Professional standards and demand in the labor market in the sphere of higher management in Russia

Ternikov, Andrei A.

doi:10.21638/11701/spbu08.2022.106

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Neural network models word2vec, fastText [23] and graph models of educational programs, professional standards and vacancies are used. In [24], devoted to the problem of correlating professional standards and the real demand presented by employers in the labor market in the field of top management, algorithms were used to quantify high-quality information regarding the knowledge, skills and abilities demanded by employers, as well as the method of grouping professional standards and vacancy announcements between yourself. It is also shown that many professions and their names from professional standards only partially correspond with the HeadHunter database and vice versa.…”

Section: Pos(dlcp2022)028mentioning

confidence: 99%

Methods and algorithms of the analytical platform for analyzing the labor market and the compliance of the higher education system with market needs

Ilina¹,

Belov²,

Filozova³

et al. 2022

Proceedings of the 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)

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The article discusses the methods and algorithms that underlie the analytical platform for automated monitoring and analysis of the labor market in the Russian Federation, as well as the analysis of the higher education system's compliance with the labor market's current needs. The study involved natural language processing methods and Big Data technologies. The general scheme corresponds to end-to-end processing -from data collection and storage, their transformation, analysis, and modeling, to visualization of results and decision-making. The analytical core of the system is a module for intellectual analysis of the texts of job advertisements in the labor market. The vacancies are collected from the most complete databases in Russia (namely HeadHunter, Work in Russia and SuperJob). Job descriptions of vacancies are matched with the official list of professions of the Ministry of Labor and Social Protection of Russia using semantic analysis based on neural models trained on large arrays of texts. Also, using semantic analysis, automated monitoring and intellectual analysis of the staffing needs of the all-Russian and regional labor markets are carried out according to the range of specialties of the university. Data gathering has been ongoing from 2015 up to now.

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Section: Pos(dlcp2022)028mentioning

confidence: 99%

Methods and algorithms of the analytical platform for analyzing the labor market and the compliance of the higher education system with market needs

Ilina¹,

Belov²,

Filozova³

et al. 2022

Proceedings of the 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)

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New Master's Programin Management at Msu: From Development to Implementation

Gruzdeva,

Mirakyan,

Shakhova

et al. 2024

LEJ

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The paper reflects the process of creation and presents the results of two-year work of a new master’s program “Business Development Management”. The authors were actively involved in the program’s design and its curriculum development to meet the requirements of contemporary management education. The paper presents the approaches to designing master’s programs and substantiates company’s life cycle concept as a basis for “Business Development Management” program, which involves a combination of disciplines forming students’ professional, soft, and digital skills. Drawing on the results of a first- and secondyear undergraduates’ survey, conducted in January 2023, this paper determines the factors influencing students’ interest in the program and assesses the quality of compulsory and elective disciplines. Finally, it identifies crucial problem areas in master’s education developing modern managers, shapes clearer description of a graduate of “Business Development Management” program, and outlines new areas for management education development. The authors propose to replace disciplines with poor scores and expand a list of elective courses (also taught in foreign language); strengthen the practical focus of the learning process; introduce e-learning modules and the best practices of business gamification, which will allow using the knowledge gained and the developed soft and digital skills without time gaps between education and employment. Our findings have implications both for examining management education transformation and for creating and upgrading master's degree programs in management.

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Professional standards and demand in the labor market in the sphere of higher management in Russia

Cited by 2 publications

References 18 publications

Methods and algorithms of the analytical platform for analyzing the labor market and the compliance of the higher education system with market needs

Methods and algorithms of the analytical platform for analyzing the labor market and the compliance of the higher education system with market needs

New Master's Programin Management at Msu: From Development to Implementation

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