Approaches to Measuring and Forecasting Remote Employment
— The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantita...
Gespeichert in:
| Veröffentlicht in: | Studies on Russian economic development 2021, Vol.32 (4), p.399-406 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 406 |
|---|---|
| container_issue | 4 |
| container_start_page | 399 |
| container_title | Studies on Russian economic development |
| container_volume | 32 |
| creator | Yankov, K. V. |
| description | —
The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed. |
| doi_str_mv | 10.1134/S107570072104016X |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8328130</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2559673568</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419x-352a4b60e721d1c9bb541d285364323bffa9b1a03cf5f8036a87c3188fe185033</originalsourceid><addsrcrecordid>eNp1kU9rFjEQxoMotlY_gLcFL15WZzL5txehlFaFimAreAvZvNl2y-5mTXbFfvtmeYtFi7kkw_ObZyY8jL1GeIdI4v0FgpYaQHMEAah-PGGHKAlro5R4Wt5Frjf9gL3I-QZACKHMc3ZAgpRSEg5ZczzPKTp_HXK1xOpLcHlN_XRVuWlXncUUvMvLVn8LY1xCdTrOQ7wdw7S8ZM86N-Tw6v4-Yt_PTi9PPtXnXz9-Pjk-r73A5ndNkjvRKghlyR36pm2lwB03kpQgTm3XuaZFB-Q72Rkg5Yz2hMZ0AY0EoiP2Ye87r-0Ydr6MTm6wc-pHl25tdL39W5n6a3sVf1lD3CBBMXh7b5DizzXkxY599mEY3BTimi2XslGapDIFffMPehPXNJXvbZQm0OUUCveUTzHnFLo_yyDYLRj7KJjSU-17go9Tnx86tEaQxLkoCN8jed4SCOlh-P997wCMOpdC</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2557307777</pqid></control><display><type>article</type><title>Approaches to Measuring and Forecasting Remote Employment</title><source>PAIS Index</source><source>Springer Nature - Complete Springer Journals</source><creator>Yankov, K. V.</creator><creatorcontrib>Yankov, K. V.</creatorcontrib><description>—
The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed.</description><identifier>ISSN: 1075-7007</identifier><identifier>EISSN: 1531-8664</identifier><identifier>DOI: 10.1134/S107570072104016X</identifier><identifier>PMID: 34366650</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Economic Policy ; Economics ; Economics and Finance ; Employment ; Forecasting ; International Economics</subject><ispartof>Studies on Russian economic development, 2021, Vol.32 (4), p.399-406</ispartof><rights>Pleiades Publishing, Ltd. 2021. ISSN 1075-7007, Studies on Russian Economic Development, 2021, Vol. 32, No. 4, pp. 399–406. © Pleiades Publishing, Ltd., 2021. Russian Text © The Author(s), 2021.</rights><rights>Pleiades Publishing, Ltd. 2021, ISSN 1075-7007, Studies on Russian Economic Development, 2021, Vol. 32, No. 4, pp. 399–406. © Pleiades Publishing, Ltd., 2021.Russian Text © The Author(s), 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419x-352a4b60e721d1c9bb541d285364323bffa9b1a03cf5f8036a87c3188fe185033</citedby><cites>FETCH-LOGICAL-c419x-352a4b60e721d1c9bb541d285364323bffa9b1a03cf5f8036a87c3188fe185033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S107570072104016X$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S107570072104016X$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27845,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Yankov, K. V.</creatorcontrib><title>Approaches to Measuring and Forecasting Remote Employment</title><title>Studies on Russian economic development</title><addtitle>Stud. Russ. Econ. Dev</addtitle><description>—
The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed.</description><subject>Economic Policy</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Employment</subject><subject>Forecasting</subject><subject>International Economics</subject><issn>1075-7007</issn><issn>1531-8664</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU9rFjEQxoMotlY_gLcFL15WZzL5txehlFaFimAreAvZvNl2y-5mTXbFfvtmeYtFi7kkw_ObZyY8jL1GeIdI4v0FgpYaQHMEAah-PGGHKAlro5R4Wt5Frjf9gL3I-QZACKHMc3ZAgpRSEg5ZczzPKTp_HXK1xOpLcHlN_XRVuWlXncUUvMvLVn8LY1xCdTrOQ7wdw7S8ZM86N-Tw6v4-Yt_PTi9PPtXnXz9-Pjk-r73A5ndNkjvRKghlyR36pm2lwB03kpQgTm3XuaZFB-Q72Rkg5Yz2hMZ0AY0EoiP2Ye87r-0Ydr6MTm6wc-pHl25tdL39W5n6a3sVf1lD3CBBMXh7b5DizzXkxY599mEY3BTimi2XslGapDIFffMPehPXNJXvbZQm0OUUCveUTzHnFLo_yyDYLRj7KJjSU-17go9Tnx86tEaQxLkoCN8jed4SCOlh-P997wCMOpdC</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Yankov, K. V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88J</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>KC-</scope><scope>L.-</scope><scope>M0C</scope><scope>M2L</scope><scope>M2R</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>2021</creationdate><title>Approaches to Measuring and Forecasting Remote Employment</title><author>Yankov, K. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419x-352a4b60e721d1c9bb541d285364323bffa9b1a03cf5f8036a87c3188fe185033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Economic Policy</topic><topic>Economics</topic><topic>Economics and Finance</topic><topic>Employment</topic><topic>Forecasting</topic><topic>International Economics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yankov, K. V.</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Political Science Database</collection><collection>Social Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Studies on Russian economic development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yankov, K. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Approaches to Measuring and Forecasting Remote Employment</atitle><jtitle>Studies on Russian economic development</jtitle><stitle>Stud. Russ. Econ. Dev</stitle><date>2021</date><risdate>2021</risdate><volume>32</volume><issue>4</issue><spage>399</spage><epage>406</epage><pages>399-406</pages><issn>1075-7007</issn><eissn>1531-8664</eissn><abstract>—
The article proposes approaches to the definition of terms in the field of remote employment, discusses the feasibility of collecting data on this phenomenon, and its forecasting. The system of indicators characterizing remote employment is substantiated, taking into account the available quantitative information. Based on the latest domestic and foreign publications, a methodological approach to determining the potential of remote employment, which is a key element of the forecast, is proposed.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><pmid>34366650</pmid><doi>10.1134/S107570072104016X</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1075-7007 |
| ispartof | Studies on Russian economic development, 2021, Vol.32 (4), p.399-406 |
| issn | 1075-7007 1531-8664 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8328130 |
| source | PAIS Index; Springer Nature - Complete Springer Journals |
| subjects | Economic Policy Economics Economics and Finance Employment Forecasting International Economics |
| title | Approaches to Measuring and Forecasting Remote Employment |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T15%3A05%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Approaches%20to%20Measuring%20and%20Forecasting%20Remote%20Employment&rft.jtitle=Studies%20on%20Russian%20economic%20development&rft.au=Yankov,%20K.%20V.&rft.date=2021&rft.volume=32&rft.issue=4&rft.spage=399&rft.epage=406&rft.pages=399-406&rft.issn=1075-7007&rft.eissn=1531-8664&rft_id=info:doi/10.1134/S107570072104016X&rft_dat=%3Cproquest_pubme%3E2559673568%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2557307777&rft_id=info:pmid/34366650&rfr_iscdi=true |