actionable policy recommendations on the influence of key economic variables. Data and Method. This study employs the cross-sectional augmented autoregressive distributed lag (CS-ARDL) model to analyze both the short- and longrun influences of real exchange rates, foreign interest rates, real GDP, and inflation on money demand. By doing so, it aims to provide a nuanced understanding of money demand stability, capturing variations often overlooked in existing research. The analysis uses data from the World Bank Indicators and the International Monetary Fund (IMF), allowing for a detailed examination of money demand stability across various income levels in the region. Results. The findings reveal a positive and significant relationship between the real exchange rate, foreign interest rates, real gross domestic product, and real monetary aggregates. However, inflation has a contractionary effect on the real monetary aggregate, destabilizing money demand. Money demand stability is observed in upper-middle and low-income countries, while lower-middle-income countries exhibit variability, indicating differing levels of economic resilience across income categories. Conclusion. The study recommends adopting unified monetary policies and a single currency to enhance stability and stimulate economic growth in the region. Additionally, implementing inflation-targeting policies can further strengthen economic stability and promote sustainable development in SSA.