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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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The Nexus Between Supervisor Knowledge Hiding and Subordinate Innovative Work Behaviour: A Dual Mediation Model

Journal of Chinese Human Resources Management. 2026. Vol. 17. No. 1. P. 62–67.
Ojo S. K., Barrow O. A.
Translator: O. A. Barrow

Purpose – Knowledge-hiding behavior is detrimental to employee innovation. While previous research indicates that its consequences are more severe in supervisor-subordinate (vertical) relationships than in coworker (horizontal) interactions, existing evidence on the former remains scarce, presenting opportunities for further investigation. This study examines how supervisor knowledge hiding influences subordinate innovative work behavior, identifying two mediating mechanisms in this relationship. Design/methodology/approach – We surveyed 512 employees across 13 industries in Nigeria and modeled the mediating effects of worker relationships and subordinate knowledge hiding using structural equation modeling. Findings – The results reveal that an increase in supervisor knowledge hiding is associated with deteriorating worker relationships, which, in turn, hampers innovative work behavior. Furthermore, subordinates tend to adopt their supervisor's knowledge-hiding behavior, ultimately impairing their own innovation. Research implications – This study recommends that organizations screen prospective applicants for knowledge-hiding tendencies and discourage such behavior by incorporating knowledge-hiding metrics into performance evaluations for employees in supervisory roles. Originality – This study identifies two novel mechanisms—subordinate knowledge hiding and worker relations—through which supervisor knowledge hiding influences subordinate innovative behavior

Language: English
Full text
DOI
Keywords: NigeriaSubordinate Knowledge HidingWorker relationsInnovative work behaviour
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