Standard
Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia. / Sizova, Irina ; Bakaev, Maxim ; KHVOROSTOV, Vladimir .
Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021. ed. / Daniel A. Alexandrov; Andrei V. Chugunov; Yury Kabanov; Olessia Koltsova; Ilya Musabirov; Sergei Pashakhin; Alexander V. Boukhanovsky; Andrei V. Chugunov. SPb : Springer Nature, 2022. p. 461-476 (Communications in Computer and Information Science; Vol. 1503 CCIS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Sizova, I, Bakaev, M & KHVOROSTOV, V 2022,
Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia. in DA Alexandrov, AV Chugunov, Y Kabanov, O Koltsova, I Musabirov, S Pashakhin, AV Boukhanovsky & AV Chugunov (eds),
Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021. Communications in Computer and Information Science, vol. 1503 CCIS, Springer Nature, SPb, pp. 461-476, 6th International Conference on Digital Transformation and Global Society, DTGS 2021, Virtual, Online, Russian Federation,
23/06/21.
https://doi.org/10.1007/978-3-030-93715-7_33
APA
Sizova, I., Bakaev, M., & KHVOROSTOV, V. (2022).
Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia. In D. A. Alexandrov, A. V. Chugunov, Y. Kabanov, O. Koltsova, I. Musabirov, S. Pashakhin, A. V. Boukhanovsky, & A. V. Chugunov (Eds.),
Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021 (pp. 461-476). (Communications in Computer and Information Science; Vol. 1503 CCIS). Springer Nature.
https://doi.org/10.1007/978-3-030-93715-7_33
Vancouver
Sizova I, Bakaev M, KHVOROSTOV V.
Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia. In Alexandrov DA, Chugunov AV, Kabanov Y, Koltsova O, Musabirov I, Pashakhin S, Boukhanovsky AV, Chugunov AV, editors, Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021. SPb: Springer Nature. 2022. p. 461-476. (Communications in Computer and Information Science).
https://doi.org/10.1007/978-3-030-93715-7_33
Author
Sizova, Irina ; Bakaev, Maxim ; KHVOROSTOV, Vladimir . /
Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia. Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers: 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021. editor / Daniel A. Alexandrov ; Andrei V. Chugunov ; Yury Kabanov ; Olessia Koltsova ; Ilya Musabirov ; Sergei Pashakhin ; Alexander V. Boukhanovsky ; Andrei V. Chugunov. SPb : Springer Nature, 2022. pp. 461-476 (Communications in Computer and Information Science).
BibTeX
@inproceedings{2ab4c583e10d40acbff259c14b9d7191,
title = "Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia",
abstract = "In our paper we explore the development of labor market in Novosibirsk, a region of Russia{\textquoteright}s Siberian Federal Okrug, during the unprecedented events of 2020. In this, we rely on digital representation of the market, collecting the data from several online sources. These are the three popular Russian online job-related portals that publish vacancy and resume ads: HeadHunter, ZarplataRu and TrudVsem. We devise the joint taxonomy for the three somehow discordant portals to better cover the regional specifics and reveal the balance between workforce demand and supply in various industries in 2017–2020. The results of our analysis suggest while the supply, as manifested in resume ads, had short-term flexibility, no remarkable changes were noted in the demand. However, vacancies better reflect the situation in the labor market, even though the wages they propose were only 77.1% of the official wages for the region. The discovered lack of correlation between the numbers of the ads and the wages in the ads suggests that online recruitment is not competitive. Also, at least in the considered region, the recruitment through job-related portals largely involves straightforward and immediate hiring for less qualified and lower paid positions.",
keywords = "Employment, Online data, Wages, Human resources, Industries",
author = "Irina Sizova and Maxim Bakaev and Vladimir KHVOROSTOV",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 6th International Conference on Digital Transformation and Global Society, DTGS 2021, DTGS 2021 ; Conference date: 23-06-2021 Through 25-06-2021",
year = "2022",
month = jan,
day = "30",
doi = "10.1007/978-3-030-93715-7_33",
language = "English",
isbn = "978-3-030-93714-0",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "461--476",
editor = "Alexandrov, {Daniel A.} and Chugunov, {Andrei V.} and Yury Kabanov and Olessia Koltsova and Ilya Musabirov and Sergei Pashakhin and Boukhanovsky, {Alexander V.} and Chugunov, {Andrei V.}",
booktitle = "Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers",
address = "Germany",
url = "http://dtgs-conference.org, http://dtgs-conference.org/",
}
RIS
TY - GEN
T1 - Labor Demand and Supply Adaptation to the Pandemic-Induced Shock Analysis of Online Recruitment Data in Novosibirsk region of Russia
AU - Sizova, Irina
AU - Bakaev, Maxim
AU - KHVOROSTOV, Vladimir
N1 - Conference code: 6
PY - 2022/1/30
Y1 - 2022/1/30
N2 - In our paper we explore the development of labor market in Novosibirsk, a region of Russia’s Siberian Federal Okrug, during the unprecedented events of 2020. In this, we rely on digital representation of the market, collecting the data from several online sources. These are the three popular Russian online job-related portals that publish vacancy and resume ads: HeadHunter, ZarplataRu and TrudVsem. We devise the joint taxonomy for the three somehow discordant portals to better cover the regional specifics and reveal the balance between workforce demand and supply in various industries in 2017–2020. The results of our analysis suggest while the supply, as manifested in resume ads, had short-term flexibility, no remarkable changes were noted in the demand. However, vacancies better reflect the situation in the labor market, even though the wages they propose were only 77.1% of the official wages for the region. The discovered lack of correlation between the numbers of the ads and the wages in the ads suggests that online recruitment is not competitive. Also, at least in the considered region, the recruitment through job-related portals largely involves straightforward and immediate hiring for less qualified and lower paid positions.
AB - In our paper we explore the development of labor market in Novosibirsk, a region of Russia’s Siberian Federal Okrug, during the unprecedented events of 2020. In this, we rely on digital representation of the market, collecting the data from several online sources. These are the three popular Russian online job-related portals that publish vacancy and resume ads: HeadHunter, ZarplataRu and TrudVsem. We devise the joint taxonomy for the three somehow discordant portals to better cover the regional specifics and reveal the balance between workforce demand and supply in various industries in 2017–2020. The results of our analysis suggest while the supply, as manifested in resume ads, had short-term flexibility, no remarkable changes were noted in the demand. However, vacancies better reflect the situation in the labor market, even though the wages they propose were only 77.1% of the official wages for the region. The discovered lack of correlation between the numbers of the ads and the wages in the ads suggests that online recruitment is not competitive. Also, at least in the considered region, the recruitment through job-related portals largely involves straightforward and immediate hiring for less qualified and lower paid positions.
KW - Employment
KW - Online data
KW - Wages
KW - Human resources
KW - Industries
UR - https://link.springer.com/chapter/10.1007/978-3-030-93715-7_33
UR - http://www.scopus.com/inward/record.url?scp=85124650724&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/4db49197-77d5-3669-96d3-09b1092fe495/
U2 - 10.1007/978-3-030-93715-7_33
DO - 10.1007/978-3-030-93715-7_33
M3 - Conference contribution
SN - 978-3-030-93714-0
T3 - Communications in Computer and Information Science
SP - 461
EP - 476
BT - Digital Transformation and Global Society - 6th International Conference, DTGS 2021, Revised Selected Papers
A2 - Alexandrov, Daniel A.
A2 - Chugunov, Andrei V.
A2 - Kabanov, Yury
A2 - Koltsova, Olessia
A2 - Musabirov, Ilya
A2 - Pashakhin, Sergei
A2 - Boukhanovsky, Alexander V.
A2 - Chugunov, Andrei V.
PB - Springer Nature
CY - SPb
T2 - 6th International Conference on Digital Transformation and Global Society, DTGS 2021
Y2 - 23 June 2021 through 25 June 2021
ER -
