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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Untangling the role of power in knowledge sharing and job performance: the mediating role of discrete emotions

Journal of Knowledge Management. 2023. Vol. 27. No. 4. P. 873–895.
Luqman A., Zhang Q., Kaur P., Papa A., Dhir A.

Purpose

The purpose of this study is to empirically examine how psychological power explains dual conflicting emotions, influences and jeopardises knowledge sharing and eventually affects job performance. Specifically, this study argues that psychological power can induce feelings of pride and anxiety, which have opposite downstream effects on employees’ knowledge sharing and tasks, proactive and affiliative (TPA) performances.

Design/methodology/approach

This study tested the model using three waves of multi-source data from 46 teams and 357 respondents in the information technology and software industry in China. This study used multilevel structural equation modelling with Mplus 7.4 to examine the within-level team variance and thereby estimated the confidence intervals for the direct and indirect paths.

Findings

The results indicate that increased psychological power can cause contradictory emotions (i.e. pride and anxiety). Pride positively mediates the indirect influence of psychological power on knowledge sharing and TPA performance, while anxiety negatively mediates the above-mentioned indirect relationships.

Research limitations/implications

This study provides a novel perspective on how psychological forces shape people’s emotional experiences and subsequently their motivation to share knowledge and job performance. By integrating the existing power literature rooted in the approach/inhibition theory of power and cognitive appraisal theory of emotion, we identify two discrete emotions as underlying mechanisms between increased psychological power and motivation to share knowledge and job performance.

Practical implications

This research provides insights for managers regarding the ways in which psychological power can stimulate individuals to engage in negative behaviour towards others. Managers, in turn, must consider self-regulation to control this negative impact.

Originality/value

This study is among the earliest to examine the role of discrete positive and negative emotions caused by increased psychological power, which subsequently affect knowledge sharing and TPA performance.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: performanceknowledge sharingPsychological powerjob performance
Publication based on the results of:
Study of the possibilities of adaptation of the innovation actors to changes in the external environment: institutional, personnel and social aspects (2023)
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