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AI in Vocational Training: A Qualitative Interview Study of Early-Stage Practitioners in the Real Estate Brokerage Industry in China
Educational studies. 2024. Vol. 1. No. 3. P. 180–200.
Wang F.
This study aims to unveil the individual and sectoral factors influencing the integration and utilization of artificial intelligence (AI) in vocational training among early-stage practitioners in China's real estate brokerage industry. The study involved in-depth interviews with 33 participants, each possessing less than two years of industry experience and demonstrating either experience with or a keen interest in AI applications. Rooted in the transformative potential of AI in vocational training, thematic analysis was employed to reveal the intricate interplay of individual factors—motivation, attitude, self-efficacy, and digital literacy—alongside sectoral elements such as policies, practices, and organizational culture. The findings illuminate the significant impact of these factors on the acceptance and utilization of AI, underscoring the complexity of participant attitudes, shaped by perceived usefulness and ease of use. Diverse levels of self-efficacy and digital literacy among participants regarding AI adoption were also evident. On the sectoral front, policies play a dual role, either providing support or imposing restrictions on AI adoption, while practices and organizational culture wield substantial influence over the opportunities and challenges associated with AI use. These empirical insights and best practices offer stakeholders valuable guidance to enhance employability and productivity in this ever-evolving industry. Importantly, this study advocates for a more inclusive approach in future research, addressing limitations in sample representativeness and recommending the integration of quantitative methodologies. This approach is crucial for fostering a comprehensive understanding of AI utilization in vocational training, ensuring robust insights for future advancements in the industry.
Language:
English
М.: ИНФРА-М, 2026.
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It complies with the requirements of the latest generation of Federal ...
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Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
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Vicentin D. C., Salati Marcondes de Moraes G. H., Brandao Fischer B. et al., IEEE Transactions on Engineering Management 2026 Vol. 73 P. 4455–4470
International science collaboration countries have expanded considerably in recent years; nevertheless, institutional and organizational barriers and challenges continue to undermine the effectiveness of joint research initiatives. This study examines how such barriers are associated with perceived academic and technological outcomes, drawing on a primary dataset of 396 survey responses from researchers in BRICS-countries-based collaborations. The ...
Added: September 24, 2026
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
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I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
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Makushkin M., Деньги и кредит 2026 Т. 85 № 2 С. 82–100
The paper considers the problem of estimating the coupon-free yield curve of Russian bonds in yuan. The relevance of the topic is explained by the increased popularity of yuan-denominated bonds in the Russian market since 2022, as well as the recent appearance of the first federal loan bonds (OFZ) in yuan. Given that the number ...
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Makushkin M., Финансовый журнал 2026 Т. 18 № 4 С. 27–44
This article examines financial innovations in the Russian corporate bond market as a response to structural changes in the economy following 2022. The tightening of monetary policy has led to prohibitively high interest rates for domestic companies, while the sanctions have closed access to external capital markets. Despite these constraints, Russian firms have successfully adapted ...
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Festa G., D'Amato A., Palladino R. et al., European Journal of Innovation Management 2026 Vol. 29 No. 3 P. 728–744
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Artificial intelligence (AI) is vastly impacting the digital transformation of societies, economies, businesses, markets and enterprises, at a very fast pace, mostly after the global success of the generative algorithms. In this respect, this study, with an exploratory intention, aims to provide evidence about the fundamental issues of AI, particularly if generative, when adapted to ...
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Grimaldi M., Troisi O., Papa A. et al., The Journal of Technology Transfer 2026 Vol. 51 P. 1341–1392
Digital transformation and the possibility to collect large amount of data, the so-called big data, from different sources can lead to the redefinition of business processes, models and infrastructures. In this respect, data-driven decision making (DDDM) emphasizes the need to rethink management practices to view data as a driving force that can improve the effectiveness ...
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Tripathi S., Kabra S., Letters in Spatial and Resource Sciences 2026 Vol. 19 P. 1–24
Cities become more productive and enjoyable places to live with improved transportation management. However, most cities in developing countries still lack it. In this context, the present study examines the relationship between the different types of vehicles (measured by passenger and freight vehicles) and urbanization (measured by city population size and density) in India. We ...
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Bergougui B., Ghosh S., Doğan B. et al., Energy Conversion and Management: X 2026 Vol. 30 P. 1–18
The allocation of public budgets to research and development plays a vital role in advancing climate welfare and facilitating the energy transition. Energy transition focuses on sustainable development goal −7 (SDG-7). By discussing the importance of energy transition and research and development, the current study elaborates on the pathway to resilient energy. This study investigates ...
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Tiwari S., Doğan B., Kazemzadeh E. et al., Energy Sources, Part B: Economics, Planning and Policy 2026 Vol. 21 No. 1 P. 1–21
This study explores the role of environmental, social, and governance (ESG) in shaping productive capacity amid economic complexity, economic policy uncertainty, and geopolitical risks for a panel of OECD countries. The period of observations runs from 2003 to 2023. The results based on quantile-on-quantile regression demonstrate that ESG uncertainty has a gradual, progressive positive impact ...
Added: September 24, 2026
Lola I. S., Ostapkovich G. V., Asoskov D. et al., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационно-аналитический материал «Деловой климат в строительстве: актуальные тенденции III квартала 2026 г. и перспективы развития». В обзоре использованы ключевые данные Росстата, характеризующие основные количественные операционные данные строительной отрасли, а также результаты ежеквартальных конъюнктурных опросов.
В обследовании приняли участие 6,2 тыс. строительных организаций, различных по численности ...
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Lola I. S., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
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Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
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Rincon C. J., Alekseeva O., Journal of Economic Studies 2026 P. 1–18
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This study assesses the impact of the European Central Bank's (ECB) Unconventional Monetary Policy (UMP) on economic growth via its effects on sovereign bond yields in the Eurozone. Unlike previous studies that focus on high-frequency data and short-term effects, this study provides evidence on the long-term effects of the ECB's asset purchases on key macroeconomic ...
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Li C., Tiwari S., Kazemzadeh E. et al., Sustainable Development 2026 Vol. 34 No. 5 P. 7109–7139
The transition to renewable energy is a cornerstone of sustainable development, yet it faces significant challenges. Key barriers include grid integration issues, technological immaturity, high initial costs, and policy and regulatory uncertainty. However, overcoming these hurdles offers substantial rewards, including new economic opportunities, lower energy costs, accelerated technological innovation, and more inclusive growth—ultimately paving the ...
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Nketiah E., Doğan B., Tiwari S. et al., Sustainable Production and Consumption 2026 Vol. 67 P. 64–78
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Drawing from the recent COP28, which espouses a boom in clean energy transition through technological forwardness, and the framework of the SDG, we address critical questions related to green investment, energy investment, and environmental sustainability. We scrutinize whether green technology genuinely leads to green investment and energy investment in China and whether the causal nexus ...
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Берестова Е. В., Человек 2026 Т. 37 № 5 С. 98–117
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Филатова А. А., Эпистемология и философия науки 2026 Т. 63 № 2 С. 154–171
intelligence (hereafter, AI), particularly in the form of large lan guage models, has prompted a renewed wave of philosophical debates concerning the semantic competences of technical sys tems and the criteria for evaluating the outputs they generate, especially textual outputs. This article examines a set of central problem areas and their treatment in contemporary philosophical ...
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Faul B., Эпистемология и философия науки 2026 Т. 63 № 2 С. 41–50
In the article “Knowledge in the Digital Age: The Redundancy of Romanticism”, a critical analysis is offered of Konstantin Ocheretyany’s argumentation as presented in his essay “Epistemic Nihilism and Existential Romanticism: Knowledge in the Digital Age”. Two scenarios proposed by the author – techno-pessimistic and techno-optimistic – are examined, and it is shown that the ...
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Egorova I. S., Journal of Employment and Career 2025 Vol. 4 No. 4 P. 27–43
Background. The rapid diffusion of large language models has intensified claims that professional translation is approaching technological redundancy. The available evidence, however, is dispersed across labour economics, computational linguistics, translation stu-dies, industry research, and translator education, and it does not support a uniform conclu-sion for the profession as a whole.Purpose. This article examines how artificial ...
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