Forecasting of the Employment Rate in the EU ICT Field

T. Zatonatska, Yuriy Klapkiv, O. Dluhopolskyi, Olha Fedirko
{"title":"Forecasting of the Employment Rate in the EU ICT Field","authors":"T. Zatonatska, Yuriy Klapkiv, O. Dluhopolskyi, Olha Fedirko","doi":"10.18778/1508-2008.25.19","DOIUrl":null,"url":null,"abstract":"The ingrained tendency to implement information and communication technologies (ICT) in EU enterprises over the last decade has caused dramatic changes in the labor market. Since the de­mand for ICT personnel is growing, there is still a need to create a comprehensive strategy to effectively manage ICT specialists when restructuring enterprises. The aim of the research is to identify transferring processes between low‑ and high‑skilled ICT personnel and predict the employment rate in the ICT field until 2025. A Markov chain was used as the method of anal­ysis. Using statistical data about the employment rate of ICT personnel by education attainment level, we have built a Markov chain model that describes the processes of ICT personnel with different levels of education. Data from 2005 to 2019 was used to build forecasting because of the absence of the latest information. We demonstrate that with the help of digitalization, the employment rate of ICT staff in 2025 will increase by 64% compared to 2018. The research verifies that ICT personnel will be in great demand until 2023 and, importantly, low‑ and mid­dle‑skilled personnel will be in demand, as well as high‑skilled personnel. The employment rate in the ICT field will be at its highest level in 2022 as the favorable economic conditions for ICT adoption will help it. The growing demand for low‑ and medium‑skilled ICT staff are met both by staff relocation processes and by the increasing digitalization of business units and public sec­tor institutions. The added value of the analysis is the prediction that the largest growth in ICT personnel employment will occur by 2023, but employment growth will slow down after that. The main obstacle to employment growth through digitalization is the global economic crisis because of different reasons.","PeriodicalId":44249,"journal":{"name":"Comparative Economic Research-Central and Eastern Europe","volume":"29 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative Economic Research-Central and Eastern Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18778/1508-2008.25.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2

Abstract

The ingrained tendency to implement information and communication technologies (ICT) in EU enterprises over the last decade has caused dramatic changes in the labor market. Since the de­mand for ICT personnel is growing, there is still a need to create a comprehensive strategy to effectively manage ICT specialists when restructuring enterprises. The aim of the research is to identify transferring processes between low‑ and high‑skilled ICT personnel and predict the employment rate in the ICT field until 2025. A Markov chain was used as the method of anal­ysis. Using statistical data about the employment rate of ICT personnel by education attainment level, we have built a Markov chain model that describes the processes of ICT personnel with different levels of education. Data from 2005 to 2019 was used to build forecasting because of the absence of the latest information. We demonstrate that with the help of digitalization, the employment rate of ICT staff in 2025 will increase by 64% compared to 2018. The research verifies that ICT personnel will be in great demand until 2023 and, importantly, low‑ and mid­dle‑skilled personnel will be in demand, as well as high‑skilled personnel. The employment rate in the ICT field will be at its highest level in 2022 as the favorable economic conditions for ICT adoption will help it. The growing demand for low‑ and medium‑skilled ICT staff are met both by staff relocation processes and by the increasing digitalization of business units and public sec­tor institutions. The added value of the analysis is the prediction that the largest growth in ICT personnel employment will occur by 2023, but employment growth will slow down after that. The main obstacle to employment growth through digitalization is the global economic crisis because of different reasons.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
欧盟信息通信技术领域就业率预测
在过去十年中,在欧盟企业中实施信息和通信技术(ICT)的根深蒂固的趋势导致了劳动力市场的巨大变化。由于对信息通信技术人员的需求不断增长,因此在企业重组时仍需要制定一项全面的战略,以有效地管理信息通信技术专家。这项研究的目的是确定低技能和高技能信息通信技术人员之间的转移过程,并预测到2025年信息通信技术领域的就业率。采用马尔可夫链作为分析方法。利用信息通信技术人员受教育程度的就业率统计数据,建立了描述不同受教育程度信息通信技术人员就业过程的马尔可夫链模型。由于缺乏最新信息,我们使用了2005年至2019年的数据来建立预测。我们证明,在数字化的帮助下,2025年ICT人员的就业率将比2018年增加64%。研究证实,到2023年,信息通信技术人员的需求将会很大,重要的是,低技能和中等技能人员以及高技能人员的需求将会很大。信息通信技术(ICT)领域的就业率将在2022年达到历史最高水平,因为有利于信息通信技术(ICT)采用的经济条件将对其有所帮助。对低技能和中等技能的信息通信技术人员日益增长的需求,可以通过人员搬迁过程以及业务单位和公共部门机构日益数字化来满足。该分析的附加价值是预测到2023年将出现ICT人员就业的最大增长,但此后就业增长将放缓。由于种种原因,阻碍数字化就业增长的主要障碍是全球经济危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
26
审稿时长
16 weeks
期刊最新文献
Smart Cities for the Sustainable Development of Local Communities: the Cases of the Volyn Region and the City of Lublin Poverty in Selected European Countries. A Spatio-temporal Analysis from 2003–2020 The Impact of Economic Equilibrium, Globalization, Human Development, and Market Competitiveness on the Sustainable Development of Manufacturing Enterprises – the Case of France, Germany, Italy and Poland The Mundell‑Fleming Model and Macroeconomic Stabilization Policies A Reassessment of Oil Market Volatility and Stock Market Volatility: Evidence from Selected SAARC Countries
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1