Modeling of the E-Commerce Impact on the Employment in EU

Zatonatska, Tetiana; Fedirko, Olha

doi:10.1109/atit49449.2019.9030427

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Our previous works 2021;Zatonatska and Fedirko 2019) demonstrated the positive e-commerce effect on the employment rate of the EU population using regression modeling. Specifically, the aim was to verify the existence of transferring processes between different groups of employees by education attainment level who are causally related to ICT.…”

Section: Model Verificationmentioning

confidence: 99%

Forecasting of the Employment Rate in the EU ICT Field

Zatonatska

Klapkiv

Dluhopolskyi

et al. 2022

CER

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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.

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Section: Model Verificationmentioning

confidence: 99%

Forecasting of the Employment Rate in the EU ICT Field

Zatonatska

Klapkiv

Dluhopolskyi

et al. 2022

CER

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“…The influence of e-commerce is anticipated to generate jobs directly and indirectly, and to disregard jobs that no longer require social involvement. Indirect job conception will ensue through augmented demand and efficiency [8]. Thus, the impact of e-commerce on employment is imperative and exponential.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Electronic Commerce on Employment Rate: Panel Data Evidence from European Union Countries

Gherghina

Botezatu

Simionescu

2021

JTAER

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The objective of this study is to explore the impact of electronic commerce on employment rate for a sample covering the whole 27 Member States of the European Union (EU-27), from 2010 to 2019. Moreover, this research explores the clusters of nations with reference to electronic commerce adoption and employment rate dynamics. The outcomes of cluster analysis show that Western Europe reveals the most developed e-commerce marketplace in EU-27, shown by Internet accessibility and high penetration rate of digital tools, and the lowest figures are registered in the Eastern part of Europe. Furthermore, the empirical findings of the panel data fixed-effects and the generalized least squares regressions suggest that electronic commerce influences employment rate positively. By including country-level control variables (real GDP growth rate, research and development expenditure, employed ICT specialists, enterprises with Internet access), the outcomes reveal that one percentage change in enterprises’ total turnover from e-commerce sales, enterprises’ turnover from web sales, and enterprises with e-commerce sales of at least 1% turnover will increase employment rate by 0.205, 0.258, and 0.350 percentage points. Furthermore, the econometric evidence from the method of moments quantile regression models with fixed effects reinforces our findings. Enterprises’ total turnover from e-commerce sales and the percentage of enterprises with e-commerce sales of at least 1% turnover positively influence employment rate for all quintiles, but in the case of enterprises’ turnover from web sales, the effect is positive only for the quintiles ranging from 0.5–0.8.

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