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How Artificial Intelligence Technology Affects Productivity
Ch. 9. P. 125–144.
Semenova E., Mikhail Komarov
The article investigates the impact of large language models (LLMs), such as ChatGPT, on productivity within the digital product development industry. The research highlights the transformative role of LLMs in enhancing task completion speed, job satisfaction, and reducing fatigue, particularly for junior employees and less experienced professionals. Through a survey-based approach, the study identifies that the practical application of LLMs is more beneficial in stages like coding, code review, and bug fixing, while their effectiveness diminishes in more creative or
planning-intensive phases. Despite the positive correlation between LLM usage and productivity improvements, the study underscores the lack of significant empirical data across diverse organizational settence.
In book
Komarov M. M. Vol. 1,2. , Springer, 2025.
Chepurenko A., Dormidontova Y., Central European Business Review 2026 Vol. 15 No. 2 P. 69–90
This study examines the individual factors of artificial intelligence (AI) implementation by small and medium-sized enterprise (SME) owners, based on a survey of 499 respondents in Russia. Drawing on Innovation Diffusion Theory, the Technology Acceptance Model (TAM), and stakeholder-oriented sustainability approach, the analysis shows that SME owners who already use AI for private purposes are ...
Added: July 7, 2026
Buzaev F., Mullakhmetov R., Bogachev R. et al., Association for Computational Linguistics, 2026.
Playlist generation based on textual queries using large language models (LLMs) is becoming an important interaction paradigm for music streaming platforms. User queries span a wide spectrum from highly personalized intent to essentially catalog-style requests. Existing systems typically rely on non-personalized retrieval/ranking or apply a fixed level of preference conditioning to every query, which can ...
Added: June 22, 2026
Omopekunola M., JOURNAL OF EDUCATIONAL TECHNOLOGY DEVELOPMENT AND EXCHANGE 2026 Vol. 19 No. 2 P. 141–165
Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a ...
Added: June 9, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., , in: AI for good innovate for impact report 2025.: Geneva: International Telecommunication Union, 2025. P. 167–169.
Added: May 26, 2026
Baysha O., Trofimov V., Российская школа связей с общественностью 2026 № 40 С. 171–191
A growing number of scholars are warning about the dangers of the reproduction by generative AI of socio-political and ideological biases absorbed by models from the texts on which they were trained. If a given model was trained on Western media texts, it may generate narratives that reproduce West centric views of world events. This ...
Added: April 21, 2026
Jin S., Panfilov P., Сулейкин А. С., Труды Института системного программирования РАН 2025 Т. 37 № 6 С. 163–176
In the modern restaurant business, accurate mapping of product nomenclatures between restaurants and suppliers is a critical task. Effective inventory management and procurement optimization directly impact business profitability. With the increase in suppliers and product variety, traditional mapping methods become less efficient. This study proposes using large language models (LLM) to automate and improve the ...
Added: April 17, 2026
Vissoky G., Vigoda-Gadot E., Styrin E. M., Public Administration Review 2026 P. 1–11
We propose an interdisciplinary theoretical framework that integrates insights from political science, public administration, organizational theory, economics, psychology, sociology, and cognitive science to better understand the role of emotions in governance in the digital age. We argue that citizens' sentiments and emotional responses are central to their relationships with government institutions and bureaucracies. Building on bounded ...
Added: April 16, 2026
Buzaev F., Пугачёва Д. В., Sukharev I. et al., Transactions of the Association for Computational Linguistics 2026 P. 51–57
Playlist generation based on textual queries using large language models (LLMs) is becoming an important interaction paradigm for music streaming platforms. User queries span a wide spectrum from highly personalized intent to essentially catalog-style requests. Existing systems typically rely on non-personalized retrieval/ranking or apply a fixed level of preference conditioning to every query, which can ...
Added: April 7, 2026
Seredkina E., Seletkova G., Mikhailovsky A., Technology and Language 2026 Vol. 7 No. 1 P. 63–79
The rapid diffusion of Large Language Models (LLMs) into socially and politically sensitive domains raises critical questions about the nature and origins of political bias in artificial intelligence. While existing research often treats bias as a technical flaw to be minimized, this article advances a broader philosophical and cultural interpretation of LLM bias as an ...
Added: April 1, 2026
Podolskaia E., Геодезия и картография 2024 Т. 85 № 8 С. 51–60
Intelligent information systems in geoinformatics are a promising area of science, production and education. An analysis of publications on intelligent GIS is presented following a brief overview of Russian courses and tutorials on the topics of intelligent geographic information systems. The structure and content of lectures and trainings of the course on geoinformation technologies in ...
Added: March 22, 2026
Trio O., Caboni F., Cavallo F. et al., Journal of Knowledge Management 2026 Vol. 30 No. 4 P. 1282–1302
Purpose
This study explores how artificial intelligence (AI) is transforming tacit knowledge practices and shared leadership in radio broadcasting – a sector characterized by creativity, spontaneity and strong audience engagement. The aim is to assess whether AI can complement or replicate the human dimensions of knowledge sharing in cultural and media organizations.
Design/methodology/approach
Grounded in Media Richness Theory ...
Added: March 11, 2026
Ivanov E., Molodchik M., Eurasian Business Review 2026 Vol. 16 P. 95–122
This study investigates the industry-specific effects of IT system adoption on company productivity, emphasizing how different industry conditions shape IT-driven performance. Using hierarchical linear modeling on a dataset of 1,500 companies from 12 industries over the period 2008–2021, we analyze the impact of Enterprise Resource Planning (ERP) and Business Process Management (BPM) systems. Our findings ...
Added: February 18, 2026
Seleznyov M., Chaichuk M., Ershov G. et al., , in: Findings of the Association for Computational Linguistics: EMNLP 2025.: Association for Computational Linguistics, 2025. P. 20370–20385.
Large Language Models (LLMs) are highly sensitive to subtle, non-semantic variations in prompt phrasing and formatting. In this work, we present the first systematic evaluation of 4 methods for improving prompt robustness within a unified experimental framework. We benchmark these techniques on 8 models from Llama, Qwen and Gemma families across 52 tasks from Natural ...
Added: February 3, 2026
Moses Oluoke Omopekunola, Elena Yu. Kardanova, Journal of Science Education and Technology 2026
High-stakes assessment is crucial for evaluating student performance and making significant educational decisions. Traditionally, the development of test items for such examinations has relied on manual development by subject matter experts. However, Automated Item Generation (AIG) using Large Language Models (LLMs) has emerged as a promising alternative, though systematic research on their application in high-stakes ...
Added: January 16, 2026
Андрющенко Г. Д., Godunova M., Иванов В. В. et al., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2025 Т. 527 С. 320–331
Large language models (LLMs) pretrained on English-centered corpora have biases and perform sub-optimally on other natural languages. Adaptation of LLMs vocabulary provides a resource-efficient way to improve the quality of a pretrained model. Previously proposed adaptation techniques focus on performance (accuracy) and size metrics (fertility), ignoring other aspects in comparison, such as inference latency, compute ...
Added: January 15, 2026
Zykov S. V., Springer, 2026.
This book focusses on real-world practitioner’s guidance in crisis management of digital product development. This includes monitoring, predicting, preventing and agile responding to critical situations by systematically applying resilient patterns and practices. This book introduces a thoroughly integrated toolbox of patterns and practices for sustainable crisis management, each individual component of which was carefully selected ...
Added: December 30, 2025